Optimization of thick sheet clinching tools using principal component analysis
| Autor: | Christian Kraus, Welf-Guntram Drossel, Thomas Kropp, Christian Schwarz |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Variables Computer science Mechanical Engineering media_common.quotation_subject Process (computing) 02 engineering and technology Industrial and Manufacturing Engineering Computer Science Applications Functional relation Clinching 020901 industrial engineering & automation Quality (physics) Control and Systems Engineering Principal component analysis Joint (geology) Algorithm Software media_common |
| Zdroj: | The International Journal of Advanced Manufacturing Technology. 106:471-479 |
| ISSN: | 1433-3015 0268-3768 |
| Popis: | A new optimization method based on the principal component analysis (PCA) is presented for the identification of geometry parameters in tool design for mechanical clinching process of thick sheets. By applying PCA in joining, numerous dependent variables relevant for quality can be approximated with a very low number of statistical eigenmodes. Subsequently, the eigenmodes are used instead of the actual dependent variable for mathematically characterising the entire joint. This method offers the possibility of forming a direct functional relation between the tool parameters and the adherend geometries. Thus, the quality of a joint can be optimized by a generic algorithm (GA). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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