The fundamental research and industry, trials of the third generation automobile steel QP980 were introduced in this paper, including chemical ingredient, mechanical properties, microstructure, forming limit and basic...The fundamental research and industry, trials of the third generation automobile steel QP980 were introduced in this paper, including chemical ingredient, mechanical properties, microstructure, forming limit and basic perform- ance parameters. The application of QP steel of the B-pillar was researched, and the QP980, DP600 and hot forming steel were compared in the aspect of formability, safety and cost. The resuhs showed that the QP980 replacing DP600 steel single piece carl reduce the weight by 2.4 kg. The security and performance is basically the same as that of hot forming steel using 22MnB5, and the cost is reduced by 30 %.展开更多
Optimization of an automotive body structure faces the difficulty of having too many design variables and a too large design search space. A simplified model of body-in-prime(BIP) can solve this difficulty by reducing...Optimization of an automotive body structure faces the difficulty of having too many design variables and a too large design search space. A simplified model of body-in-prime(BIP) can solve this difficulty by reducing the number of design variables. In this study, to achieve lighter weight and higher stiffness, the simplified model of BIP was developed and combined with an optimization procedure;consequently, optimal designs of automotive body B-pillar were produced. B-pillar was divided into four quarters and each quarter was modelled by one simplified beam. In the optimization procedure, depth, width, and thickness of the simplified beams were considered as the design variables.Weight, bending and torsional stiffness were also considered as objective functions. The optimization procedure is composed of six stages: designing the experiments, calculating grey relational grade, calculating signal-to noise ratio,finding an optimum design using Taguchi grey relational analysis, performing sensitivity analysis using analysis of variance(ANOVA) and performing non-dominated sorting and multi-criteria decision making. The results show that the width of lower B-pillar has the highest effect(about 55%) and the obtained optimum design point could reduce the weight of B-pillar by about 40% without reducing the BIP stiffness by more than 1.47%.展开更多
文摘The fundamental research and industry, trials of the third generation automobile steel QP980 were introduced in this paper, including chemical ingredient, mechanical properties, microstructure, forming limit and basic perform- ance parameters. The application of QP steel of the B-pillar was researched, and the QP980, DP600 and hot forming steel were compared in the aspect of formability, safety and cost. The resuhs showed that the QP980 replacing DP600 steel single piece carl reduce the weight by 2.4 kg. The security and performance is basically the same as that of hot forming steel using 22MnB5, and the cost is reduced by 30 %.
文摘Optimization of an automotive body structure faces the difficulty of having too many design variables and a too large design search space. A simplified model of body-in-prime(BIP) can solve this difficulty by reducing the number of design variables. In this study, to achieve lighter weight and higher stiffness, the simplified model of BIP was developed and combined with an optimization procedure;consequently, optimal designs of automotive body B-pillar were produced. B-pillar was divided into four quarters and each quarter was modelled by one simplified beam. In the optimization procedure, depth, width, and thickness of the simplified beams were considered as the design variables.Weight, bending and torsional stiffness were also considered as objective functions. The optimization procedure is composed of six stages: designing the experiments, calculating grey relational grade, calculating signal-to noise ratio,finding an optimum design using Taguchi grey relational analysis, performing sensitivity analysis using analysis of variance(ANOVA) and performing non-dominated sorting and multi-criteria decision making. The results show that the width of lower B-pillar has the highest effect(about 55%) and the obtained optimum design point could reduce the weight of B-pillar by about 40% without reducing the BIP stiffness by more than 1.47%.
