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A mixed Eulerian-Lagrangian approach for metal extrusion

A mixed Eulerian-Lagrangian approach for metal extrusion

Williams, A.J., Slone, A.K., Croft, T.N. and Cross, M. (2003) A mixed Eulerian-Lagrangian approach for metal extrusion. In: Proceedings of the 6th ESAFORM Conference on Material Forming, 28-30 April 2003, Salerno, Italy. Nuova Ipsa Editore, Palermo, Italy, pp. 663-666. ISBN 8876762116

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Abstract

In this paper a mixed Eulerian-Lagrangian approach for the modelling metal extrusion processes is presented. The approach involves the solution of non-Newtonian fluid flow equations in an Eulerian context, using a free-surface algorithm to track the behaviour of the workpiece and its extrusion. The solid mechanics equations associated with the tools are solved in Lagangrian context. Thermal interactions between the workpiece are modelled and a fluid-structure interaction technique is employed to model the effect of the fluid traction load imposed by the workpiece on the tools. Two extrusion test cases are investigated and the results obtained show the potential of the model with regard to representing the physics of the process and the simulation time.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the 6th ESAFORM Conference on Material Forming, 28-30 April 2003, Salerno, Italy
Additional Information: [1] This poster presentation was given at the 6th ESAFORM Conference on Material Forming held from 28-30 April 2003 in Salerno, Italy.
Uncontrolled Keywords: extrusion, Eulerian, Lagrangian
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TN Mining engineering. Metallurgy
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
Related URLs:
Last Modified: 14 Oct 2016 09:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/650

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