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Materials 2018, 11(1), 97; https://doi.org/10.3390/ma11010097

On Multi-Objective Based Constitutive Modelling Methodology and Numerical Validation in Small-Hole Drilling of Al6063/SiCp Composites

1
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
2
National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Peking University, Beijing 100871, China
*
Author to whom correspondence should be addressed.
Received: 15 November 2017 / Revised: 1 January 2018 / Accepted: 3 January 2018 / Published: 11 January 2018
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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.
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Keywords: multi-objective identification; constitutive modelling; varying weighting; measured noise; composites; drilling multi-objective identification; constitutive modelling; varying weighting; measured noise; composites; drilling
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Xiang, J.; Xie, L.; Gao, F.; Zhang, Y.; Yi, J.; Wang, T.; Pang, S.; Wang, X. On Multi-Objective Based Constitutive Modelling Methodology and Numerical Validation in Small-Hole Drilling of Al6063/SiCp Composites. Materials 2018, 11, 97.

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