Surface generation modelling for micro end milling considering the minimum chip thickness and tool runout

被引:28
|
作者
Chen, Wanqun [1 ,2 ]
Huo, Dehong [1 ]
Teng, Xiangyu [1 ]
Sun, Yazhou [2 ]
机构
[1] Newcastle Univ, Sch Mech & Syst Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[2] Harbin Inst Technol, Ctr Precis Engn, Harbin 150001, Peoples R China
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
Micro milling; surface generation; modelling; tool runout; minimum chip thickness; SIZE;
D O I
10.1016/j.procir.2017.03.237
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Surface roughness is considered as one of the significant factors on the quality and functionality of micro components. Considering that in micro milling feed per tooth and uncut chip thickness are very small compared to those in conventional milling, it is necessary to study surface generation precisely in micro scale. This paper proposes a surface generation model for micro-end-milling process, where the effect of the minimum chip thickness (MCT) and tool runout are considered. The MCT values were determined through finite element simulations for AISI 1045 steel, and the magnitude of the tool runout in machining rotational speed was obtained by displacement measurement using capacitive sensors. Based on the proposed model, the influence of the tool runout, MCT as well as the tool geometric parameters on the surface generation was studied. Finally, simulation results were compared with experimental data and a good agreement was obtained. (C) 2017 Published by Elsevier B.V.
引用
收藏
页码:364 / 369
页数:6
相关论文
共 50 条
  • [21] Modelling of end milling surface error with considering tool-machine-workpiece compliance
    Tsinghua Univ, Beijing, China
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 1998, 38 (02): : 76 - 79
  • [22] Parametric chip thickness model based cutting forces estimation considering cutter runout of five-axis general end milling
    Zhu, Zerun
    Yan, Rong
    Peng, Fangyu
    Duan, Xianyin
    Zhou, Lin
    Song, Kang
    Guo, Chaoyong
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2016, 101 : 35 - 51
  • [23] Modeling of instantaneous uncut chip thickness in 5-AXIS flank milling considering cutter runout
    School of Mechanical Engineering and Automation, Fuzhou University, Fujian, Fuzhou
    350116, China
    不详
    100076, China
    Proc SPIE Int Soc Opt Eng,
  • [24] Modeling and Experimental Analysis the Effect of Minimum Chip Thickness on Cutting Temperature in Micro-end-milling Process
    Liang, Y. C.
    Yang, K.
    Bai, Q. S.
    Chen, W. Q.
    DIGITAL DESIGN AND MANUFACTURING TECHNOLOGY, PTS 1 AND 2, 2010, 102-104 : 506 - 510
  • [25] Estimation of minimum chip thickness in micro-milling using acoustic emission
    Mian, A. J.
    Driver, N.
    Mativenga, P. T.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2011, 225 (B9) : 1535 - 1551
  • [26] Generation Mechanism and Quality of Milling Surface Profile for Variable Pitch Tools Considering Runout
    Niu, Jinbo
    Jia, Jinjie
    Sun, Yuwen
    Guo, Dongming
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2020, 142 (12):
  • [27] Research in minimum undeformed chip thickness and size effect in micro end-milling of potassium dihydrogen phosphate crystal
    Chen, Ni
    Chen, Mingjun
    Wu, Chunya
    Pei, Xudong
    Qian, Jun
    Reynaerts, Dominiek
    INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2017, 134 : 387 - 398
  • [28] Process design and tool path generation for end milling considering tool life
    Matsumura, Rei
    Nishida, Isamu
    Shirase, Keiichi
    JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2024, 18 (04):
  • [29] Analysis of end milling surface error considering tool compliance
    Liang, SY
    Zheng, L
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 1998, 120 (01): : 207 - 210
  • [30] Research on Surface Micro Pattern Generation in Turn-Milling Considering Ball-End Milling Cutter Eccentricity
    Chen, Huiqun
    Hu, Jiliang
    PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC, CONTROL AND AUTOMATION ENGINEERING (MECAE 2018), 2018, 149 : 855 - 863