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<p>In order to improve the casting quality of the engine block and reduce the casting cost, this paper takes the an A356 alloy engine block as the research object, takes the alloy pouring temperature, mold preheating temperature, filling time and holding pressure four process parameters as the influencing factors, and takes the solidification time and shrinkage volume as the evaluation objectives, and uses the response surface method(RSM) to design 29 sets of test schemes, and conducts multi-objective analysis based on NSGA-II genetic algorithm and satisfaction function. The results show that the optimized process parameters are as follows: alloy pouring temperature 680°C, mold preheating temperature 20°C, filling time 12s and holding pressure 50&#xa0;kPa. Compared with the initial process, the solidification time was shortened by 12.55% and the shrinkage volume was improved by 2.24% under the combination of optimized process parameters. After production verification, the casting molding quality is good and the mechanical properties to meet the requirements, which well verifies the rationality of the optimized process parameters, and the research can provide effective guidance for the actual production of engine blocks.</p>

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Multi-Objective Optimization of A356 Engine Block Casting Process Parameters Based on Response Surface Method and NSGA-II Genetic Algorithm

  • 期刊论文

  • 发表日期：

    2025年2月27日

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  • Wei Deng,
  • Zhongmo Song,
  • Jilin Lei,
  • Kun Luo,
  • Yong Zhang,
  • Mingjiang Yu

摘要

In order to improve the casting quality of the engine block and reduce the casting cost, this paper takes the an A356 alloy engine block as the research object, takes the alloy pouring temperature, mold preheating temperature, filling time and holding pressure four process parameters as the influencing factors, and takes the solidification time and shrinkage volume as the evaluation objectives, and uses the response surface method(RSM) to design 29 sets of test schemes, and conducts multi-objective analysis based on NSGA-II genetic algorithm and satisfaction function. The results show that the optimized process parameters are as follows: alloy pouring temperature 680°C, mold preheating temperature 20°C, filling time 12s and holding pressure 50 kPa. Compared with the initial process, the solidification time was shortened by 12.55% and the shrinkage volume was improved by 2.24% under the combination of optimized process parameters. After production verification, the casting molding quality is good and the mechanical properties to meet the requirements, which well verifies the rationality of the optimized process parameters, and the research can provide effective guidance for the actual production of engine blocks.