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A Particle Finite Element Method for Machining Simulations
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Mechanics of Solid Materials.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Mechanics of Solid Materials.ORCID iD: 0000-0003-0910-7990
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Mechanics of Solid Materials.
Number of Authors: 3
2016 (English)In: ECCOMAS Congress 2016: VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, 5–10 June 2016 / [ed] M. Papadrakakis; V. Papadopoulos; G. Stefanou; V. Plevris, Athens: National Technical University of Athens , 2016, Vol. 1, p. 539-553Conference paper, Published paper (Refereed)
##### Abstract [en]

Metal cutting process is a nonlinear dynamic problem that includes geometrical, material, and contact nonlinearities. In this work a Lagrangian finite element approach for simulation of metal cutting processes is presented, based on the so-called Particle Finite Ele-ment Method (PFEM). The governing equations for the deformable bodies are discretized with the FEM via a mixed formulation using simplicial elements with equal linear interpolation for displacements, pressure and temperature. The use of PFEM for modeling of metal cutting pro-cesses includes the use of a remeshing process, α -shape concepts for detecting domain bound-aries, contact mechanics laws and material constitutive models. The merits of the formulation are demonstrated in the solution of 2D and 3D thermally-coupled metal cutting processes using the particle finite element method. The method shows good results and is a promising method for future simulations of thermally/coupled machining processes.

##### Place, publisher, year, edition, pages
Athens: National Technical University of Athens , 2016. Vol. 1, p. 539-553
##### National Category
Applied Mechanics Other Materials Engineering
##### Research subject
Solid Mechanics; Material Mechanics
##### Identifiers
Scopus ID: 2-s2.0-84995404839Local ID: 88452a73-5c52-4c19-8e51-43441c87605eOAI: oai:DiVA.org:ltu-34341DiVA, id: diva2:1007591
##### Conference
VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, 5–10 June 05/06/2016 - 10/06/2016
##### Note

Godkänd; 2016; 20160606 (parj)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

#### Open Access in DiVA

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Scopushttps://www.eccomas2016.org/proceedings/

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Cite
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