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Parametric Variational Analysis of Compliant Sheet Metal Assemblies with Shell Elements

Authors :
Stanislao Patalano
Salvatore Gerbino
Pasquale Franciosa
Gerbino, Salvatore
Franciosa, Pasquale
Patalano, Stanislao
R Teti
Franciosa, P
Patalano, P.
Publication Year :
2015

Abstract

One of most demanding tasks in the manufacturing field is controlling the variability of parts as it may affect strongly the deliverability of key characteristics defined at the final (product) assembly level. Current CAT systems offer a good solution to the tolerance analysis/synthesis task, but to handle flexible objects with shape errors more effort is needed to include methods able to capture the elastic behaviour of parts that adds more variability on the final assembly. Usually, sheet metal assemblies require dedicated fixtures and clamps layout to control the gap between parts in the specific location where a join must be placed. Due to the variability of parts the position of clamps can also be varied. The paper describes a FEM-based method able take into account part flexibility and shape error to parametrically analyse sheet metal assemblies by acting on some key parameters to look for the optimal clamp layout that guarantee the gap between parts to be under control after joining parts together. This method offers, with respect to commercial solutions, the ability to model fixtures, clamps and different joint types with no matter on the mesh nodes’ position. Locations of such elements are based on the shape functions defined at element (shell) mesh level and modelled as local constraints. So the user can generate a mesh without a previous knowledge of the exact positions of clamps, for example. This allows to conduit a faster parametric analysis without remeshing the surfaces and with no need to physically model the clamps. An aeronautic case study is described with a four-part assembly riveted on a quite complex fixture by using several clamps.

Details

Language :
English
ISSN :
22128271
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....c20dbb690c169bbcfa4201715b30d166