An empirical prediction method for secondary losses in turbines - Part II: A new secondary loss correlation

A new empirical prediction method for design and off-design secondary losses in turbines has been developed. The empirical prediction method is based oil 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 oil a database of linear cascade measurements front 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 front the most recent design and off-design secondary loss correlations (Kacker, S. C and Okapuu, U., 1982, ASME J. Turbomach., 104, pp. 111-119, Moustapha, S. H., Kacker S. C., and Tremblay, B., 1990. ASME J. Eng. Power, 112, pp. 267-276) using the conventional loss breakdown. The Kacker and Okapuu correlation is based oil 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 ill the engine that are not present in the linear cascade environment.