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1)  relief grinding cutter
铲磨刀具
1.
The practical CAD technology to manufacture high accuracy relief grinding cutters is put forward.
提出了方便快捷地加工高精度铲磨刀具的CAD实用工艺 ,给出了改善刀具切削性能和增加重磨极限(寿命 )的方法及计算实例。
2)  relief grinding lip surface
铲磨后刀面
3)  hob relieving grinding machine
滚刀铲磨床
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:四种具足法──在家人四种具足法
【四种具足法──在家人四种具足法】
  ﹝出杂阿含经﹞
  [一、信具足],谓在家之人,于如来所,起敬信心,闻胜妙法,心开意解,不生疑谤,信根坚固,是名信具足。
  [二、戒具足],谓在家之人,起净信心,受佛禁戒,不杀不盗不邪淫不妄语不饮酒,持此五戒,一无毁犯,是名戒具足。
  [三、施具足],谓在家之人,受前戒法,能于一切所有之财,不悭不惜,施济贫乏,修此舍行,是名施具足。
  [四、慧具足],谓在家之人,既受戒行施,当以智慧,观察此身虚假不实,由贪嗔痴起诸烦恼,招集无量生死之苦,能修善道,证涅槃乐,是名慧具足。(梵语涅槃,华言灭度。)
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