| Autor: |
Lagnoux, Agnès, Nguyen, T. M. Ngoc, Demory, Bruno, Henner, Manuel |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Journal de la Societe Fran{\c c}aise de Statistique, 2021, 162 (1), pp 22-45 |
| Druh dokumentu: |
Working Paper |
| Popis: |
In automotive industry, client needs evolve quickly in a competitiveness context, particularly, regarding the fan involved in the engine cooling module. This study has been done in cooperation with the automotive supplier Valeo. Here, we propose to use the Kriging interpolation and the Expected Improvement algorithm to provide new fan designs with high performances in terms of eciency. As far as we know, such a use of Kriging and Expected Improvement methodologies are innovative and provide really promising results. |
| Databáze: |
arXiv |
| Externí odkaz: |
|
