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- W2019304172 abstract "Wire rupture in the wire electrical discharge machining (WEDM) process is one of the most troublesome problems in practical applications. In this paper, the abnormal ratio Rab, defined as the proportion of abnormal sparks in a sampling period, is taken to represent the gap state in machining. The grey predictor is adopted to compensate the time-delayed Rab caused by the low pass filter data processing. A gain self-tuning fuzzy control system has been developed to cope with the conditions that often occur with wire rupture in the WEDM process, such as an improper setting of machining parameters, machining the workpiece with varying thickness, etc. Experimental results of several cases show that the proposed controller results in a satisfactory performance. Not only can it immediately suppress transient situation once there is a sudden change of workpiece thickness, but a stable performance can also be achieved during machining a workpiece of constant thickness. As a result, wire rupture problems in most WEDM processes can be successively solved by the proposed control strategy." @default.
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- W2019304172 date "2003-11-01" @default.
- W2019304172 modified "2023-09-26" @default.
- W2019304172 title "Self-tuning fuzzy control with a grey prediction for wire rupture prevention in WEDM" @default.
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- W2019304172 doi "https://doi.org/10.1007/s00170-002-1480-2" @default.
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