1999
DOI: 10.1002/(sici)1097-0207(19990130)44:3<313::aid-nme502>3.0.co;2-v
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Coarsening of mesh models for representation of rigid objects in finite element analysis

Abstract: SUMMARYFinite element modelling of processes, where geometry of the component evolves with time, usually involves checks/computations for contact between objects. Examples of these kinds of processes are sheet forming, bulk forming (forging, extrusion, rolling), etc. In some cases, it may be acceptable not to perform any specific analysis on the dies and treat them as being rigid. In such cases, it is best to represent mesh models for the rigid objects with as few elements as possible. This significantly reduc… Show more

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Cited by 11 publications
(9 citation statements)
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“…In that case elastic body division as proposed in Ref. [22] should be considered to minimize the number of elements and calculation time.…”
Section: Numerical Modelmentioning
confidence: 99%
“…In that case elastic body division as proposed in Ref. [22] should be considered to minimize the number of elements and calculation time.…”
Section: Numerical Modelmentioning
confidence: 99%
“…Similar procedures have been described by many authors [13,14,24,25] and only a brief description of the technique is given. We experienced that the local transformation approach is numerically robust.…”
Section: Mesh Optimization Proceduresmentioning
confidence: 99%
“…Thereafter, nodes are sorted according to their probability to be removed from the initial mesh. Among these techniques, a recent paper of Hattangady [14] presents also a coarsening technique of mesh models for representation of rigid objects in "nite element analysis. The basic idea is to reduce signi"cantly the time spent by the solver by representing the mesh model of the rigid objects with as few elements as possible.…”
Section: Introductionmentioning
confidence: 99%
“…We decided to adapt the mesh by using a local remeshing strategy. Similar procedures have been described by many authors [13,14,24,25] and only a brief description of the technique is given. We experienced that the local transformation approach is numerically robust.…”
Section: Mesh Optimization Proceduresmentioning
confidence: 99%