Ma H.-B.,Shaanxi Fast Auto Drive Group Co. |
Chuan H.-J.,Shaanxi Fast Auto Drive Engineering Research Institute
Zhuzao/Foundry | Year: 2015
Through the contrast between before and after structure optimization of back cover, this paper analyzes the product's internal quality and its static torsion of assembly. Different test methods such as X-ray cutting sampling and static torsion test have been applied to the studies on quality of products. The results show that the optimized performance of back cover has a greater improvement. The weight of products is reduced 0.8 kg. And it is able to economize materials. The microstructure of the product is compact, uniform, the die casting defects such as porosity and shrinkage cavity were relieved. The static torsion performance is increased from 5 941 N·m to 6866 N·m. So the optimized back cover can completely meet the requirement of commercial auto transmission. © 2015, Chinese Mechanical Engineering Society. All right reserved.
Chuan H.-J.,Shaanxi Fast Auto Drive Engineering Research Institute |
Liu G.-F.,Shaanxi Fast Auto Drive Engineering Research Institute |
Yang X.-Q.,Shaanxi Fast Auto Drive Engineering Research Institute |
Wan X.-M.,Shaanxi Fast Auto Drive Engineering Research Institute
Zhuzao/Foundry | Year: 2015
Based on the orthogonal experiment, the technology parameters of aluminum alloy steering shell were simulated and analyzed by using of with the MAGMA casting simulation software. The optimal process parameters were chosen, namely, the injection speed is 3.0 m/s, the speed conversion displacement is 500 mm, the mold temperature is 180℃. The process parameters of simulation were rationality through production test. The reliability of numerical simulation was proved. ©, 2015, Chinese Mechanical Engineering Society. All right reserved.
Yin A.,Hefei University of Technology |
Zhao H.,Hefei University of Technology |
Yang Y.,Hefei University of Technology |
Feng R.,Shaanxi Fast Auto Drive Engineering Research Institute
Zhongguo Jixie Gongcheng/China Mechanical Engineering | Year: 2013
Based on the characteristics analyses of a HEB of super capacitor, a multi-objective parameter optimization for HEB powertrain was designed. The multi-objective optimization model for HEB powertrain was established via CRUISE. Taking fuel consumption and acceleration time of HEB as targets of the optimization, the elitist non-dominated sorting genetic algorithm(NSGA-II) was applied to optimize the powertrain parameters of HEB by a optimization software iSIGHT. The performance simulations were carried on an instance HEB, the results show that the fuel consumption is reduced by 7.8% and acceleration time is reduced by 6.5%, compared with the road testing of the instance HEB.