2019
DOI: 10.1115/1.4042382
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The Use of Genetic Algorithms to Calibrate Johnson–Cook Strength and Failure Parameters of AISI/SAE 1018 Steel

Abstract: Johnson–Cook (JC) strength and failure models have been widely used in finite element analysis (FEA) to solve a variety of thermo-mechanical problems. There are many techniques to determine the required JC parameters; however, a best practice to obtain the most reliable JC parameters has not yet been proposed. In this paper, a genetic-algorithm-based optimization strategy is proposed to calibrate the JC strength and failure model parameters of AISI/SAE 1018 steel. Experimental data were obtained from tensile t… Show more

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Cited by 20 publications
(6 citation statements)
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“…To model the workpiece material response to the process, the Johnson-Cook plasticity and damage model was chosen for both cases [17]. Material constants for AISI 1018 steel were adopted from literature [18]. In the Lagrangian model, when an element reaches 100% damage, it is deleted from the simulation.…”
Section: Methodsmentioning
confidence: 99%
“…To model the workpiece material response to the process, the Johnson-Cook plasticity and damage model was chosen for both cases [17]. Material constants for AISI 1018 steel were adopted from literature [18]. In the Lagrangian model, when an element reaches 100% damage, it is deleted from the simulation.…”
Section: Methodsmentioning
confidence: 99%
“…The specimens were modelled as 3D-deformable models and impactor was modelled as discrete rigid model, Figures 5a. Similarly base and weld metal model in finite element analysis, Table 3 [20].…”
Section: Finite Element Analysismentioning
confidence: 99%
“…Similarly, the prepared model for weld metal, Figure 5b. The material properties assigned for carbon steel 1018 base and weld metal model in finite element analysis, Table 3 [20].…”
Section: Finite Element Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…n is hardening exponent, and m is thermal softening exponent. The material properties used for the steel are listed in Table 3 [31]. Table 3.…”
Section: Numerical Simulation Modelmentioning
confidence: 99%