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

Title
INCONEL® Alloy Machining and Tool Wear Finite Element Analysis Assessment: An Extended Review
Type
Another Publication in an International Scientific Journal
Year
2024
Authors
Pedroso, AFV
(Author)
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Sebbe, NPV
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Costa, RDFS
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Barbosa, MLS
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Sales-Contini, RCM
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Silva, FJG
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Campilho, RDSG
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Abilio M P De Jesus
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FEUP
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Journal
Vol. 8
Final page: 37
Publisher: MDPI
Other information
Authenticus ID: P-010-5DF
Abstract (EN): Machining INCONEL (R) 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 (R) machining. Therefore, a comprehensive review of FEA machining strategies is presented to systematically summarise and analyse the advancements in INCONEL (R) 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 (R) FEA machining. The genesis of this paper is owed to articles and books from diverse sources. Conducting simulations of INCONEL (R) 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.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 46
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