镁铝合金车轮胶栓复合连接稳健性优化设计*

doi:10.19562/j.chinasae.qcgc.2020.04.018

Abstract

Abstract: This paper proposes a multi-objective deterministic and robust optimization design method for hybrid bolted/bonded connection of magnesium-aluminum alloy assembled wheel. Firstly, the finite element model of the magnesium-aluminum alloy assembled wheel with bolt connection is established and the bending fatigue life simulation is conducted, and then the validity of the simulation model is verified by comparing the fatigue test results. Subsequently, the elasto-plastic constitutive model of structural adhesives is established, and the stress-strain curves and shear strengths are obtained through experiments. Finally, the thickness and type of adhesive layer, pretension force of bolt, hole diameter of bolt are selected as the design variables and the parametric simulation model is established for wheel hybrid bolted/bonded connection. The maximum tensile/shear stress of the structural adhesive and fatigue life of the connecting bolts are identified as the optimization target, the Elitist non-dominated sorting genetic algorithm (NSGA-II) and micro-archive genetic algorithm (AMGA) are respectively adopted to establish the multi-objective optimization and 6σ robust optimization design of the wheel with hybrid bolted/bonded connection on the ISIGHT optimization platform. The reliability of the wheel connection is further improved after the robust optimization

Key words: assembled wheel, hybrid bolted-bonded connection, fatigue analysis, multi-objective optimization, robust optimization

Wang Dengfeng, Xu Wenchao. Robust Optimization for Hybrid (Bolted/Bonded) Connection ofMagnesium-Aluminum Alloy Assembled Wheel[J].Automotive Engineering, 2020, 42(4): 545-551.

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Robust Optimization for Hybrid (Bolted/Bonded) Connection ofMagnesium-Aluminum Alloy Assembled Wheel

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