| 基于RSM和GA的涡轮熔模铸造工艺优化 |
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| 引用本文： | 蒋梦麒,何博,姚定烨. 基于RSM和GA的涡轮熔模铸造工艺优化[J]. 模具工业, 2021, 47(3): 50-56 |
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| 作者姓名： | 蒋梦麒 何博 姚定烨 |
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| 作者单位： | 上海工程技术大学 材料工程学院,上海 201600;上海工程技术大学 高温合金精密成型研究中心,上海 201600;上海工程技术大学 材料工程学院,上海 201600;上海工程技术大学 高温合金精密成型研究中心,上海 201600;上海工程技术大学 材料工程学院,上海 201600;上海工程技术大学 高温合金精密成型研究中心,上海 201600 |
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| 基金项目： | 上海市科委“创新行动计划”基础研究项目(17JC1400600;17JC1400603)。 |
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| 摘 要： | 以涡轮熔模铸件浇注系统设计为例,基于BOX-BehnKen设计响应面试验(RSM)建立了二阶响应面模型,探究了浇注系统半径、高度与浇注温度对铸件内部缺陷的体积和缺陷与铸件表面之间的距离的影响,并利用遗传算法(GA)优化工艺参数。数值模拟分析结果表明,该优化方案可以在得到无缺陷涡轮铸件的同时达到80.53%的工艺出品率,为熔模铸造浇注系统的设计优化提供思路。
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| 关 键 词： | 熔模铸造 浇注系统 设计优化 工艺出品率 数值模拟 RSM GA |
Optimization of investment casting process for turbine based on RSM and GA |
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| JIANG Meng-qi,HE Bo,YAO Ding-ye. Optimization of investment casting process for turbine based on RSM and GA[J]. Die & Mould Industry, 2021, 47(3): 50-56 |
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| Authors: | JIANG Meng-qi HE Bo YAO Ding-ye |
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| Affiliation: | (School of Materials Engineering,Shanghai University of Engineering Science,Shanghai 201600,China;Research Center of High-temperature Alloy Precision Forming,Shanghai University of Engineering Science,Shanghai 201600,China) |
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| Abstract: | Taking the design of the gating system for turbine investment casting as an example,based on the BOX-BehnKen design response surface test,a second order response surface model was established to explore the influence of the radius of gating system,the height of the gating sys?tem,and the pouring temperature on the volume of defects in the casting and the distance of de?fects with the casting.Genetic Algorithm(GA)was used to optimize process parameters.Numeri?cal simulation analysis results showed that the optimization scheme could achieve 80.53%casting yield while obtaining a defect-free casting,which provided ideas for the optimization of investment casting gating system design. |
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| Keywords: | investment casting gating system design optimization casting yield numerical simu?lation RSM GA |
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