2007
DOI: 10.1016/j.ijmecsci.2006.11.005
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SPH method applied to high speed cutting modelling

Abstract: The purpose of this study is to introduce a new approach of high speed cutting numerical modelling. A Lagrangian smoothed particle hydrodynamics (SPH)-based model is carried out using the Ls-Dyna software. SPH is a meshless method, thus large material distortions that occur in the cutting problem are easily managed and SPH contact control permits a ''natural'' workpiece/chip separation. The developed approach is compared to machining dedicated code results and experimental data. The SPH cutting model has prove… Show more

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Cited by 194 publications
(103 citation statements)
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“…It is very interesting because the Coulomb friction parameter is often used in FEM to adjust predicted cutting forces with the experimental results [9,18]. The results of the (LS-DYNA) SPH model were compared with experimental data in [12].…”
Section: Basic Principles Of the Sph Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…It is very interesting because the Coulomb friction parameter is often used in FEM to adjust predicted cutting forces with the experimental results [9,18]. The results of the (LS-DYNA) SPH model were compared with experimental data in [12].…”
Section: Basic Principles Of the Sph Methodsmentioning
confidence: 99%
“…It is based on the 2D metal cutting model proposed by Limido [12]. This model uses a Smoothed Particle Hydrodynamics (SPH) method in the frame of the LS-DYNA hydrodynamic software [13].…”
Section: Frameworkmentioning
confidence: 99%
“…SPH method has been successfully employed in the machining of various ductile materials [14][15][16]. However, simulations of machining of brittle materials using SPH method are very few.…”
Section: Introductionmentioning
confidence: 99%
“…Details about the SPH formulation can be found in (Liu and Liu, 2010). Limido et al (2007) utilized the LS-DYNA SPH code to model continuous chip formation in aluminum alloy and serrated chip formation in hardened steel. The model predicted chip morphology and cutting forces with errors of 10% to 30%.…”
Section: Introductionmentioning
confidence: 99%