硬质合金激光加热辅助切削刀具磨损预测  

Prediction of Tool Wear in Laser Assisted Machining Cemented Carbide

作　　者：张昌娟[1] 焦锋[1] 赵波[1] 牛赢[1] 

机构地区：[1]河南理工大学机械与动力工程学院,河南焦作454000

出　　处：《机械科学与技术》2016年第12期1877-1881,共5页Mechanical Science and Technology for Aerospace Engineering

基　　金：国家自然科学基金项目(51075127);河南省机械制造及其自动化省级重点学科项目资助

摘　　要：为了准确判断和预测硬质合金激光加热辅助切削过程中刀具的磨损状态,通过常规切削及激光加热辅助切削条件下的刀具后刀面磨损对比试验,研究了刀具的磨损形态及磨损规律。根据试验得到的刀具后刀面磨损量,基于灰色-马尔可夫理论建立了硬质合金激光加热辅助切削刀具磨损量灰色预测模型及灰色-马尔可夫预测模型,并对特定切削条件下的刀具磨损量进行了预测。结果表明,两种模型预测值与实测值误差较小,特别是灰色-马尔可夫模型拟合精度更高,结果更可靠,能更好地满足工程需要。In order to judge and predict the tool wear in laser assisted machining cemented carbide, the contrast experiments of tool flank wear in conventional machining and laser assisted maching were conducted in order to study the tool wear mechanism. Based on the grey-Markov theory, the grey prediction model and grey-Markov prediction model for tool flank wear in laser assisted machining cemented carbide were established after analyzing the data collected through experiments, and the tool wear values were predicted based on those two models. The results showed that the predicted values are very close to the measured values, especially the fitting precision of data obtained with the grey-Markov prediction model is better and its predicted results is more reliable, which can better meet the requirements of practical engineering.

关 键 词：硬质合金 激光加热辅助切削 磨损预测 灰色模型 灰色-马尔可夫模型 

分 类 号：TG712[金属学及工艺—刀具与模具]