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Vol. 6 (2019)

Efficient Selection Method for Mass Scaling Factor in 3D Microscopic Cutting Simulation of CFRP

July 17, 2019


3D microscopic cutting simulation of CFRP is very important for revealing material removal mechanism and damage suppression, wherein mass scaling is usually adopted for solving the problem of extremely low calculating efficiency. For the simulation with very low cutting speed, a quasi-static criterion is usually adopted for an appropriate mass scaling factor. However, to get closer to real machining processes, there is tendency of simulation with higher cutting speed considering more complicated factors, and the selection of mass scaling factor in this situation is difficult and computationally intensive. To solve this problem, this study aims to propose an efficient method of appropriately selecting mass scaling factor, which is upon the kinetic-to-internal energy ratio in the beginning stage of simulation. Through direct relationship between kinetic energy and cutting speed, the selection method applies under different cutting speeds; with the focus on the beginning stage of calculation, the proposed method requires little calculating work. By verification, such advantages are clearly presented with obviously improved calculating efficiency and limited error. What’s more, a set of empirical values of mass scaling factor suitable for different cutting speeds are provided for reference. The findings of this study could make great contributions in facilitating the development of 3D microscopic cutting simulation method of CFRP.


  1. Mkaddem A, Demirci I and Mansori ME. A micro-macro combined approach using FEM for modelling of machining of FRP composites: Cutting forces analysis. Compos Sci Technol 2008; 68: 3123-3127.
  2. Pérez MA, Oller S, Felippa CA, et al. Micro-mechanical approach for the vibration analysis of CFRP laminates under impact-induced damage. Composites Part B 2015; 83: 306- 316.
  3. Phadnis VA, Makhdum F, Roy A, et al. Drilling in carbon/epoxy composites: Experimental investigations and finite element implementation. Composites Part A 2013; 47: 41-51.
  4. Iliescu D, Gehin D, Iordanoff I, et al. A discrete element method for the simulation of CFRP cutting. Compos Sci Technol 2010; 70: 73-80.
  5. Isbilir O and Ghassemieh E. Delamination and wear in drilling of carbon-fiber reinforced plastic composites using multilayer TiAlN/TiN PVD-coated tungsten carbide tools. J Reinf Plast Compos 2012; 31: 717-727.
  6. Koplev A, Lystrup A and Vorm T. The cutting process, chips, and cutting forces in machining CFRP, Composites 1983, 14: 371-376.
  7. Wang F, Wang X, Yang R, et al. Research on the carbon fibre-reinforced plastic (CFRP) cutting mechanism using macroscopic and microscopic numerical simulations. J Reinf Plast Compos 2016; 36: 555-562.
  8. Calzada KA, Kapoor SG, DeVor RE, et al. Modeling and interpretation of fiber orientation-based failure mechanisms in machining of carbon fiber-reinforced polymer composites. J Manuf Processes 2012; 14: 141-149.
  9. Santiuste C, Miguélez H and Soldani X. Out-of-plane failure mechanisms in LFRP composite cutting. Compos Struct 2011; 93: 2706-2713.
  10. Cheng H, Gao J, Kafka OL, et al. A micro-scale cutting model for UD CFRP composites with thermo-mechanical coupling. Compos Sci Technol 2017; 153: 18-31.
  11. Wang L and Long H. Investigation of material deformation in multi-pass conventional metal spinning. Mater Des 2011; 32: 2891-2899.
  12. Zhu YX, Liu YL, Yang H, et al. Improvement of the accuracy and the computational efficiency of the spring back prediction model for the rotary-draw bending of rectangular H96 tube. Int J Mech Sci 2013; 66: 224-232.
  13. Kim J, Kang S and Kang B. A comparative study of implicit and explicit FEM for the wrinkling prediction in the hydroforming process. Int J Adv Manuf Technol 2003; 22: 547-552.
  14. Rao GVG, Mahajan P and Bhatnagar N. Machining of UDGFRP composites chip formation mechanism. Compos Sci Technol 2007; 67: 2271-2281.
  15. Agarwal H and Gururaja S. Modelling of Orthogonal Cutting of Idealized FRP Composites. In: ASME conference on advanced manufacturing, Quebec, Canada, 14 November-20 November 2014, paper no. IMECE2014-37631, pp.V02AT02A048. New York: ASME.
  16. Chung WJ, Cho JW and Belytschko T. On the dynamic effects of explicit FEM in sheet metal forming analysis. Eng Computation 1998; 15: 750-776.
  17. ABAQUS analysis user's manual, ABAQUS Inc, 2016.
  18. Bai X, Bessa MA, Melro AR, et al. High-fidelity micro-scale modeling of the thermo-visco-plastic behavior of carbon fiber polymer matrix composites. Compos Struct 2015; 134: 132- 141.
  19. Rao GVG, Mahajan P and Bhatnagar N. Micro-mechanical modeling of machining of FRP composites - Cutting force analysis. Compos Sci Technol 2007; 67: 579-593.
  20. Dandekar CR and Shin YC. Modeling of machining of composite materials: A review. Int J Mach. Tools Manuf 2012; 57: 102-121.
  21. Abena A, Soo SL and Essa KA. Finite element simulation for orthogonal cutting of UD-CFRP incorporating a novel fibrematrix interface model. Procedia CIRP 2015; 31: 539-544.
  22. Gao C, Xiao J, Xu J, et al. Factor analysis of machining parameters of fiber-reinforced polymer composites based on finite element simulation with experimental investigation. Int J Adv Manuf Technol 2016; 83: 1113-1125.
  23. Xu W, Zhang L and Wu Y. Effect of tool vibration on chip formation and cutting forces in the machining of fiberreinforced polymer composites. Mach Sci Technol 2016; 20: 312-329.