摘要
为实现TC21钛合金数控车削加工表面粗糙度达标和车削温度可控,利用中心复合试验法设计试验方案,并对试验结果进行极差分析和加工机理分析,以明确车削参数对加工结果的影响规律。基于响应面法建立表面粗糙度和车削温度的单目标预测模型,并通过统计学分析验证预测模型的精度。运用NSGA-Ⅱ遗传算法计算多目标最优车削参数,经实际加工对比验证得出:利用多目标最优车削参数加工所得的表面粗糙度和车削温度与预测值相符,且均满足实际工程要求。
In order to meet the requirements of the control of surface roughness and turning temperature of TC21 titanium alloy in actual CNC turning,the center composite method is used to design the test scheme,the range analysis and processing mechanism analysis is carried out to investigate the effect of turning parameters on the machining results.A single-target prediction model of surface roughness and turning temperature is established based on the response surface method,and the accuracy of the prediction model is verified by statistical analysis.The multi-objective optimal turning parameters are calculated based on NSGA-Ⅱgenetic algorithm,and the actual machining comparison and verification show that actual values and predicted values of the surface roughness and turning temperature are close,and satisfy the actual engineering requirements.
作者
平艳玲
孙捷夫
Ping Yanling;Sun Jiefu
出处
《工具技术》
北大核心
2023年第10期109-113,共5页
Tool Engineering
关键词
TC21钛合金
数控车削
表面粗糙度
车削温度
多目标优化
TC21 titanium alloy
CNC turning
surface roughness
turning temperature
multi-objective optimization