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INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review

Authors :
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
Source :
Journal of Manufacturing and Materials Processing, Vol 8, Iss 1, p 37 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Machining INCONEL® 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® machining. Therefore, a comprehensive review of FEA machining strategies is presented to systematically summarise and analyse the advancements in INCONEL® 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® FEA machining. The genesis of this paper is owed to articles and books from diverse sources. Conducting simulations of INCONEL® 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 (T) 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.

Details

Language :
English
ISSN :
25044494
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Manufacturing and Materials Processing
Publication Type :
Academic Journal
Accession number :
edsdoj.3965473f1eef4d6988da9db66ccaf177
Document Type :
article
Full Text :
https://doi.org/10.3390/jmmp8010037