Most Download articles

Published in last 1 year | In last 2 years| In last 3 years| All| Most Downloaded in Recent Month | Most Downloaded in Recent Year|

In last 2 years

Please wait a minute...


For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails

Select

Research Progresses of Superhydrophobic Surface Processing Technology and Abrasion Resistance HUANG Yun, HUANG Jianchao, XIAO Guijian, LIU Shuai, LIN Ouchuan, LIU Zhenyang China Mechanical Engineering    2024, 35 (01): 2-26.   DOI: 10.3969/j.issn.1004-132X.2024.01.001 Abstract （771）      PDF（pc） （50387KB）（795）       Knowledge map    Save The abrasion resistance of currently prepared superhydrophobic surfaces is generally poor, which limite the applications in various fields. Studied results found that micro-nano structure and low surface energy were the key factors to achieve superhydrophobic properties. Firstly, based on the mechanism of superhydrophobic surface, the superhydrophobic surface texture was summarized, aiming to solve the wear-prone challenge of micro-nano structures by optimizing the surface texture. Secondly, the superhydrophobic surface processing technology was summarized, and measures to reduce surface energy were analyzed in terms of cost and efficiency which might provide ideas for expanding the superhydrophobic surface processing system. Then, the means of analyzing the abrasion resistance of superhydrophobic surfaces were concluded in detail and the methods of improving the abrasion resistance of superhydrophobic surfaces were described. Finally, the future development prospects of abrasion resistant superhydrophobic surfaces was prospected, with a view to promote the large-scale applications of superhydrophobic surfaces in engineering. Reference | Related Articles | Metrics | Comments（0）

Select

Digital Transformation Mode and Strategy of SMEs in China WANG Baicun, ZHU Kailing, XUE Yuan, BAI Jie, ZANG Jiyuan, XIE Haibo, YANG Huayong, China Mechanical Engineering    2023, 34 (14): 1756-1763.   DOI: 10.3969/j.issn.1004-132X.2023.14.013 Abstract （1091）      PDF（pc） （5220KB）（755）       Knowledge map    Save Promoting the digital transformation of SMEs was of great significance for Chinas manufacturing industries to improve quality and increase efficiency. SMEs were facing problems in digital transformation, such as high cost, fuzzy path, talent shortage, and lacking analytical framework and reference paradigm for digital transformation. The key factors to achieve digital transformation were clarified by building an analytical framework for SMEs digital transformation herein. Through case studies, 4 basic path models of digital transformation of SMEs were summarized and proposed. Based on the above researches, targeted suggestions were proposed for SMEs digital transformation in China, so as to promote the digital and intelligent development of SMEs. Reference | Related Articles | Metrics | Comments（0）

Select

Yaw Rate Calculation and Vehicle Stability Control Considering Tire Nonlinearity MIN Delei, TONG Ruting, WEI Yintao China Mechanical Engineering    2023, 34 (21): 2521-2530.   DOI: 10.3969/j.issn.1004-132X.2023.21.001 Abstract （510）      PDF（pc） （7794KB）（732）       Knowledge map    Save Based on the nonlinear tire model， an accurate yaw rate calculation method was proposed to calculate the accurate yaw rate and applied to vehicle stability control. Tire nonlinearity was characterized by the brush model. The equivalent stability factor was obtained by perturbation analysis， and the accurate analytical solution of the yaw rate was obtained. The analysis of the existence of analytical solutions indicates that tire nonlinearity may impact vehicle stability. Real vehicle tests and control simulations based on vehicle models show that considering tire nonlinearity may effectively improve the calculation accuracy of the steady-state yaw rate as the target parameter， and improve the effect of vehicle stability control.  Reference | Related Articles | Metrics | Comments（0）

Select

A Topology Optimized Design Method for High-performance Structures with Fluid-thermal-mechanics Coupling LI Rongqi, YAN Tao, HE Zhicheng, MI Dong, JIANG Chao, ZHENG Jing China Mechanical Engineering    2024, 35 (03): 487-497.   DOI: 10.3969/j.issn.1004-132X.2024.03.011 Abstract （659）      PDF（pc） （5000KB）（698）       Knowledge map    Save The rapid advancement of topology optimization and additive manufacturing technology provided efficient methods for designing and manufacturing high-performance complex equipment. However, current topology optimization techniques for high-performance structures only considered the design of thermal-mechanics coupling or fluid-thermal coupling, and were mostly limited to simple structures. The design under the combined effects of fluid-thermal-mechanics fields was not considered, which restricted the enhancement of structural performance. This paper tackled the challenge of designing high-performance complex structures under multi-physics fields, encompassing fluid-thermal-mechanics interactions. A topology optimization method was proposed to enhance the ability to withstand temperature of intricate structures. Firstly, the governing equations of flow field, temperature field and structural displacement field were introduced to provide a unified description of the fluid-solid materials within the computational domain. Secondly, the topology optimization model was formulated with fluid-thermal-mechanics coupling. The objective function was set to minimize the average temperature, while flow energy dissipation and structural compliance served as constraint functions. Sensitivity analysis of design variables was carried out by using a combination of the variational method and Lagrangian function. Finally, the established topology optimization model was applied to the structural design of a turbine, resulting in a structure suitable for additive manufacturing with excellent heat dissipation performance and well-balanced flow channel distribution. Reference | Related Articles | Metrics | Comments（0）

Select

Patent Data Driven Product Innovation Design Based on SAO LIN Wenguang, LIU Xiaodong, XIAO Renbin China Mechanical Engineering    2023, 34 (15): 1765-1777.   DOI: 10.3969/j.issn.1004-132X.2023.15.001 Abstract （508）      PDF（pc） （5241KB）（685）       Knowledge map    Save The patent data-driven product innovation design method was proposed based on SAO using big data mining technology. Firstly， semantic dependency parsing was used to mine the SAO structure and interaction relationships among product components from patent text databases. Subsequently， a complex network knowledge model was constructed for product systems， and the constraint coefficients of components in the complex network were calculated by using structural hole theory to identify the innovative target components. Then， the semantic similarity coefficients of components were calculated using Word2Vec， and the functional similarity coefficients were calculated using SAO similarity algorithm. And the recommendation algorithm and combination matrix were integrated to achieve structural innovation， functional innovation， and functional optimization. Finally， a typical bathroom shower product was taken as an example to demonstrate the method in detail， which fully verifies the effectiveness and progressiveness of the method.  Reference | Related Articles | Metrics | Comments（0）

Select

Study on Influences of Ni Content, Nitriding Hardening Depth, and Shot Peening on Bending Fatigue Performance of 42CrMo Gears WU Zhongrui, CHEN Difa, WU Jizhan, YANG Yudian, LIU Huaiju China Mechanical Engineering    2024, 35 (03): 394-404.   DOI: 10.3969/j.issn.1004-132X.2024.03.002 Abstract （307）      PDF（pc） （9652KB）（679）       Knowledge map    Save  Single tooth bending fatigue tests were conducted on 42CrMo gears with different combinations of Ni content, nitriding hardening depth, and shot peening. The effectiveness of different process combinations on improving the bending fatigue limit of gears was investigated, providing process guidance for gear fatigue resistance manufacturing. Additionally, the contribution of surface hardness, nitriding hardening depth, surface residual stress, and Ni content to the bending fatigue limit of gears with different process combinations was analyzed using the random forest algorithm. A multiple regression model considering surface hardness, nitriding hardening depth, surface residual stress, and Ni content was established to predict the bending fatigue limit of gears. Comparing the predicted values with experimental values, the maximum error is controlled within 7.80%, providing a theoretical basis for the rapid and low-cost assessment of gear bending fatigue limit in engineering applications. Reference | Related Articles | Metrics | Comments（0）

Select

A Bionic Bouncing Robot Design and Made Inspired by Locusts WANG Kaidi, CHEN Suifan, TANG Wei, QIN Kecheng, LI Qipeng, YANG Zhan, LIU Yang, ZOU Jun China Mechanical Engineering    2023, 34 (24): 2946-2951.   DOI: 10.3969/j.issn.1004-132X.2023.24.006 Abstract （575）      PDF（pc） （3896KB）（569）       Knowledge map    Save  In order to improve the mobility of small robots and increase the diversity of movement gait, a jumping robot imitating locust bouncing was designed based on the body structure and movement mechanism of locusts, and the main body was made by 3D printing. And for reproducing the locusts bouncing mechanism, a torsion spring was installed at the joints of the robot body to simulate the locusts SLP(semilunar energy storage) mechanism. When the robot met an obstacle, the torsion spring released the stored elastic potential energy and generated a ground reaction force, which realized the robots bouncing and thus crossed the obstacle. The robot might imitate the locusts jumping actions, and simulate the locusts flexibility to a certain extent. It was experimentally verified that the robot has good jumping performance, with a jumping distance of up to 100 cm and a jumping height of up to 120 cm which is about 15 times of the own length. Reference | Related Articles | Metrics | Comments（0）

Select

Human Factor Engineering for Human-Cyber-Physical System Collaboration in Intelligent Manufacturing YANG Xiaonan, FANG Haonan, LI Jianguo, XUE Qing China Mechanical Engineering    2023, 34 (14): 1710-1722,1740.   DOI: 10.3969/j.issn.1004-132X.2023.14.008 Abstract （796）      PDF（pc） （5740KB）（547）       Knowledge map    Save The theoretical system of intelligent manufacturing for HCPS confirmed the central position of human in the intelligent manufacturing system. Starting from the demand of human-machine collaboration in the intelligent manufacturing system, the emphases of human factors in HCIM were discussed from three levels such as behavior, intention, and cognition, based on the theory of gulf. Focusing on virtual-real fusion scenarios, multimodal human-machine interaction, cognitive quantification and other methods, the importance of human factor engineering in promoting the integration of human-computer intelligence was expounded. Finally, research direction and development suggestions of human-centered intelligent manufacturing from the implementation of HCPS intelligent manufacturing systems were put forward. Reference | Related Articles | Metrics | Comments（0）

Select

Study on Design of Wheel-leg Deformable Wheel and Vehicle Control GENG Xueqing, WU Mengwu, HUA Lin, China Mechanical Engineering    2023, 34 (12): 1446-1452.   DOI: 10.3969/j.issn.1004-132X.2023.12.007 Abstract （542）      PDF（pc） （6422KB）（517）       Knowledge map    Save  In view of the demands of vehicle mobility and obstacle-crossing ability in complex terrain and road conditions, a deformable wheel structure was designed with the characteristics of switching between wheeled and legged states under different terrain and road conditions. The design principle of the deformable wheel was introduced and the structural parameters were calculated and optimized, the maximum diameter ratio of the wheel-leg deformable wheel was obtained. A set of simple and effective wheel-leg deformation control system was also designed. And then the vehicle layout design and movement process analysis was carried out. Finally, a prototype vehicle platform was made to verify the mobility and obstacle-crossing ability by physical experiments. The results show that the deformable wheel may be quickly and intelligently switched between wheeled and legged types, which enables the vehicle to run stably on both structured and unstructured roads, resulting in a high mobility and obstacle-crossing ability of the vehicle system. Reference | Related Articles | Metrics | Comments（0）

Select

Online Diagnostic Inspection and Prediction of Product Quality in Injection Molding Intelligent Factories Based on Data Mining CHEN Yu, XIANG Wei, GONG Chuan China Mechanical Engineering    2023, 34 (14): 1749-1755.   DOI: 10.3969/j.issn.1004-132X.2023.14.012 Abstract （617）      PDF（pc） （1793KB）（488）       Knowledge map    Save The dimensional accuracy of injection products was related to the injection processing parameters, and the real-time conditions of each stage in the injection processes and the changes of real-time working conditions. A workpiece quality diagnosis model was developed herein based on data mining. The real-time data collected by high-frequency sensors such as temperature, pressure, and displacement etc. in mold were used to construct the high-dimensional time series feature set. A three-stage feature selection method was used to determine the key feature subset, which was used to train the online quality detection model based on LightGBM classifier. The future values of each features were predicted based on the CNN-LSTM temporal prediction model, and the product quality was forecasted in advance with the classifier. The results show that the average recall rate of the macros is as 89.1%, and the average recall rate of the macros is as 81.6%. Reference | Related Articles | Metrics | Comments（0）

Select

Study on Force Model and Surface Integrity of Cylindrical Grinding 18CrNiMo7-6 Steels WANG Dong, CHEN Lei, ZHANG Zhipeng China Mechanical Engineering    2024, 35 (03): 381-393.   DOI: 10.3969/j.issn.1004-132X.2024.03.001 Abstract （334）      PDF（pc） （8185KB）（486）       Knowledge map    Save  In order to accurately and effectively control the influences of grinding parameters on grinding force and surface integrity, a three-stage grinding force theoretical model was established based on the plastic deformation, indentation theory and shear strain effect between abrasive particles and materials by analytical method. The brown corundum grinding wheels were selected for grinding experiments to explore the effects of grinding parameters on grinding force and the effects of grinding parameters and grinding force on surface integrity. The optimal processing parameters for cylindrical grinding were obtained through orthogonal experiments of cylindrical transverse grinding. The results show that the average prediction errors of normal and tangential grinding forces in the cylindrical grinding force model are 5.56% and 7.08%, respectively. The radial feed speed of the grinding wheel has the greatest impact on grinding force, followed by grinding width, and the influences of workpiece speed and grinding wheel particle size are relatively small. The radial feed speed and grinding width of the grinding wheel have a significant impact on residual stress, and the particle size of the grinding wheel has the greatest impact on surface roughness. As the grinding force increases, the surface roughness value continuously increases, and the residual stress firstly decreases and then increases. The maximum residual stress value along the depth direction firstly increases and then decreases. Within the parameters taken in the experiments, the distribution range of residual stress is basically 20~40 μm. The optimal combination of processing parameters is a radial feed speed of 0.15 mm/min for the grinding wheel, a workpiece speed of 120 r/min, a grinding width of 10 mm, and a grinding wheel particle size of 80. Reference | Related Articles | Metrics | Comments（0）

Select

Flexible Skin-shaped Optical Fiber Reconstruction Method for Allomorphic Aircrafts WANG Yuanfeng, ZHU Lianqing, HE Yanlin, ZHOU Kangpeng, China Mechanical Engineering    2023, 34 (15): 1873-1880.   DOI: 10.3969/j.issn.1004-132X.2023.15.012 Abstract （358）      PDF（pc） （5104KB）（479）       Knowledge map    Save  Large-scale deformation monitoring of allomorphic aircrafts in the flight processes was a research difficulty and hot spot in the aerospace field， and the existing methods were difficult to achieve high-precision three-dimensional deformation monitoring during the flight of the aircrafts. Aiming at this problem， a flexible skin-shaped fiber reconstruction method for a variant aircraft was proposed based on optical fiber sensing to achieve deformation monitoring during flight of the aircrafts. Based on the principle of fiber grating strain sensing， the relationship between fiber strain and curvature was derived， the conversion matrix between the local coordinate system and the global coordinate system of optical fiber sensing was established， the conversion of fiber measurement point coordinates to the global coordinate system was realized， and the three-dimensional deformation reconstruction algorithm was studied based on curve fitting according to the spatial curve fitting method. At the same time， in order to reduce the measurement errors of the fiber optic sensors， the calibration tests of the fiber optic sensors were carried out to obtain the strain sensitivity of the sensors. In order to verify the effectiveness of the proposed method， the three-dimensional deformation reconstruction of flexible skin samples under different curvatures was tested experimentally. Experimental results show that the average error of the shape reconstruction method is as 3.5% and the minimum error is less than 2.1% in the deformation ranges of 0～15.38 m-1 curvature of flexible skin samples. The proposed method has a good application prospect in aerospace and other fields.  Reference | Related Articles | Metrics | Comments（0）

Select

Cross-domain Fault Diagnosis of Bearings Based on Discriminant Feature Extraction and Dual-domain Alignment DONG Shaojiang, ZHOU Cunfang, CHEN Lili, XU Xiangyang China Mechanical Engineering    2023, 34 (15): 1856-1863.   DOI: 10.3969/j.issn.1004-132X.2023.15.010 Abstract （385）      PDF（pc） （4455KB）（473）       Knowledge map    Save  A deep transfer learning method was proposed to address the challenge of inconsistent feature distributions and difficulties in removing noise components in vibration data collected under different operating conditions for rolling bearings. The method utilized a combination of discriminative feature extraction and dual-domain alignment. Firstly， the labeled vibration signals and unlabeled vibration signals were segmented into fixed-length data sets using a data segmentation method. To mitigate the interference of noise signals in practical operating conditions， a channel attention mechanism known as SENet was employed. Additionally， a discriminative loss term was incorporated to assist the feature extractor in extracting features that exhibit discriminative properties. To handle the issue of inconsistent data feature distributions， the MMD was utilized to align the global domain distributions between the source and target domains. Furthermore， conditional adversarial learning techniques were employed to align the sub-domain distributions， resulting in dual-domain alignment. Experimental validation was conducted on two publicly available rolling bearing fault datasets collected under different operating conditions. The results show that the proposed method achieves an average recognition accuracy of over 98%. Comparative analyses with different diagnostic methods further demonstrate the effectiveness and superiority of the proposed method.  Reference | Related Articles | Metrics | Comments（0）

Select

Assessment Method of Environmental Impact of Casting Processes Based on Digital Twin GU Zhenyu, HE Yi, LI Dongyang China Mechanical Engineering    2023, 34 (12): 1465-1475.   DOI: 10.3969/j.issn.1004-132X.2023.12.009 Abstract （476）      PDF（pc） （4109KB）（464）       Knowledge map    Save Focusing on the new needs of foundry enterprises to carry out process environmental impacts and carbon emission evaluations, and addressing the issues of consistent management of dynamic data in dynamic evaluations of processes, the casting processes were taken as the research object and the digital twin technologies were introduced into the assessments of the environmental impacts and carbon emissions of the casting processes. A digital twin model of the casting processes for environmental impact assessments was constructed and integrated into the basic process of LCA evaluation, and a digital twin-based method for environmental impact assessments of the casting processes was proposed. By evolving from twin models to instance models and instance twins, the consistency of the process data structure was ensured, while the dynamic scene data carrying was realized by generating instance twins of different stages, and the management of dynamic process data was realized. Finally, the application of the proposed method in the environmental impact assessments of the processes was illustrated by the example of the 3.5-ton carrier V-normal casting processes in a foundry. Reference | Related Articles | Metrics | Comments（0）

Select

Research on Dynamic Modeling and Solving Method of Integrated Transmission System under Time-varying Conditions ZHANG Dingge, WANG Liyong, LI Le, ZHANG Jinle China Mechanical Engineering    2023, 34 (22): 2665-2673.   DOI: 10.3969/j.issn.1004-132X.2023.22.003 Abstract （310）      PDF（pc） （3130KB）（455）       Knowledge map    Save In order to meet the demands of real time monitoring of load characteristics and the demands of health management of the special vehicle integrated transmission system under actual complex conditions， by using the matrix analysis method and numerical solution method of planetary transmission mechanisms， and taking the real vehicle sensor data as the model input， a dynamic model of integrated transmission system was established to rapidly and continuously solve the transmission output speed and torque under time-varying conditions. The kinematic matrix， differential equation and torque balance equation of the planetary transmission mechanisms were constructed. The fast continuous solution method of the dynamic model under time-varying conditions and the method for solving road load under the conditions of missing road load information were proposed. The calculated transmission output speed and torque were compared with the bench test results under the three typical conditions of launching， shifting and acceleration. The results show that the dynamic model may realize the dynamic simulation calculation of the output characteristic of the integrated transmission under the conditions of missing road load information. It provides support for real-time monitoring， dynamic control and intelligent operation and maintenance of special vehicle integrated transmission systems.  Reference | Related Articles | Metrics | Comments（0）

Select

Design and Analysis of a Novel Weak-coupling Parallel Hip Exoskeleton with Large Angle of Rotation XU Jilong, LIU Fucai, NIU Yunzhan China Mechanical Engineering    2023, 34 (21): 2540-2547.   DOI: 10.3969/j.issn.1004-132X.2023.21.003 Abstract （352）      PDF（pc） （7047KB）（442）       Knowledge map    Save A novel bio-syncretic hip exoskeleton with large-angle and weak-coupling characteristics was proposed to solve the problems such as small workspace， difficult forward kinematics modeling， and complex control of parallel hip exoskeletons. The detailed structures of two-stage prismatic joint were designed， and the expression for calculating the slope of the groove was obtained. The man-machine complexs forward and inverse position solutions were derived by closing-vector-circle method. The inverse Jacobian matrix was obtained by taking the derivative of the inverse position solution equation. Performance analysis shows that the man-machine complex has the advantages such as large range motion， no internal singularities， good force transfer performance， and easy control. Reference | Related Articles | Metrics | Comments（0）

Select

Inverse Kinematics Solution of Robots Based on IQPSO Algorithm CHEN Zhuofan, ZHOU Kun, QIN Feifei, WANG Binrui China Mechanical Engineering    2024, 35 (02): 293-304.   DOI: 10.3969/j.issn.1004-132X.2024.02.014 Abstract （350）      PDF（pc） （9273KB）（441）       Knowledge map    Save Aiming at the problems of singular pose, non-unique solution and low solution precision in the inverse kinematics solution processes of general robots, an improved quantum particle swarm optimization algorithm was proposed. Firstly, the robot kinematics model was established by using the D-H parameter method, and the minimum pose errors at the end of the manipulators were the main optimization goal, and the constraints of the minimum joint angle changes before and after the movement and the smooth and continuous stroke were added, and the objective function was designed. Secondly, an IQPSO algorithm was designed by using the Levy flight strategy to improve the particle update method, nonlinear dynamic adjust the shrinkage and expansion factors, and using the variable weight method to calculate the optimal average position. Then, the simulation and comparison experiments of three algorithms（IQPSO,APSO,QPSO） were carried out by simulating two different solutions of single point pose and continuous trajectory. The results show that the IQPSO algorithm has the advantages of fast convergence speed and high solution accuracy; finally, the IQPSO algorithm was used in the body of the robot arm for physical verification. The results show that the trajectory composed of interpolation points obtained by the IQPSO algorithm is continuous and smooth, which further proves the stability and feasibility of the algorithm in practical motion control. Reference | Related Articles | Metrics | Comments（0）

Select

Robot Welding Trajectory Planning and High Frequency Control for Curved Seams WU Chaoqun, ZHAO Song, LEI Ting China Mechanical Engineering    2023, 34 (14): 1723-1728.   DOI: 10.3969/j.issn.1004-132X.2023.14.009 Abstract （823）      PDF（pc） （6070KB）（440）       Knowledge map    Save In a robotic real-time seam tracking system, the trajectory planning and control delay affected the tracking accuracy and welding quality. To solve this problem, a piecewise real-time trajectory planning and control method for curved seams was proposed by combining B-spline curve interpolation algorithm and EGM module. Firstly, the trajectory was segmented according to the principle of optimal interpolation time. Secondly, three times non-uniform B-spline was used to interpolate each trajectory to obtain the interpolation points. Finally, the high-frequency controller of the robot was designed. The interpolation points were sent to the robot by EGM module in a cycle of 4 ms to guide the robot movements. The experimental results show that this method may complete the planning of sine curve weld and guide the robot welding in 100 ms, and the tracking errors were controlled within ±0.2 mm, which realizes the rapid trajectory planning and high-frequency control. Reference | Related Articles | Metrics | Comments（0）

Select

Green Scheduling Optimization Method of Special Vehicle Body-in-White Prototype Shops Considering Equipment Preventive Maintenance LI Xixing, ZHOU Wenlong, TANG Hongtao, WU Rui, China Mechanical Engineering    2023, 34 (15): 1832-1847.   DOI: 10.3969/j.issn.1004-132X.2023.15.008 Abstract （328）      PDF（pc） （9794KB）（435）       Knowledge map    Save A typical multi-objective flexible job-shop green scheduling model was established， and the makespan， total energy consumption of equipment and total smoke emission were taken into consideration. And an improved artificial bee colony algorithm was designed to solve this model. Firstly， according to the characteristics of periodic power attenuation of laser equipment， a preventive maintenance strategy that could distinguish laser equipment from ordinary mechanical equipment was proposed to reduce the makespan and the frequency of equipment failure. Then， a mutation method was designed based on equipment allocation and power selection， which could improve the local search ability of the algorithm. A selection method was introduced based on crowded distance in the follow bee search stage for population regeneration to obtain high-quality individuals. Finally， the comparison experiments were carried out based on the expanded common benchmark. Meanwhile， the effectiveness and feasibility of the model and algorithm were verified through the production case of a special vehicle body-in-white prototype workshop in an automotive equipment manufacturing enterprise.  Reference | Related Articles | Metrics | Comments（0）

Select

Identification of Position-independent Geometric Errors for Rotary Axes of Five-axis Table-tilting Machine Tools LIANG Xiaobing, LU Yaoan, WANG Chengyong, China Mechanical Engineering    2023, 34 (21): 2585-2591.   DOI: 10.3969/j.issn.1004-132X.2023.21.007 Abstract （395）      PDF（pc） （5263KB）（430）       Knowledge map    Save  PIGEs of rotary axes were the important factors that affected the machining accuracy of five-axis machine tools. Taking AC type five-axis table-tilting machine tools as an example， an identification method of PIGEs of rotary axes was proposed based on the differential evolution algorithm. Firstly， a mathematical model of PIGEs and length change of ball bar was established. The initial PIGEs may be identified by existing methods. Then， an optimization objective function was defined， and the PIGEs of the rotary axes were optimized as a whole by a differential evolution algorithm to improve the identification accuracy of the rotary axes PIGEs. The experimental and simulation results show that the proposed method may effectively improve the identification accuracy of the PIGEs of the rotary axes.  Reference | Related Articles | Metrics | Comments（0）

Select

Product Architectures Evolution and Their Open Design Strategies CHENG Xianfu, ZHANG Zhihong, WANG Chenghui, PAN Yifei China Mechanical Engineering    2024, 35 (01): 109-124.   DOI: 10.3969/j.issn.1004-132X.2024.01.011 Abstract （277）      PDF（pc） （2035KB）（425）       Knowledge map    Save Product architecture represented the arrangements and combinations of physical components. It might promote innovation of product diversity, component sharing, and meet customers personalized needs. Open design might support customers to participate in product development, and open product architecture provided platform strategy for personalized product development. To further study the theory and applications of product architecture, the concept and effect of product architecture were introduced, as well as the characteristics, association and difference between single product architecture, product family architecture and open product architecture were expounded. The evolution processes of product architecture and their internal motivation were analyzed from the aspects of architecture topology, architecture development strategy, architecture organization and management. The concept, connotation, function and mechanism of product architecture were reviewed. The dependence of customers personalized needs, product architecture and enterprises open innovation strategy were discussed, and then open design strategies of product architecture were explored. Reference | Related Articles | Metrics | Comments（0）

Select

Analysis and Test on Dynamic Transmission Errors of RV Reducers under Load Conditions XU Lixin, XIA Chen, YANG Bo China Mechanical Engineering    2023, 34 (18): 2143-2152.   DOI: 10.3969/j.issn.1004-132X.2023.18.001 Abstract （460）      PDF（pc） （8485KB）（422）       Knowledge map    Save  For the current RV reducer transmission accuracy factory calibration value was detected under no-load conditions, it was difficult to reflect the real accuracy performance under torque loading conditions, in order to effectively reveal the dynamic transmission error characteristics of the RV reducers under the action of the load, a theoretical dynamic model of contact multi-body system of standard RV reducer with two crankshafts was proposed, which took the multi-error factors of geometry and position of key transmission parts into consideration. In order to effectively reveal the dynamic transmission error characteristics of RV reducers under load, during modeling, firstly, the parametric model of the whole reducer was designed and completed for the RV reducer transmission structure characteristics. Secondly, a detailed dynamic contact analysis method was proposed considering involute gear drive of the first stage, cycloidal-pin drive of the second stage, and multiple sets of turning-arm bearings and support bearings. Thus, the dynamic transmission error characteristics of reducer under torque load were discussed taking RV20E as the object. The results show that with the increase of load torque, the transmission error amplitudes of reducer are increasing, but the amplitude growth rate is decreasing. Compared with no-load conditions, the increase of theoretical transmission errors of the reducers under rated torque is as 73.1%, and the increase of experimental transmission errors under rated torque is as 58.9%. Reference | Related Articles | Metrics | Comments（0）

Select

SOC Estimation of Lithium-ion Batterys Based on Second-order Approximation Extended Kalman Filter DUAN Linchao, ZHANG Xugang, ZHANG Hua, SONG Huawei, AO Xiuyi China Mechanical Engineering    2023, 34 (15): 1797-1804.   DOI: 10.3969/j.issn.1004-132X.2023.15.004 Abstract （472）      PDF（pc） （4607KB）（420）       Knowledge map    Save To improve the accuracy of battery SOC estimation， a higher order EKF algorithm was used to estimate SOC. Firstly， the first-order Thevenin equivalent circuit model（ECM） of lithium-ion battery was established， and the function relationship between open circuit voltage（OCV） and SOC was expressed by spline function. In order to more accurately identify the ECM parameters， a new kind of with VFFRLS algorithm was proposed for on-line identification of model parameters. Since the accuracy of the VFFRLS solution depended on the setting of the initial values of the algorithm， the improved particle swarm optimization algorithm was used to obtain the initial parameters of ECM， which helped to obtain more accurate initial values of VFFRLS. Finally， the second-order EKF was employed to estimate the SOC of the batterys to improve the estimation accuracy. Two different datasets were used to demonstrate the universality of second-order EKF estimation SOC. The experimental results indicate that the mean absolute error（MAE） of second-order EKF is within 1% when estimating SOC under different working conditions， which proves the effectiveness of the proposed method.  Reference | Related Articles | Metrics | Comments（0）

Select

Research Status and Development Trends of Large Wind Turbine Main Shaft Sliding Bearings ZHU Caichao1, ZHANG Ronghua1, SONG Chaoshen1, TAN Jianjun1, YANG Liang2 China Mechanical Engineering    2024, 35 (10): 1711-1721.   DOI: 10.3969/j.issn.1004-132X.2024.10.001 Abstract （691）      PDF（pc） （4422KB）（419）       Knowledge map    Save The pace of large wind turbine units was accelerating, and the reliability of core components was increasingly important for wind turbine operations. Sliding bearings had the advantages of high load capacity, long life, easy maintenance, scalability and small size, and they had advantages and great potential for the reliable replacement of wind turbine main bearings key components produced at home. The problems of main shaft rolling bearings in high-power wind turbines and the advantages of using sliding bearings on the main shaft were analyzed herein. The technical methods and application status of wind turbine main shaft sliding bearing design, materials, lubrication, and experimental verification were present in detail, and the existing problems of high-power wind turbine main shaft sliding bearings and future development trends were summarized. It is expected to provide reference for the digital design and industrial development of high-power wind turbine main bearings. Reference | Related Articles | Metrics | Comments（0）

Select

Modeling and Experimental Research of Ground Workpiece Surface Topography after Grinding with Structured Grinding Wheels YI Jun, YI Tao, CHEN Bing, DENG Hui, ZHOU Wei, China Mechanical Engineering    2023, 34 (22): 2711-2720.   DOI: 10.3969/j.issn.1004-132X.2023.22.008 Abstract （375）      PDF（pc） （9016KB）（414）       Knowledge map    Save  The rough surface modeling method was employed to establish the surface topography model of a straight groove structured grinding wheel, considering the influences of structural characteristic parameters on the continuity of the grinding wheel surface through actual measurements. Based on the kinematics relationship between the grinding wheel and workpiece, as well as the trajectory equation of cutting edge, a prediction model for workpiece surface topography after grinding was formulated. Grinding experiments were conducted using both electroplating CBN and brazing CBN straight groove structured grinding wheels. The results show that relative errors between predicted Ra values and experimental ones are below 10%, while relative errors between predicted Rz values and experimental ones are below 12%, thereby validating the accuracy of the prediction model. Furthermore, the influences of various structural parameters on the surface topography of the workpiece were investigated. When the groove width of the grinding wheel remaines constant, an increase in the intermittent ratio of the grinding wheel resultes in an elevation of workpiece surface roughness. Conversely, when the intermittent ratio is held constant, variations in groove width have a minimal effect on workpiece surface roughness. Additionally, it is observed that roughness of the grinding wheel itself is a significant factor determining ground workpiece surface roughness. Among the three characteristic parameters of the grinding wheel surface topography investigated herein, it is observed that the skewness of the grinding wheel surface height exerts the most significant influence on the ground workpiece surface roughness. Reference | Related Articles | Metrics | Comments（0）

Select

Operating Mechanism and Data Driven Approach for Fault Alarm of Wind Turbine Gearbox Systems MENG Kang, TENG Wei, PENG Dikang, XIANG Ling, LIU Yibing China Mechanical Engineering    2023, 34 (12): 1476-1485.   DOI: 10.3969/j.issn.1004-132X.2023.12.010 Abstract （492）      PDF（pc） （9342KB）（412）       Knowledge map    Save Traditional machine learning methods were used in fault early warning of wind turbine gearboxes, the models were usually designed only by studying the relationship between data and faults, and the selection of parameters and model structure were lack of physical basis, resulting in poor interpretability and weak generalization capabilities of the models. The structure and actual operation control mode of the wind turbine gearbox were studied, the relationship between the operation mechanism and the data of corresponding supervisory control and data acquisition system was analyzed, and the operation data change trend was given qualitatively followed by deterioration of the typical gearbox faults. Finally, a series of one-class support vector machine(OCSVM) based models were constructed according to change law of the data distribution to realize the early fault warning of the wind turbines gearbox systems. Experimentsal results show that all of the proposed models may locate the fault positions of the wind turbine gearbox systems, which has clear physical significance.  Reference | Related Articles | Metrics | Comments（0）

Select

Calculation Method of LCA Parameters for Green Design and Assessment Collaboration of Electromechanical Products YAN Meng, LI Tao, YANG Chen, WANG Mingyu, YANG Dongdong China Mechanical Engineering    2023, 34 (12): 1453-1464.   DOI: 10.3969/j.issn.1004-132X.2023.12.008 Abstract （412）      PDF（pc） （7115KB）（402）       Knowledge map    Save In order to collaboratively analyze the green design and assessment processes of electromechanical products, the correlation mapping between green design and life cycle stages was established using the modeling method of multi-domain correlation of product design domain, life cycle activity domain and environmental impact assessment domain. The life cycle activity domain was correlated with the environmental impact assessment domain through the calculation method of life cycle assessment parameters.The LCA calculation tool was developed, and the calculation method of LCA parameters was applied to the whole life cycle stage of product green design. When the green design information was changed, just adjusting the corresponding parameters in the calculation tool, the environmental impact could be obtained after the design information was changed in real time, so as to help designers to re-design the product to green design. CWT3300D-165 wind turbine was used as a typical electromechanical product for application verification, and a product structure tree was established to calculate the environmental impact of the whole machine, components and parts of the product. From the calculation results, it may be seen that the two first-level components, foundation and nacelle, have the most serious environmental impact and need to focus on greenness in the product design stages and improve the green design scheme. Reference | Related Articles | Metrics | Comments（0）

Select

Research Advances in Chatter of Metal Cutting Systems Involving Time Delays REN Yongsheng, YAO Donghui, ZHANG Jinfeng China Mechanical Engineering    2023, 34 (21): 2548-2567,2576.   DOI: 10.3969/j.issn.1004-132X.2023.21.004 Abstract （342）      PDF（pc） （9923KB）（399）       Knowledge map    Save Metal cutting processes typically had distinct characteristics of delayed system.  Chatter phenomenon was a highly complex phenomenon which widely occured in various metal cutting processes.  Chatter prediction in cutting processes was the premise of chatter suppression.  The theoretical method for chatter prediction， in-process recognition techniques for chatter prediction， and influencing factors for metal cutting dynamics were reviewed.  Applications of machine tool structure materials were introduced.  Some problems and research directions in future were proposed.  Reference | Related Articles | Metrics | Comments（0）

Select

Design Techniques of Soft Robot Arms Based on Mechanics Metamaterials CHENG Jibin, DAI Ning, GUO Pei, XIONG Jiyuan, YE Shiwei, CHENG Xiaosheng China Mechanical Engineering    2023, 34 (16): 1900-1906.   DOI: 10.3969/j.issn.1004-132X.2023.16.002 Abstract （406）      PDF（pc） （7243KB）（396）       Knowledge map    Save Based on mechanics metamaterials, the soft robot arm might realize multiple bending motions through the deployment design of mechanics metamaterials. In order to investigate the deformation characteristics of this kind of soft robot arms, based on the analysis of the structure of the soft robot arms and the driving principle, a mathematical model of voxels deformation was established through the piecewise constant curvature hypothesis. At the same time, according to the bending characteristics of soft robot arm units, single-section and multi-section soft robot arm deformation prediction model were proposed. Finally, the effectiveness of the deformation prediction model was verified by the physical experiments, and the bending of more than ±90° was completed， the environment around the end was explored, which might be applied to the inspection of complex and narrow spaces. Reference | Related Articles | Metrics | Comments（0）

Select

China Mechanical Engineering    2023, 34 (14): 1-.   Abstract （289）      PDF（pc） （69666KB）（393）       Knowledge map    Save Related Articles | Metrics | Comments（0）

Select

Research on Flexible Job-shop Scheduling Problems Considering Optimization of Worker Number Allocation#br# LIANG Xianglin, SONG Yuchuan, LEI Qi, SUN Aihong China Mechanical Engineering    2023, 34 (17): 2065-2076.   DOI: 10.3969/j.issn.1004-132X.2023.17.006 Abstract （412）      PDF（pc） （4704KB）（362）       Knowledge map    Save Under the background of the shortage of workers and the increasing of workers costs， it was very important to complete the manufacturing tasks with a reasonable allocation scheme of the number of workers.  Previous studies of flexible job-shop scheduling considering worker constraints assumed that the number of workers was given.  In order to optimize the number allocation of workers with different technical levels and flexible job-shop scheduling in an integrated way， considering the penalty cost， worker base cost and performance cost， a mixed integer programming model was established to minimize the total cost， and an improved TLBO algorithm was proposed to solve the problems.  In the algorithm， an activity scheduling decoding method was designed based on the three-layer coding of worker number allocation， operation sequencing and machine selection.  A hybrid heuristic initialization method was used for initialization. An effective neighborhood structure was designed for the problem features.  The tests of several groups of examples were verified that the proposed algorithm may determine the actual number of workers with different technical levels and obtain the excellent scheduling scheme， and is superior to the comparison algorithms in performance.  Reference | Related Articles | Metrics | Comments（0）

Select

Finite Element Analysis for Extrusion, Assembly and Loosening Processes of Hi-lock Nuts ZHANG Jingdong, DENG BoGUI Xuewen, LI Jian, LIAO Ridong China Mechanical Engineering    2023, 34 (12): 1387-1394，1406.   DOI: 10.3969/j.issn.1004-132X.2023.12.001 Abstract （621）      PDF（pc） （12625KB）（357）       Knowledge map    Save  The FE（finite element） modeling method of UNJ threaded hi-lock nuts was investigated, and a modeling program was written to generate structured meshes, through which the fine FE meshed model was established. The extrusion process, assembly process and loosening behavior under transverse loads of hi-lock nuts were simulated by finite element method（FEM）, and the simulated locking torque was verified by tightening tests. The simulation results show that within a certain range, the maximum radial displacement and the locking torque of the hi-lock nuts are linearly related to the extrusion amount approximately. With the extrusion amount increases, the maximum radial displacement and the locking torque both increase. The higher the locking torque of the hi-lock nuts, the better the anti-loosening performance. However, there is an optimal value of the extrusion amount for the anti-loosening performance. Once the extrusion amount exceeds the optimum value, increasing the amount of extrusion does not have a significant effect on the improvement of the anti-loosening performance. Reference | Related Articles | Metrics | Comments（0）

Select

Design of 3K Planetary Gear Reducers with No Backlash WANG Weijun, YANG Guilin, DU Qinghao, CHEN Qingying, China Mechanical Engineering    2024, 35 (01): 36-44,55.   DOI: 10.3969/j.issn.1004-132X.2024.01.003 Abstract （585）      PDF（pc） （10399KB）（357）       Knowledge map    Save Due to the presence of clearances in the gearing of 3K planetary gear reducers， transmission clearances were introduced into the transmission chain， resulting in a decrease in transmission accuracy and causing impacts during driving direction changes. By utilizing the characteristics that the carrier did not participate in torque transmission in 3K planetary gear transmission， a flexible planetary carrier was innovatively proposed to eliminate clearances of 3K planetary gear reducers， and the effectiveness of the proposed clearance elimination mechanisms was verified through simulation analysis. Gear matching and efficiency optimization were performed to achieve high forward and backward driving efficiency. Through the development of a prototype and testing of transmission accuracy， hysteresis characteristics， sinusoidal response error， transmission efficiency， and reverse starting torque， the effectiveness of the proposed flexible planetary carrier in eliminating clearances， transmission accuracy improvement， transmission efficiency and reverse transmission performance promoting was verified.  Reference | Related Articles | Metrics | Comments（0）

Select

Machining Performance and Material Removal Mechanism of High-speed Milling of CFRP with Variable Angle under Minimal Quantity Lubrication ZHANG Lifeng, ZHANG Xiaoguang China Mechanical Engineering    2023, 34 (21): 2622-2628.   DOI: 10.3969/j.issn.1004-132X.2023.21.012 Abstract （339）      PDF（pc） （9036KB）（354）       Knowledge map    Save  High-speed cutting performance of CFRP was investigated by a specially designed regular dodecagonal cutting trajectory method. Factors such as cooling and lubrication conditions， fiber cutting angles， cutting speed， and down/up milling were analyzed for their influence mechanism on the cutting performance of CFRP. Material removal mechanism under typical fiber cutting angles was analyzed. The results indicate that when PCD milling cutter mills unidirectional CFRP with a constant 30° angular difference， both of normal cutting force（Fn）and tangential cutting force（Ft） follows a specific pattern. Compared to down milling， Fn reduces 25% at least and Ft reduces 40% at least in up milling， while the surface roughness Sa reduces 10% to 35%. Compared to dry cutting， nanofluid for minimal quantity lubrication machining Ft reduces 20% approximately， and cutting temperature decreases around 40%. Reference | Related Articles | Metrics | Comments（0）

Select

Energy-efficient Job Shop Scheduling with Variable Lot Splitting and Sublots ntermingling Based on Multi-objective Hybrid Evolutionary Algorithm XIE Fawu, LI Lingling, LI Li, HUANG Yangpeng China Mechanical Engineering    2023, 34 (13): 1576-1588,1598.   DOI: 10.3969/j.issn.1004-132X.2023.13.007 Abstract （390）      PDF（pc） （3786KB）（351）       Knowledge map    Save  For solving the lot streaming job shop scheduling， a strategy was presented integrating variable sublots splitting and sublots intermingling， and a multi-objective optimization model of lot streaming scheduling was established to minimize the energy consumption and makespan. An improved multi-objective hybrid evolutionary algorithm was presented. In order to balance the global and local searching ability of the algorithm， the population updating mechanism of the Jaya algorithm was incorporated into the decomposition based multi-objective evolutionary algorithm. Considering the scheduling characteristics of variable lot splitting and sublots intermingling， a local searching strategy was designed integrating lot splitting/merging with critical path. The performance of the proposed algorithm and the state-of-the-art algorithms were compared under a set of instances of different scales. Experimental results show that the proposed algorithm has good performance on the convergence and distribution of Pareto solution sets. Moreover， the proposed variable lot splitting and sublots intermingling strategy may effectively reduce the energy consumption and makespan.  Reference | Related Articles | Metrics | Comments（0）

Select

A Wafer Cycle Processing Time Prediction Method Incorporating Double Attention Mechanism and Parallel GRU DAI Jiabin, ZHANG Jie, WU Lihui China Mechanical Engineering    2023, 34 (14): 1640-1646.   DOI: 10.3969/j.issn.1004-132X.2023.14.001 Abstract （767）      PDF（pc） （4600KB）（351）       Knowledge map    Save Low efficiency and low prediction accuracy were caused by the large scale of production feature data, complex correlation among features, and strong correlation of feature samples in wafer fabrication processes, so a wafer processing cycle prediction method integrating double attention mechanism and parallel GRU was proposed. Firstly, Relief-F algorithm was used to reduce the dimensionality of production feature data. Secondly, a fuzzy C-mean algorithm was used to cluster the process similarity of data samples and design a parallel GRU network to explore the strong correlation among wafer feature samples. Finally, a double attention mechanism was designed to learn the complex correlation information within key features and among features and processing cycle. The experimental results show that the proposed method may effectively reduce the prediction training time and improve the prediction accuracy. Reference | Related Articles | Metrics | Comments（0）

Select

Experimental Study of Laser Assisted Water Jet Micromilling of Single Crystal β-Ga2O3 Substrates TIAN Long, HUANG Chuanzhen, LIU Dun , YAO Peng , LIU Hanlian, LIU Xuefei China Mechanical Engineering    2023, 34 (13): 1559-1567.   DOI: 10.3969/j.issn.1004-132X.2023.13.005 Abstract （428）      PDF（pc） （7739KB）（345）       Knowledge map    Save  Gallium oxide （β-Ga2O3） was a new type of high performance semiconductor material. Due to the characteristics of easy cleavage， high brittleness， poor thermal conductivity and anisotropy， the micro cracks would be easily generated in traditional precision machining and laser machining, which greatly restricted the applications of gallium oxide single crystal. Laser-assisted water jet machining might combine the advantages of high efficiency and high precision of laser machining and no thermal damages of water jet machining， which might realize the near thermal damage free machining of hard and brittle materials， thus a good application prospect was obtained in the field of semiconductor wafer processing. All-factor experimental study of laser assisted water jet micro-milling of single crystal β-Ga2O3 substrates was carried out herein. Results show that the processing parameters have significant influences on the depth and the surface roughness of the bottom of the micro-groove. By optimizing the processing parameters， the micro-groove with low surface damage， flat bottom and low surface roughness （Ra<1 μm） may be obtained by the laser assisted water jet machining.  Reference | Related Articles | Metrics | Comments（0）

Select

Research on Energy Transfer Model and Optimisation of Operating Parameters of Vibratory Rollers HUI Jizhuang, LUO Wei, ZHANG Zeyu, ZHANG Jun, WANG Jie China Mechanical Engineering    2024, 35 (03): 541-547.   DOI: 10.3969/j.issn.1004-132X.2024.03.016 Abstract （239）      PDF（pc） （1996KB）（342）       Knowledge map    Save  In order to improve the compaction quality of vibratory rollers, the energy transfer model of vibratory rollers and the optimisation of operating parameters were studied. Firstly, the system vibration dynamics model of “wheel-compacted material” was established based on the U-K equation, and the energy transfer model of vibratory roller was proposed in combination with energy conservation.Then, the vibration frequency and compaction speed were taken as the optimal working parameters to construct the optimisation model of road compaction quality.Finally, the feasibility and effectiveness of the proposed method were proved through case verification. The results show that: the ratio between the working frequency and the intrinsic frequency of the compacted material is kept within the range of 2～2 to avoid the effect of resonance.The initial stage of low-speed rolling, and after the material properties were stabilised, the rolling speed may be increased to ensure efficient compaction, which results in the vibration frequency in the range of 21.8～27 Hz and the compaction speed in the range of 2.36～2.91 km/s, to achieve the optimal compaction effectiveness. The proposed energy transfer model and operation parameter optimisation model lay a foundation for guaranteeing the compaction quality of vibratory rollers and provide a reference for improving the compaction quality and efficiency of vibratory rollers. Reference | Related Articles | Metrics | Comments（0）

Select

Effects of Tool Wear on Milling Surface Integrity and Fatigue Properties of Allvac 718Plus Superalloy GOU Ruijie, ZHANG Xiaofeng, ZHANG Hongbin, YAO Jun, LI Xun China Mechanical Engineering    2023, 34 (24): 2920-2926.   DOI: 10.3969/j.issn.1004-132X.2023.24.003 Abstract （339）      PDF（pc） （4539KB）（341）       Knowledge map    Save Based on the premise of Allvac 718Plus superalloy milling tool wear law, the influence rules of tool wear on the indicators of fine milled surface integrity were studied，and combined with specific fatigue performance tests of specimens, the influence rules and mechanism of tool wear on the fatigue performance of specimens were analyzed. It is obtained that the control range of flank face tool wear under the parameters of Allvac 718Plus fine milling is less than 0.15 mm, and the main influencing factors on fatigue performance of the specimens are also obtained. The relevant research results provide a reference for controlling the surface integrity and tool wear of Allvac 718Plus specimens in fine machining. Reference | Related Articles | Metrics | Comments（0）

Select

Research on Multi-objective Golden Eagle Optimizer for No-tardiness Job Shop Scheduling Problems with Overtime Consideration SHI Shuangyuan, XIONG Hegen China Mechanical Engineering    2023, 34 (17): 2077-2088.   DOI: 10.3969/j.issn.1004-132X.2023.17.007 Abstract （393）      PDF（pc） （5011KB）（338）       Knowledge map    Save Delivery on time was one of the important goals of the production operations in make-to-order industries. When the production load of the manufacturing system was heavy， overtime work was the most commonly used effective measure to ensure the delivery time. In order to realize the no-tardiness delivery of order tasks and the optimal use of overtime hours， a multi-objective no-tardiness job shop scheduling problem considering overtime was proposed， and a mathematical model with the objective of minimizing the total overtime hours and the makespan was established. To solve the problem effectively， a multi-objective golden eagle optimizer was proposed. In the algorithm， a coding method was designed to map the continuous solution space to the discrete solution space of the problem， a two-stage decoding scheme was proposed， an elitist no-dominated sorting selection operator was integrated， and an adaptive offspring individual generation strategy was introduced. The effectiveness and superiority of the proposed algorithm were verified by comparison experiments on 23 modified job shop scheduling problem benchmarks as experimental objects.  Reference | Related Articles | Metrics | Comments（0）