Abstract
A control system to improve the efficiency of machining a workpiece with varying thickness in the wire electrical discharge machining (WEDM) process is proposed. The abnormal ratio R ab defined by the proportion of abnormal sparks in a sampling period is taken as the controlled variable. It is allowed to reduce temporarily as the cutting thickness is changing. A gain self-tuning fuzzy control algorithm is used so that the transient situation as the cutting thickness is suddenly increasing can be suppressed immediately, and a stable performance can be achieved. In addition, the grey predictor is adopted to compensate the time-delayed R ab caused by the low-pass filter data processing. Experiments reveal that there is a slight variance in the optimal reference of R ab when the cutting thickness is larger than 20 mm, and its value is set to 55% in these cases. Three cases were tested: the constant machining parameters, the constant R ab and the proposed adaptive R ab . The results show that the cutting speed can be obviously improved by the proposed control strategy.
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Lee, W.M., Liao, Y.S. Adaptive control of the WEDM process using a self-tuning fuzzy logic algorithm with grey prediction. Int J Adv Manuf Technol 34, 527–537 (2007). https://doi.org/10.1007/s00170-006-0623-2
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DOI: https://doi.org/10.1007/s00170-006-0623-2