Journal of Mechanical Engineering ›› 2021, Vol. 57 ›› Issue (3): 156-173.doi: 10.3901/JME.2021.03.156
Previous Articles Next Articles
LIU Kuo1,2, HAN Wei1, WANG Yongqing1, LIU Haibo1, SONG Lei1
Received:2020-05-10
Revised:2020-11-14
Online:2021-02-05
Published:2021-03-16
CLC Number:
LIU Kuo, HAN Wei, WANG Yongqing, LIU Haibo, SONG Lei. Review on Thermal Error Compensation for Feed Axes of CNC Machine Tools[J]. Journal of Mechanical Engineering, 2021, 57(3): 156-173.
| [1] MAYR J, JEDRZEJEWSKI J,UHLMANN E,et al. Thermal issues in machine tools[J]. CIRP Annals- Manufacturing Technology,2012,61(2):771-791. [2] RAMESH R,MANNAN M,POO A. Error compensation in machine tools-a review Part II:Thermal errors[J]. International Journal of Machine Tools & Manufacture,2000,40(9):1257-1284. [3] YANG J,SHI H,FENG B,et al. Thermal error modeling and compensation for a high-speed motorized spindle[J]. The International Journal of Advanced Manufacturing Technology,2015,77(5-8):1005-1017. [4] BLASER P,PAVLIEK F,MORI K,et al. Adaptive learning control for thermal error compensation of 5-axis machine tools[J]. Journal of Manufacturing Systems,2017,44:302-309. [5] FUJISHIMA M,NARIMATSU K,IRINO N,et al. Thermal displacement reduction and compensation of a turning center[J]. CIRP Journal of Manufacturing Science and Technology,2018,22:111-115. [6] PUTZ M,REGEL J,WENZEL A,et al. Thermal errors in milling:Comparison of displacements of the machine tool,tool and workpiece[C]//Procedia CIRP. Sheffield,United kingdom:2019,82:389-394. [7] LIU M,ZHANG X,SONG H,et al. Inverse finite element method for reconstruction of deformation in the gantry structure of heavy-duty machine tool using FBG sensors[J]. Sensors (Switzerland),2018,18(7):2173. [8] TANABE I,TAKADA K. Thermal deformation of machine tool structures using resin concrete (thermal behaviour of concrete bed of machine tool in fluctuating ambient temperature)[J]. JSME International Journal,Series C:Dynamics,Control,Robotics,Design and Manufacturing,1994,37(2):384-389. [9] LIU K,LIU Y,SUN M,et al. Comprehensive thermal growth compensation method of spindle and servo axis error on a vertical drilling center[J]. International Journal of Advanced Manufacturing Technology,2017,88(9-12):2507-2516. [10] LI Y,ZHAO W,LAN S,et al. A review on spindle thermal error compensation in machine tools[J]. International Journal of Machine Tools and Manufacture,2015,95:20-38. [11] LIANG Y,SU H,LU L,et al. Thermal optimization of an ultra-precision machine tool by the thermal displacement decomposition and counteraction method[J]. The International Journal of Advanced Manufacturing Technology,2015,76(1-4):635-645. [12] 高建民,史晓军,许艾明,等. 高速高精度机床热分析与热设计技术[J]. 中国工程科学,2013,15(1):28-33. GAO Jianmin,SHI Xiaojun,XU Aiming,et al. Thermal analysis and design technology of high-speed and high-precision machine tools[J]. Strategic Study of CAE,2013,15(1):28-33. [13] ZHANG J F,FENG P F,WU Z J,et al. Thermal structure design and analysis of A machine tool headstock[J]. Mechanika,2013,19(4):478-485. [14] TAMAI A,KURITA T,MATSUE T,et al. Machine tool slide protection-uses thermal insulation or shrouding to equalise thermal distortion through ambient or operating conditions.:China,DE3527491-A; JP61038832-A; JP61038833-A[P]. JP16093031 Jul 1984 JP16093131 Jul 1984:1986-02-13. [15] AGGOGERI F,MERLO A,PELLEGRINI N. A novel concept to design machine tool structures using multifunctional materials[C]//HINDUJA S,LI L. Proceedings of the 36th International MATADOR Conference. London:Springer,2010:165-168. [16] XU Z Z,LIU X J,KIM H K,et al. Thermal error forecast and performance evaluation for an air-cooling ball screw system[J]. International Journal of Machine Tools & Manufacture,2011,51(7-8):605-611. [17] KORETA N,JINNO K,ROKKAKU T,et al. Thermoelectric cooling of machine tool spindle[J]. Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering,1994,60(5):652-656. [18] BARTA P,HORNYCH J,HOREJ O. Active control of a machine tool cooling system[C]//Proceedings of the 10th Anniversary International Conference of the European Society for Precision Engineering and Nanotechnology,EUSPEN 2008. Zurich,Switzerland:2008,1:384-388. [19] SUN L,REN M,HONG H,et al. Thermal error reduction based on thermodynamics structure optimization method for an ultra-precision machine tool[J]. The International Journal of Advanced Manufacturing Technology,2017,88(5-8):1267-1277. [20] 傅建中,陈子辰. 精密机械热误差校正机理及参数遗传优化[J]. 浙江大学学报,2003(6):91-95. FU Jianzhong,CHEN Zichen. Thermal error calibration principle of precision machine and parameter genetic optimization algorithms[J]. Journal of Zhejiang University,2003(6):91-95. [21] MEKID S,OGEDENGBE T. A review of machine tool accuracy enhancement through error compensation in serial and parallel kinematic machines[J]. International Journal of Precision Technology,2010,1(3/4):251-286. [22] SVOBODA N,WANG N. Straightness and squareness errors' development due to thermal effects[C]//Laser Metrology and Machine Performance VIII-8th International Conference and Exhibition on Laser Metrology,Machine Tool,CMM and Robotic Performance,LAMDAMAP 2007. Cranfield,United kingdom:2007:186-195. [23] ZHANG Y,YANG J,XIANG S,et al. Volumetric error modeling and compensation considering thermal effect on five-axis machine tools[J]. Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2013,227(5):1102-1115. [24] OKAFOR A C,ERTEKIN Y M. Vertical machining center accuracy characterization using laser interferometer Part 2. Angular errors[J]. Journal of Materials Processing Technology,2000,105(3):407-420. [25] LIU K,LIU Y,SUN M,et al. Comprehensive thermal compensation of the servo axes of CNC machine tools[J]. International Journal of Advanced Manufacturing Technology,2016,85(9-12):2715-2728. [26] OYANGUREN A,ULACIA I,LARRANAGA J,et al. Prediction of heat generation and temperature distribution in high speed preloaded ball screws[J]. Key Engineering Materials,2014,572(1):363-366. [27] ZHANG Z,HU Y,WANG X. Comprehensive analysis and calculation discuss about preload stretching force of screw system[J]. Journal of Mechanical Engineering,2015,51(23):175-181. [28] LIU K,WANG Y,LIU Y,et al. Research on thermo-mechanical coupled experiments and thermal deformation evolution of preloaded screw[J]. International Journal of Advanced Manufacturing Technology,2018,99(9-12):2441-2450. [29] LI Y,ZHAO J,JI S. A reconstructed variable regression method for thermal error modeling of machine tools[J]. International Journal of Advanced Manufacturing Technology,2017,90(9-12):3673-3684. [30] 郭前建,徐汝锋,贺磊,等. 基于逐步回归的机床温度测点优化及热误差建模技术[J]. 制造技术与机床,2015(12):89-92. GUO Qianjian,XU Rufeng,HE Lei,et al. Temperature measurement point optimization and thermal error modeling of CNC machine tools based on stepwise regression[J]. Manufacturing Technology & Machine Tool,2015(12):89-92. [31] CHEN S H,TSAI Y L. The machine-tool temperature variation measurement and compensation using regression analysis method[C]//2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE). Tainan,Taiwan:IEEE,2016:673-676. [32] KRULEWICH D A. Temperature integration model and measurement point selection for thermally induced machine tool errors[J]. Mechatronics,1998,8(4):395-412. [33] 杨军,梅雪松,赵亮,等. 基于模糊聚类测点优化与向量机的坐标镗床热误差建模[J]. 上海交通大学学报,2014,48(8):1175-1182,1188. YNAG Jun,MEI Xuesong,ZHAO Liang,et al. Thermal Error modeling of a coordinate boring machine based on fuzzy clustering and SVM[J]. Journal of Shanghai Jiao Tong University,2014,48(8):1175-1182,1188. [34] 孙志超,陶涛,黄晓勇,等. 车床主轴与进给轴耦合热误差建模及补偿研究[J]. 西安交通大学学报,2015,49(7):105-112. SUN Zhichao,TAO Tao,HUANG Xiaoyong,et al. Modeling and compensation of coupled thermal error off spindle and feed shaft[J]. Journal of Xi'an Jiaotong Universiy,2015,49(7):105-112. [35] HAN J,WANG L,WANG H,et al. A new thermal error modeling method for CNC machine tools[J]. The International Journal of Advanced Manufacturing Technology,2012,62(1-4):205-212. [36] HAO W,HONGTAO Z,QIANJIAN G,et al. Thermal error optimization modeling and real-time compensation on a CNC turning center[J]. Journal of Materials Processing Technology,2008,207(1-3):172-179. [37] 张琨,张毅,侯广锋,等. 基于热模态分析的热误差温度测点优化选择[J]. 机床与液压,2012,40(7):1-3. ZHANG Kun,ZHANG Yi,HOU Guangfeng,et al. Selection of sensor placement for thermal error compensation based on thermal mode analysis[J]. Machine Tool & Hydraulics,2012,40(7):1-3. [38] LI Y X,YANG J G,GELVIS T,et al. Optimization of measuring points for machine tool thermal error based on grey system theory[J]. The International Journal of Advanced Manufacturing Technology,2008,35(7-8):745-750. [39] YAN J Y,YANG J G. Application of synthetic grey correlation theory on thermal point optimization for machine tool thermal error compensation[J]. Int. J. Adv. Manuf. Technol.,2009,43(11-12):1124-1132. [40] 马驰,杨军,梅雪松,等. 基于遗传算法及BP网络的主轴热误差建模[J]. 计算机集成制造系统,2015,21(10):2627-2636. MA Chi,YANG Jun,MEI Xuesong,et al. High-speed spindle thermal error modelling based on genetic algorithm and BP neural network[J]. Computer Integrated Manufacturing System,2015,21(10):2627-2636. [41] 马驰,赵亮,梅雪松,等. 基于粒子群算法与BP网络的机床主轴热误差建模[J]. 上海交通大学学报,2016,50(5):686-695. MA Chi,ZHAO Liang,MEI Xuesong,et al. Thermal error modeling of machine tool spindle based on particle swarm optimization and Neural Network[J]. Journal of Shanghai Jiao Tong University,2016,50(5):686-695. [42] CHENG Q,QI Z,ZHANG G,et al. Robust modelling and prediction of thermally induced positional error based on grey rough set theory and neural networks[J]. International Journal of Advanced Manufacturing Technology,2016,83(5-8):753-764. [43] NAUMANN C,RIEDEL I,IHLENFELDT S,et al. Characteristic diagram based correction algorithms for the thermo-elastic deformation of machine tools[C]//Procedia CIRP. Ischia,Italy:2016,41:801-805. [44] VYROUBAL J. Compensation of machine tool thermal deformation in spindle axis direction based on decomposition method[J]. Precision Engineering,2012,36(1):121-127. [45] LI Y,ZHAO W,WU W,et al. Thermal error modeling of the spindle based on multiple variables for the precision machine tool[J]. International Journal of Advanced Manufacturing Technology,2014,72(9-12):1415-1427. [46] LI Y,ZHAO W,WU W,et al. Boundary conditions optimization of spindle thermal error analysis and thermal key points selection based on inverse heat conduction[J]. The International Journal of Advanced Manufacturing Technology,2017,90(9-12):2803-2812. [47] DU Z,YAO X,HOU H,et al. A fast way to determine temperature sensor locations in thermal error compensation[J]. The International Journal of Advanced Manufacturing Technology,2018,97(1-4):455-465. [48] 李晟,姚鑫骅,傅建中. 基于通信质量约束的主轴热监测无线传感器布点优化[J]. 浙江大学学报,2013,47(7):1281-1286. LI Sheng,YAO Xinhua,FU Jianzhong. Communicating quality constraint-based location optimization of wireless sensor in thermal monitoring of spindle[J]. Journal of Zhejiang University,2013,47(7):1281-1286. [49] LI Q,LI H. A general method for thermal error measurement and modeling in CNC machine tools spindle[J]. International Journal of Advanced Manufacturing Technology,2019,103(5-8):2739-2749. [50] LIU K,LI T,WANG Y,et al. Physically based modeling method for comprehensive thermally induced errors of CNC machining centers[J]. International Journal of Advanced Manufacturing Technology,2018,94(1-4):463-474. [51] YUAN S,PENG F,ZHOU L,et al. Analysis and modeling of the thermal errors of carriage system of a precision machine tool driven by linear motor[J]. Key Engineering Materials,2014,579-580:645-653. [52] 杨军,施虎,梅雪松,等. 双驱伺服进给系统热误差的试验测量与预测模型构建[J]. 西安交通大学学报,2013,47(11):53-59. YANG Jun,SHI Hu,MEI Xuesong,et al. Measurement and modeling of thermal errors in dual-driver servo feed system[J]. Journal of Xi'an Jiaotong University,2013,47(11):53-59. [53] 马军旭,周长兴,张俊,等. 环境温度对数控机床直线运动轴位置偏差的影响[J]. 天津大学学报,2017,50(6):579-585. MA J X,ZHOU C X,ZHANG J,et al. Influence of ambient temperature on positional deviation of linear axis of cnc machine tool[J]. Journal of Tianjin University,2017,50(6):579-585. [54] LIU J,MA C,WANG S. Data-driven thermally-induced error compensation method of high-speed and precision five-axis machine tools[J]. Mechanical Systems and Signal Processing,2020,138:106538. [55] ZHANG J,LI B,ZHOU C,et al. Positioning error prediction and compensation of ball screw feed drive system with different mounting conditions[J]. Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture,2016,230(12):2307-2311. [56] SHI H,MA C,YANG J,et al. Investigation into effect of thermal expansion on thermally induced error of ball screw feed drive system of precision machine tools[J]. International Journal of Machine Tools & Manufacture,2015,97:60-71. [57] PAJOR,MIROSLAW,ZAPLATA,JACEK. Compensation of thermal deformations of the feed screw in a CNC machine tool[J]. Advances in Manufacturing Science and Technology,2011,4(35):9-17. [58] 孙志超,侯瑞生,陶涛,等. 数控车床综合热误差建模及工程应用[J]. 哈尔滨工业大学学报,2016,48(1):107-113. SUN Zhichao,HOU Ruisheng,TAO Tao,et al. Comprehensive thermal error modeling for NC lathe in engineering application[J]. Journal of Harbin Institute of Technology,2016,48(1):107-113. [59] CUI L,GAO W,ZHANG D,et al. Thermal error compensation for telescopic spindle of CNC machine tool based on SIEMENS 840D system[J]. Transactions of Tianjin University,2011,17(5):340-343. [60] ZHU J,NI J,SHIH A J. Robust machine tool thermal error modeling through thermal mode concept[J]. Journal of Manufacturing Science and Engineering,Transactions of the ASME,2008,130(6):0610061-0610069. [61] YANG H,NI J. Dynamic neural network modeling for nonlinear,nonstationary machine tool thermally induced error[J]. International Journal of Machine Tools and Manufacture,2005,45(4-5):455-465. [62] JIN C,WU B,HU Y. Wavelet neural network based on NARMA-L2 model for prediction of thermal characteristics in a feed system[J]. Chinese Journal of Mechanical Engineering,2011,24(1):33-41. [63] YAO X,FU J,XU Y,et al. Synthetic error modeling for NC machine tools based on intelligent technology[C]//Procedia CIRP. Huddersfield,United kingdom:2013,10:91-97. [64] ZHANG Y,WANG P,LIU T,et al. Active and intelligent control onto thermal behaviors of a motorized spindle unit[J]. International Journal of Advanced Manufacturing Technology,2018,98(9-12):3133-3146. [65] 吴雄彪,姚鑫骅,傅建中. 基于贝叶斯网络的数控机床热误差建模[J]. 中国机械工程,2009,20(3):293-296. WU Xiongbiao,YAO Xinhua,FU Jianzhong. Thermal error modeling of NC machine tools based on Bayesian networks[J]. China Mechanical Engineering,2009,20(3):293-296. [66] YANG Z,SUN M,LI W,et al. Modified Elman network for thermal deformation compensation modeling in machine tools[J]. International Journal of Advanced Manufacturing Technology,2011,54(5-8):669-676. [67] HUANG Y,ZHANG J,LI X,et al. Thermal error modeling by integrating GA and BP algorithms for the high-speed spindle[J]. International Journal of Advanced Manufacturing Technology,2014,71(9-12):1669-1675. [68] LI X,LEI Q,LI Z H. Application of a Bayesian network to thermal error modeling and analysis for machine tool[C]//Key Engineering Materials. 2011,455:616-620. [69] 李永祥,杨建国. 灰色系统模型在机床热误差建模中的应用[J]. 中国机械工程,2006,17(23):2439-2442. LI Yongxiang,YANG Jianguo. Application of grey system model to thermal error modeling on machine tools[J]. China Mechanical Engineering,2006,17(23):2439-2442. [70] ZHANG Y,YANG J. Modeling for machine tool thermal error based on grey model preprocessing neural network[J]. Journal of Mechanical Engineering,2011,47(7):134-139. [71] JIANG H,YANG J-G. Application of an optimized grey system model on 5-Axis CNC machine tool thermal error modeling[C]//2010 International Conference on E-Product E-Service and E-Entertainment,ICEEE2010. 2010. [72] LEI M,YANG J,WANG S,et al. Semi-supervised modeling and compensation for the thermal error of precision feed axes[J]. International Journal of Advanced Manufacturing Technology,2019,104(9-12):4629-4640. [73] LIN W,FU J,CHEN Z,et al. Modeling of NC machine tool thermal error based on adaptive best-fitting WLS-SVM[J]. Journal of Mechanical Engineering,2009,45(3):178-182. [74] 林伟青,傅建中,陈子辰,等. 数控机床热误差的动态自适应加权最小二乘支持矢量机建模方法[J]. 机械工程学报,2009,45(03):178-182. LIN Weiqing,FU Jianzhong,CHEN Zichen,et al. Modeling of NC machine tool thermal error based on adaptive best-fitting WLS-SVM[J]. Journal of Mechanical Engineering,2009,45(03):178-182. [75] 林伟青,傅建中,许亚洲,等. 基于最小二乘支持向量机的数控机床热误差预测[J]. 浙江大学学报,2008(6):905-908. LIN Weiqing,FU Jianzhong,XU Yazhou,et al. Thermal error prediction of numerical control machine tools based on least squares support vector machines[J]. Journal of Zhejiang University,2008(6):905-908. [76] 余文利,姚鑫骅,傅建中,等. 贝叶斯证据框架下的LS-SVM多工况数控机床热误差建模[J]. 中国机械工程,2014,25(17):2361-2368. YU Wenli,YAO Xinhua,FU Jianzhong,et al. Modeling of CNC machine tool thermal errors based on LS-SVM within Bayesian evidence framework[J]. China Mechanical Engineering,2014,25(17):2361-2368. [77] BAUM C,BRECHER C,KLATTE M,et al. Thermally induced volumetric error compensation by means of integral deformation sensors[C]//Procedia CIRP. 2018,72:1148-1153. [78] DU Z,YAO S,YANG J. Thermal behavior analysis and thermal error compensation for motorized spindle of machine tools[J]. International Journal of precision Engineering and Manufacturing,2015,16(7):1571-1581. [79] 颜宗卓,陶涛,侯瑞生,等. 机床电主轴热特性卷积建模研究[J]. 西安交通大学学报,2019,53(6):1-8. YAN Zongzhuo,TAO Tao,HOU Ruisheng,et al. Convolution modeling for thermal properties of motorized spindle in machine tool[J]. Journal of Xi'an Jiaotong University,2019,53(6):1-8. [80] MA C,ZHAO L,MEI X,et al. Thermal error compensation of high-speed spindle system based on a modified BP neural network[J]. The International Journal of Advanced Manufacturing Technology,2017,89(9-12):3071-3085. [81] LI Y,ZHANG J,SU D,et al. Experiment-based thermal behavior research about the feed drive system with linear scale[J]. Advances in Mechanical Engineering,2018,10(11):1-10. [82] 余文利,姚鑫骅,孙磊,等. 基于PLS和改进CVR的数控机床热误差建模[J]. 农业机械学报,2015,46(2):357-364. YU Wenli,YAO Xinhua,SUN Lei,et al. Thermal error modeling of CNC machine tool based on partial least squares and improved core vector regression[J]. Transactions of the Chinese Society for Agricultural Machinery.,2015,46(2):357-364. [83] 李晟,姚鑫骅,傅建中,等. 热电耦合无线传感能量管理系统及其在精密主轴热监测中的应用[J]. 光学精密工程,2014,22(9):2389-2398. LI Sheng,YAO Xinhua,FU Jianzhong,et al. Power management system for thermoelectric coupling wireless sensing and its application to thermal monitoring of precision spindle[J]. Optics and Precision Engineering,2014,22(9):2389-2398. [84] MITSUISHI M,WARISAWA S,HANAYAMA R. Development of an intelligent high-speed machining center[J]. CIRP Annals,2001,50(1):275-280. [85] YIN L,CHEN J,LI H,et al. Research and development of thermal error compensation embedded in CNC system[C]//Proceedings-2010 International Conference on Computational and Information Sciences,ICCIS 2010. 2010:861-864. [86] UHLMANN E,SAOJI M,PEUKERT B. Utilization of Thermal energy to compensate quasi-static deformations in modular machine tool frames[J]. Procedia CIRP,2016,40:1-6. [87] LIU K,LIU H,LI T,et al. Prediction of comprehensive thermal error of a preloaded ball screw on a gantry milling machine[J]. Journal of Manufacturing Science and Engineering,Transactions of the ASME,2018,140(2):1-9. [88] LIU K,LIU H,LI T,et al. Intelligentization of machine tools:Comprehensive thermal error compensation of machine-workpiece system[J]. International Journal of Advanced Manufacturing Technology,2019,102(9-12):3865-3877. [89] LIU K,SUN M,WU Y,et al. Comparison of accuracy stability using a thermal compensator and grating ruler[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering,2016,38(8):2403-2411. [90] 刘阔,孙名佳,吴玉亮,等. 无温度传感器的数控机床进给轴热误差补偿[J]. 机械工程学报,2016,52(15):162-169. LIU Kuo,SUN Mingjia,WU Yuliang,et al. Thermal error compensation without temperature sensors for CNC machine tools' feed drive system[J]. Journal of Mechanical Engineering,2016,52(15):162-169. [91] YANG J,ZHANG D,MEI X,et al. Thermal error simulation and compensation in a jig-boring machine equipped with a dual-drive servo feed system[J]. Proceedings of The Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture,2015,229(1):43-63. [92] YANG J,MEI X,FENG B,et al. Experiments and simulation of thermal behaviors of the dual-drive servo feed system[J]. Chinese Journal of Mechanical Engineering,2015,28(1):76-87. [93] MA C,LIU J,WANG S. Thermal error compensation of linear axis with fixed-fixed installation[J]. International Journal of Mechanical Sciences,2020:175. [94] IBARAKI S,OTA Y. A machining test to calibrate rotary axis error motions of five-axis machine tools and its application to thermal deformation test[J]. International Journal of Machine Tools and Manufacture,2014,86:81-88. [95] JIANG X,CRIPPS R J. A method of testing position independent geometric errors in rotary axes of a five-axis machine tool using a double ball bar[J]. International Journal of Machine Tools and Manufacture,2015,89:151-158. [96] TSUTSUMI M,SAITO A. Identification of angular and positional deviations inherent to 5-axis machining centers with a tilting-rotary table by simultaneous four-axis control movements[J]. International Journal of Machine Tools and Manufacture,2004,44(12-13):1333-1342. [97] MAYR J. Thermal error compensation of rotary axes and main spindles using cooling power as input parameter[J]. Journal of Manufacturing Systems,2015:8. [98] SITONG X,ZHENGCHUN D,JIANGUO Y. Recent Advances in measurement and modeling of geometric and thermal error of CNC machine tools[J]. Machine Design and Research,2019,35(6):52-57. [99] WEIKERT S. R-test,a new device for accuracy measurements on five axis machine tools[J]. CIRP Annals-Manufacturing Technology,2004,53(1):429-432. [100] GEBHARDT M. Measurement set-ups and -cycles for thermal characterization of axes of rotation of 5-axis machine tools[C]//EUSPEN,2012,1:486-489. [101] HONG C,IBARAKI S. Observation of thermal influence on error motions of rotary axes on a five-axis machine tool by static R-test[J]. International Journal of Automation Technology,2012,6(2):196-204. [102] IBARAKI S,HONG C F. Thermal test for error maps of rotary axes by R-test[J]. Key Engineering Materials,2012,523-524:809-814. [103] BITAR-NEHME E,MAYER J R R. Thermal volumetric effects under axes cycling using an invar R-test device and reference length[J]. International Journal of Machine Tools and Manufacture,2016,105:14-22. [104] MAYR J,MÜLLER M,WEIKERT S. Automated thermal main spindle & B-axis error compensation of 5-axis machine tools[J]. CIRP Annals,2016,65(1):479-482. [105] LEI W T,SUNG M P,LIU W L,et al. Double ballbar test for the rotary axes of five-axis CNC machine tools[J]. International Journal of Machine Tools and Manufacture,2007,47(2):273-285. [106] BRECHER C,SPIERLING R,DU BOIS-REYMOND F,et al. Thermo-elastic deformation of rotary axes[C]//Laser Metrology and Machine Performance XII-12th International Conference and Exhibition on Laser Metrology,Machine Tool,CMM and Robotic Performance,LAMDAMAP 2017. Wotton-under- Edge,United kingdom:2017,2017-January:111-121. [107] GEBHARDT M,SCHNEEBERGER A,WEIKERT S,et al. Thermally caused location errors of rotary axes of 5-axis machine tools[J]. International Journal of Automation Technology,2014,8(4):511-522. [108] GEBHARDT M,CAPPARELLI S,ESS M,et al. Physical and phenomenological simulation models for the thermal compensation of rotary axes of machine tools[C]//EUSPEN,2013,1:304-309. [109] GEBHARDT M,KNAPP DR. W,WEGENER DR. K. Messung thermischer einflusse auf werkzeugmaschinen zur steuerungsseitigen fehlerkorrektur am beispiel von dreh-/schwenkachsen[J]. Technisches Messen,2014,81(4):158-165. GEBHARDT M,KNAPP DR. W,WEGENER DR. K. Measurement of thermal influences on machine tools for axis correction using the example of rotary-/swivelling axes[J]. Technisches Messen,2014,81(4):158-165. [110] GEBHARDT M. Thermal behaviour and compensation of rotary axes in 5-axis machine tools[D]. Swiss:Swiss Federal Institute of Technology Zurich,2014. [111] BITAR-NEHME E,MAYER J R R. Modelling and compensation of dominant thermally induced geometric errors using rotary axes' power consumption[J]. CIRP Annals,2018,67(1):547-550. |
| [1] | MA Shuai, LENG Jiewu, CHEN Zhuyun, LI Weihua, LI Bo, LIU Qiang. Thermal Error Modeling Method towards Electric Spindles Based on Digital Twin and Deep Transfer Learning [J]. Journal of Mechanical Engineering, 2025, 61(3): 52-66. |
| [2] | SUN Guangming, HAN Bing, ZHANG Dawei, TIAN Wenjie, GUO Xin, ZHAO Jian, HE Gaiyun, GAO Weiguo, SU Zhe. Research Progress on Spatial Error Modeling and Identification Methods for CNC Machine Tools Based on Error Compensation [J]. Journal of Mechanical Engineering, 2025, 61(19): 202-228. |
| [3] | LIU Zhifeng, CHEN Chuanhai, GUO Jinyan, LI Zhijie. New Paradigm for Reliable Manufacturing of CNC Machine Tools:Upgrading from “Functional Possibilities” to “Performance Reliability” [J]. Journal of Mechanical Engineering, 2025, 61(12): 293-304. |
| [4] | LIU Zhanguang, ZHANG Yun, LIU Qingyu. Modeling for CNC Machine Tool Thermal Error Based on DF-LSTM [J]. Journal of Mechanical Engineering, 2024, 60(7): 249-257. |
| [5] | RAN Yan, TIAN Ke, DOU Yifan, JIN Chuanxi, ZHANG Genbao, MU Zongyi. Kinematic Error Transfer and Integrated Precision Modeling of the Meta-action Chain for CNC Machine Tools [J]. Journal of Mechanical Engineering, 2023, 59(23): 211-220. |
| [6] | YANG Zhaojun, HE Jialong, LIU Zhifeng, LI Guofa, CHEN Chuanhai. Recent Progress in Reliability Technology of CNC Machine Tools [J]. Journal of Mechanical Engineering, 2023, 59(19): 152-163. |
| [7] | HUANG Zuguang, WANG Shuhui, WANG Jinjiang, ZHANG Fengli. Research on Comprehensive Evaluation Method of CNC Machine Tools Based on RAMS [J]. Journal of Mechanical Engineering, 2022, 58(9): 218-230. |
| [8] | ZHANG Jiantao, LIU Zhifeng, LI Yansheng, JIANG Kai, YANG Congbin, ZHANG Caixia. Research on Displacement Deformation of the Heavy-duty CNC Machine Tool-Foundation System Based on Similarity Theory [J]. Journal of Mechanical Engineering, 2022, 58(7): 309-316. |
| [9] | LIU Kuo, SONG Lei, CHEN Hu, HAN Wei, CUI Yiming, WANG Yongqing. Mechanism-driven Method for Time-varying Error Modeling and Compensation of CNC Machine Tool's Feed Axes [J]. Journal of Mechanical Engineering, 2022, 58(3): 251-258. |
| [10] | DU Liuqing, HU Jie, YU Yongwei. Prediction of Machine Tool's Motion Accuracy Deterioration Based on Chaotic Evolution of Thermal Error [J]. Journal of Mechanical Engineering, 2022, 58(11): 231-240. |
| [11] | MENG Boyang, LI Maoyue, LIU Xianli, WANG Lihui, LIANG S Y, WANG Zhixue. Research Progress on the Architecture and Key Technologies of Machine Tool Intelligent Control System [J]. Journal of Mechanical Engineering, 2021, 57(9): 147-166. |
| [12] | LAN Yipeng, YAO Wanting, YANG Wenkang, LEI Cheng. Direct Adaptive Control of Neural Network of Magnetic Levitation System of CNC Machine Tool Linear Synchronous Motor [J]. Journal of Mechanical Engineering, 2021, 57(17): 236-242. |
| [13] | WANG Yongqing, WU Jiakun, LIU Kuo, LIU Haibo, LIU Zhisong, LIAN Meng. Quantitative Evaluation and Error Sensitivity Analysis of Accuracy Retentivity of CNC Machine Tools [J]. Journal of Mechanical Engineering, 2019, 55(5): 130-136. |
| [14] | LI Bin, ZHANG Yun, WANG Liping, LI Xuekun. Modeling for CNC Machine Tool Thermal Error Based on Genetic Algorithm Optimization Wavelet Neural Networks [J]. Journal of Mechanical Engineering, 2019, 55(21): 215-220. |
| [15] | DING Qicheng, WANG Wei, JIANG Zhong, ZHANG Jing, DU Li, WANG Liping. Comparison of the Generating Method and Detecting Ability of RTCP Trajectories for Five-axis CNC Machine Tool [J]. Journal of Mechanical Engineering, 2019, 55(20): 116-127. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
