GH4169高温合金切削力建模及参数优化  

Cutting force modeling and parameter optimization of superalloy GH4169

作　　者：刘旭勤 陶亮 LIU Xuqin;TAO Liang

机构地区：[1]贵州理工学院工程训练中心,贵州贵阳550003 [2]贵州理工学院机械工程学院,贵州贵阳550003

出　　处：《现代机械》2024年第5期87-90,共4页Modern Machinery

基　　金：贵州省科技计划项目资助项目(黔科合基础〔2020〕1Y236)。

摘　　要：为降低高温合金车削加工中的切削力,获得最优切削用量,以GH4169为研究对象,采用响应面法设计了三因素三水平干车削试验,基于方差分析方法分析了主切削力测量值,建立了主切削力数学预测模型,利用遗传算法优化了切削用量,最后通过试验验证了切削用量优化值。结果表明:背吃刀量和进给量对主切削力的影响高度显著;主切削力数学预测模型平均预测误差为7.1%,在合理范围内;优化后的主切削力相对于初始试验中的最小主切削力下降了14.5%。To reduce the cutting force during the processing of superalloy and obtain the optimal cutting parameters,superalloy GH4169 was taken as the research object,and response surface method(RSM)was employed to design the cutting test with three factors and three levels.Then analysis of variance(ANOVA)was used to analyze the main cutting force,and a mathematical prediction model of the main cutting force was established.Based on the prediction model,the cutting parameters were optimized by genetic algorithm(GA).Finally,the optimal cutting parameters were verified by experiment.The results showed that the feed rate and cutting depth had significant influence on the main cutting force.The average prediction error of the prediction model was 7.1%,which was reasonable.The optimized cutting force decreased by 14.5%compared with the minimum force observed in the initial test.

关 键 词：切削力 响应面法 遗传算法 高温合金 参数优化 

分 类 号：TG501.1[金属学及工艺—金属切削加工及机床]