Open this publication in new window or tab >>2006 (English)In: NAFEMS Seminar: Prediction and Modelling of Failure Using FEA, 2006Conference paper, Published paper (Refereed)
Abstract [en]
Parts for trimmers, lawnmowers and chainsaws are often manufactured by die-casting in light alloys. These parts often have a complex geometry with thin-walled regions mixed with regions of non thin-walled geometry. This paper discusses the process of creating FEA-models from CAD-models of such parts. The objective of the FEA, in the particular case described in this paper, is to predict the performance of the complete products. Since a FEA-model of the complete product require extensive computational power to solve, it is necessary to keep the computational cost down by f. ex using shell-elements instead of solid-elements where applicable.
The creation of the shell-element mesh based on the solid CAD-model can be time consuming, especially if the CAD-model is complicated as often the case in real products. To aid in the creation of the shell-element mesh there is commercial software available for the extraction of the mid-surfaces in the CAD-model. In this paper two different software for mid-surface extraction are tested, both included in pre-processors for high-end FEA solvers. The software was tested on six different die-cast or injection moulded parts, all components in consumer products available on the market.
The result is that the software can extract the individual mid-surfaces well but the connections between them are often not created properly.
Furthermore the software cannot, as expected, deal with the regions that divert too much from being thin-walled. This paper present an idea on how treat these regions by retrieving suitable representations from a depository of representations known from experience to represent the geometry well and insert them in the appropriate position in the FEA-model automatically.
To show the feasibility of the idea a demonstrator program created in CATIA V5 using VBA is also presented in this paper.
Identifiers
urn:nbn:se:hj:diva-1726 (URN)
2007-08-032007-08-032010-01-12Bibliographically approved