INCONEL<sup>®</sup> Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review
Machining INCONEL<sup>®</sup> presents significant challenges in predicting its behaviour, and a comprehensive experimental assessment of its machinability is costly and unsustainable. Design of Experiments (DOE) can be conducted non-destructively through Finite Element Analysis (FEA). H...
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MDPI AG
2024-02-01
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Series: | Journal of Manufacturing and Materials Processing |
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Online Access: | https://www.mdpi.com/2504-4494/8/1/37 |
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author | André F. V. Pedroso Naiara P. V. Sebbe Rúben D. F. S. Costa Marta L. S. Barbosa Rita C. M. Sales-Contini Francisco J. G. Silva Raul D. S. G. Campilho Abílio M. P. de Jesus |
author_facet | André F. V. Pedroso Naiara P. V. Sebbe Rúben D. F. S. Costa Marta L. S. Barbosa Rita C. M. Sales-Contini Francisco J. G. Silva Raul D. S. G. Campilho Abílio M. P. de Jesus |
author_sort | André F. V. Pedroso |
collection | DOAJ |
description | Machining INCONEL<sup>®</sup> presents significant challenges in predicting its behaviour, and a comprehensive experimental assessment of its machinability is costly and unsustainable. Design of Experiments (DOE) can be conducted non-destructively through Finite Element Analysis (FEA). However, it is crucial to ascertain whether numerical and constitutive models can accurately predict INCONEL<sup>®</sup> machining. Therefore, a comprehensive review of FEA machining strategies is presented to systematically summarise and analyse the advancements in INCONEL<sup>®</sup> milling, turning, and drilling simulations through FEA from 2013 to 2023. Additionally, non-conventional manufacturing simulations are addressed. This review highlights the most recent modelling digital solutions, prospects, and limitations that researchers have proposed when tackling INCONEL<sup>®</sup> FEA machining. The genesis of this paper is owed to articles and books from diverse sources. Conducting simulations of INCONEL<sup>®</sup> machining through FEA can significantly enhance experimental analyses with the proper choice of damage and failure criteria. This approach not only enables a more precise calibration of parameters but also improves temperature (<i>T</i>) prediction during the machining process, accurate Tool Wear (TW) quantity and typology forecasts, and accurate surface quality assessment by evaluating Surface Roughness (SR) and the surface stress state. Additionally, it aids in making informed choices regarding the potential use of tool coatings. |
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id | doaj.art-3965473f1eef4d6988da9db66ccaf177 |
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issn | 2504-4494 |
language | English |
last_indexed | 2024-03-07T22:25:29Z |
publishDate | 2024-02-01 |
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series | Journal of Manufacturing and Materials Processing |
spelling | doaj.art-3965473f1eef4d6988da9db66ccaf1772024-02-23T15:22:55ZengMDPI AGJournal of Manufacturing and Materials Processing2504-44942024-02-01813710.3390/jmmp8010037INCONEL<sup>®</sup> Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended ReviewAndré F. V. Pedroso0Naiara P. V. Sebbe1Rúben D. F. S. Costa2Marta L. S. Barbosa3Rita C. M. Sales-Contini4Francisco J. G. Silva5Raul D. S. G. Campilho6Abílio M. P. de Jesus7CIDEM, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 4249-015 Porto, PortugalCIDEM, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 4249-015 Porto, PortugalDepartment of Mechanical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias 400, 4200-465 Porto, PortugalDepartment of Mechanical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias 400, 4200-465 Porto, PortugalCIDEM, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 4249-015 Porto, PortugalCIDEM, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 4249-015 Porto, PortugalCIDEM, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 4249-015 Porto, PortugalDepartment of Mechanical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias 400, 4200-465 Porto, PortugalMachining INCONEL<sup>®</sup> presents significant challenges in predicting its behaviour, and a comprehensive experimental assessment of its machinability is costly and unsustainable. Design of Experiments (DOE) can be conducted non-destructively through Finite Element Analysis (FEA). However, it is crucial to ascertain whether numerical and constitutive models can accurately predict INCONEL<sup>®</sup> machining. Therefore, a comprehensive review of FEA machining strategies is presented to systematically summarise and analyse the advancements in INCONEL<sup>®</sup> milling, turning, and drilling simulations through FEA from 2013 to 2023. Additionally, non-conventional manufacturing simulations are addressed. This review highlights the most recent modelling digital solutions, prospects, and limitations that researchers have proposed when tackling INCONEL<sup>®</sup> FEA machining. The genesis of this paper is owed to articles and books from diverse sources. Conducting simulations of INCONEL<sup>®</sup> machining through FEA can significantly enhance experimental analyses with the proper choice of damage and failure criteria. This approach not only enables a more precise calibration of parameters but also improves temperature (<i>T</i>) prediction during the machining process, accurate Tool Wear (TW) quantity and typology forecasts, and accurate surface quality assessment by evaluating Surface Roughness (SR) and the surface stress state. Additionally, it aids in making informed choices regarding the potential use of tool coatings.https://www.mdpi.com/2504-4494/8/1/37INCONEL<sup>®</sup> 718INCONEL<sup>®</sup> 625FEAtraditional machining modellingnon-conventional machining modellingJohnson–Cook criteria |
spellingShingle | André F. V. Pedroso Naiara P. V. Sebbe Rúben D. F. S. Costa Marta L. S. Barbosa Rita C. M. Sales-Contini Francisco J. G. Silva Raul D. S. G. Campilho Abílio M. P. de Jesus INCONEL<sup>®</sup> Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review Journal of Manufacturing and Materials Processing INCONEL<sup>®</sup> 718 INCONEL<sup>®</sup> 625 FEA traditional machining modelling non-conventional machining modelling Johnson–Cook criteria |
title | INCONEL<sup>®</sup> Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review |
title_full | INCONEL<sup>®</sup> Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review |
title_fullStr | INCONEL<sup>®</sup> Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review |
title_full_unstemmed | INCONEL<sup>®</sup> Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review |
title_short | INCONEL<sup>®</sup> Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review |
title_sort | inconel sup r sup alloy machining and tool wear finite element analysis assessment an extended review |
topic | INCONEL<sup>®</sup> 718 INCONEL<sup>®</sup> 625 FEA traditional machining modelling non-conventional machining modelling Johnson–Cook criteria |
url | https://www.mdpi.com/2504-4494/8/1/37 |
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