Shahrood University of Technology Journal of Solid and Fluid Mechanics 2251-9475 8 1 2018 03 21 Flow field modeling and performance improving of an axial turbine's using Adjoint method Flow field modeling and performance improving of an axial turbine's using Adjoint method 127 133 1217 10.22044/jsfm.2017.4712.2201 FA H. Jafari Aerodynamics & Propulsion, Aerospace Engineering, Malek Ashtar University O Tech., Tehran, Iran H. Parhizkar Aerodynamics & Propulsion, Aerospace Engineering, Malek Ashtar University Of Tech. , Tehran, Iran R. Aghaei Tog Mechanical & Aerospace Engineering, Engineering Faculty, ., Science & Research branch of Islamic Azad Univ., Tehran, Iran R. Mardani Aerodynamics & propulsion, Aero. Eng., Sharif Univ. of Tech., Tehran, Iran Journal Article 2016 08 26 In recent years, optimization of Turbomachinery performance parameters is one of the most important topics for researchers and industrial scholars. The aerodynamic optimization of blades has been done by variety of algorithms and methods until now; however new tools have better suggestions in this field.<br /> This paper reports a 3D numerical analysis and geometrical optimization of fully turbulent flow around a turbine's rotor blades. Numerical analysis is done using the AUSM+ scheme and SST k –ω turbulence model. An Ad-joint Algorithm gradient method is used in geometrical aerodynamic optimization of blades. This algorithm has been used previously for 2D models as build-in codes and for 3D models is done for the first time in this research.<br /> The total to total isentropic efficiency as objective function and other performance parameters have a good agreement with the experimental measurements in validation process. Through the optimization process, the objective function is improved by 0.18, which in comparison with others' reported works is a good progress in performance improvement. In recent years, optimization of Turbomachinery performance parameters is one of the most important topics for researchers and industrial scholars. The aerodynamic optimization of blades has been done by variety of algorithms and methods until now; however new tools have better suggestions in this field.<br /> This paper reports a 3D numerical analysis and geometrical optimization of fully turbulent flow around a turbine's rotor blades. Numerical analysis is done using the AUSM+ scheme and SST k –ω turbulence model. An Ad-joint Algorithm gradient method is used in geometrical aerodynamic optimization of blades. This algorithm has been used previously for 2D models as build-in codes and for 3D models is done for the first time in this research.<br /> The total to total isentropic efficiency as objective function and other performance parameters have a good agreement with the experimental measurements in validation process. Through the optimization process, the objective function is improved by 0.18, which in comparison with others' reported works is a good progress in performance improvement.

https://jsfm.shahroodut.ac.ir/article_1217_269ddad9727d02819f14490224606ea5.pdf