[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