基于误差状态最优估计的精密机床装配调整工艺决策

doi:10.3901/JME.2020.11.172

机械工程学报 ›› 2020, Vol. 56 ›› Issue (11): 172-180.doi: 10.3901/JME.2020.11.172

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基于误差状态最优估计的精密机床装配调整工艺决策

郭俊康^1,2, 李宝童^1,2, 洪军^1,2, 李鑫波^1,2

1. 西安交通大学机械工程学院西安 710049;
2. 西安交通大学现代设计及转子轴承系统教育部重点实验室西安 710049

收稿日期:2019-05-21 修回日期:2019-12-27 出版日期:2020-06-05 发布日期:2020-06-12
通讯作者: 李宝童(通信作者),男,1982年出生,博士,教授,博士研究生导师。主要研究方向为机械结构数字化设计、拓扑优化设计。E-mail:baotong.me@xjtu.edu.cn
作者简介:郭俊康,男,1984年出生,助理研究员。主要研究方向为尺寸工程、装配质量保障。E-mail:guojunkang@gmail.com
基金资助:
国家自然科学基金（51805419，51635010）和中国博士后科学基金（2018M631147，2019T120899）资助项目。

Assembly Adjustment Process Planning of Precision Machine Tools Based on Optimal Estimation of Variation Propagation

GUO Junkang^1,2, LI Baotong^1,2, HONG Jun^1,2, LI Xinbo^1,2

1. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049;
2. Key Laboratory for Modern Design & Rotor-Bearing System, Ministry of Education, Xi'an Jiaotong University, Xi'an 710049

Received:2019-05-21 Revised:2019-12-27 Online:2020-06-05 Published:2020-06-12

摘要/Abstract

摘要： 精密机床作为现代装备制造业的工作母机，其设计与制造水平对国防与基础工业发展具有举足轻重的影响。几何精度是衡量机床性能的关键指标，是保证加工精度的首要因素。然而目前机床及精密机械装配工艺规划多依赖于设计人员经验，缺乏准确量化的装配测量与调整工艺研究，导致装配过程的反复装调，装配效率较低。提出了基于误差状态最优估计的精密机床装配调整工艺决策方法。基于精密机床装配过程误差传递状态空间模型，运用卡尔曼滤波方法基于测量数据对当前装配误差状态进行最优估计。在最优估计基础上，进一步采用最优控制方法，得到满足最终装配精度要求的最优调整工艺。该方法综合考虑了测量不确定度、装配精度、调整工时成本等因素，实现了精密机床装配过程调整工艺的准确决策。最后，通过卧式加工中心装配的实例分析，验证了所提出方法的可行性和有效性。

关键词: 机床, 装配, 调整工艺, 最优估计, 最优控制

Abstract: Precision machine tool is the base of modern equipment manufacturing industry. Geometric accuracy is the key requirement for machine tools. However, assembly process planning of machine tools mainly depends on the experience of designers. Adjustment process is usually repeated several times due to the lack of quantitative analysis and optimal planning. A method for assembly adjustment process planning of precision machine tools is proposed. Based on the state space model of assembly variation propagation of machine tools, Kalman filter is used to estimate the variation accumulation in each assembly step. Optimal control is introduced to obtain the optimal adjustment process to meet the final assembly accuracy based on estimation of the variation accumulation in the current step. Measurement uncertainty, assembly accuracy requirement and time cost of adjustment are taken into account in this method. The optimal adjustment process and the amount of adjustment can be calculated so that technicians only need to adjust one time to achieve the assembly accuracy. Finally, the feasibility and effectiveness of the proposed method are verified through the case study of a horizontal machining center assembly.

Key words: machine tool, assembly, adjustment process, optimal estimation, optimal control

中图分类号:

TH161

郭俊康, 李宝童, 洪军, 李鑫波. 基于误差状态最优估计的精密机床装配调整工艺决策[J]. 机械工程学报, 2020, 56(11): 172-180.

GUO Junkang, LI Baotong, HONG Jun, LI Xinbo. Assembly Adjustment Process Planning of Precision Machine Tools Based on Optimal Estimation of Variation Propagation[J]. Journal of Mechanical Engineering, 2020, 56(11): 172-180.

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基于误差状态最优估计的精密机床装配调整工艺决策

Assembly Adjustment Process Planning of Precision Machine Tools Based on Optimal Estimation of Variation Propagation

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