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Open AccessArticle

Using a Fuzzy Inference System to Obtain Technological Tables for Electrical Discharge Machining Processes

Materials and Manufacturing Engineering Research Group, Engineering Department, Public University of Navarre, Campus de Arrosadía s/n, Pamplona, 31006 Navarra, Spain
Mathematics 2020, 8(6), 922; https://doi.org/10.3390/math8060922
Received: 12 May 2020 / Revised: 1 June 2020 / Accepted: 3 June 2020 / Published: 5 June 2020
(This article belongs to the Special Issue Applications of Fuzzy Optimization and Fuzzy Decision Making)
Technological tables are very important in electrical discharge machining to determine optimal operating conditions for process variables, such as material removal rate or electrode wear. Their determination is of great industrial importance and their experimental determination is very important because they allow the most appropriate operating conditions to be selected beforehand. These technological tables are usually employed for electrical discharge machining of steel, but their number is significantly less in the case of other materials. In this present research study, a methodology based on using a fuzzy inference system to obtain these technological tables is shown with the aim of being able to select the most appropriate manufacturing conditions in advance. In addition, a study of the results obtained using a fuzzy inference system for modeling the behavior of electrical discharge machining parameters is shown. These results are compared to those obtained from response surface methodology. Furthermore, it is demonstrated that the fuzzy system can provide a high degree of precision and, therefore, it can be used to determine the influence of these machining parameters on technological variables, such as roughness, electrode wear, or material removal rate, more efficiently than other techniques. View Full-Text
Keywords: fuzzy; manufacturing; modeling; electrical discharge machining (EDM); technological tables fuzzy; manufacturing; modeling; electrical discharge machining (EDM); technological tables
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Luis Pérez, C.J. Using a Fuzzy Inference System to Obtain Technological Tables for Electrical Discharge Machining Processes. Mathematics 2020, 8, 922.

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