Numerical methods for the modelling of chip formation

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 metho...

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Bibliographic Details
Authors: Carbonell Puigbó, Josep Maria|||0000-0002-2378-5053, Rodriguez Prieto, Juan Manuel, Jonsen, Par
Format: article
Publication Date:2018
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/166234
Online Access:https://hdl.handle.net/2117/166234
https://dx.doi.org/10.1007/s11831-018-09313-9
Access Level:Open access
Keyword:Metals
Finite element method
Metal cutting processes
Numerical Simulation
Finite Element Method
Lagrangian Meshes
Meshless methods.
Metalls
Elements finits, Mètode dels
Àrees temàtiques de la UPC::Enginyeria dels materials::Metal·lúrgia
Description
Summary: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 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.