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Table of Content

    25 June 2020, Volume 31 Issue 12
    A Method for Sphericity Error Evaluation Based on Minimum Coverage Area
    HUANG Qiangxian;YUE Longlong;GUO Xiaoqian;CHENG Rongjun;MEI Jian;LI Hongli;ZHANG Liansheng
    2020, 31(12):  1387-1393. 
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    Aiming at the principle errors or model errors of sphericity error evaluation methods, a sphericity error evaluation method that mets the definition of minimum coverage area was proposed.This accurate method combined geometric search approximation algorithm with geometric structures and definition of sphericity error evaluation based on minimum coverage area method.Simulation data and data from other documents were evaluated.Evaluation results of the proposed method and other methods show that the proposed method may find the accurate sphere’s center of the minimum coverage area and obtain the exact solution of sphericity error.
    A Novel Dynamic Bayesian Network Analysis Method
    CHEN Dongning1,2;HOU Annong3;YAO Chengyu3;HOU Xin1,2;XING Ran3
    2020, 31(12):  1394-1406,1414. 
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    In order to give full play to the advantages of T-S dynamic fault tree and dynamic Bayesian network in analysis modeling and reasoning calculation respectively, a novel dynamic Bayesian network analysis method, namely dynamic Bayesian network analysis method, was proposed based on T-S dynamic fault tree.First, a T-S dynamic fault tree was converted into a dynamic Bayesian network directed acyclic graph and a T-S dynamic gate and the description rules were converted into a dynamic Bayesian network conditional probability table.Then, the algorithm of novel dynamic Bayesian network was proposed for forward reasoning leaf node failure probability, backward reasoning root node posterior probability and solving root node probability importance measure, criticality importance measure, risk achievement worth, risk reduction worth, differential importance measure and sensitivity.The feasibility of the proposed method was verified by comparing with dynamic Bayesian network analysis method based on Dugan dynamic fault tree and static Bayesian network analysis method.Finally, the reliability of hydraulic cylinder synchronous system was analyzed by the method proposed herein.Failure probability of the system, posterior probability, importance measures and sensitivities of root nodes were obtained, which may provide basis for improving system reliability and fault diagnosis.
    Performance Evaluation of Water Lubricated Stern Bearings Based on Entropy Weight Fuzzy Comprehensive Evaluation Method
    OUYANG Wu1,2,3;CHENG Qichao1,2;JIN Yong1,2;LIU Zhenglin1,2;LIU Xukang1,2;WANG Bin1,2
    2020, 31(12):  1407-1414. 
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    In order to evaluate the performances of water lubricated stern bearings reasonably, a performance evaluation model of water lubricated stern bearings was proposed based on entropy weight fuzzy comprehensive evaluation method.Six key parameters were selected from four dimensions of friction performance, wear performance, vibration reduction performance and frictional noise performance to establish the evaluation system.The selection model of expert preference coefficients was constructed and the synthetic weights were obtained based on the coefficients by linear weighting combination of subjective weights and objective weights tested by Kendall synergy coefficients.The appropriate membership function was selected to solve the fuzzy evaluation matrix, and the evaluation results were obtained on the basis of comprehensive weight and fuzzy evaluation matrix.The results show that the evaluation method considers the subjectivity of expert preference, and considers the objectivity of data.It may evaluate the relative superiority of all water lubricated stern bearings and the evaluation method has wide applications.
    Finishing Characteristics of Titanium Alloy Surfaces Using Multi-pole-coupling Rotational Magnetic Field
    SHI Chen;TIAN Yebing;FAN Zenghua;ZHOU Qiang
    2020, 31(12):  1415-1420. 
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    Aiming at the finishing requirements of titanium alloy surfaces fabricated by selective laser melting, a multi-pole-coupling rotational magnetic field finishing device was designed to study the finishing characteristics.The ANSYS Maxwell software was employed to analyze the magnetic field intensity distribution of finishing apparatus.A finishing experimental platform was established, and the influences of spindle speed, C-rotary table speed, and machining gap on surface roughness were investigated.The results show that the values of surface roughness decrease from 5.991 μm to 0.793 μm under the machining conditions of spindle speed is as 500 r/min, C-rotary table speed is as 160 r/min, and machining gap is as 0.7 mm.The scanning electron micnoscope(SEM) observation shows that the surfaces deposited layer disappeare after finishing, and the surface quality is greatly improved.
    Grinding Experimental Study of Topography-reconstructing Grinding Wheels
    ZHANG Gaofeng;GONG Junming;LI Jingtao;XIE Guoguang;SUN Hao
    2020, 31(12):  1420-1424,1436. 
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    In order to reconstruct topography of grinding wheels, a diamond fiber cutting device was designed to process intermittent micro-grooves on white corundum grinding wheel surfaces through intermittent fly-cutting method.The comparative experiments of normal temperature dry and pouring grinding of GCr15 hardened bearing steel were carried out using original wheels and topography-reconstructing grinding wheels.The effects of topography-reconstructing wheels on grinding performance were investigated.The experimental results show that compared with the original grinding wheel, either the grinding force or the grinding temperature of topography-reconstructing grinding wheel may be significantly reduced under the same conditions.Through the normal temperature dry and pouring grinding experiments, it is verified that the topography-reconstructing grinding wheel may effectively bring the grinding fluid into the grinding zones for lubrication and cooling.
    Numerical Analysis and Optimization of Carrier/Air Vehicle Integrations Based on Jet Impingements
    GAO Fudong;WANG Dexin;WANG Haidong;CAO Jianping
    2020, 31(12):  1425-1436. 
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    Accurate analysis and control of the jet impingements on flight decks was a key factor for the design and layout of a new jet blast deflector.In order to determine the reasonable layout with minimal impacts of gas jets on the surrounding environment of flight decks, finite volume method was used to simulate numerically impact effects of the twin-engine gas jet on a jet blast deflector in different layouts by using Reynolds-averaged Navier-Stokes(RANS) equations and shear-stress transport(SST) k-ω model based on sub-domain hybrid mesh.Twelve layouts consisting of different distances for the jet blast deflector and engine and different inclination angles of the jet blast deflector were selected for computing and comparing the jet impact effects when the twin engines for air vehicle are in full afterburning state.The computational results show distribution and regularities of flow field parameters, heat transfer characteristics, temperature rise of tail nozzle, impact force and moment in different layouts of the jet blast deflector.The dangerous areas of temperature field and velocity field in the impact processes were analyzed qualitatively and quantitatively.The results show that the layout in deflector and engine distance of 5 m and deflector inclination angle of 45° is more conducive to guide the gas jet upwards.Furthermore, a passive heat-insulated jet blast deflector device with good diversion performance, good thermal conductivity and high working stability was designed based on the principle of minimum inclination angle and secondary diversion.
    Vehicle Side Door Latch Power Release Mechanism with Variable DOF Force-adaptive-recovery Combined Compliant Pair
    WANG Mingyuan1;HANG Lubin1;LIU Zhe2;HUANG Xiaobo1;CHEN Yong2;MIU Hong3
    2020, 31(12):  1437-1443. 
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    Based on a proposed novel variable DOF compliant pair, a variable DOF compliant five-bar mechanism was constructed, that had features such as determined motion at singular positions and force-adaptive position recovery.Four motion modes such as pirot four-bar mechanism, planar five-bar mechanism, crank-shaper mechanism, crank-oscillating block mechanism  might be switched by different driving methods and limiting stoppers.To deal with the expected tasks of power release and electric lock actuated with one single actuator, the power release branch of compliant mechanism realized the defined motions and position recovery motions of vehicle side door latch in multiple working modes.Kinematic compatibility of compliant branch and other branches might be measured by rotation center drifting displacement, which was as a compliant adaptive measuring index of the mechanism.
    A Planar Two-dimensional Time-grating Displacement Senor with Differential Structure
    YANG Jisen;MOU Zhiming;LI Lujian;SHAO Zhengguang;TIAN Qingqing
    2020, 31(12):  1444-1451. 
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    Aiming to solve the problems of complex measuring system,difficult to guarantee detect synchronicity and complex decoupling algorithm in two-dimensional displacement measuring using two sets of high-precision one-dimensional sensing devices, a two-dimensional sensing signal direct decoupling method was proposed based on differential structure to study a planar coil type 2D time-grating displacement sensor.A 2D displacement direct decoupling model was constructed and the basic structure of the sensor was designed based on the traditional electromagnetic time-grating technology.The 3D structure model of the sensor was built and the electromagnetic simulation was carried out by ANSYS Maxwell.The error analysis and traceability were performed.Based on this, the sensor prototype was developed and the experiments were performed.The experimental results show that the prototype has errors of 91 μm and 74 μm in X and Y directions respectively in the measurement range of 79.2 mm×79.2 mm.It may realize two-dimensional displacement synchronous detection and direct decoupling, and the measurement system has simple structure and small size, which provides important reference for the research of higher performance two-dimensional time-grating sensors.

    Acceleration Power Characteristics of Battery Track Engineering Vehicles under Different Hydraulic Energy Coupling Modes
    LI Shun;LIU Huanlong;CHEN Guanpeng
    2020, 31(12):  1452-1460. 
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    In order to reduce the electric power of the rail engineering vehicles during acceleration, the electro-hydrostatic series hybrid power system was taken as the research object, and the flow coupling at the inlet pump of acceleration method was proposed based on the pump inlet and outlet pressure difference adjustment.The influences of system hydraulic and dynamic parameters on electric power under three acceleration modes, the flow coupling at the inlet pump, the flow coupling at the outlet pump, torque coupling with parallel motor, were analyzed deeply.The energy conservation characteristics of rail engineering vehicles under different hydraulic energy coupling modes were discussed.Co-simulation between AMESim and MATLAB/Simulink and experimental research shows that torque coupling with parallel motor and flow coupling at the inlet pump acceleration methods have obvious electric power reduction and energy saving effects, but the former has larger system impacts, more stringent requirements on vehicle chassis space and higher cost while the flow coupling at the inlet pump has better energy saving, stability and economy with better overall performance.
    Position Control Strategy of Parallel Digital Valve-Controlled Systems Based on Uniform Switching Method
    GAO Qiang;ZHU Yuchuan
    2020, 31(12):  1461-1468. 
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    Aiming at the problems of large positioning errors of a parallel digital valve-controlled system at low speed conditions under PNM control, a compound control strategy was proposed, where a differential PWM controller was adopted at low speed and a model-based PNM controller was adopted in other conditions.The differences among numbers of on/off valves’ switchings in digital flow control unit were big under PNM control and were further amplified by differential PWM control.Therefore, based on circular sliding method a uniform switching optimization was proposed to reduce the differences among numbers of on/off valves’ switchings.Experimental results demonstrate that the average errors of the hydraulic cylinder are reduced from 0.528 mm to 0.032 mm, and the minimum positioning errors of the hydraulic cylinder are reduced from 0.221 mm to 0.003 mm, the distribution uniformity of switchings among the valves is significantly improved.
    Multi-objective Green Re-entrant Hybrid Flow Shop Scheduling under Time-of-use Electricity Tariffs
    GENG Kaifeng1,2;YE Chunming1;WU Shaoxing2;LIU Li2
    2020, 31(12):  1469-1480. 
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    Aiming at the characteristics of multi-objective green RHFSP, based on the machine allocation and operation sequencing,the TOU electricity tariffs were introduced to establish a green scheduling optimization model aiming at minimizing the maximum completion time, total energy consumption cost and carbon emission herein.Then, an improved MOMA was proposed to solve the problems.Finally, numerical experimental results verified the feasibility of solving scheduling problems by the designed MOMA.Results show that MOMA is significantly better than multi-objective ant lion optimization algorithm (MOALO) , multi-objective particle swarm optimization algorithm (MOPSO)and elitist non-dominated sorting genetic algorithm (NSGA-Ⅱ) in the field of convergence,diversity and dominance of the solutions, but for the four algorithms there is no significant difference in the distribution metric.The proposed model may help enterprises to avoid high price period effectively, transfer power load reasonably and achieve the purpose of reducing the energy consumption costs and carbon emission.
    Low Carbon Modeling and Optimization of Milling Parameters Based on Improved Gravity Search Algorithm
    ZHAN Xinlong1;ZHANG Chaoyong1;MENG Leilei2;HONG Hui1
    2020, 31(12):  1481-1491. 
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    Aiming at the milling characteristics of computer numerical control(CNC) machines,a multi-objective optimization model of milling parameters was established considering cutter life, machined surface quality, cutting speed and milling machine process performance, while using carbon emissions per unit volume, cost of production per unit volume and processing time as objectives in milling processes, and using cutting speed, feed per tooth and cutting width as optimization variables.An INSGSA was proposed to solve the problem.In order to find the distributed evenly solution set and guide the group to the region near Pare to optimal solution set, elitist conversation strategy and fallback operations of position update were adopted by the improved algorithm.In addition, inspired by the crossover operation of genetic algorithm, the elite-elite crossover strategy and elite-non-elite crossover strategy were proposed to increase the diversity of the population.Finally, the superiority and feasibility of INSGSA were proved by comparing the non-dominated sorting gravity search algorithm (NSGSA)and the teaching-learning-based optimization (TLBO).Moreover, gray corelation method was adopted to select the satisfactory solution, which gives a new method in cutting parameter optimization for green manufacturing.
    Research on Data Driven Energy-conservation Method of Machine Tool Waiting Processes
    ZHANG Chaoyang1,2;JI Weixi1,2
    2020, 31(12):  1492-1499. 
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    In order to reduce the energy consumption of machine tool waiting processes, a real-time data driven waiting time prediction and energy-conservation control method of machine tool waiting processes was proposed.Firstly, an radio frequency identification (RFID) driven production progress evaluation method was established, and taking production progress as input data, a machine waiting time prediction model was constructed based on stacked denoising auto-encoder.Secondly, according to the predicted waiting time of machine tools, a machine state switching method was proposed to reduce the energy consumption.Finally, analyzing an elevator parts manufacturing workshop, it shows that the prediction errors of the proposed method are only 4.1%, and the energy consumption of machine waiting processes is reduced by 57%, which may realize energy saving and emission reduction in the manufacturing workshops.
    Research on Adaptive Assembly Systems for Aircraft Parts
    SHI Zhanghu1,2,3;DENG Zhenbo1,2;LUO Yong1,2;BI Xiuwen1,2;YIN Guofu2,4
    2020, 31(12):  1499-1503. 
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    Aiming at the problems during the assembly processes of aircraft parts, such as low automation and poor controllability, an adaptive assembly system was presented for aircraft parts.The system integrated digital virtual technology, laser tracker detection technology and flexible location technology.A full-closed control method was used based on forces and displacements.The key parts were located and clamped adaptively by virtual assembly system.In order to verify the functions of the intelligent system, the nose cone of aircraft was assembled.The results show that the system may guarantee aircraft parts assembled adaptively and accurately.The force and displacement during the assembly processes were under control.
    Load Spectrum Development Methodology for Accelerating Dynamics Model Virtual Iteration
    GE Wentao;HUANG Hui;LIU Zhou;QIU Xing;JIA Huifang
    2020, 31(12):  1504-1511. 
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    In order to accelerate vehicle dynamics model virtual iteration, a load spectrum development methodology which could reserve long milestone load spectrum damage, amplitude characteristics and frequency characteristics was proposed.The milestone of Belgian block single loop was reduced to 1.49 km from original 2.61 km with applications of road time domain segmentation and combinatorial optimization, an accelerated spectrum used for dynamics model virtual iteration was created.The fatigue damage of low control arm and knuckle was predicated under original spectrum and accelerated spectrum of Belgian block.Analysis results show that the damage distribution remains the same before and after the reduction, the maximum damage ratios for low control arm and knuckle are 1.081 and 1.205 respectively, which demonstrate that the accelerated spectrum may replace the original spectrum.The off-road and mountain road in durability test procedure was reduced by the same reduction methodology.The fatigue life of low control arm and knuckle was predicted.Analysis results show that the fatigue life may satisfy the target, and the vehicle completes the durability validation of proving ground successfully.The load spectrum development methodology herein provides a way to accelerate vehicle dynamics model virtual iteration.