[1]张翔,潘旭东,王广林.介观尺度铣削刀具偏心参数在位识别方法[J].哈尔滨工程大学学报,2021,42(2):253-258.[doi:10.11990/jheu.201905079]
　ZHANG Xiang,PAN Xudong,WANG Guanglin.In-position measuring of tool runout parameters in micro-milling[J].Journal of Harbin Engineering University,2021,42(2):253-258.[doi:10.11990/jheu.201905079]
点击复制

介观尺度铣削刀具偏心参数在位识别方法(/HTML)
分享到：

《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
42
期数:
2021年2期
页码:
253-258
栏目:
出版日期:
2021-02-05

文章信息/Info

Title:
In-position measuring of tool runout parameters in micro-milling
作者:
张翔;  潘旭东;  王广林
哈尔滨工业大学 机电工程学院, 黑龙江 哈尔滨 150001
Author(s):
ZHANG Xiang;  PAN Xudong;  WANG Guanglin
School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
关键词:
介观尺度铣削; 刀具偏心量; 刀具偏心角; 解析模型; 实际切削半径; 位移测量; 在位识别; 迭代算法
分类号:
TG501.2
DOI:
10.11990/jheu.201905079
文献标志码:
A
摘要:
介观尺度铣削加工中，由制造误差和装夹误差所引起的刀具偏心对于铣削力、表面形貌、刀具寿命等影响很大。本文在分析刀具偏心参数对介观尺度实际切削半径影响的基础上，提出了一种介观尺度铣削刀具偏心参数在位识别方法。推导出耦合刀具偏心参数的切削齿实际切削半径计算公式，分析了刀具偏心参数对刀具实际切削半径的影响。在此基础上，建立了刀具偏心参数解析模型，并通过位移测量获得了模型参数。采用迭代算法对刀具偏心参数进行了解析识别，并通过实验验证了刀具偏心参数识别结果。结果表明：基于位移测量的刀具偏心量在位识别方法操作简便，识别分辨率和效率较高，同时可应用于常规尺度铣削刀具偏心参数的识别。

参考文献/References:

[1] 孙雅洲, 梁迎春, 程凯. 微米和中间尺度机械制造[J]. 机械工程学报, 2004, 40(5):1-6.SUN Yazhou, LIANG Yingchun, CHENG Kai. Micro-scale and meso-scale mechanical manufacturing[J]. Chinese journal of mechanical engineering, 2004, 40(5):1-6.
[2] HAN Zhenyu, ZHANG Xiang, SUN Yazhou, et al. Single edge cutting phenomenon and instantaneous uncut chip thickness model of micro-ball-end milling[J]. Advanced science letters, 2011, 4(4/5):1387-1393.
[3] TAI C C, FUH K H. A predictive force model in ball-end milling including eccentricity effects[J]. International journal of machine tools and manufacture, 1994, 34(7):959-979.
[4] ATTANASIO A, GARBELLINI A, CERETTI E, et al. Force modelling in micromilling of channels[J]. International journal of nanomanufacturing, 2015, 11(5/6):275-296.
[5] NAKKIEW W, LIN Chiwei, TU J F. A new method to quantify radial error of a motorized end-milling cutter/spindle system at very high speed rotations[J]. International journal of machine tools and manufacture, 2006, 46(7/8):877-889.
[6] ZHANG Dongliang, MO Rong, CHANG Zhingyong, et al. A study of computing accuracy of calibrating cutting force coefficients and run-out parameters in flat-end milling[J]. The international journal of advanced manufacturing technology, 2016, 84(1/2/3/4):621-630.
[7] LI Kexuan, ZHU Kunpeng, MEI Tao. A generic instantaneous undeformed chip thickness model for the cutting force modeling in micromilling[J]. International journal of machine tools and manufacture, 2016, 105:23-31.
[8] 张臣, 周儒荣, 庄海军, 等. 确定铣削力模型中刀具偏心参数的一种算法[J]. 机械科学与技术, 2006, 25(5):509-512.ZHANG Chen, ZHOU Rurong, ZHUANG Haijun, et al. An algorithm for determining cutters’ eccentricity paramers during modeling their milling force[J]. Mechanical science and technology, 2006, 25(5):509-512.
[9] 刘璨, 吴敬权, 刘焕牢, 等. 基于三角级数展开的铣削合力频谱推导及刀具偏心估算[J]. 中国机械工程, 2016, 27(2):246-250, 272.LIU Can, WU Jingquan, LIU Huanlao, et al. Spectral derivation of resultant milling force and eccentric estimation of tool based on trigonometric series expansion[J]. China mechanical engineering, 2016, 27(2):246-250, 272.
[10] 李成锋. 介观尺度铣削力与表面形貌建模及工艺优化研究[D]. 上海:上海交通大学, 2008.LI Chengfeng. Study on force and surface topography modeling and process optimization of meso-scale end-milling[D]. Shanghai:Shanghai Jiao Tong University, 2008.
[11] JING Xiubing, TIAN Yanling, YUAN Yanjie, et al. A runout measuring method using modeling and simulation cutting force in micro end-milling[J]. The international journal of advanced manufacturing technology, 2017, 91(9/10/11/12):4191-4201.
[12] ZHANG Xiang, HAN Zhenyu, FU Hongya, et al. Identification of spindle runout parameters in micro-ball-end milling[J]. Advanced science letters, 2011, 4(4/5):1776-1781.

备注/Memo

备注/Memo:
收稿日期:2019-05-22。
基金项目:国家自然科学基金项目（51605118）；中央高校基本科研业务费专项资金项目（HIT.NSRIF.2016042）.
作者简介:张翔,男,高级工程师,博士.
通讯作者:张翔,E-mail:zhangxiang1982@hit.edu.cn.
更新日期/Last Update: 2021-02-27