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On multi-objective based constitutive modelling methodology and numerical validation in small-hole drilling of Al6063/SiCp composites

  • Junfeng Xiang
  • , Lijing Xie*
  • , Feinong Gao
  • , Yu Zhang
  • , Jie Yi
  • , Tao Wang
  • , Siqin Pang
  • , Xibin Wang
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Peking University

Research output: Contribution to journalArticlepeer-review

Abstract

Discrepancies in capturing material behavior of some materials, such as Particulate Reinforced Metal Matrix Composites, by using conventional ad hoc strategy make the applicability of Johnson-Cook constitutive model challenged. Despites applicable efforts, its extended formalism with more fitting parameters would increase the difficulty in identifying constitutive parameters. A weighted multi-objective strategy for identifying any constitutive formalism is developed to predict mechanical behavior in static and dynamic loading conditions equally well. These varying weighting is based on the Gaussian-distributed noise evaluation of experimentally obtained stress-strain data in quasi-static or dynamic mode. This universal method can be used to determine fast and directly whether the constitutive formalism is suitable to describe the material constitutive behavior by measuring goodness-of-fit. A quantitative comparison of different fitting strategies on identifying Al6063/SiCp's material parameters is made in terms of performance evaluation including noise elimination, correlation, and reliability. Eventually, a three-dimensional (3D) FE model in small-hole drilling of Al6063/SiCp composites, using multi-objective identified constitutive formalism, is developed. Comparison with the experimental observations in thrust force, torque, and chip morphology provides valid evidence on the applicability of the developed multi-objective identification strategy in identifying constitutive parameters.

Original languageEnglish
Article number97
JournalMaterials
Volume11
Issue number1
DOIs
Publication statusPublished - 11 Jan 2018

Keywords

  • Composites
  • Constitutive modelling
  • Drilling
  • Measured noise
  • Multi-objective identification
  • Varying weighting

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