2018
DOI: 10.3390/ma11010097
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On Multi-Objective Based Constitutive Modelling Methodology and Numerical Validation in Small-Hole Drilling of Al6063/SiCp Composites

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… Show more

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Cited by 13 publications
(5 citation statements)
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References 37 publications
(41 reference statements)
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“…A multi-objective method for model parameters identification proposed in [ 34 ] was employed to find a feasible set of parameter estimates so that the formulated plasticity model by these parameters can capture the material behaviors in both quasi-static and dynamic loading modes equally well. Using multi-objective identification strategy, the obtained values of material parameters of the generalized Johnson-Cook plasticity model for Al6063/SiC p /65 composites are given in Table 3 .…”
Section: Resultsmentioning
confidence: 99%
“…A multi-objective method for model parameters identification proposed in [ 34 ] was employed to find a feasible set of parameter estimates so that the formulated plasticity model by these parameters can capture the material behaviors in both quasi-static and dynamic loading modes equally well. Using multi-objective identification strategy, the obtained values of material parameters of the generalized Johnson-Cook plasticity model for Al6063/SiC p /65 composites are given in Table 3 .…”
Section: Resultsmentioning
confidence: 99%
“…The most commonly used method to identify the J-C constants for metal is the linear regression strategy [23]. But in this paper, the multi-objective optimization fitting method proposed by Xiang is used for parameter fitting [9]. With this method, the data obtained from the quasi-static compression and SHPB compression tests can be used simultaneously, and the multi-variable 2000s It is noted that in the quasi-static stage the strain hardening effect is not significant and the flow stress changes very little with the increasing of plastic strain as shown in Figure 5a, so the reference strain rate for fitting the constitutive model is set to 10 −3 .…”
Section: Plastic Constitutive Model Fittingmentioning
confidence: 99%
“…In this case, the problems of fitting possibility and accuracy for a set of given data was discussed. Xiang [9,10] pointed out its applicability limitation and low accuracy and proposed a weighted multi-objective strategy for identifying material constitutive model parameters based on the Gaussian-distributed noise evaluation on the experimental data under different loading conditions. The fitting accuracy of the J-C model parameters is improved by this method and the 3D drilling simulations performed by using this set of J-C parameters is in good agreement with the tests.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, the strength–ductility trade-off of metallic materials was overcome by transforming the single FCC crystal phase to FCC-HCP (hexagonal close-packed) dual-phase [ 19 ]. Meanwhile, the particle reinforced composite is also a kind of hybrid design by embedding the ‘hard’ particles into ‘soft’ matrix to elevate the strength and fatigue resistance of the material [ 20 , 21 ]. The hybrid concept can also be applied in the micro-lattice materials.…”
Section: Introductionmentioning
confidence: 99%