Assessing Coefficients of the Barlat Yield Criterion for Anisotropic Aluminum Alloy Sheets by Means of the Evolutionary Strategy

Jackiewicz, J.

doi:10.1080/10426910802679881

Cited by 10 publications

(4 citation statements)

References 9 publications

(11 reference statements)

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“…In materials science and engineering, similar ideas have been widely explored. For example, Evolutionary Strategy (ES) has been employed to assess the coefficients of the Barlat yield criterion for anisotropic alloy sheets [20] and Particle Swarm Optimisation (PSO) has been applied to the optimal design of the mechanical properties of alloy steels [21] (For more state of the art information about the applications of evolutionary algorithms and multi-objective optimisation techniques in the area of materials processing, refer to the following two review articles [22,6]). …”

Section: Experimental Results Of Modelling Residual Stressesmentioning

confidence: 99%

Modeling and Optimal Design of Machining-Induced Residual Stresses in Aluminium Alloys Using a Fast Hierarchical Multiobjective Optimization Algorithm

Zhang

Mahfouf

Yates

et al. 2011

Materials and Manufacturing Processes

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The residual stresses induced during shaping and machining play an important role in determining the integrity and durability of metal components. An important issue of producing safety critical components is to find the machining parameters that create compressive surface stresses or minimise tensile surface stresses. In this paper, a systematic data-driven fuzzy modelling methodology is proposed, which allows constructing transparent fuzzy models considering both accuracy and interpretability attributes of fuzzy systems. The new method employs a hierarchical optimisation structure to improve the modelling efficiency, where two learning mechanisms cooperate together: NSGA-II is used to improve the model's structure while the gradient descent method is used to optimise the numerical parameters. This hybrid approach is then successfully applied to the problem that concerns the prediction of machining induced residual stresses in aerospace aluminium alloys. Based on the developed reliable prediction models, NSGA-II is further applied to the multiobjective optimal design of aluminium alloys in a 'reverse-engineering' fashion. It is revealed that the optimal machining regimes to minimise the residual stress and the machining cost simultaneously can be successfully located.

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Section: Experimental Results Of Modelling Residual Stressesmentioning

confidence: 99%

Modeling and Optimal Design of Machining-Induced Residual Stresses in Aluminium Alloys Using a Fast Hierarchical Multiobjective Optimization Algorithm

Zhang

Mahfouf

Yates

et al. 2011

Materials and Manufacturing Processes

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“…(11) and (12) into Eqs. (9) and (10), the distributions of y , z ,¯ e , and¯ e are solved, which is the theoretical basis of numerical simulation used for air-bending forming of sheet metal.…”

Section: Basic Theory For Numerical Simulation Of Sheet Metal Air-benmentioning

confidence: 99%

“…As Hill [10] proposed, the Hill yield criterion, applied to describe the planar anisotropy of sheet metal, is fit for numerical simulation of steel sheet forming. The Barlat yield criterion is relatively more adaptive to finite element simulation of anisotropic aluminum alloy sheets [11,12]. Therefore, in this article, the air-bending forming of highstrength sheet metal should adopt the Hill yield criterion.…”

Section: Introductionmentioning

confidence: 99%

Multiple-Step Incremental Air-Bending Forming of High-Strength Sheet Metal Based on Simulation Analysis

2010

Materials and Manufacturing Processes

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The multiple-step incremental air-bending forming of sheet metal is an important and flexible manufacturing process. It is suitable for sheet parts with complex, curved faces. Most research on incremental air-bending forming are mainly based on experiments and explain the process through macroscopic metal deformation. Based on Hill's yielding criterion and exponential strain hardening law as well as plane strain conditions, an analytical model and ABAQUS finite element model (FEM) are proposed in this article for investigating the incremental air-bending forming process. Firstly, the multiple-step incremental air-bending forming processes on different bending tool parameters are simulated with the FEM to analyze the influences of the tool parameters on formed shape, air-bending forming force, and warpage deformation of the workpiece. Then, the multiple-step incremental air-bending forming process of a semi-ellipse-shaped workpiece with 11 535 mm × 574 mm × 453 mm is simulated with FEM established by the optimum tool parameters as well as the optimal process parameters. Manifested by the experiment for incremental air-bending forming of this workpiece, the numerical simulation method proposed yields satisfactory performance in tool parameters optimization and workpiece forming.

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“…As the Reference [3] proposes, Hill yield criterion, applied to describe the planar anisotropy of sheet metal, is fit for numerical simulation of steel sheet forming. While Barlat yield criterion is relatively more adaptive to finite element simulation of Anisotropic aluminum alloy sheets [4][5]. Therefore, in this paper, the air-bending forming of high-strength sheet metal should adopt Hill yield criterion.…”

Section: Forming Simulation 31 Simulation Theoriesmentioning

confidence: 99%

Numerical Simulation of Springback in Air-Bending Forming of Sheet Metal

2011

AMM

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Assessing Coefficients of the Barlat Yield Criterion for Anisotropic Aluminum Alloy Sheets by Means of the Evolutionary Strategy

Cited by 10 publications

References 9 publications

Modeling and Optimal Design of Machining-Induced Residual Stresses in Aluminium Alloys Using a Fast Hierarchical Multiobjective Optimization Algorithm

Modeling and Optimal Design of Machining-Induced Residual Stresses in Aluminium Alloys Using a Fast Hierarchical Multiobjective Optimization Algorithm

Multiple-Step Incremental Air-Bending Forming of High-Strength Sheet Metal Based on Simulation Analysis

Numerical Simulation of Springback in Air-Bending Forming of Sheet Metal

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