Research on Indication System and Comprehensive Evaluation Method of Accuracy Retentivity of Machine Tools

doi:10.3901/JME.2025.13.282

Abstract

Abstract: Accuracy retentivity is one of the key performance indexes of machine tools, which describes the ability of machine tools to maintain their original accuracy. The evaluation of accuracy retentivity is the theoretical basis for the accuracy retentivity improvement project of machine tools. Aiming at the existing evaluation methods of machine tool accuracy retentivity of the indication system is not sound, the lack of comprehensive evaluation methods and other issues, the meanings of inherent accuracy retentivity and service accuracy retentivity of machine tools are made clearer in this research. A static-dynamic indication system of accuracy retentivity including accuracy margin, accuracy degradation amount, accuracy degradation rate, accuracy retention degree and accuracy retention time is established. This system describes the machine tool's capacity to retain accuracy from a variety of angles, including degradation conditions, degradation processes, and degradation outcomes. A combined static/dynamic evaluation method for absolute comprehensive evaluation of accuracy retentivity is proposed. The evaluation steps include: discrete accuracy degradation data functionalization, dynamic comprehensive evaluation of the accuracy degradation process and static comprehensive evaluation of the accuracy retention capability. By combining cases, it confirms the efficacy of the given method and model.

Key words: machine tools, accuracy retentivity, comprehensive evaluation, indication system

CLC Number:

TG502

LIU Kuo, XING Jiapeng, WANG Yongqing, ZHAO Di, SONG Lei, LI Kai, LIU Haibo. Research on Indication System and Comprehensive Evaluation Method of Accuracy Retentivity of Machine Tools[J]. Journal of Mechanical Engineering, 2025, 61(13): 282-292.

References

[1] 普罗尼科夫，李昌琪，遇立基. 数控机床的精度与可靠性[M]. 北京：机械工业出版社，1987. ПРОНИКОВ A C，LI Changqi，YU Liji. Accuracy and reliability of CNC machine tools[M]. Beijing：China Machine Press，1987.
[2] 国家制造强国建设战略咨询委员会. 中国制造2025[M]. 北京：人民出版社，2015. Advisory Committee on National Manufacturing Strategy for Building a Strong Country. Made in China 2025[M]. Beijing：People’s Publishing House，2015.
[3] 国家制造强国建设战略咨询委员会. 中国制造2025重点领域技术创新绿皮书[M]. 北京：电子工业出版社，2016. Advisory Committee on National Manufacturing Strategy for Building a Strong Country. Made in China 2025 green paper on technological innovation in key areas[M]. Beijing：Publishing House of Electronics Industry，2016.
[4] 马军旭，赵万华，张根保. 国产数控机床精度保持性分析及研究现状[J]. 中国机械工程，2015，26(22)：3108-3115. MA Junxu，ZHAO Wanhua，ZHANG Genbao. Research status and analyses on accuracy retentivity of domestic CNC machine tools[J]. China Mechanical Engineering，2015，26(22)：3108-3115.
[5] 马文硕，米洁，杨庆东. 基于残余应力分析的加工中心定位精度保持性研究[J]. 中国机械工程，2016，27(17)：2293-2297. MA Wenshuo，MI Jie，YANG Qingdong. Research on positioning accuracy retentivity of machining center based on residual stress[J]. China Mechanical Engineering，2016，27(17)：2293-2297.
[6] LI Ying，LIU Zhifeng，WANG Yuezhen，et al. Experimental study on behavior of time-related preload relaxation for bolted joints subjected to vibration in different directions[J]. Tribology International，2020，142(2)：106005.
[7] YU Hui，RAN Yan，ZHANG Genbao，et al. A dynamic time-varying reliability model for linear guides considering wear degradation[J]. Nonlinear Dynamics，2021，103(1)：699-714.
[8] 王永青，吴嘉锟，刘阔，等. 数控机床精度保持性的定量评价与误差敏感度分析[J]. 机械工程学报，2019，55(5)：130-136. WANG Yongqing，WU Jiakun，LIU Kuo，et al. Quantitative evaluation and error sensitivity analysis of accuracy retentivity of CNC machine tools[J]. Journal of Mechanical Engineering，2019，55(5)：130-136.
[9] 张生永，冉琰，张根保，等. 精度保持性定量评价与精度退化机理分析[J]. 机械工程学报，2022，58(7)：193-213. ZHANG Shengyong，RAN Yan，ZHANG Genbao，et al. Quantitative evaluation of accuracy retentivity and analysis of accuracy degradation mechanism[J]. Journal of Mechanical Engineering，2022，58(7)：193-213.
[10] FENG Cong，YANG Zhaojun，CHEN Chuanhai，et al. Quantitative evaluation method for machining accuracy retention of CNC machine tools considering degenerate trajectory fluctuation[J]. Journal of Mechanical Science and Technology，2022，36(6)：3119-3129.
[11] 林炜国，祖莉，冯虎田，等. 滚珠丝杠副精度保持性评估试验研究[J]. 仪器仪表学报，2020，41(8)：196-205. LIN Weiguo，ZU Li，FENG Hutian，et al. Experimental study on the evaluation of ball screw accuracy maintenance[J]. Chinese Journal of Scientific Instrument，2020，41(8)：196-205.
[12] 刘阔，宋磊，陈虎，等. 机理驱动的数控机床进给轴时变误差建模和补偿方法[J]. 机械工程学报，2022，58(3)：251-258. LIU Kuo，SONG Lei，CHEN Hu，et al. 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.
[13] 刘阔，韩伟，王永青，等. 数控机床进给轴热误差补偿技术研究综述[J]. 机械工程学报，2021，57(3)：156-173. LIU Kuo，HAN Wei，WANG Yongqing，et al. Review on thermal error compensation for feed axes of CNC machine tools[J]. Journal of Mechanical Engineering，2021，57(3)：156-173.
[14] 苏为华，孙利荣，崔峰. 一种基于函数型数据的综合评价方法研究[J]. 统计研究，2013，30(2)：88-94. SU Weihua，SUN Lirong，CUI Feng. One comprehensive evaluation method study based on functional data[J]. Statistical Research，2013，30(2)：88-94.
[15] 黎敏，谢玄，陈泽，等. 基于函数型数据分析的半导体生产过程监控[J]. 机械工程学报，2018，54(16)：62-69. LI Min，XIE Xuan，CHEN Ze，et al. Monitoring of semiconductor manufacturing process based on functional data analysis[J]. Journal of Mechanical Engineering，2018，54(16)：62-69.
[16] RAMSAY J O，SILVERMAN B W. Applied functional data analysis[M]. New York：Springer，2002.
[17] 孙利荣. 函数型数据综合评价原理、方法及其应用研究[M]. 杭州：浙江工商大学出版社，2018. SUN Lirong. Research on the principles，methods，and applications of functional data comprehensive evaluation[M]. Hangzhou：Zhejiang Gongshang University Press，2018.
[18] 苏为华. 综合评价基本理论与前沿问题研究[M]. 北京：科学出版社，2021. SU Weihua. Research on the basic theory and frontier issues of comprehensive evaluation[M]. Beijing：Science Press，2021.
[19] 黄祖广，王舒辉，王金江，等. 基于RAMS的数控机床综合评价方法研究[J]. 机械工程学报，2022，58(9)：218-230. HUANG Zuguang，WANG Shuhui，WANG Jinjiang，et al. Research on comprehensive evaluation method of CNC machine tools based on RAMS[J]. Journal of Mechanical Engineering，2022，58(9)：218-230.