Fuzzy-TOPSIS Hybrid Technique for Multi-response Optimization in Nonconventional Machining of Gears

Thobadingoe Craven Phokane; Kapil Gupta

doi:10.1007/978-3-031-20141-7_45

Fuzzy-TOPSIS Hybrid Technique for Multi-response Optimization in Nonconventional Machining of Gears

Thobadingoe Craven Phokane
, Kapil Gupta

Mechanical and Industrial Engineering Technology

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An optimum combination of process parameters is essential to attain the desired product quality and process productivity in manufacturing. Advanced or nonconventional machining of gears is in trend these days. This paper reports the optimization of wire-EDM parameters by Fuzzy-TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) integrated hybrid multi-criteria decision making technique. Gear manufacturing by wire-EDM involves conflicting interests such as gear quality and process productivity. For a better gear quality, lower values of surface roughness and micro-geometry errors are desirable, whereas for higher productivity, higher values of gear cutting rate is desirable. This multi-criteria problem has been solved in this work. After cutting gears from wire-EDM via a set of twenty-nine experiments, Fuzzy-TOPSIS has been used to optimize its process parameters. An optimum combination of Voltage – 10 V, Pulse-on Time – 0.8 µs, Pulse-off Time – 170 µs and Wire Feed Rate – 15 m/min has been obtained for simultaneous improvement of gear quality and wire-EDM productivity has been achieved. The outcome of this work provides a set of wire-EDM parameters for ready industrial use to manufacture quality gears with good productivity. Further, it is hoped that the scholars and researchers will utilized the Fuzzy-TOPSIS to solve MCDM problems for other manufacturing processes.

Original language	English
Title of host publication	Smart Technologies in Urban Engineering - Proceedings of STUE-2022
Editors	Olga Arsenyeva, Tatiana Romanova, Maria Sukhonos, Yevgen Tsegelnyk
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	489-501
Number of pages	13
ISBN (Print)	9783031201400
DOIs	https://doi.org/10.1007/978-3-031-20141-7_45
Publication status	Published - 2023
Event	International Conference on Smart Technologies in Urban Engineering, STUE 2022 - Kharkiv, Ukraine Duration: 9 Jun 2022 → 11 Jun 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	536 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Smart Technologies in Urban Engineering, STUE 2022
Country/Territory	Ukraine
City	Kharkiv
Period	9/06/22 → 11/06/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Fuzzy
Gear
Productivity
Quality
TOPSIS
Wire-EDM

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-3-031-20141-7_45

Cite this

Phokane, T. C., & Gupta, K. (2023). Fuzzy-TOPSIS Hybrid Technique for Multi-response Optimization in Nonconventional Machining of Gears. In O. Arsenyeva, T. Romanova, M. Sukhonos, & Y. Tsegelnyk (Eds.), Smart Technologies in Urban Engineering - Proceedings of STUE-2022 (pp. 489-501). (Lecture Notes in Networks and Systems; Vol. 536 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-20141-7_45

Phokane, Thobadingoe Craven ; Gupta, Kapil. / Fuzzy-TOPSIS Hybrid Technique for Multi-response Optimization in Nonconventional Machining of Gears. Smart Technologies in Urban Engineering - Proceedings of STUE-2022. editor / Olga Arsenyeva ; Tatiana Romanova ; Maria Sukhonos ; Yevgen Tsegelnyk. Springer Science and Business Media Deutschland GmbH, 2023. pp. 489-501 (Lecture Notes in Networks and Systems).

@inproceedings{b4f29d7ff9c54aeaab83ff469e6e8abc,

title = "Fuzzy-TOPSIS Hybrid Technique for Multi-response Optimization in Nonconventional Machining of Gears",

abstract = "An optimum combination of process parameters is essential to attain the desired product quality and process productivity in manufacturing. Advanced or nonconventional machining of gears is in trend these days. This paper reports the optimization of wire-EDM parameters by Fuzzy-TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) integrated hybrid multi-criteria decision making technique. Gear manufacturing by wire-EDM involves conflicting interests such as gear quality and process productivity. For a better gear quality, lower values of surface roughness and micro-geometry errors are desirable, whereas for higher productivity, higher values of gear cutting rate is desirable. This multi-criteria problem has been solved in this work. After cutting gears from wire-EDM via a set of twenty-nine experiments, Fuzzy-TOPSIS has been used to optimize its process parameters. An optimum combination of Voltage – 10 V, Pulse-on Time – 0.8 µs, Pulse-off Time – 170 µs and Wire Feed Rate – 15 m/min has been obtained for simultaneous improvement of gear quality and wire-EDM productivity has been achieved. The outcome of this work provides a set of wire-EDM parameters for ready industrial use to manufacture quality gears with good productivity. Further, it is hoped that the scholars and researchers will utilized the Fuzzy-TOPSIS to solve MCDM problems for other manufacturing processes.",

keywords = "Fuzzy, Gear, Productivity, Quality, TOPSIS, Wire-EDM",

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Phokane, TC & Gupta, K 2023, Fuzzy-TOPSIS Hybrid Technique for Multi-response Optimization in Nonconventional Machining of Gears. in O Arsenyeva, T Romanova, M Sukhonos & Y Tsegelnyk (eds), Smart Technologies in Urban Engineering - Proceedings of STUE-2022. Lecture Notes in Networks and Systems, vol. 536 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 489-501, International Conference on Smart Technologies in Urban Engineering, STUE 2022, Kharkiv, Ukraine, 9/06/22. https://doi.org/10.1007/978-3-031-20141-7_45

Fuzzy-TOPSIS Hybrid Technique for Multi-response Optimization in Nonconventional Machining of Gears. / Phokane, Thobadingoe Craven; Gupta, Kapil.
Smart Technologies in Urban Engineering - Proceedings of STUE-2022. ed. / Olga Arsenyeva; Tatiana Romanova; Maria Sukhonos; Yevgen Tsegelnyk. Springer Science and Business Media Deutschland GmbH, 2023. p. 489-501 (Lecture Notes in Networks and Systems; Vol. 536 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fuzzy-TOPSIS Hybrid Technique for Multi-response Optimization in Nonconventional Machining of Gears

AU - Phokane, Thobadingoe Craven

AU - Gupta, Kapil

PY - 2023

Y1 - 2023

N2 - An optimum combination of process parameters is essential to attain the desired product quality and process productivity in manufacturing. Advanced or nonconventional machining of gears is in trend these days. This paper reports the optimization of wire-EDM parameters by Fuzzy-TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) integrated hybrid multi-criteria decision making technique. Gear manufacturing by wire-EDM involves conflicting interests such as gear quality and process productivity. For a better gear quality, lower values of surface roughness and micro-geometry errors are desirable, whereas for higher productivity, higher values of gear cutting rate is desirable. This multi-criteria problem has been solved in this work. After cutting gears from wire-EDM via a set of twenty-nine experiments, Fuzzy-TOPSIS has been used to optimize its process parameters. An optimum combination of Voltage – 10 V, Pulse-on Time – 0.8 µs, Pulse-off Time – 170 µs and Wire Feed Rate – 15 m/min has been obtained for simultaneous improvement of gear quality and wire-EDM productivity has been achieved. The outcome of this work provides a set of wire-EDM parameters for ready industrial use to manufacture quality gears with good productivity. Further, it is hoped that the scholars and researchers will utilized the Fuzzy-TOPSIS to solve MCDM problems for other manufacturing processes.

AB - An optimum combination of process parameters is essential to attain the desired product quality and process productivity in manufacturing. Advanced or nonconventional machining of gears is in trend these days. This paper reports the optimization of wire-EDM parameters by Fuzzy-TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) integrated hybrid multi-criteria decision making technique. Gear manufacturing by wire-EDM involves conflicting interests such as gear quality and process productivity. For a better gear quality, lower values of surface roughness and micro-geometry errors are desirable, whereas for higher productivity, higher values of gear cutting rate is desirable. This multi-criteria problem has been solved in this work. After cutting gears from wire-EDM via a set of twenty-nine experiments, Fuzzy-TOPSIS has been used to optimize its process parameters. An optimum combination of Voltage – 10 V, Pulse-on Time – 0.8 µs, Pulse-off Time – 170 µs and Wire Feed Rate – 15 m/min has been obtained for simultaneous improvement of gear quality and wire-EDM productivity has been achieved. The outcome of this work provides a set of wire-EDM parameters for ready industrial use to manufacture quality gears with good productivity. Further, it is hoped that the scholars and researchers will utilized the Fuzzy-TOPSIS to solve MCDM problems for other manufacturing processes.

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KW - Productivity

KW - Quality

KW - TOPSIS

KW - Wire-EDM

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M3 - Conference contribution

AN - SCOPUS:85144175011

SN - 9783031201400

T3 - Lecture Notes in Networks and Systems

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BT - Smart Technologies in Urban Engineering - Proceedings of STUE-2022

A2 - Arsenyeva, Olga

A2 - Romanova, Tatiana

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PB - Springer Science and Business Media Deutschland GmbH

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Phokane TC, Gupta K. Fuzzy-TOPSIS Hybrid Technique for Multi-response Optimization in Nonconventional Machining of Gears. In Arsenyeva O, Romanova T, Sukhonos M, Tsegelnyk Y, editors, Smart Technologies in Urban Engineering - Proceedings of STUE-2022. Springer Science and Business Media Deutschland GmbH. 2023. p. 489-501. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-20141-7_45

Fuzzy-TOPSIS Hybrid Technique for Multi-response Optimization in Nonconventional Machining of Gears

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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