Optimization of wire electro discharge machining parameters using principal component analysis
Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conduct...
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| Autor*in: |
Senthilkumar, C. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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© The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: International Journal of Systems Assurance Engineering and Management - Springer-Verlag, 2010, 14(2023), 3 vom: 17. Apr., Seite 1040-1048 |
|---|---|
| Übergeordnetes Werk: |
volume:14 ; year:2023 ; number:3 ; day:17 ; month:04 ; pages:1040-1048 |
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| DOI / URN: |
10.1007/s13198-023-01916-1 |
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| 520 | |a Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conductivity, poor electrical conductivity, quick strain hardening, high cutting tool temperatures, poor surface quality, and built-up edge formation. Hence, Nontraditional machining methods, like WEDM, can overcome these technical challenges and produce complicated part forms with good surface polish with high precision. Hence, the current study focuses on how process variables affect the responses like rate of removal (RR) and roughness (Ra). Because WEDM is an extremely complicated stochastic process, even an incidental variations in one of control factors can cause the responses to change, choosing an appropriate process parameter combination is vital. As a result, to cater the needs of today's industrial technology and customers, a thorough investigation into the choosing appropriate process parameters and solutions is required. So, multi-objective optimization based on principal component analysis (PCA) was used to optimize the process parameters. | ||
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10.1007/s13198-023-01916-1 doi (DE-627)SPR05251854X (SPR)s13198-023-01916-1-e DE-627 ger DE-627 rakwb eng Senthilkumar, C. verfasserin (orcid)0000-0002-0268-3701 aut Optimization of wire electro discharge machining parameters using principal component analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conductivity, poor electrical conductivity, quick strain hardening, high cutting tool temperatures, poor surface quality, and built-up edge formation. Hence, Nontraditional machining methods, like WEDM, can overcome these technical challenges and produce complicated part forms with good surface polish with high precision. Hence, the current study focuses on how process variables affect the responses like rate of removal (RR) and roughness (Ra). Because WEDM is an extremely complicated stochastic process, even an incidental variations in one of control factors can cause the responses to change, choosing an appropriate process parameter combination is vital. As a result, to cater the needs of today's industrial technology and customers, a thorough investigation into the choosing appropriate process parameters and solutions is required. So, multi-objective optimization based on principal component analysis (PCA) was used to optimize the process parameters. Removal rate (dpeaa)DE-He213 Ra (dpeaa)DE-He213 PCA (dpeaa)DE-He213 Nandakumar, C. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2023), 3 vom: 17. Apr., Seite 1040-1048 (DE-627)SPR031222420 nnns volume:14 year:2023 number:3 day:17 month:04 pages:1040-1048 https://dx.doi.org/10.1007/s13198-023-01916-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2023 3 17 04 1040-1048 |
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10.1007/s13198-023-01916-1 doi (DE-627)SPR05251854X (SPR)s13198-023-01916-1-e DE-627 ger DE-627 rakwb eng Senthilkumar, C. verfasserin (orcid)0000-0002-0268-3701 aut Optimization of wire electro discharge machining parameters using principal component analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conductivity, poor electrical conductivity, quick strain hardening, high cutting tool temperatures, poor surface quality, and built-up edge formation. Hence, Nontraditional machining methods, like WEDM, can overcome these technical challenges and produce complicated part forms with good surface polish with high precision. Hence, the current study focuses on how process variables affect the responses like rate of removal (RR) and roughness (Ra). Because WEDM is an extremely complicated stochastic process, even an incidental variations in one of control factors can cause the responses to change, choosing an appropriate process parameter combination is vital. As a result, to cater the needs of today's industrial technology and customers, a thorough investigation into the choosing appropriate process parameters and solutions is required. So, multi-objective optimization based on principal component analysis (PCA) was used to optimize the process parameters. Removal rate (dpeaa)DE-He213 Ra (dpeaa)DE-He213 PCA (dpeaa)DE-He213 Nandakumar, C. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2023), 3 vom: 17. Apr., Seite 1040-1048 (DE-627)SPR031222420 nnns volume:14 year:2023 number:3 day:17 month:04 pages:1040-1048 https://dx.doi.org/10.1007/s13198-023-01916-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2023 3 17 04 1040-1048 |
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10.1007/s13198-023-01916-1 doi (DE-627)SPR05251854X (SPR)s13198-023-01916-1-e DE-627 ger DE-627 rakwb eng Senthilkumar, C. verfasserin (orcid)0000-0002-0268-3701 aut Optimization of wire electro discharge machining parameters using principal component analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conductivity, poor electrical conductivity, quick strain hardening, high cutting tool temperatures, poor surface quality, and built-up edge formation. Hence, Nontraditional machining methods, like WEDM, can overcome these technical challenges and produce complicated part forms with good surface polish with high precision. Hence, the current study focuses on how process variables affect the responses like rate of removal (RR) and roughness (Ra). Because WEDM is an extremely complicated stochastic process, even an incidental variations in one of control factors can cause the responses to change, choosing an appropriate process parameter combination is vital. As a result, to cater the needs of today's industrial technology and customers, a thorough investigation into the choosing appropriate process parameters and solutions is required. So, multi-objective optimization based on principal component analysis (PCA) was used to optimize the process parameters. Removal rate (dpeaa)DE-He213 Ra (dpeaa)DE-He213 PCA (dpeaa)DE-He213 Nandakumar, C. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2023), 3 vom: 17. Apr., Seite 1040-1048 (DE-627)SPR031222420 nnns volume:14 year:2023 number:3 day:17 month:04 pages:1040-1048 https://dx.doi.org/10.1007/s13198-023-01916-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2023 3 17 04 1040-1048 |
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10.1007/s13198-023-01916-1 doi (DE-627)SPR05251854X (SPR)s13198-023-01916-1-e DE-627 ger DE-627 rakwb eng Senthilkumar, C. verfasserin (orcid)0000-0002-0268-3701 aut Optimization of wire electro discharge machining parameters using principal component analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conductivity, poor electrical conductivity, quick strain hardening, high cutting tool temperatures, poor surface quality, and built-up edge formation. Hence, Nontraditional machining methods, like WEDM, can overcome these technical challenges and produce complicated part forms with good surface polish with high precision. Hence, the current study focuses on how process variables affect the responses like rate of removal (RR) and roughness (Ra). Because WEDM is an extremely complicated stochastic process, even an incidental variations in one of control factors can cause the responses to change, choosing an appropriate process parameter combination is vital. As a result, to cater the needs of today's industrial technology and customers, a thorough investigation into the choosing appropriate process parameters and solutions is required. So, multi-objective optimization based on principal component analysis (PCA) was used to optimize the process parameters. Removal rate (dpeaa)DE-He213 Ra (dpeaa)DE-He213 PCA (dpeaa)DE-He213 Nandakumar, C. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2023), 3 vom: 17. Apr., Seite 1040-1048 (DE-627)SPR031222420 nnns volume:14 year:2023 number:3 day:17 month:04 pages:1040-1048 https://dx.doi.org/10.1007/s13198-023-01916-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2023 3 17 04 1040-1048 |
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10.1007/s13198-023-01916-1 doi (DE-627)SPR05251854X (SPR)s13198-023-01916-1-e DE-627 ger DE-627 rakwb eng Senthilkumar, C. verfasserin (orcid)0000-0002-0268-3701 aut Optimization of wire electro discharge machining parameters using principal component analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conductivity, poor electrical conductivity, quick strain hardening, high cutting tool temperatures, poor surface quality, and built-up edge formation. Hence, Nontraditional machining methods, like WEDM, can overcome these technical challenges and produce complicated part forms with good surface polish with high precision. Hence, the current study focuses on how process variables affect the responses like rate of removal (RR) and roughness (Ra). Because WEDM is an extremely complicated stochastic process, even an incidental variations in one of control factors can cause the responses to change, choosing an appropriate process parameter combination is vital. As a result, to cater the needs of today's industrial technology and customers, a thorough investigation into the choosing appropriate process parameters and solutions is required. So, multi-objective optimization based on principal component analysis (PCA) was used to optimize the process parameters. Removal rate (dpeaa)DE-He213 Ra (dpeaa)DE-He213 PCA (dpeaa)DE-He213 Nandakumar, C. aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 14(2023), 3 vom: 17. Apr., Seite 1040-1048 (DE-627)SPR031222420 nnns volume:14 year:2023 number:3 day:17 month:04 pages:1040-1048 https://dx.doi.org/10.1007/s13198-023-01916-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 14 2023 3 17 04 1040-1048 |
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Optimization of wire electro discharge machining parameters using principal component analysis |
| abstract |
Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conductivity, poor electrical conductivity, quick strain hardening, high cutting tool temperatures, poor surface quality, and built-up edge formation. Hence, Nontraditional machining methods, like WEDM, can overcome these technical challenges and produce complicated part forms with good surface polish with high precision. Hence, the current study focuses on how process variables affect the responses like rate of removal (RR) and roughness (Ra). Because WEDM is an extremely complicated stochastic process, even an incidental variations in one of control factors can cause the responses to change, choosing an appropriate process parameter combination is vital. As a result, to cater the needs of today's industrial technology and customers, a thorough investigation into the choosing appropriate process parameters and solutions is required. So, multi-objective optimization based on principal component analysis (PCA) was used to optimize the process parameters. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conductivity, poor electrical conductivity, quick strain hardening, high cutting tool temperatures, poor surface quality, and built-up edge formation. Hence, Nontraditional machining methods, like WEDM, can overcome these technical challenges and produce complicated part forms with good surface polish with high precision. Hence, the current study focuses on how process variables affect the responses like rate of removal (RR) and roughness (Ra). Because WEDM is an extremely complicated stochastic process, even an incidental variations in one of control factors can cause the responses to change, choosing an appropriate process parameter combination is vital. As a result, to cater the needs of today's industrial technology and customers, a thorough investigation into the choosing appropriate process parameters and solutions is required. So, multi-objective optimization based on principal component analysis (PCA) was used to optimize the process parameters. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract Titanium and its alloys are commonly utilized in the aerospace and automobile sectors, because of its superior corrosion resistance, chemical inertness, strength properties. Machining of Titanium alloys using traditional method is extremely challenging task due to it has low thermal conductivity, poor electrical conductivity, quick strain hardening, high cutting tool temperatures, poor surface quality, and built-up edge formation. Hence, Nontraditional machining methods, like WEDM, can overcome these technical challenges and produce complicated part forms with good surface polish with high precision. Hence, the current study focuses on how process variables affect the responses like rate of removal (RR) and roughness (Ra). Because WEDM is an extremely complicated stochastic process, even an incidental variations in one of control factors can cause the responses to change, choosing an appropriate process parameter combination is vital. As a result, to cater the needs of today's industrial technology and customers, a thorough investigation into the choosing appropriate process parameters and solutions is required. So, multi-objective optimization based on principal component analysis (PCA) was used to optimize the process parameters. © The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| title_short |
Optimization of wire electro discharge machining parameters using principal component analysis |
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https://dx.doi.org/10.1007/s13198-023-01916-1 |
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| author2 |
Nandakumar, C. |
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Nandakumar, C. |
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| doi_str |
10.1007/s13198-023-01916-1 |
| up_date |
2024-07-04T03:04:35.183Z |
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