基于机理驱动模型的卧式加工中心时变误差补偿

doi:10.7527/S1000-6893.2021.25549

材料工程与机械制造

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

基于机理驱动模型的卧式加工中心时变误差补偿

宋磊¹, 刘阔¹, 崔益铭¹, 陈虎², 陈玉峰², 王永青¹

1. 大连理工大学精密与特种加工教育部重点实验室, 大连 116024;
2. 科德数控股份有限公司, 大连 116600

收稿日期:2021-03-21 修回日期:2021-07-21 发布日期:2021-07-20
通讯作者: 刘阔,E-mail:liukuo@dlut.edu.cn E-mail:liukuo@dlut.edu.cn
基金资助:
国家自然科学基金(51775085);辽宁省科技重大专项(2020JH1/10100016);国家科技重大专项(2017ZX04011013);辽宁省'兴辽英才计划’项目(XLYC1807081)

Time-varying error compensation for horizontal machining center based on mechanism-driven model

SONG Lei¹, LIU Kuo¹, CUI Yiming¹, CHEN Hu², CHEN Yufeng², WANG Yongqing¹

1. Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian 116024, China;
2. Kede CNC Co., Ltd. Dalian 116600, China

Received:2021-03-21 Revised:2021-07-21 Published:2021-07-20
Supported by:
National Natural Science Foundation of China (51775085); Liaoning Science and Technology Major Project (2020JH1/10100016); National Science and Technology Major Project (2017ZX04011013); Liaoning Revitalization Talents Program (XLYC1807081)

摘要/Abstract

摘要： 航空工业对数控机床的需求具有高精度、复合及多轴联动等特点。数控机床的时变误差影响航空零件批量加工时的精度稳定性。对此,基于传热机理的时变误差模型对航发企业的卧式加工中心进给轴进行时变误差补偿。对卧式加工中心进给轴时变误差进行了测试,并对模型中的热特性参数进行了辨识。基于TCP/IP协议建立时变误差补偿器与数控系统之间的通讯,通过机床坐标原点偏置方式实现时变误差实时补偿。最后,在某航发企业卧式加工中心HAAS HS-1RP上开展了补偿效果的验证试验。试验结果表明,补偿后进给轴热致时变误差可以减少85.2%,大幅提高了机床的精度稳定性。

关键词: 卧式加工中心, 进给轴, 时变误差, 补偿, 机理驱动

Abstract: The demand for CNC machine tools in aviation industry is characterized by high accuracy, compound and multi-axis link-age. The accuracy stability of the aeronautical parts machined by batch-process is affected by time-varying error of CNC machine tools. Therefore, the time-varying error of feed axes for horizontal machining center of aero engine enterprises is compensated in real-time based on mechanism-driven time-varying error model. The time-varying error of feed axes is measured, and the thermal characteristic parameters in the model are identified. The compensator of time-varying error communicates with CNC system based on TCP/IP protocol. The method of machine tool coordinate origin offset was used to compensate the time-varying error. Finally, the test verification is implemented on a horizontal machine tool, the HAAS HS-1RP. The results show that the time-varying error of feed axis can be reduced by 85.2% with error compensation, and the accuracy stability of machine tool is improved greatly.

Key words: horizontal machining center, feed axis, time-varying error, compensation, mechanism drivenhttp

中图分类号:

TG502.13

宋磊, 刘阔, 崔益铭, 陈虎, 陈玉峰, 王永青. 基于机理驱动模型的卧式加工中心时变误差补偿[J]. 航空学报, 2022, 43(7): 425549-425549.

SONG Lei, LIU Kuo, CUI Yiming, CHEN Hu, CHEN Yufeng, WANG Yongqing. Time-varying error compensation for horizontal machining center based on mechanism-driven model[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(7): 425549-425549.

参考文献

[1] LIU K, LIU Y, SUN M J, 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.
[2] LIANG Y C, SU H, LU L H, 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.
[3] 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 J M, SHI X J, XU A M, 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(in Chinese).
[4] 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:German, DE3527491-A[P]. 1986-02-13.
[5] XU Z Z, LIU X, KIM H, 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.
[6] DONMEZ M, BLOMQUIST D, HOCKEN R, et al. A general methodology for machine tool accuracy enhancement by error compensation[J]. Precision Engineering, 1986, 8(4):187-196.
[7] WU C, KUNG Y. Thermal analysis for the feed drive system of a CNC machine center[J]. International Journal of Machine Tools and Manufacture, 2003, 43(15):1521-1528.
[8] XU M, JIANG S Y. A thermal model of a ball screw feed drive system for a machine tool[J]. Proceedings of the Institution of Mechanical Engineers, Part C-Journal of Mechanical Engineering Science, 2011, 225(C1):186-193.
[9] 王新孟,杨军,梅雪松,等.精密坐标镗床进给系统热误差分析与预测[J].西安交通大学学报, 2015, 49(10):22-28. WANG X M, YANG J, MEI X S, et al. Analysis and prediction for thermal error of precision coordinate boring machine[J]. Journal of Xi'an Jiaotong University, 2015, 49(10):22-28(in Chinese).
[10] 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(3):178-182. LIN W Q, FU J Z, CHEN Z C, 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(in Chinese).
[11] ZHANG Y F, 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.
[12] MA C, ZHAO L, MEI X S, et al. Thermal error compensation based on genetic algorithm and artificial neural network of the shaft in the high-speed spindle system[J]. Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture, 2017, 231(5):753-767.
[13] LIU J L, MA C, WANG S L. 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.
[14] 要小鹏,殷国富,李光明.数控机床进给轴综合误差解耦建模与补偿研究[J].机械工程学报, 2016, 52(1):184-192. YAO X P, YIN G F, LI G M. Positioning error of feed axis decouple-separating modeling and compensating research for CNC machine tools[J]. Journal of Mechanical Engineering, 2016, 52(1):184-192(in Chinese).
[15] 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(23):2439-2442. LIN Y X, YANG J G. Application of grey system model to thermal error modeling on machine tools[J]. China Mechanical Engineering, 2006(23):2439-2442(in Chinese).
[16] ABDULSHAHED A M, LONGSTAFF A P, FLETCHER S, et al. Thermal error modelling of a gantry-type 5-axis machine tool using a grey neural network model[J]. Journal of Manufacturing Systems, 2016, 41:130-142.
[17] 王海同,李铁民,王立平,等.机床热误差建模研究综述[J].机械工程学报, 2015, 51(9):119-128. WANG H T, LI T M, WANG L P, et al. Review on thermal error modeling of machine tools[J]. Journal of Mechanical Engineering, 2015, 51(9):119-128(in Chinese).
[18] AHN J Y, CHUNG S C. Real-time estimation of the temperature distribution and expansion of a ball screw system using an observer[J]. Proc IMechE, Part B:J Engineering Manufacture, 2004, 218(12):1667-1681.
[19] ATTIA M, FRASER S. A generalized modelling methodology for optimized real-time compensation of thermal deformation of machine tools and CMM structures[J]. International Journal of Machine Tools&Manufacture, 1999, 39:1001-1016.
[20] 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.
[21] LIU K, SUN M J, WU Y L, et al. Thermal error modeling method for a CNC machine tool feed drive system[J]. Mathematical Problems in Engineering, 2015, 2015:436717.

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于机理驱动模型的卧式加工中心时变误差补偿

Time-varying error compensation for horizontal machining center based on mechanism-driven model

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	郑伟, 王禹淞, 姜坤, 王奕迪. X射线脉冲星导航方法研究综述[J]. 航空学报, 2023, 44(3): 527451-527451.
[2]	韩淞宇, 邵海东, 姜洪开, 张笑阳. 基于提升卷积神经网络的航空发动机高速轴承智能故障诊断[J]. 航空学报, 2022, 43(9): 625479-625479.
[3]	白克强, 张松, 但志宏, 钱秋朦. 发动机进气压力控制系统噪声抑制方法[J]. 航空学报, 2022, 43(8): 125779-125779.
[4]	李宇飞, 田威, 李波, 张楠. 机器人铣削系统精度控制方法及试验[J]. 航空学报, 2022, 43(5): 625815-625815.
[5]	廖文和, 田威, 李波, 李鹏程, 张苇, 李宇飞. 机器人精度补偿技术与应用进展[J]. 航空学报, 2022, 43(5): 627142-627142.
[6]	田威, 程思渺, 李波, 廖文和. 考虑关节回差的工业机器人精度补偿方法[J]. 航空学报, 2022, 43(5): 625569-625569.
[7]	李宁, 刘志勇, 王娜, 杨垒. 基于DUEA的天线伺服控制系统仿真[J]. 航空学报, 2022, 43(2): 324986-324986.
[8]	王大轶, 侯博文, 王炯琦, 葛东明, 李茂登, 徐超, 周海银. 航天器自主导航状态估计方法研究综述[J]. 航空学报, 2021, 42(4): 524310-524310.
[9]	刘昊, 王巍, 金伟, 牛文超, 杨智春. 垂尾抖振响应的鲁棒-FxLMS主动控制试验[J]. 航空学报, 2021, 42(2): 224090-224090.
[10]	田栢苓, 李品品, 鲁瀚辰, 宗群. 复杂环境下多无人机轨迹姿态协同控制[J]. 航空学报, 2020, 41(S2): 724245-724245.
[11]	关翔中, 蔡晨晓, 翟文华, 王磊, 邵鹏. 基于神经网络补偿的室内无人机组合导航系统[J]. 航空学报, 2020, 41(S1): 723790-723790.
[12]	张敏, 田锡天, 李波. 整体壁板压弯成形的形状控制[J]. 航空学报, 2020, 41(7): 623620-623620.
[13]	石章虎, 何晓煦, 曾德标, 雷沛. 基于误差相似性的移动机器人定位误差补偿[J]. 航空学报, 2020, 41(11): 424105-424105.
[14]	段卓毅, 王伟, 耿建中, 何大全, 马坤. 舰载机人工进场着舰精确轨迹控制技术[J]. 航空学报, 2019, 40(4): 622328-622328.
[15]	陈文亮, 潘国威, 王珉. 基于力位协同控制的大飞机机身壁板装配调姿方法[J]. 航空学报, 2019, 40(2): 522403-522403.