Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods
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-resi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Metals |
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| Online Access: | https://www.mdpi.com/2075-4701/10/1/92 |
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| author | Katerina Mouralova Pavel Hrabec Libor Benes Jan Otoupalik Josef Bednar Tomas Prokes Radomil Matousek |
| author_facet | Katerina Mouralova Pavel Hrabec Libor Benes Jan Otoupalik Josef Bednar Tomas Prokes Radomil Matousek |
| author_sort | Katerina Mouralova |
| collection | DOAJ |
| description | 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<sup>−1</sup> and discharge current = 35 A. The predicted value of the cutting speed using the fuzzy inference system is 6.471 mm∙min<sup>−1</sup>. |
| first_indexed | 2024-12-21T04:48:55Z |
| format | Article |
| id | doaj.art-d5ade733f81e436c89f196954f386583 |
| institution | Directory Open Access Journal |
| issn | 2075-4701 |
| language | English |
| last_indexed | 2024-12-21T04:48:55Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metals |
| spelling | doaj.art-d5ade733f81e436c89f196954f3865832022-12-21T19:15:31ZengMDPI AGMetals2075-47012020-01-011019210.3390/met10010092met10010092Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical MethodsKaterina Mouralova0Pavel Hrabec1Libor Benes2Jan Otoupalik3Josef Bednar4Tomas Prokes5Radomil Matousek6Faculty of Mechanical Engineering, Brno University of Technology, 616 69 Brno, Czech RepublicFaculty of Mechanical Engineering, Brno University of Technology, 616 69 Brno, Czech RepublicFaculty of Production Technologies and Management, Jan Evangelista Purkyně University, 400 96 Ústí nad Labem, Czech RepublicFaculty of Mechanical Engineering, Brno University of Technology, 616 69 Brno, Czech RepublicFaculty of Mechanical Engineering, Brno University of Technology, 616 69 Brno, Czech RepublicFaculty of Mechanical Engineering, Brno University of Technology, 616 69 Brno, Czech RepublicFaculty of Mechanical Engineering, Brno University of Technology, 616 69 Brno, Czech RepublicWire 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<sup>−1</sup> and discharge current = 35 A. The predicted value of the cutting speed using the fuzzy inference system is 6.471 mm∙min<sup>−1</sup>.https://www.mdpi.com/2075-4701/10/1/92wedm (wire electrical discharge machining)electrical discharge machiningfuzzy inference systemfiscreusabrocutting speeddesign of experiment |
| spellingShingle | Katerina Mouralova Pavel Hrabec Libor Benes Jan Otoupalik Josef Bednar Tomas Prokes Radomil Matousek Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods Metals wedm (wire electrical discharge machining) electrical discharge machining fuzzy inference system fis creusabro cutting speed design of experiment |
| title | Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods |
| title_full | Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods |
| title_fullStr | Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods |
| title_full_unstemmed | Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods |
| title_short | Verification of Fuzzy Inference System for Cutting Speed while WEDM for the Abrasion-Resistant Steel Creusabro by Conventional Statistical Methods |
| title_sort | verification of fuzzy inference system for cutting speed while wedm for the abrasion resistant steel creusabro by conventional statistical methods |
| topic | wedm (wire electrical discharge machining) electrical discharge machining fuzzy inference system fis creusabro cutting speed design of experiment |
| url | https://www.mdpi.com/2075-4701/10/1/92 |
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