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Cites:

Information Journal Paper

Title

Multiobjective Design Optimization of a Mach 6 Hypersonic Nozzle of a Shock Tunnel

Pages

  199-206

Abstract

 In this paper, a systematic approach is considered to Design an optimal Hypersonic Nozzle of a Shock Tunnel. After assigning the requirements and accomplishment of conceptual and preliminary design phases, a modern optimization strategy based on genetic algorithm and a CFD solver has been used to fine tune the nozzle convergent divergent contour. In this way, parameterization of the overall nozzle contour was done with a few control points and a Bezier curve. This arrangement showed a good flexibility to generate appropriate curves for nozzle shape. Design objectives were evaluated with a N-S viscous solver with a two equation turbulence model. Three objective functions were scalerized in a term with summation of weighted parameters: minimum total pressure loss, Mach number uniform distribution along test section and minimum axial flow deviation. A number of geometrical and physical constraints such as nozzle length, throat area, inlet and outlet diameters and inlet boundary conditions were also considered and finally, an optimized nozzle contour showed a significant improvement of about 3% in quality of the Mach 6 flow in the test section.

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  • Cite

    APA: Copy

    Malekipour, Shahed, & EBRAHIMI, MOHAMMAD. (2018). Multiobjective Design Optimization of a Mach 6 Hypersonic Nozzle of a Shock Tunnel. MODARES MECHANICAL ENGINEERING, 18(9 ), 199-206. SID. https://sid.ir/paper/179450/en

    Vancouver: Copy

    Malekipour Shahed, EBRAHIMI MOHAMMAD. Multiobjective Design Optimization of a Mach 6 Hypersonic Nozzle of a Shock Tunnel. MODARES MECHANICAL ENGINEERING[Internet]. 2018;18(9 ):199-206. Available from: https://sid.ir/paper/179450/en

    IEEE: Copy

    Shahed Malekipour, and MOHAMMAD EBRAHIMI, “Multiobjective Design Optimization of a Mach 6 Hypersonic Nozzle of a Shock Tunnel,” MODARES MECHANICAL ENGINEERING, vol. 18, no. 9 , pp. 199–206, 2018, [Online]. Available: https://sid.ir/paper/179450/en

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