摘要
基于响应面法(RSM),通过一系列的实验建立了薄壁蜡模壁厚方向的收缩率与压蜡参数之间的数学模型,并对模型的合理性与充分性进行了方差分析,对压蜡过程中工艺参数对尺寸收缩率的影响进行了敏感性分析.为了减小收缩率,基于遗传算法(GA)对工艺参数进行了全局优化.
A response surface methodology（RSM） model was built to describe the relationship between the shrinkage in the thickness direction of the thin walled wax part and injection parameters through experiments. The rationality and adequacy of the model were checked via analysis of variation（ANOVA）. Be sides, a sensitivity analysis for injection parameters on the dimensional shrinkage variation was conducted. Additionally, in order to reduce the shrinkage, the optimal injection conditions were also obtained by calculating the desirability and genetic algorithm（GA） approach.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2015年第9期1380-1386,共7页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金委员会创新研究群体科学基金(51121063)
教育部高等学校学科创新引智计划(B06012)
国家自然科学基金(51175340)项目资助
关键词
压蜡
薄壁蜡模
响应面法
遗传算法
收缩率
熔模铸造
wax injection
thin-walled wax part
response surface methodology （RSM）
genetic algorit bm （GA）
shrinkage
investment casting
