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Multi-Objective Inverse Identification of Swift Flow Stress Parameters and Coulomb Friction Coefficient for AA6061 Aluminum Alloy Using Compression Testing
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DOI：10.1134/S1067821226600018.png)
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Abstract
En 中文
In this study, a multi-objective inverse identification framework is developed to simultaneously determine the material flow stress parameters and the friction condition for AA6061-T6 under cold compression. The proposed approach combines a single compression experiment with systematic finite element simulations organized through a Box-Behnken design, surrogate modeling of numerical responses, and Pareto-based multi-objective optimization using the NSGA-II algorithm. The inverse identification is based on force-time and geometric responses extracted from the compression test and corresponding simulations. Response surface models are constructed and subsequently employed as surrogate models in the multi-objective optimization procedure, enabling robust exploration of the admissible parameter space. The identified results demonstrate strong and stable convergence of the Swift hardening parameters for AA6061-T6. The strength coefficient K is identified within a narrow range of approximately 358.52-361.13 MPa, while the strain-hardening exponent n converges to a value close to 0.088. The Coulomb friction coefficient m consistently converges toward the lower bound of the investigated domain, reaching a unique value of approximately 0.05. This value is physically reasonable for lubricated cold compression of aluminum alloys and is interpreted as a representative friction level constrained by the experimental observability of the present compression-based inverse framework. The results confirm that reliable and physically consistent identification of both material hardening behavior and friction conditions can be achieved from a single compression test by combining finite element simulations, design of experiments, and Pareto-based multi-objective optimization.
Keywords:
AA6061-T6
cold compression
inverse identification
swift hardening model
Coulomb friction
NSGA-II
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0.9
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37
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