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  Published Paper Details:

  Paper Title

Turbine blade optimization using Response Surface Optimization Method with Multi-Objective Genetic Algorithm in Ansys DesignXplorer

  Authors

  Kedaranath Mahapatro,  Y.M.V.V. Pavan Kalyan,  L.D.V. Venkataramana,  D. Sai Kumar

  Keywords

Steam turbine blade, Optimization, Response surface, Genetic Algorithm, Chrome steel, Hastelloy, Inconel 600.

  Abstract


In the context of steam turbines, creep becomes a critical concern for components operating under high temperatures and stress. The turbine blades operate in challenging conditions, enduring high temperatures, mechanical stresses, and repetitive loads. The main goal is to decrease the static and thermal stresses of reaction turbine blades, achieved by reducing important factors such as total deformation, equivalent stress, and total heat flux. Static and thermal analyses are conducted on three distinct materials: chrome steel, Hastelloy, and Inconel 600. Response surface optimization, combining Kriging as a response surface model and a multi-objective genetic algorithm (MOGA), efficiently explores the design space. Kriging provides a smooth approximation of complex system behavior, while MOGA identifies Pareto-optimal solutions for multiple objectives. The findings reveal significant improvements in optimized parameters, indicating a decrease of 22.15% in the maximum value of total deformation, 16.88% in the maximum value of equivalent stress, and 5.87% in the total heat flux when compared to the original values. Notably, Inconel 600 emerges as the material that has less stress and heat flux compared to chrome steel and Hastelloy.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2403682

  Paper ID - 253354

  Page Number(s) - f700-f711

  Pubished in - Volume 12 | Issue 3 | March 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Kedaranath Mahapatro,  Y.M.V.V. Pavan Kalyan,  L.D.V. Venkataramana,  D. Sai Kumar,   "Turbine blade optimization using Response Surface Optimization Method with Multi-Objective Genetic Algorithm in Ansys DesignXplorer", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.f700-f711, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403682.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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