自动网格收敛程序在多点喷射系统大涡模拟中的应用

S. Puggelli, J. Leparoux, Clément Brunet, R. Mercier, Luce Liberatori, S. Zurbach, G. Cabot, F. Grisch
{"title":"自动网格收敛程序在多点喷射系统大涡模拟中的应用","authors":"S. Puggelli, J. Leparoux, Clément Brunet, R. Mercier, Luce Liberatori, S. Zurbach, G. Cabot, F. Grisch","doi":"10.1115/gt2022-82272","DOIUrl":null,"url":null,"abstract":"\n Lean combustion is an attractive alternative to limit pollutants levels in order to meet the imposed limitations for the next generation of civil aero-engines. However, its implementation involves important technological questions related to the augmentation of the air dedicated to the combustion process. An effort on the injection system design is required and Large Eddy Simulation (LES) can be a useful tool in order to explore the design of novel concepts. At the state of the art, the validation of LES in high-pressure reactive conditions and in presence of the liquid phase is still limited. This shrinks the understanding and optimization of lean devices. The industrial project PERCEVAL, between Safran Tech and the CORIA laboratory, aims at extending the actual knowhow on lean combustion. Novel optical experimental techniques have been developed at CORIA to gain detailed information on industrial injection systems at high-pressure conditions. Within PERCEVAL, Safran Tech is in charge of the assessment of LES by using the experimental data-set collected at CORIA. In this framework, a novel Automatic Mesh Convergence (AMC) procedure, based on adaptive mesh refinement, has been developed in the YALES2 platform to speedup the calculation process. In the present paper, the AMC framework is described and then applied on the lean injection system designed at Safran Tech and tested during PERCEVAL. An analysis is carried out to evaluate the interest and gains offered by the AMC framework.","PeriodicalId":395231,"journal":{"name":"Volume 3B: Combustion, Fuels, and Emissions","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of an Automatic Mesh Convergence Procedure for the Large Eddy Simulation of a Multipoint Injection System\",\"authors\":\"S. Puggelli, J. Leparoux, Clément Brunet, R. Mercier, Luce Liberatori, S. Zurbach, G. Cabot, F. Grisch\",\"doi\":\"10.1115/gt2022-82272\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Lean combustion is an attractive alternative to limit pollutants levels in order to meet the imposed limitations for the next generation of civil aero-engines. However, its implementation involves important technological questions related to the augmentation of the air dedicated to the combustion process. An effort on the injection system design is required and Large Eddy Simulation (LES) can be a useful tool in order to explore the design of novel concepts. At the state of the art, the validation of LES in high-pressure reactive conditions and in presence of the liquid phase is still limited. This shrinks the understanding and optimization of lean devices. The industrial project PERCEVAL, between Safran Tech and the CORIA laboratory, aims at extending the actual knowhow on lean combustion. Novel optical experimental techniques have been developed at CORIA to gain detailed information on industrial injection systems at high-pressure conditions. Within PERCEVAL, Safran Tech is in charge of the assessment of LES by using the experimental data-set collected at CORIA. In this framework, a novel Automatic Mesh Convergence (AMC) procedure, based on adaptive mesh refinement, has been developed in the YALES2 platform to speedup the calculation process. In the present paper, the AMC framework is described and then applied on the lean injection system designed at Safran Tech and tested during PERCEVAL. An analysis is carried out to evaluate the interest and gains offered by the AMC framework.\",\"PeriodicalId\":395231,\"journal\":{\"name\":\"Volume 3B: Combustion, Fuels, and Emissions\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 3B: Combustion, Fuels, and Emissions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/gt2022-82272\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 3B: Combustion, Fuels, and Emissions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/gt2022-82272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

为了满足下一代民用航空发动机的要求,稀薄燃烧是限制污染物水平的一种有吸引力的替代方案。然而,它的实施涉及到与增加专用于燃烧过程的空气有关的重要技术问题。喷射系统的设计需要付出努力,而大涡模拟(LES)可以成为探索新概念设计的有用工具。在目前的技术水平上,在高压反应条件下和液相存在下对LES的验证仍然有限。这缩小了对精益设备的理解和优化。赛峰科技和CORIA实验室之间的工业项目PERCEVAL旨在扩展精益燃烧的实际知识。新的光学实验技术已经在CORIA开发,以获得在高压条件下工业喷射系统的详细信息。在PERCEVAL中,赛峰科技负责使用CORIA收集的实验数据集对LES进行评估。在此框架下,在YALES2平台上开发了一种新的基于自适应网格细化的自动网格收敛(AMC)过程,以加快计算过程。本文描述了AMC框架,并将其应用于赛峰科技设计的精益喷射系统,并在PERCEVAL期间进行了测试。对AMC框架提供的利益和收益进行了分析评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Application of an Automatic Mesh Convergence Procedure for the Large Eddy Simulation of a Multipoint Injection System
Lean combustion is an attractive alternative to limit pollutants levels in order to meet the imposed limitations for the next generation of civil aero-engines. However, its implementation involves important technological questions related to the augmentation of the air dedicated to the combustion process. An effort on the injection system design is required and Large Eddy Simulation (LES) can be a useful tool in order to explore the design of novel concepts. At the state of the art, the validation of LES in high-pressure reactive conditions and in presence of the liquid phase is still limited. This shrinks the understanding and optimization of lean devices. The industrial project PERCEVAL, between Safran Tech and the CORIA laboratory, aims at extending the actual knowhow on lean combustion. Novel optical experimental techniques have been developed at CORIA to gain detailed information on industrial injection systems at high-pressure conditions. Within PERCEVAL, Safran Tech is in charge of the assessment of LES by using the experimental data-set collected at CORIA. In this framework, a novel Automatic Mesh Convergence (AMC) procedure, based on adaptive mesh refinement, has been developed in the YALES2 platform to speedup the calculation process. In the present paper, the AMC framework is described and then applied on the lean injection system designed at Safran Tech and tested during PERCEVAL. An analysis is carried out to evaluate the interest and gains offered by the AMC framework.
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
自引率
0.00%
发文量
0
期刊最新文献
Modeling of Flashback With Different Blends of CH4 and H2 by Using Finite Rate Chemistry With Large Eddy Simulation Experimental and Numerical Advancement of the MGT Combustor Towards Higher Hydrogen Capabilities Flame Response of a Lean Premixed Swirl Flame to High Frequency Azimuthal Forcing FGM Applied to Grid Plate Flame Stabilisers for NOx Prediction in Non-Premixed Gas Turbine Combustion Characterization of Flame Behavior and Blowout Limits at Different Air Preheating Temperatures in Plasma Assisted Stabilized Combustor
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1