Optics and Precision Engineering, Volume. 31, Issue 1, 129(2023)
Thermal error prediction for grinding machine spindle based on heat conduction and convolutional neural network
[1] [1] 1谢春, 张为民. 车铣复合加工中心综合误差检测及补偿策略[J]. 光学 精密工程, 2014, 22(4): 1004-1011. doi: 10.3788/OPE.20142204.1004XIECH, ZHANGW M. Comprehensive measurement errors of 5-axis turning-milling centers and their compensation strategies[J]. Opt. Precision Eng., 2014, 22(4): 1004-1011. (in Chinese). doi: 10.3788/OPE.20142204.1004
[2] N S MIAN, S FLETCHER, A P LONGSTAFF et al. Efficient estimation by FEA of machine tool distortion due to environmental temperature perturbations. Precision Engineering, 37, 372-379(2013).
[3] [3] 3何振亚, 傅建中, 陈子辰. 基于球杆仪检测五轴数控机床主轴的热误差[J]. 光学 精密工程, 2015, 23(5): 1401-1408. doi: 10.3788/ope.20152305.1401HEZH Y, FUJ ZH, CHENZ CH. Thermal error measurement of spindle for 5-axis CNC machine tool based on ball bar[J]. Opt. Precision Eng., 2015, 23(5): 1401-1408. (in Chinese). doi: 10.3788/ope.20152305.1401
[4] A M ABDULSHAHED, A P LONGSTAFF, S FLETCHER et al. Thermal error modelling of a gantry-type 5-axis machine tool using a Grey Neural Network Model. Journal of Manufacturing Systems, 41, 130-142(2016).
[5] J S CHEN, J YUAN, J NI. Thermal error modelling for real-time error compensation. The International Journal of Advanced Manufacturing Technology, 12, 266-275(1996).
[6] C X ZHANG, F GAO, Z H MENG et al. A novel linear virtual temperature constructing method for thermal error modeling of machine tools. The International Journal of Advanced Manufacturing Technology, 80, 1965-1973(2015).
[7] [7] 7章婷, 叶文华, 梁睿君, 等. 主轴热误差前瞻预测模型[J]. 计算机集成制造系统, 2010, 16(11): 2369-2374.ZHANGT, YEW H, LIANGR J, et al. Foresighted prediction model of spindle thermal error[J]. Computer Integrated Manufacturing Systems, 2010, 16(11): 2369-2374. (in Chinese)
[8] [8] 8魏弦, 高峰, 李艳, 等. 龙门机床进给系统热误差模型关键点优化[J]. 仪器仪表学报, 2016, 37(6): 1340-1346. doi: 10.3969/j.issn.0254-3087.2016.06.018WEIX, GAOF, LIY, et al. Optimization of thermal error model critical point for gantry machine tool feeding system[J]. Chinese Journal of Scientific Instrument, 2016, 37(6): 1340-1346. (in Chinese). doi: 10.3969/j.issn.0254-3087.2016.06.018
[9] J H LEE, J H LEE, S H YANG. Development of thermal error model with minimum number of variables using fuzzy logic strategy. KSME International Journal, 15, 1482-1489(2001).
[10] A M ABDULSHAHED, A P LONGSTAFF, S FLETCHER. The application of ANFIS prediction models for thermal error compensation on CNC machine tools. Applied Soft Computing, 27, 158-168(2015).
[11] [11] 11苗恩铭, 龚亚运, 成天驹, 等. 支持向量回归机在数控加工中心热误差建模中的应用[J]. 光学 精密工程, 2013, 21(4): 980-986. doi: 10.3788/ope.20132104.0980MIAOE M, GONGY Y, CHENGT J, et al. Application of support vector regression machine to thermal error modelling of machine tools[J]. Opt. Precision Eng., 2013, 21(4): 980-986. (in Chinese). doi: 10.3788/ope.20132104.0980
[12] K C WANG. Thermal error modeling of a machining center using grey system theory and HGA-trained neural network. 2006 IEEE Conference on Cybernetics and Intelligent Systems, 1-7(2006).
[13] Y D WANG, G X ZHANG, K S MOON et al. Compensation for the thermal error of a multi-axis machining center. Journal of Materials Processing Technology, 75, 45-53(1998).
[14] S ESKANDARI, B AREZOO, A. PositionalABDULLAH. The International Journal of Advanced Manufacturing Technology, 65, 1635-1649(2013).
[15] A M ABDULSHAHED, A LONGSTAFF, S FLETCHER et al. Application of GNNMCI(1, N) to Environmental Thermal Error Modelling of CNC Machine Tools(2013).
[16] L P WANG, H T WANG, T M LI et al. A hybrid thermal error modeling method of heavy machine tools in
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Peitong WANG, Jinwei FAN, Xingfei REN, Zhuang LI. Thermal error prediction for grinding machine spindle based on heat conduction and convolutional neural network[J]. Optics and Precision Engineering, 2023, 31(1): 129
Category: Micro/Nano Technology and Fine Mechanics
Received: Jul. 29, 2022
Accepted: --
Published Online: Feb. 9, 2023
The Author Email: FAN Jinwei (jwfan@bjt.edu.cn)