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contributor authorM. W. Benner
contributor authorS. A. Sjolander
contributor authorS. H. Moustapha
date accessioned2017-05-09T00:21:58Z
date available2017-05-09T00:21:58Z
date copyrightApril, 2006
date issued2006
identifier issn0889-504X
identifier otherJOTUEI-28728#281_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/134845
description abstractA new empirical prediction method for design and off-design secondary losses in turbines has been developed. The empirical prediction method is based on a new loss breakdown scheme, and as discussed in Part I, the secondary loss definition in this new scheme differs from that in the conventional one. Therefore, a new secondary loss correlation for design and off-design incidence values has been developed. It is based on a database of linear cascade measurements from the present authors’ experiments as well as cases available in the open literature. The new correlation is based on correlating parameters that are similar to those used in existing correlations. This paper also focuses on providing physical insights into the relationship between these parameters and the loss generation mechanisms in the endwall region. To demonstrate the improvements achieved with the new prediction method, the measured cascade data are compared to predictions from the most recent design and off-design secondary loss correlations ( and , 1982, ASME J. Turbomach., 104, pp. 111-119, , , and , 1990, ASME J. Turbomach., 112, pp. 267–276) using the conventional loss breakdown. The Kacker and Okapuu correlation is based on rotating-rig and engine data, and a scaling factor is needed to make their correlation predictions apply to the linear cascade environment. This suggests that there are additional and significant losses in the engine that are not present in the linear cascade environment.
publisherThe American Society of Mechanical Engineers (ASME)
titleAn Empirical Prediction Method For Secondary Losses In Turbines—Part II: A New Secondary Loss Correlation
typeJournal Paper
journal volume128
journal issue2
journal titleJournal of Turbomachinery
identifier doi10.1115/1.2162594
journal fristpage281
journal lastpage291
identifier eissn1528-8900
keywordsCascades (Fluid dynamics)
keywordsBoundary layers
keywordsDesign
keywordsTurbines
keywordsDatabases
keywordsFlow (Dynamics)
keywordsMeasurement
keywordsAirfoils
keywordsEngines
keywordsThickness AND Mechanisms
treeJournal of Turbomachinery:;2006:;volume( 128 ):;issue: 002
contenttypeFulltext


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