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A sensibility analysis to geometric and cutting conditions using the particle finite element method (PFEM)

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10.1016/j.procir.2013.06.073
 
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hdl:2117/189729

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Rodriguez Prieto, Juan Manuel
Arrazola, Pedro
Cante Terán, Juan CarlosMés informacióMés informacióMés informació
Kortabarria, Arratibel
Oliver Olivella, XavierMés informacióMés informacióMés informació
Document typeConference report
Defense date2013
PublisherRed Hook
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
The (PFEM) is employed to simulate orthogonal metal cutting of 42CD4 steel. The objectives of this work are mainly three: The first one is to validate PFEM strategies as an efficient tool for numerical simulation of metal cutting processes by a detailed comparison (forces, stresses, strains, temperature, etc.) with results provided by commercial finite element software (Abaqus, AdvantEdge, Deform) and experimental results. The second is to carry out a sensibility analysis to geometric and cutting conditions using PFEM by means of a Design of Experiments (DoE) methodology. And the third one is to identify the advantages and drawbacks of PFEM over FEM and meshless strategies. Also, this work identifies some advantages of PFEM that directly apply to the numerical simulation of machining processes: (i) allows the separation of chip and workpiece without using a physical or geometrical criterion (ii) presents negligible numerical diffusion of state variables due to continuous triangulation, (iii) is an efficient numerical scheme in comparison with FEM.
CitationRodriguez, J.M. [et al.]. A sensibility analysis to geometric and cutting conditions using the particle finite element method (PFEM). A: Conference on Modelling of Machining Operations. "14th CIRP Conference on Modelling of Machining Operations: CIRP CMMO 2013: Turin, Italy: june 13-14, 2013". Red Hook, 2013, p. 105-110. 
URIhttp://hdl.handle.net/2117/189729
DOI10.1016/j.procir.2013.06.073
ISBN9781629935959
Publisher versionhttp://www.sciencedirect.com/science/article/pii/S2212827113003508
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