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Tool Wear Inspection of Polycrystalline Cubic Boron Nitride Inserts

机译:聚晶立方氮化硼刀片的刀具磨损检测

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In industry, highly frequent inspection of tooling used to machine safety critical components is common place. Worn or damaged tools produce undesirable surface finishes leading often to early failure of the part due to fatigue crack growth. In the development stages of polycrystalline boron nitride tools, the tool wear inspection technique is an off-line run-to-failure method. This approach interrupts the cutting process intermittently, to measure the tool wear using optical and scanning microscopy. This method is time consuming and expensive, causing bottlenecks in production. The overall aim in industry is to develop an on-line, automated system capable of informing the operator of the tool's imminent failure. This paper focuses on treating this process as a preventative maintenance problem by studying whether acoustic emission can be used as an indirect measurement of tool wear at any given time. Acoustic emission measurements taken from the machining process of face turning are investigated here. Basic analysis in the frequency domain using principle component analysis reveals a number of interesting insights into the process. Relationships between the sharpness of the tool and the magnitude of the frequencies suggests promising link between acoustic emission and tool wear.
机译:在工业中,对用于加工安全关键部件的工具进行频繁的检查是很常见的。磨损或损坏的工具会产生不理想的表面光洁度,导致零件因疲劳裂纹扩展而过早失效。在多晶氮化硼刀具的开发阶段,刀具磨损检测技术是一种离线运行到失效的方法。这种方法间歇性中断切削过程,使用光学显微镜和扫描显微镜测量刀具磨损。这种方法既耗时又昂贵,造成生产瓶颈。工业界的总体目标是开发一种在线自动化系统,能够将工具即将发生的故障通知操作员。本文通过研究声发射是否可用于在任何给定时间间接测量刀具磨损,将该过程视为预防性维护问题。本文研究了端面车削加工过程中的声发射测量。利用主成分分析在频域进行的基本分析揭示了对这一过程的一些有趣见解。刀具锋利度和频率大小之间的关系表明,声发射和刀具磨损之间存在着良好的联系。

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