Optimization of an aluminum alloy anti-collision side beam hot stamping process using a multi-objective genetic algorithm

• Autorzy: Zhou J. , Wang B. , Lin J. , Fu L.
• Języki publikacji: EN

Abstrakty

EN

The process parameters of aluminum alloy hot stamping are essential for product forming quality. In the case of an anti-collision side beam inside car doors, the finite-element model of aluminum alloy hot stamping is set up, and the forming quality is investigated under an ordinary process condition. The blank hold force (BHF) has a significant impact on the forming quality in hot stamping. Using the Latin hypercube method to sample the simulation data points and the finite-element (FE) model to calculate the forming quality indices of the data points according to the response value of the indices, the quadratic response surfaces between the process parameter inputs and the forming quality indices are initialized. Using the multi-objective genetic algorithm NSGA-II (non-dominated sorting genetic algorithm) to optimize the responses of the process parameters, the Pareto solutions corresponding to combinations of the blank hold force and stamping speed are obtained. Finally, based on the optimal process parameters, stamping tests are carried out. Compared with the results of the stamping trial and numerical simulation, it is demonstrated that the finite-element model can predict forming defects and be consistent with the actual condition and that the optimization procedure proposed in the paper is feasible.

Słowa kluczowe

EN

aluminum alloy hot stamping; process parameters; response surface model; multiobjective genetic algorithm

PL

stop aluminium; parametry procesu; model powierzchniowy; algorytm genetyczny

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2013
• Tom: Vol. 13, no. 3
• Strony: 401--411
• Opis fizyczny: Bibliogr. 17 poz., rys., tab., wykr.

Twórcy

autor

Zhou J.

• School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

autor

Wang B.

• School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

autor

Lin J.

• Department of Mechanical Engineering, Imperial College, London SW 72 AZ, UK

autor

Fu L.

• School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Bibliografia

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