摘要
为解决实际加工过程中刀具可靠性数据获取困难问题,以高温烧结的金刚石刀具加工非金属脆硬材料过程为研究对象,从退化量的角度对刀具的可靠性进行评估,结合统计学中的贝叶斯理论和加工条件,建立了一种磨损量数据服从正态分布的可靠度分析模型,对模型中的参数采用最小二乘法进行估计计算,并通过实验采集转速为8500 r/min,进给速度5 mm/min下的2把刀具的磨损量数据,验证了所建立的可靠度分析模型具有很高的准确率,结果表明通过这种方法可以准确地估计刀具在每个时刻的可靠度,所得到的可靠度能够反映刀具钻削过程中实际的工作状态,为加工过程中是否需要换刀提供理论依据。
This research aims to reduce the diffifulty in reliability data acquisition of cutting tool in actual processing.We used the high temperature sintering process of diamond tool machining non-metallic rigid material as the research object,evaluated the reliability of the cutting tool from the angle of the degradation of quantity.Based on the Bayesian theory and processing conditions in the statistics,we set up a reliability analysis model in which the wear volume data show normal distribution.The parameters in the model were obtained by using the least squares estimate and the acquisition speed through the experiment of 8500 r/min,the feed speed of 5 mm/min under 2 data of the cutting tool wear.It is verified that the established reliability analysis model has a high accuracy rate.The results show that this method can accurately estimate the reliability of the tool at each moment,and the obtained reliability can reflect the actual working state of the tool in the drilling process,providing a theoretical basis for whether to change the tool in the machining process.
作者
崔昌
石伟伟
胡珊珊
覃梦玲
CUI Chang;SHI Wei-wei;HU Shan-shan;QIN Meng-ling(School of Mechanical Engineering, Guangxi University, Nanning 530004, China;Guangxi Science and Technology Information Network Center, Nanning 530022, China)
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2020年第6期1378-1385,共8页
Journal of Guangxi University（Natural Science Edition）
基金
国家自然科学基金资助项目(51965004)。
关键词
刀具
碳化硅陶瓷
贝叶斯理论
可靠度
cutting tool
silicon carbide ceramics
Bayesian theory
reliability
