Optimization of stamping processes aiming at maximal process stability
| Autor: | Karl Kuzman, Gašper Gantar |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Mathematical optimization
Engineering Process modeling business.industry Probabilistic-based design optimization Monte Carlo method Metals and Alloys Process (computing) Stability (learning theory) Stamping Industrial and Manufacturing Engineering Computer Science Applications Modeling and Simulation Ceramics and Composites Stochastic optimization Material properties business |
| Zdroj: | Journal of Materials Processing Technology. 167:237-243 |
| ISSN: | 0924-0136 |
| DOI: | 10.1016/j.jmatprotec.2005.05.027 |
| Popis: | In industrial practice the input parameters of a stamping system (material properties, friction conditions, machine settings, etc.) scatter considerably during production. In this paper, an approach for the determination of maximal stability of production process with regard to the uncontrollable scatter of the input parameters is described. The optimization procedure integrates process modeling and simple stochastic optimization by Monte Carlo simulations for the evaluation of the stability of the stamping process. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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