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作 者:李志龙[1] 左干清[1] 张鹏程[1] LI Zhi-long;ZUO Gan-qing;ZHANG Peng-cheng(Guangzhou Bureau of China Southem Power Grid Ultra-High Voltage Transmission Co.,Ltd.,Guangzhou 510663,China)
机构地区:[1]中国南方电网有限责任公司超高压输电公司广州局,广东广州510663
出 处:《塑料科技》2021年第4期83-85,共3页Plastics Science and Technology
基 金:中国南方电网超高压输电公司科技项目(CGYKJXM20170178)。
摘 要:以某智能巡检机器人的监视装置基座为实例,以模具表面温度、熔体温度和充填压力为分析变量,塑件的体积收缩率为响应指标,设计了响应面试验,构建了响应面分析模型。利用Design Expert进行了方差与响应面分析,并利用Moldflow软件验证优化分析的可靠性。结果表明:相比初始工艺参数,体积收缩率降低14.76%,有效避免了塑件体积收缩率过大的问题,提升了监视器基座成型的质量。Taking the monitoring device base of an intelligent inspection robot as an example,taking mold surface temperature,melt temperature and filling pressure as analysis variables,the volume shrinkage rate of plastic parts is the response index,a response surface test is designed,and a response surface analysis is constructed model.Use Design Expert to perform variance and response surface analysis,and use Moldflow software to verify the reliability of the optimization analysis.The results show that:Compared with the initial process parameters,the volume shrinkage rate is reduced by 14.76%,which effectively avoids the problem of excessive volume shrinkage of plastic parts,and improves the quality of the monitor base molding.
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