Development of Belt Grinding Devices for Screw Rotor and Prediction of Material Removal Rates
YANG Heran1,2;HE Yuan1,2;SUN Xingwei1,2;DONG Zhixu1,2;QIAO Heting1
1.College of Mechanical Engineering,Shenyang University of Technology,Shenyang,110870
2.Key Laboratory of Numerical Control Manufacturing Technology for Complex Surfaces of Liaoning Province,Shenyang,110870
YANG Heran, HE Yuan, SUN Xingwei, DONG Zhixu, QIAO Heting. Development of Belt Grinding Devices for Screw Rotor and Prediction of Material Removal Rates[J]. China Mechanical Engineering, 2021, 32(17): 2055-2062.
[1]姚斌, 卢杰, 蔡志钦, 等. 螺杆转子成形磨削用砂轮廓形的包络-像素设计方法[J]. 西安交通大学学报, 2020, 54(2):16-23.
YAO Bin, LU Jie, CAI Zhiqin, et al. Envelope-Pixel Design for Generating Grinding Wheel Profile in Forming Screw Rotor[J]. Journal of Xian Jiaotong University, 2020, 54(2):16-23.
[2]王品章. 发动机叶片机器人磨抛系统关键技术研究[D]. 南京:南京航空航天大学, 2019.
WANG Pinzhang. Research on Key Technology of Blade Grinding and Polishing Robot System[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2019.
[3]ZHE H, JIANYONG L, YUEMING L, et al. Investigating the Effects of Contact Pressure on Rail Material Abrasive Belt Grinding Performance[J]. International Journal of Advanced Manufacturing Technology, 2017, 93(10):1-8.
[4]孙聪, 李清良, 修世超, 等. 端面磨削加工工件表面材料的去除机理[J]. 东北大学学报(自然科学版), 2020, 41(3):393-398.
SUN Cong, LI Qingliang, XIU Shichao, et al. Workpieces Surface Material Removal Mechanism of Disc Grinding[J]. Journal of Northeastern University( Natural Science), 2020, 41(3):393-398.
[5]PANDIYAN V, CAESARENDRA W, TJAHJOWIDODO T, et al. Predictive Modelling and Analysis of Process Parameters on Material Removal Characteristics in Abrasive Belt Grinding Process[J]. Applied Sciences, 2017, 7( 4):363.
[6]张广鹏, 任利娟, 王启文. 基于图像信息的砂带磨削材料去除率预测模型[J]. 仪器仪表学报, 2019, 40(12):127-134.
ZHANG Guangpeng, REN Lijuan, WANG Qiwen. Image-based Prediction Model for Material Removal Rate of Abrasive Belt Grinding[J]. Chinese Journal of Scientific Instrument, 2019, 40(12):127-134.
[7]商维, 张沭玥, 郭俊, 等. 基于虚拟砂轮建模的钢轨打磨材料去除仿真研究[J]. 机械工程学报, 2018, 54(4):30-36.
SHANG Wei, ZHANG Shuyue, GUO Jun, et al. Simulation Study on Material Removal of Rail Grinding Based on Virtual Grinding Wheel Modeling[J]. Journal of Mechanical Engineering, 2018, 54(4):30-36.
[8]BAI Z H, LIU Y X, LIU F, et al. Design of Strip Edge Grinding Device for Finishing Line[J]. Iron & Steel, 2017, 52(1):98-104.
[9]WEN Z, SHI J, HE B, et al. Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training[J]. IEEE Transactions on Parallel and Distributed Systems, 2019, 30(12):2706-2717.
[10]GILLIOT M. Semi-analytical Method for n-k Inversion of Ellipsometry Data[J]. Applied Optics, 2019, 58(4):800-805.
[11]CIMMINO M. Semi-Analytical Method for g-Function Calculation of Bore Fields with Series-and Parallel-connected Boreholes[J]. Science and Technology for the Built Environment, 2019, 25(8):1007-1022.
[12]WEN ZY, HE BS, RAMAMOHANARAO K, et al. Efficient Gradient Boosted Decision Tree Training on GPUs[C]∥ IEEE International Parallel and Distributed Processing Symposium IPDPS. Vancouver, 2018:234-243.