1) cutting of finishing cutting
精切代磨刀具
2) cutter of finishing turning
精车代磨刀具
3) modern cutting tools
现代切削刀具
1.
The modern cutting tools have become a key factor for promoting manufactory technology.
近几年来,在经济全球化背景下,我国的制造业获得了空前发展的机遇,而现代切削刀具成了提升制造业技术水平的关键因素之一,不断提高的切削加工要求和被加工材料的能级以及减少切削加工对环境污染等有力地推动了用于现代切削刀具涂层技术的发展。
4) tool wear
刀具磨损
1.
Experimental Investigation on Tool Wear in Green Cutting Difficult-cut-materials;
难加工材料绿色切削刀具磨损试验研究
2.
Study on Tool Wear and Cutting Force of Cemented Carbides in Milling Ti6Al4V;
硬质合金刀具铣削Ti6Al4V时刀具磨损及切削力研究
3.
3D feature extract method for tool wear based on grating projection;
基于光栅投影技术的刀具磨损三维特征提取方法
5) tools wear
刀具磨损
1.
Influence of technological parameters on tools wear in turning fluorophlogopite;
氟金云母陶瓷车削参数对刀具磨损的影响
2.
Research on On-line Monitoring System for Tools Wear;
刀具磨损在线监控系统研究
3.
A method combined with image manipulation is contrived to detect the project of wear, which aim at the shortage of inspection of conventional tools wear.
针对传统刀具磨损检测的缺点,设计了一套结合图像处理的方法来检测磨损的方案。
6) cutter wear
刀具磨损
1.
In order to decrease the cutter consume and the time loss of machine standing, to enhance the utilization of TBM, the abnormal cutter wear of TBM needs to be recognized in time.
TBM刀具磨损的预测和异常磨损识别方法的确定,对于保障TBM的安全掘进以及提高其利用率和经济性具有重要意义。
2.
Based on the characteristic analysis of acoustic emission(AE)signals and the advantages of wavelet packets decomposition theory in the nonsteady signal feature extraction,a method to judge the cutter wear state by means of the energy variable of AE signals is proposed.
基于对声发射(AE)信号特点的分析和小波包分解理论对不平稳信号特征提取的优势,提出一种利用AE信号的能量变化来监测刀具磨损状态的方法。
补充资料：磨刀雨
1.即磨刀水。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条