Pedroso, André F. V. and Sebbe, Naiara P. V. and Costa, Rúben D. F. S. and Barbosa, Marta L. S. and Sales-Contini, Rita C. M. and Silva, Francisco J. G. and Campilho, Raul D. S. G. and de Jesus, Abílio M. P. (2024) INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review. Journal of Manufacturing and Materials Processing, 8 (1). p. 37. ISSN 2504-4494
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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.
Item Type: | Article |
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Subjects: | Eurolib Press > Multidisciplinary |
Depositing User: | Managing Editor |
Date Deposited: | 10 Feb 2024 07:39 |
Last Modified: | 10 Feb 2024 07:39 |
URI: | http://info.submit4journal.com/id/eprint/3448 |