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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.21830 |
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| _version_ | 1866912093078290432 |
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| author | Lagnoux, Agnès Nguyen, T. M. Ngoc Demory, Bruno Henner, Manuel |
| author_facet | Lagnoux, Agnès Nguyen, T. M. Ngoc Demory, Bruno Henner, Manuel |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_21830 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Expected Improvement applied to an industrialcontext -- Prediction of new geometries increasing theefficiency of fans Lagnoux, Agnès Nguyen, T. M. Ngoc Demory, Bruno Henner, Manuel Applications 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. |
| title | Expected Improvement applied to an industrialcontext -- Prediction of new geometries increasing theefficiency of fans |
| topic | Applications |
| url | https://arxiv.org/abs/2410.21830 |