摘要
为了保证刀具寿命的同时尽可能地提高加工效率,对切削参数进行优化至关重要.因此,建立了车削过程中的刀具磨损模型,可用于预测多种切削条件下任意时刻的刀具磨损量,从而推导出刀具寿命模型.考虑不确定性参数对车削加工的影响,建立了基于可靠性的车削优化模型,并采用序列优化与可靠性评估方法对优化模型进行求解以获得最优切削参数.最后,通过实例验证了该方法在高温镍基合金GH4169车削参数优化中的优势和可行性.
It is critical to optimize the cutting parameters in order to increase the machining efficiency as much as possible while ensuring tool life.Therefore,a model of tool wear in the turning process is established to predict tool wear at any time under various cutting conditions.Thereby,a model of tool life is derived.Considering the influence of uncertain parameters on turning processing,a reliability-based optimization model of turning is established,and the optimization model is solved by the sequential optimization and reliability assessment(SORA)method to obtain the optimal cutting parameters.Finally,an example verifies the advantage and feasibility of this method in the parameter optimization of turning nickel-based superalloy GH4169.
作者
黄贤振
孙良仕
丁鹏飞
朱会彬
HUANG Xian-zhen;SUN Liang-shi;DING Peng-fei;ZHU Hui-bin(School of Mechanical Engineering&Automation,Northeastern University,Shenyang 110819,China)
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2022年第5期696-702,共7页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(51975110)
“兴辽英才”计划项目(XLYC1907171)
中央高校基本科研业务费专项资金资助项目(N2003005,N21003005).
关键词
车削加工
GH4169
刀具磨损
序列优化
可靠性评估
可靠性优化
turning process
GH4169
tool wear
sequential optimization
reliability assessment(SORA)
reliability-based optimization
