• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2019, Vol. 55 ›› Issue (23): 200-209.doi: 10.3901/JME.2019.23.200

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Feature Decoupling and Shape Simulation of Turning Rough Surface

AN Qi1, SUO Shuangfu2, LIN Fuyan1, LI Yongjian2, SHI Jianwen2   

  1. 1. School of Mechanical Electronic & Information Engineering, China University of Mining & Technology(Beijing), Beijing 100083;
    2. Department of Mechanical Engineering, Tsinghua University, Beijing 100084
  • Received:2019-03-22 Revised:2019-07-14 Online:2019-12-05 Published:2020-02-18

Abstract: Combined with the kinematics and cutting theory of machine tools, the influencing factors of surface topography in turning process are classified and summarized. Based on the idea of decoupling complex and superimposed signals, the topography signal is divided according to the wavelength relationship by spectrum analysis. The influence of processing parameters on the signal amplitude of each wavelength band is obtained. It has solved the problem that direct analysis of the decoupling of many processing parameters causes missing of the parameters that must be considered and the complex adding of the signal components cannot be decoupled directly. In view of the difficulty of extracting relatively fine rough surface signals directly, machined surface is divided into two types:Rough surface and fine surface according to the roughness value. Starting with extracting the relatively rough surface, the influence rule of each processing component information on the actual topography is obtained. The corresponding signal components are used to replace the wavelet band signals respectively. According to this method, the relatively rough surface topography is obtained by simulation. Then the influence rule is applied to the analysis of relatively fine surface. The representation and decoupling of signal components from relatively rough surface to relatively fine surface is realized. The method presented provides a new approach for the prediction and simulation of relatively fine rough surface. Finally, the simulation of turning rough surface is realized by present method, which provides digital model for the prediction and contact analysis of turning rough surface.

Key words: turning machining, surface topography, spectrum analysis, amplitude gradient, signal decoupling, topography simulation, digital model

CLC Number: