Suppression of thermal deformation of machine tool spindle using TiC-Fe composite

被引:6
|
作者
Bae, Wonjun [1 ]
Kim, Junghwan [2 ]
Cho, Seungchan [2 ]
Kim, Yangjin [1 ]
Lee, Sang-Kwan [2 ]
机构
[1] Pusan Natl Univ, Sch Mech Engn, Busan 46241, South Korea
[2] Korea Inst Mat Sci, Composite Res Div, Chang Won 51508, South Korea
关键词
Finite element analysis (FEA); Metal-matrix composite; Machine tool spindle; Thermal characteristic test; Thermal deformation; ERROR COMPENSATION; MOTORIZED SPINDLE; MODEL; BEHAVIOR; SIMULATION; STEEL;
D O I
10.1007/s12206-022-0433-y
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The minimization of error generation in machine tool spindle is important because high-speed and ultra-precision machining are extensively utilized in industrial fields. The thermal deformation of the machine tool spindle generated by the frictional heat between the outer and inner bearings can deteriorate the machining accuracy. In this study, a TiC-SUS431 composite was fabricated using the liquid pressing infiltration method to suppress thermal deformation, and its thermal properties were obtained by thermal characteristic tests. For the transient thermal analysis with finite element analysis, the parameters of the machine tool spindle-bearing model were selected, and the boundary conditions were calculated. The temperature and thermal deformation of the analysis model were compared by applying SCM415 and TiC-SUS431 to the material of the machine tool spindle and changing the rotation speed. From the analysis results, it was demonstrated that the TiC-SUS431 machine tool spindle can improve the machining accuracy by minimizing the spindle thermal deformation.
引用
收藏
页码:2511 / 2520
页数:10
相关论文
共 50 条
  • [21] Thermal-mechanical coupling calculation method for deformation error of motorized spindle of machine tool
    Li, Yangfan
    Zhang, Yingjie
    Zhao, Yanqing
    Shi, Xiaojun
    Engineering Failure Analysis, 2021, 128
  • [22] Thermal-mechanical coupling calculation method for deformation error of motorized spindle of machine tool
    Li, Yangfan
    Zhang, Yingjie
    Zhao, Yanqing
    Shi, Xiaojun
    ENGINEERING FAILURE ANALYSIS, 2021, 128
  • [23] A thermal deformation prediction method for grinding machine’ spindle
    Jinwei Fan
    Peitong Wang
    Haohao Tao
    Ri Pan
    The International Journal of Advanced Manufacturing Technology, 2022, 118 : 1125 - 1139
  • [24] A thermal deformation prediction method for grinding machine' spindle
    Fan, Jinwei
    Wang, Peitong
    Tao, Haohao
    Pan, Ri
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 118 (3-4): : 1125 - 1139
  • [25] Programming spindle speed variation for machine tool chatter suppression
    Al-Regib, E
    Ni, J
    Lee, SH
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2003, 43 (12): : 1229 - 1240
  • [26] Sintering behavior of TiC-Fe based composite fabricated by spark plasma sintering using TiH2-graphite powders
    Bae, Sung-Yeal
    Ahn, In-Shup
    Cho, Ho-Jung
    Kim, Chul-Jin
    Park, Dong-Kyu
    PROGRESS IN POWDER METALLURGY, PTS 1 AND 2, 2007, 534-536 : 217 - +
  • [27] Reactive flame spraying of TiC-Fe cermet coating using asphalt as a carbonaceous precursor
    Liu, HY
    Huang, JH
    SURFACE & COATINGS TECHNOLOGY, 2006, 200 (18-19): : 5328 - 5333
  • [28] Simulation of thermal behavior of a CNC machine tool spindle
    Zhao, Haitao
    Yang, Jianguo
    Shen, Jinhua
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2007, 47 (06): : 1003 - 1010
  • [29] The Thermal Error Estimation of the Machine Tool Spindle Based on Machine Learning
    Chiu, Yu-Cheng
    Wang, Po-Hsun
    Hu, Yuh-Chung
    MACHINES, 2021, 9 (09)
  • [30] INFLUENCE OF COMPOSITE SPINDLE RAM ON MACHINE TOOL DYNAMIC STIFFNESS
    Kulisek, Viktor
    Kolar, Petr
    Smolik, Jan
    Ruzicka, Milan
    Janota, Miroslav
    Machalka, Martin
    MM SCIENCE JOURNAL, 2022, 2022 : 6233 - 6241