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Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods

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Faculty of Mechanical Engineering, Brno University of Technology, 616 69 Brno, Czech Republic
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Faculty of Production Technologies and Management, Jan Evangelista Purkyně University, 400 96 Ústí nad Labem, Czech Republic
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Author to whom correspondence should be addressed.
Metals 2020, 10(1), 92; https://doi.org/10.3390/met10010092
Received: 26 November 2019 / Revised: 1 January 2020 / Accepted: 3 January 2020 / Published: 6 January 2020
Wire electrical discharge machining is an unconventional machining method for the production of complex-shaped and very precise parts. Because of the high energy consumption of this machining process, it is necessary to maximize the cutting speed for its appropriate implementation. The abrasion-resistant steel Creusabro 4800 was chosen as the test material for this experiment, which is widely used especially for machines working in mines and quarries. In order to maximize the cutting speed, a fuzzy inference system (FIS) has been built, which uses 18 expert propositions to “model” the cutting speed based on five selected input parameters: gap voltage, pulse on time, pulse off time, discharge current, and wire feed. The obtained results were further verified by a design of experiment consisting of 33 tests for five selected input factors. Using the fuzzy inference system, the optimum machine parameters setup was found to maximize the cutting speed, in which the gap voltage = 60 V, pulse on time = 10 µs, pulse off time = 30 µs, wire feed = 10 m∙min−1 and discharge current = 35 A. The predicted value of the cutting speed using the fuzzy inference system is 6.471 mm∙min−1. View Full-Text
Keywords: WEDM (wire electrical discharge machining); electrical discharge machining; fuzzy inference system; FIS; Creusabro; cutting speed; design of experiment WEDM (wire electrical discharge machining); electrical discharge machining; fuzzy inference system; FIS; Creusabro; cutting speed; design of experiment
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Mouralova, K.; Hrabec, P.; Benes, L.; Otoupalik, J.; Bednar, J.; Prokes, T.; Matousek, R. Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods. Metals 2020, 10, 92.

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