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机构地区:[1]浙江大学控制科学与工程学系工业控制技术国家重点实验室,杭州310027
出 处:《上海应用技术学院学报(自然科学版)》2015年第2期185-188,194,共5页Journal of Shanghai Institute of Technology: Natural Science
基 金:国家自然科学基金资助项目(61473254;61134001);国家高技术研究发展计划资助项目(2012AA06A404)
摘 要:工业实际应用中,铣刀常用于铣床对工件进行铣削加工.铣刀在工作过程中常受铣削条件或环境因素的影响,从而导致刀面发生磨损,影响其切削性能.本文选取刀面磨损量为铣刀的退化特征量,采用Gamma过程来描述铣刀的退化过程,建立了不同切削材料下受切削深度和走刀量影响的铣刀磨损的多应力退化模型;利用传统的多应力加速退化模型来描述切削深度和走刀量对退化的影响,利用极大似然估计方法估计出模型参数,进而比较了不同切削材料下双应力对退化过程的影响.In the practical application of industry, mills are often used to mill the workpieces on the machines. A mill's wear will be inevitably affected by milling conditions or environmental factors, leading to the abrasion of the surface of mill and its performance. Choosing the flank wear abrasion losses as its degradation characteristic, and utilizing the Gamma process to describe the degradation processes of mills, a multiple stresses degradation model for mills which included the effects from the depth of cut, the feed and the material was established. The maximum likelihood estimation method was used to estimate the model parameters. Finally, the effects of different stresses on the wearing processes of mills were compared.
分 类 号:TG714[金属学及工艺—刀具与模具]
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