A New Surface Topography-Based Method to Quantify Axial Error of High Speed Milling Cutters

被引:11
作者
Chen, Wanqun [1 ,2 ,3 ]
Lu, Lei [2 ]
Xie, Wenkun [4 ]
Huo, Dehong [5 ]
Yang, Kai [6 ]
机构
[1] Univ Huddersfield, Ctr Precis Technol, Huddersfield HD1 3DH, W Yorkshire, England
[2] Harbin Inst Technol, Sch Mechatron Engn, 92 West Dazhi St, Harbin 150001, Heilongjiang, Peoples R China
[3] Univ Huddersfield, EPSRC Future Metrol Hub, Haslett Bldg HA3-05, Huddersfield HD1 3DH, W Yorkshire, England
[4] Univ Coll Dublin, Ctr Micro Nano Mfg Technol MNMT Dublin, Dublin 4, Ireland
[5] Newcastle Univ, Sch Engn, Mech Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[6] Army Aviat Inst, Sch Mechatron Engn, 42 Tongzhou St, Beijing 101123, Peoples R China
来源
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME | 2018年 / 140卷 / 11期
基金
英国工程与自然科学研究理事会; 中国国家自然科学基金;
关键词
axial error; tool runout; surface prediction; milling; tool marks; EMPIRICAL MODE DECOMPOSITION; CUTTING FORCE; CHIP THICKNESS; RUNOUT; SYSTEM; IDENTIFICATION;
D O I
10.1115/1.4041180
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Cutting tool rotation errors have significant influence on the machined surface quality, especially in micromilling. Precision metrology instruments are usually needed to measure the rotation error accurately. However, it is difficult to directly measure the axial error of micromilling tools due to the small diameters and ultra-high rotational speed. To predict the axial error of high speed milling tools in the actual machining conditions and avoid the use of expensive metrology instruments, a novel method is proposed in this paper to quantify the cutting tool error in the axial direction based on the tool marks generated on the machined surface. A numerical model is established to simulate the surface topography generation, and the relationship between tool marks and the cutting tool axial error is then investigated. The tool axial errors at different rotational speeds can be detected by the proposed method. The accuracy and the reliability of the proposed method are verified by machining experiments.
引用
收藏
页数:9
相关论文
共 24 条
[1]   Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index [J].
Acharya, U. Rajendra ;
Mookiah, Muthu Rama Krishnan ;
Koh, Joel E. W. ;
Tan, Jen Hong ;
Bhandary, Sulatha V. ;
Rao, A. Krishna ;
Fujita, Hamido ;
Hagiwara, Yuki ;
Chua, Chua Kuang ;
Laude, Augustinus .
COMPUTERS IN BIOLOGY AND MEDICINE, 2016, 75 :54-62
[2]   Experimental Evaluation of Tool Run-Out in Micro Milling [J].
Attanasio, Aldo ;
Ceretti, Elisabetta .
PROCEEDINGS OF 21ST INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING (ESAFORM 2018), 2018, 1960
[3]   Modelling the cutting edge radius size effect for force prediction in micro milling [J].
Bissacco, G. ;
Hansen, H. N. ;
Slunsky, J. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2008, 57 (01) :113-116
[4]   An identification method for spindle rotation error of a diamond turning machine based on the wavelet transform [J].
Chen, Dongju ;
Fan, Jinwei ;
Zhang, Feihu .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 63 (5-8) :457-464
[5]   Research in minimum undeformed chip thickness and size effect in micro end-milling of potassium dihydrogen phosphate crystal [J].
Chen, Ni ;
Chen, Mingjun ;
Wu, Chunya ;
Pei, Xudong ;
Qian, Jun ;
Reynaerts, Dominiek .
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2017, 134 :387-398
[6]   Surface generation modelling for micro end milling considering the minimum chip thickness and tool runout [J].
Chen, Wanqun ;
Huo, Dehong ;
Teng, Xiangyu ;
Sun, Yazhou .
16TH CIRP CONFERENCE ON MODELLING OF MACHINING OPERATIONS (16TH CIRP CMMO), 2017, 58 :364-369
[7]   Techniques for calibrating spindles with nanometer error motion [J].
Grejda, R ;
Marsh, E ;
Vallance, R .
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2005, 29 (01) :113-123
[8]   The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J].
Huang, NE ;
Shen, Z ;
Long, SR ;
Wu, MLC ;
Shih, HH ;
Zheng, QN ;
Yen, NC ;
Tung, CC ;
Liu, HH .
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1998, 454 (1971) :903-995
[9]   A Novel Approach of Tool Wear Evaluation [J].
Ji, Wei ;
Shi, Jinkui ;
Liu, Xianli ;
Wang, Lihui ;
Liang, Steven Y. .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2017, 139 (09)
[10]   A runout measuring method using modeling and simulation cutting force in micro end-milling [J].
Jing, Xiubing ;
Tian, Yanling ;
Yuan, Yanjie ;
Wang, Fujun .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 91 (9-12) :4191-4201