The present work compares two numerical tools to predict the geometrical deviations of an assembly constituted by thin laminates in composite material. The first one is based on a virtual representation of both the manufacturing and the assembling processes, able to generate the variability meta-model for each component to be used in a skin-based assembly. The second one estimates the sensitivity matrix that connects the components’ variations to the assembly’s variations in the method of influence coefficients (MIC). They were experimentally verified on a case study. The comparison underlined the critical issue of both the tools.
Two numerical tools for geometrical deviation management in composite assemblies: a comparison
Polini W.
;Corrado A.
2021-01-01
Abstract
The present work compares two numerical tools to predict the geometrical deviations of an assembly constituted by thin laminates in composite material. The first one is based on a virtual representation of both the manufacturing and the assembling processes, able to generate the variability meta-model for each component to be used in a skin-based assembly. The second one estimates the sensitivity matrix that connects the components’ variations to the assembly’s variations in the method of influence coefficients (MIC). They were experimentally verified on a case study. The comparison underlined the critical issue of both the tools.File in questo prodotto:
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