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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.ORCID iD: 0000-0003-3865-1426
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: 32016 (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
URN: urn:nbn:se:ltu:diva-34341Scopus 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: 2018-06-05Bibliographically approved

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

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Rodriguez Prieto, Juan ManuelJonsén, PärSvoboda, Ales

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