基于CFD仿真的改进型地面车载涡发生器和车底扩散器气动外形优化及气动声学分析

IF 0.6 4区 工程技术 Q4 MECHANICS
A. Sumnu
{"title":"基于CFD仿真的改进型地面车载涡发生器和车底扩散器气动外形优化及气动声学分析","authors":"A. Sumnu","doi":"10.1134/S001546282460545X","DOIUrl":null,"url":null,"abstract":"<p>Ground vehicle studies usually aim to reduce fuel consumption by applying special airflow control methods or modifications. The main aim of this project is to improve airflow around, especially the rear region of the body, and apply optimization to drag reduction. This work is relatively unique since the vortex generator (VG) is used as a passive control device by mounting on the slant surface of the body and the rear underbody diffuser is applied with rounded rear edges of the body and optimization is applied by using the genetic algorithm (GA) for all parameters of control devices. The aero-acoustic analysis is also performed using broadband noise source model and acoustic improvement is indicated by comparing baseline and optimized bodies. Few studies investigate all these analyses together in the literature. In this study, an analysis is performed using Computational Fluid Dynamics (CFD) simulation in the Fluent software, and validation is achieved by comparing experimental data reported in the literature. After mounting VGs and making modifications, the CFD solution is repeated using the <i>k–k</i><sub><i>L</i></sub>–ω transition turbulence model at 1.39 × 10<sup>6</sup> and 2.78 × 10<sup>6</sup> Reynolds numbers. The optimization process is carried out using nine design parameters of the vortex generator and the diffuser. The Central Composite Design (CCD) is used and 147 design points are obtained for the Design of Experiment (DoE). The genetic algorithm is then applied to find optimum design variables for minimizing the drag under specified constraints and airflow conditions. Finally, the results of the investigation of the modified and optimized body revealed that a significant reduction in the drag is achieved at about 13.28 and 19.16% for 1.39 × 10<sup>6</sup> and 2.78 × 10<sup>6</sup> Reynolds numbers, respectively, when compared with the baseline body. The results show that the size of the vortex is reduced and its formation on the slant surface is eliminated. In addition, it can be stated that aerodynamic noise is significantly reduced when observing the acoustic power level contours for baseline and optimized bodies.</p>","PeriodicalId":560,"journal":{"name":"Fluid Dynamics","volume":"60 3","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of the Aerodynamic Shape and Aero-Acoustic Analysis of a Modified Ground Vehicle Mounted Vortex Generators and Underbody Diffuser Using CFD Simulation\",\"authors\":\"A. Sumnu\",\"doi\":\"10.1134/S001546282460545X\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Ground vehicle studies usually aim to reduce fuel consumption by applying special airflow control methods or modifications. The main aim of this project is to improve airflow around, especially the rear region of the body, and apply optimization to drag reduction. This work is relatively unique since the vortex generator (VG) is used as a passive control device by mounting on the slant surface of the body and the rear underbody diffuser is applied with rounded rear edges of the body and optimization is applied by using the genetic algorithm (GA) for all parameters of control devices. The aero-acoustic analysis is also performed using broadband noise source model and acoustic improvement is indicated by comparing baseline and optimized bodies. Few studies investigate all these analyses together in the literature. In this study, an analysis is performed using Computational Fluid Dynamics (CFD) simulation in the Fluent software, and validation is achieved by comparing experimental data reported in the literature. After mounting VGs and making modifications, the CFD solution is repeated using the <i>k–k</i><sub><i>L</i></sub>–ω transition turbulence model at 1.39 × 10<sup>6</sup> and 2.78 × 10<sup>6</sup> Reynolds numbers. The optimization process is carried out using nine design parameters of the vortex generator and the diffuser. The Central Composite Design (CCD) is used and 147 design points are obtained for the Design of Experiment (DoE). The genetic algorithm is then applied to find optimum design variables for minimizing the drag under specified constraints and airflow conditions. Finally, the results of the investigation of the modified and optimized body revealed that a significant reduction in the drag is achieved at about 13.28 and 19.16% for 1.39 × 10<sup>6</sup> and 2.78 × 10<sup>6</sup> Reynolds numbers, respectively, when compared with the baseline body. The results show that the size of the vortex is reduced and its formation on the slant surface is eliminated. In addition, it can be stated that aerodynamic noise is significantly reduced when observing the acoustic power level contours for baseline and optimized bodies.</p>\",\"PeriodicalId\":560,\"journal\":{\"name\":\"Fluid Dynamics\",\"volume\":\"60 3\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2025-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fluid Dynamics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1134/S001546282460545X\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MECHANICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fluid Dynamics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1134/S001546282460545X","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

摘要

地面车辆的研究通常旨在通过采用特殊的气流控制方法或改造来降低燃料消耗。该项目的主要目的是改善周围的气流,特别是身体后部的气流,并应用优化来减少阻力。这项工作是相对独特的,因为涡发生器(VG)被用作被动控制装置,安装在车身的斜面上,后车身下扩散器被应用于车身的圆形后边缘,并通过遗传算法(GA)对控制装置的所有参数进行优化。采用宽频带噪声源模型进行气动声学分析,并通过对比基线和优化体的声学改善情况。很少有研究在文献中一起调查所有这些分析。本研究在Fluent软件中使用计算流体动力学(Computational Fluid Dynamics, CFD)仿真进行分析,并通过对比文献报道的实验数据进行验证。在安装VGs并进行修改后,使用k-kL -ω转捩湍流模型在1.39 × 106和2.78 × 106雷诺数下重复CFD解。利用涡发生器和扩散器的9个设计参数进行了优化。采用中心复合设计(CCD),得到147个设计点进行实验设计(DoE)。在给定的约束条件和气流条件下,应用遗传算法求出最小化阻力的最优设计变量。最后,对改进和优化后的机身进行了研究,结果表明,在雷诺数为1.39 × 106和2.78 × 106的情况下,与基线机身相比,阻力分别显著降低了13.28%和19.16%。结果表明,该方法减小了涡旋的尺寸,消除了涡旋在斜面上的形成。此外,通过观察基线体和优化体的声功率级轮廓可以看出,气动噪声显著降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimization of the Aerodynamic Shape and Aero-Acoustic Analysis of a Modified Ground Vehicle Mounted Vortex Generators and Underbody Diffuser Using CFD Simulation

Optimization of the Aerodynamic Shape and Aero-Acoustic Analysis of a Modified Ground Vehicle Mounted Vortex Generators and Underbody Diffuser Using CFD Simulation

Ground vehicle studies usually aim to reduce fuel consumption by applying special airflow control methods or modifications. The main aim of this project is to improve airflow around, especially the rear region of the body, and apply optimization to drag reduction. This work is relatively unique since the vortex generator (VG) is used as a passive control device by mounting on the slant surface of the body and the rear underbody diffuser is applied with rounded rear edges of the body and optimization is applied by using the genetic algorithm (GA) for all parameters of control devices. The aero-acoustic analysis is also performed using broadband noise source model and acoustic improvement is indicated by comparing baseline and optimized bodies. Few studies investigate all these analyses together in the literature. In this study, an analysis is performed using Computational Fluid Dynamics (CFD) simulation in the Fluent software, and validation is achieved by comparing experimental data reported in the literature. After mounting VGs and making modifications, the CFD solution is repeated using the k–kL–ω transition turbulence model at 1.39 × 106 and 2.78 × 106 Reynolds numbers. The optimization process is carried out using nine design parameters of the vortex generator and the diffuser. The Central Composite Design (CCD) is used and 147 design points are obtained for the Design of Experiment (DoE). The genetic algorithm is then applied to find optimum design variables for minimizing the drag under specified constraints and airflow conditions. Finally, the results of the investigation of the modified and optimized body revealed that a significant reduction in the drag is achieved at about 13.28 and 19.16% for 1.39 × 106 and 2.78 × 106 Reynolds numbers, respectively, when compared with the baseline body. The results show that the size of the vortex is reduced and its formation on the slant surface is eliminated. In addition, it can be stated that aerodynamic noise is significantly reduced when observing the acoustic power level contours for baseline and optimized bodies.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Fluid Dynamics
Fluid Dynamics MECHANICS-PHYSICS, FLUIDS & PLASMAS
CiteScore
1.30
自引率
22.20%
发文量
61
审稿时长
6-12 weeks
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信