• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2024, Vol. 60 ›› Issue (1): 65-74.doi: 10.3901/JME.2024.01.065

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High Speed Milling Specific Cutting Energy Model of CFRP and Its Surface Quality Optimization Based on Random Fiber Distribution

SONG Yang1,2, CAO Huajun1,2, ZHANG Jin1,2, LIU Lei1,2, ZHANG Qiongzhi1,2   

  1. 1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044;
    2. State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044
  • Received:2023-03-08 Revised:2023-07-22 Published:2024-03-15

Abstract: Carbon Fiber Reinforced Plastics (CFRP) has excellent properties such as high specific modulus and specific strength, corrosion resistance and good stiffness. It is gradually widely used in high-end equipment fields such as aerospace, automobile, national defense military industry and biomedicine. However, the heterogeneity and anisotropy of CFRP materials make the surface morphology of the workpiece very complex with processing defects, which seriously restricts the service life, service performance and safety reliability of CFRP structural parts. In view of the fact that specific cutting energy is an important index of machined surface quality, and that high-speed cutting technology is conducive to improving processing efficiency and controlling surface quality. Therefore, the source and the distribution of cutting specific energy are clarified considering carbon fiber distribution, cutting effect and edge effect, and the specific cutting energy prediction model of CFRP high-speed milling is established. The accuracy of the presented model is 91.19%. Then, the surface quality is quantitatively characterized by three-dimensional root mean square surface roughness and three-dimensional fractal dimension. According to the correlation analysis between the specific energy component and the surface quality, the specific energy comprehensive evaluation indexes SCEsq and SCEds for surface quality are defined. The surface quality optimization method based on specific energy is proposed. Finally, based on nonlinear regression analysis, the effects of milling parameters on SCEsq and SCEds are analyzed, and it is verified that high speed cutting is beneficial to reduce the machining defects of CF/PEEK.

Key words: CF/PEEK, high speed milling, specific cutting energy, surface quality, fiber distribution

CLC Number: