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Updated: Jan 10, 2026

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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一种新的可理解的非侵入性灵敏度驱动的添加剂空气动力学形状优化 (AASO) 和使用格子博尔茨曼方法 (AASO-LBM) 的实现

F-J Granados-Ortiz1,2

  • 1Department of Engineering, University of Almeria, Almería, Spain. fjgranados@ual.es.

Scientific reports
|November 25, 2025
PubMed
概括

一种新的添加式空气动力学形状优化 (AASO) 方法,与格子波尔兹曼法 (LBM) 结合,可以轻松,非侵入性地优化稳定和不稳定的流体动力学问题. 这种AASO-LBM技术通过添加或删除材料来代修改形状,以提高空气动力学性能.

关键词:
增材形状优化 增材形状优化在 CFD 交易中,我们可以看到 CFD.格子 博尔茨曼 格子优化方法优化方法.灵敏度驱动的优化优化

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