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3 edition of Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance found in the catalog.

Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance

Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance

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  • 30 Currently reading

Published by National Aeronautics and Space Administration, Ames Research Center, National Technical Information Service, distributor in Moffett Field, Calif, [Springfield, Va .
Written in English

    Subjects:
  • Supersonic turbines.,
  • Navier-Stokes equation.,
  • Fluid dynamics.,
  • Design analysis.,
  • Aerodynamic characteristics.

  • Edition Notes

    Other titlesNeural net based redesign of transonic turbines for improved unsteady aerodynamic performance.
    StatementNateri K. Madavan and Man Mohan Rai, Frank W. Huber.
    SeriesNASA/TM -- 1998-208754., NASA technical memorandum -- 208754.
    ContributionsRai, Man Mohan., Huber, Frank W., Ames Research Center.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL18134349M

    Madavan, N. K., and Rai, M. M., “Neural Net-Based Redesign of a Gas Generator Turbine for Improved Unsteady Aerodynamic Performance,” AIAA Paper No. , 35Ih AIAAJASMEJSAWASEE Joint Propulsion Conference and Exhibit, Los Angeles, CA, Jun. , * cited by examiner. With the increasing importance of renewable energy, airfoil design, specifically for wind turbines, has become a fundamental issue. Although airfoil optimization based on genetic algorithms has been performed by several different research groups in the past decade,,,, most of the available literature is applied to aircraft by:

    A detailed numerical analysis of secondary flows in a transonic turbine is presented in this paper. The turbine stage is optimized by mitigating secondary flow through the method of non-axisymmetric endwall design. An automated optimization platform of NUMECA/Design3D was coupled with Euranus as a flow solver for the numerical by: 1.   Low pressure turbine airfoils of the present generation usually operate at subsonic conditions, with exit Mach numbers of about To reduce the costs of experimental programs it can be convenient to carry out measurements in low speed tunnels in order to determine the cascades by: 4.

    A method and system for data modeling that incorporates the advantages of both traditional response surface methodology (RSM) and neural networks is disclosed. The invention partitions the parameters into a first set of s simple parameters, where observable data are expressible as low order polynomials, and c complex parameters that reflect more complicated variation of the observed by: This method was also used in Ref. 13 to redesign a generic gas generator turbine to improve its unsteady aerodynamic performance. Although the turbine was originally designed to operate in the high-subsonic regime, an unsteady analysis showed very strong interaction effects including an unsteady shock in the axial gap.


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Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance Download PDF EPUB FB2

Neural Net-Based Redesign of Transonic Turbines for Improved Unsteady Aerodynamic Performance NATERIK. MADAVAN, MAN MOHAN RAI, and FRANK W.

HUBER* Ames Research Center Summary Introduction A recently developed neural net-based aerody-namic design procedure is used in the redesign of a transonic turbine stage to improve its unsteady aerodynamic performance. The redesign procedure.

A recently developed neural net-based aerody-namic design procedure is used in the redesign of a transonic turbine stage to improve its unsteady aerodynamic performance. The redesign procedure used incorporates the advantages of both tradi-tional response surface methodology (RSM) and neural networks by employing a strategy calledFile Size: 1MB.

Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance (OCoLC) Online version: Madavan, Nateri K. Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance (OCoLC) Material Type: Government publication, National government publication: Document Type: Book.

A recently developed neural net-based aerodynamic design procedure is used in the redesign of a transonic turbine stage to improve its unsteady aerodynamic performance. The redesign procedure used incorporates the advantages of both traditional response surface methodology (RSM) and neural networks by employing a strategy called parameter-based partitioning of the design.

A recently developed neural net-based aerodynamic design procedure is used in the redesign of a transonic turbine stage to improve its unsteady aerodynamic performance. The redesign procedure used incorporates the advantages of both traditional response surface methodology and neural networks by employing a strategy called parameter-based partitioning of the design space.

Aerodynamic design of turbines is a process of progressive design Neural net-based redesign of a gas generator turbine for improved unsteady aerodynamic performance.

AIAA Paper Google Scholar. Rai, M. M., Madavan, N. K., & Huber, F. Improving the unsteady aerodynamic performance of transonic turbines using neural Author: Zhengping Zou, Songtao Wang, Huoxing Liu, Weihao Zhang.

Madavan NK, Rai MM, Huber FW () Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance.

AIAA/SAE/ASME/ASEE 35th joint propulsion conference, AIAA 99– Google ScholarCited by: 2. The improvement of transonic aerofoil aerodynamic performance is currently attracting much research since the modern transport aircraft is required to have a longer range and endurance.

Increasing the aerofoil aerodynamic performance can also reduce the amount of fuel used for the aircraft to cover a certain range flight. A recently developed neural network-based aerodynamic design procedure is used in the redesign of a gas-generator turbine stage to improve its unsteady aerodynamic performance.

Detailed Studies on Aerodynamic Performance and Unsteady Flow Behaviors of a Single Turbine Stage with Variable Rotor-Stator Axial Gap Mamoru KIKUCHI 1, Ken-ichi FUNAZAKI, Kazutoyo YAMADA1 and Hideaki SATO2 1Department of Mechanical Engineering Iwate University Ueda, Morioka-shi, IwateJAPAN E-mail:[email protected] Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance (OCoLC) Microfiche version: Madavan, Nateri K.

Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance (OCoLC) Material Type. In the present work the aerodynamic performances of an innovative rotor blade row have been experimentally investigated.

Measurements have been carried out in a large scale low speed single stage cold flow facility at a Reynolds number typical of aeroengine cruise, under nominal and off-design conditions. The time-mean blade aerodynamic loadings have been measured at three radial positions Cited by: 1.

Aerodynamic Analysis and Optimization of a Transonic Axial Compressor with Casing Grooves to Improve Operating Stability Article in Aerospace Science and Technology 29(1) July with. designs toward single-stage, transonic high-pressure turbines.

The rotor/stator interaction of transonic turbine stages has been of particular interest recently because of the additional time-average losses and unsteady interactions caused by the trail-ing edge shock systems that exist at supersonic exit conditions (e.g., Clark et al.,   Stator/rotor interaction in a transonic turbine.

Michael B. Giles ; Redesigning Gas-Generator Turbines for Improved Unsteady Aerodynamic Performance Using Neural Networks. Neural net-based redesign of a gas generator turbine for improved unsteady aerodynamic by: Aerodynamic Performance of a Transonic Turbine Blade Passage in Presence of Gas Turbines, Transonic Cascade, Secondary Flow, Upstream Purge Slot, Mateface gap, Endwall Contouring Siemens is an initiative in that direction and one of the thrust areas was to aim for improved thermal and aerodynamic performance in gas turbines.

Investigation of the Unsteady Rotor Aerodynamics in a Transonic Turbine Stage Article in Journal of Turbomachinery (1) January with 56 Reads How we measure 'reads'.

Attempts to mitigate the unsteady vane–rotor shock interaction could be classified into improved designs through a better physical understanding, active control systems, and numerical optimizations with neural networks.Unsteady turbine stage computations with high fidelity are however extremely expensive and their implementation together with optimization algorithms is limited Cited by:   Influence of Vane-Blade Spacing on Transonic Turbine Stage Aerodynamics: Part II—Time-Resolved Data and Analysis 1 October | Journal of Turbomachinery, Vol.No.

4 Neural net-based redesign of a gas generator turbine for improved unsteady aerodynamic performanceCited by:   This paper presents an aerodynamic optimum design method for transonic turbine cascades based on the Genetic Algorithms coupled to the inviscid flow Euler solver and the boundary-layer calculation.

The Genetic Algorithms control the evolution of a population of cascades towards an optimum design. The fitness value of each string is evaluated using the flow by:.

NN-based aerodynamic design procedure is applied to the redesign of a transonic turbine stage to improve its unsteady aerodynamic performance by Madavan et al. It is illustrated that using an optimization procedure combining the advantages of NN- and Cited by: Neural net-based redesign of transonic turbines for improved unsteady aerodynamic performance / by: Madavan, Nateri K., et al.

Published: () Comparison of various supersonic turbine tip designs to minimize aerodynamic loss and tip heating by: Shyam, Vikram.Request PDF | Axisymmetric hub-endwall profile optimization for a transonic fan to improve aerodynamic performance based on an integrated design optimization method | .