AI-based shape optimization of galloping micro-power generators: exploring the benefits of curved surfaces.

ABSTRACT: The advent of flow micro-power generation has resparked the interest in researching the galloping instability with the objective of determining the shape of the bluff body that is most prone to galloping. Such shape, which is sought to maximize the efficacy of galloping micro-power generators (GMPGs), must possess a very low cut-in flow speed while achieving large-amplitude steady-state oscillations beyond it. Additionally, since GMPGs can operate in environments with fluctuating flow conditions, the optimal shape must also have a very short rise time to its steady-state amplitude. In this work, we utilize computational fluid dynamics in conjunction with machine learning to optimize the shape of the bluff body of GMPGs for both steady-state and transient performance. We investigate a conti

SUBMITTER: Alhussein H 

PROVIDER: S-EPMC10794239 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature