An Analysis of the Transformation Requirements for Digital Mock-Ups of Structural Assembly Simulations
| Autor: | Flavien Boussuge, Jean-Claude Léon, Lionel Fine, Stefanie Hahmann |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
0209 industrial biotechnology
Computer science Process (engineering) Simulation modeling 020207 software engineering Shape transformation 02 engineering and technology Industrial engineering Set (abstract data type) 020901 industrial engineering & automation Transformation (function) Component (UML) 0202 electrical engineering electronic engineering information engineering Idealization Key (cryptography) |
| Zdroj: | Proceedings of the Eighth International Conference on Engineering Computational Technology. |
| ISSN: | 1759-3433 |
| DOI: | 10.4203/ccp.100.30 |
| Popis: | In order to set up a framework dedicated to the transformation of Digital Mock-Ups (DMUs) into simulation models, this paper exposes the problematic of simulation assembly model preparation. It analyses the differences between standalone component and assembly preparations to justify the reasons of time consuming tasks specific to assemblies. To this end, the content of a DMU is analyzed to explain why information about interfaces between components is missing in DMUs and how to derive the shape idealization of industrial assembly models, resulting in categories of DMU transformations. There, repetitive configurations emerge as a key issue to process large assembly models and the use of functional data appears to be critical to automate assembly transformations. Then, starting from the concepts of simulation objectives, user-specified hypotheses, connections between them and shape transformation categories are analyzed to extract dependencies. As a result of these dependencies, a model preparation methodology is derived that address the shape transformation categories specific to assemblies. This methodology is already a means to improve the efficiency of an assembly simulation preparation process. |
| Databáze: | OpenAIRE |
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