The stator vanes of high-temperature organic Rankine cycle (ORC) radial-inflow turbines (RIT) operate under severe expansion ratios and the associated fluid-dynamic losses account for nearly two-thirds of the total losses generated within the blading passages. The efficiency of the machine can strongly benefit from specialized high-fidelity design methods able to provide shapes attenuating shock wave formation, consequently reducing entropy generation across the shock-wave and mitigating shock-wave boundary layer interaction. Shape optimization is certainly a viable option to deal with supersonic ORC stator design, but it is computationally expensive. In this work, a robust method to approach the problem at reduced computational cost is documented. The method consists of a procedure encompassing the method of characteristics (MoC), extended to nonideal fluid flow, for profiling the diverging part of the nozzle. The subsonic section and semibladed suction side are retrieved using a simple conformal geometrical transformation. The method is applied to design a supersonic ORC stator working with Toluene vapor, for which two blade shapes were already available. The comparison of fluid-dynamic performance clearly indicates that the MoC-Based method is able to provide the best results with the lowest computational effort, and is therefore suitable to be used in a systematic manner for drawing general design guidelines.
Design Methodology for Supersonic Radial Vanes Operating in Nonideal Flow Conditions
Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received August 21, 2017; final manuscript received April 17, 2018; published online November 14, 2018. Assoc. Editor: David Sánchez.
- Views Icon Views
- Share Icon Share
- Cite Icon Cite
- Search Site
Anand, N., Vitale, S., Pini, M., Otero, G. J., and Pecnik, R. (November 14, 2018). "Design Methodology for Supersonic Radial Vanes Operating in Nonideal Flow Conditions." ASME. J. Eng. Gas Turbines Power. February 2019; 141(2): 022601. https://doi.org/10.1115/1.4040182
Download citation file:
- Ris (Zotero)
- Reference Manager