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Dislocation Density Based Material Model Applied in PFEM-simulation of Metal Cutting
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.
2017 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 58, 193-197 p.Article in journal (Refereed) Published
Abstract [en]

Metal cutting is one of the most common metal-shaping processes. In this process, specified geometrical and surface properties are obtained through the break-up and removal of material by a cutting edge into a chip. The chip formation is associated with large strains, high strain rates and locally high temperatures due to adiabatic heating. These phenomena together with numerical complications make modeling of metal cutting challenging. Material models, which are crucial in metal-cutting simulations, are usually calibrated against data from material testing. Nevertheless, the magnitudes of strains and strain rates involved in metal cutting are several orders of magnitude higher than those generated from conventional material testing. Therefore, a highly desirable feature is a material model that can be extrapolated outside the calibration range. In this study, a physically based plasticity model based on dislocation density and vacancy concentration is used to simulate orthogonal metal cutting of AISI 316L. The material model is implemented into an in-house particle finite-element method software. Numerical simulations are in agreement with experimental results for different cutting speed and feed.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 58, 193-197 p.
National Category
Other Materials Engineering Applied Mechanics
Research subject
Solid Mechanics; Engineering Materials
Identifiers
URN: urn:nbn:se:ltu:diva-63646DOI: 10.1016/j.procir.2017.03.338ISI: 000404958500033Scopus ID: 2-s2.0-85029766541OAI: oai:DiVA.org:ltu-63646DiVA: diva2:1104422
Conference
16th CIRP Conference on Modelling of Machining Operations (16th CIRP CMMO), Cluny, France, June 15-16, 2017
Note

2017-06-01 (andbra);Konferensartikel i tidskrift

Available from: 2017-06-01 Created: 2017-06-01 Last updated: 2017-11-24Bibliographically approved

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Rodriguez, Juan ManuelJonsén, PärSvoboda, Ales

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