{"title":"Body Shape Optimisation for Enhanced Aerodynamic Cooling","authors":"A. I. Aleksyuk","doi":"10.1134/s0015462823602437","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The study considers a two-dimensional flow of a viscous perfect gas around thermally insulated bodies. Using a composite Bézier curve to describe various body shapes and leveraging a reinforcement learning algorithm, we identify optimal shapes that minimise two distinct objective functions reflecting local or global surface temperature. We show that even at the Reynolds number <span>\\({\\text{Re}} = 200\\)</span>, Mach number M = 0.4, and Prandtl number <span>\\({\\text{Pr}} = 0.72\\)</span>, one can observe surface temperatures dropping below the free-stream value—a phenomenon known as aerodynamic cooling or the Eckert–Weise effect. The lowest local temperatures are attained at the rear of slender cross-flow plates, exhibiting a time-averaged recovery factor of –0.26, contrasting with 0.31 observed in the canonical flow around a circular cylinder. However, such shapes are not optimal in terms of the surface-averaged temperature of the body—boomerang-like shapes yield the lowest overall temperatures, with a global recovery factor of 0.34, in contrast to 0.63 for the circular cylinder. By independently varying the frontal and rear parts of the body, we propose a rationale behind these optimal shapes.</p>","PeriodicalId":560,"journal":{"name":"Fluid Dynamics","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fluid Dynamics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1134/s0015462823602437","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MECHANICS","Score":null,"Total":0}
引用次数: 0
Abstract
The study considers a two-dimensional flow of a viscous perfect gas around thermally insulated bodies. Using a composite Bézier curve to describe various body shapes and leveraging a reinforcement learning algorithm, we identify optimal shapes that minimise two distinct objective functions reflecting local or global surface temperature. We show that even at the Reynolds number \({\text{Re}} = 200\), Mach number M = 0.4, and Prandtl number \({\text{Pr}} = 0.72\), one can observe surface temperatures dropping below the free-stream value—a phenomenon known as aerodynamic cooling or the Eckert–Weise effect. The lowest local temperatures are attained at the rear of slender cross-flow plates, exhibiting a time-averaged recovery factor of –0.26, contrasting with 0.31 observed in the canonical flow around a circular cylinder. However, such shapes are not optimal in terms of the surface-averaged temperature of the body—boomerang-like shapes yield the lowest overall temperatures, with a global recovery factor of 0.34, in contrast to 0.63 for the circular cylinder. By independently varying the frontal and rear parts of the body, we propose a rationale behind these optimal shapes.
期刊介绍：
Fluid Dynamics is an international peer reviewed journal that publishes theoretical, computational, and experimental research on aeromechanics, hydrodynamics, plasma dynamics, underground hydrodynamics, and biomechanics of continuous media. Special attention is given to new trends developing at the leading edge of science, such as theory and application of multi-phase flows, chemically reactive flows, liquid and gas flows in electromagnetic fields, new hydrodynamical methods of increasing oil output, new approaches to the description of turbulent flows, etc.
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