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Detection of accelerated tool wear in turning

机译:转动时加速工具磨损的检测

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There are many algorithms for the identification of gradual tool wear (GTW) which usually counts in minutes and the detection of catastrophic tool failure (CTF) which counts in milliseconds. However, the tool may lose its cutting ability by accelerated tool wear (ATW), which may last several seconds and cannot be sensed either by GTW or CTF detection algorithms. The paper presents an innovative algorithm for early detection of ATW and CTF. It consists in comparing the waveforms of the cutting force sensor signal in hierarchical time windows. The compared waveforms are independent of the absolute value of the signal. This allows the detection of ATWs of different intensity and duration. Tests proved that successful detection of ATW allows for prevention of CTF.
机译:有许多算法用于识别逐渐刀具磨损(GTW),其通常以分钟计数和检测到毫秒计数的灾难性工具故障(CTF)。 然而,该工具可能通过加速工具磨损(ATW)失去其切削能力,这可能持续几秒钟,并且不能通过GTW或CTF检测算法感测。 本文提出了一种用于早期检测ATW和CTF的创新算法。 它包括比较分层时间窗口中的切割力传感器信号的波形。 比较波形与信号的绝对值无关。 这允许检测不同强度和持续时间的ATW。 试验证明,成功检测ATW允许预防CTF。

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