An Investigation in the Numerical Approach to Solve the Heat Transfer Phenomenon in Gas Turbine

Author:

Kumar Sourabh1,Amano Ryoichi S.2

Affiliation:

1. Jacobs Engineering Inc., Bingham Farm, MI 43067

2. Department of Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53212

Abstract

Abstract The gas turbine engine's extreme conditions need a robust design to produce efficient energy and for reliable operation. Flow and thermal analysis are essential for complex aerodynamic and thermodynamic interaction during turbine performance. There is a need to understand and predict the temperature to make the gas turbine engine efficient. This paper will outline the numerical methods applied for primary cooling methods in gas turbine blades. These include impinging leading-edge cooling, internal cooling in the midsection, and pin fin in the trailing edge. The main objective of this paper is to understand the numerical research done on improving gas turbine cooling. The emphasis will be on understanding the present computational fluid dynamics (CFD) techniques applied for gas turbine cooling and further development. This paper briefly outlines the new conjugate heat transfer–based CFD modeling techniques that have evolved over the years due to recent computing power development.

Publisher

ASME International

Subject

Geochemistry and Petrology,Mechanical Engineering,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference98 articles.

1. Kumar, S. , 2012, “Investigation of Heat Transfer and Flow Using Ribs Within Gas Turbine Blade Cooling Passage: Experimental and Hybrid LES/RANS Modeling,” Ph.D. thesis, University of Wisconsin-Milwaukee.

2. Heat Transfer Enhancement by Turbulent Impinging Jets Using a Universal Function Method;Kumagai;Enhanced Heat Transfer,2002

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3