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Numerical Methods for the Modelling of Chip Formation
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Mechanics of Solid Materials.ORCID iD: 0000-0003-3865-1426
International Center for Numerical Methods in Engineering (CIMNE), Campus Nord UPC, Barcelona, Spain.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Mechanics of Solid Materials.ORCID iD: 0000-0003-0910-7990
2020 (English)In: Archives of Computational Methods in Engineering, ISSN 1134-3060, E-ISSN 1886-1784, Vol. 27, no 2, p. 387-412Article in journal (Refereed) Published
Abstract [en]

The modeling of metal cutting has proved to be particularly complex due to the diversity of physical phenomena involved, including thermo-mechanical coupling, contact/friction and material failure. During the last few decades, there has been significant progress in the development of numerical methods for modeling machining operations. Furthermore, the most relevant techniques have been implemented in the relevant commercial codes creating tools for the engineers working in the design of processes and cutting devices. This paper presents a review on the numerical modeling methods and techniques used for the simulation of machining processes. The main purpose is to identify the strengths and weaknesses of each method and strategy developed up-to-now. Moreover the review covers the classical Finite Element Method covering mesh-less methods, particle-based methods and different possibilities of Eulerian and Lagrangian approaches.

Place, publisher, year, edition, pages
Springer, 2020. Vol. 27, no 2, p. 387-412
National Category
Applied Mechanics
Research subject
Solid Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-72672DOI: 10.1007/s11831-018-09313-9ISI: 000519468600003Scopus ID: 2-s2.0-85058942301OAI: oai:DiVA.org:ltu-72672DiVA, id: diva2:1282378
Note

Validerad;2020;Nivå 2;2020-03-18 (alebob)

Available from: 2019-01-24 Created: 2019-01-24 Last updated: 2023-09-05Bibliographically approved

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Rodriguez Prieto, Juan ManuelJonsén, Pär

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