标题：基于机床维修决策的加工主轴精度控制技术研究
作者：刘高鹏，赵琳（桂林理工大学南宁分校，广西南宁530001）
摘要：针对加工主轴过程中需要保证精度较多的问题，利用灰色关联分析法对加工主轴过程中不同部位精度进行分析，建立灰色关联系数矩阵，求出不同部位精度与主轴精度之间的关联度，找出加工主轴过程中需要控制的关键质量点。再利用模型GM(1,1)对机床的原始维修时间数据建模，预测机床下一次维修时间，通过对机床的提前维修保证主轴关键部位的加工精度，达到对关键质量点的主动控制，保证加工主轴的精度。
关键词：主轴；灰色关联；维修时间；模型GM(1,1)；跳动精度
中图分类号：TG66;O242.21 文献标识码：B 文章编号：1001-2168（2020）08-0067-05
DOI：10.16787/j.cnki.1001-2168.dmi.2020.08.015
Research on spindle machining precision control technology based on maintenance decision of machine tool
LIU Gao-peng, ZHAO Lin (Guilin University of Technology at Nanning, Nanning, Guangxi 530001, China)
Abstract: Aiming at many precisions need to be controlled in the spindle processing, the accuracy of different parts in spindle processing was analyzed by using grey correlation analysis method. Through establishing grey correlation coefficient matrix, the relevance of accuracy between spindle and various parts was obtained, and the key quality control point in spindle processing was located. Then the grey model GM(1,1) was used to model the original maintenance time data of the machine tool and predicted the next maintenance time. The critical part accuracy was guaranteed in turn control the key quality point and ensure the processing precision of spindle through repairing machine tool ahead of time.
Key words: spindle; grey correlation; maintenance time; model GM(1,1); run-out precision