Algorithm development for researching and optimizing the flowing cavity parameters of a vortex jet device

The paper is devoted to the problem formulation for multi-criteria optimization of the flow cavity of a vortex jet device, which allows determining the geometric parameters of the flow cavity to the given thermodynamic parameters. The paper discusses the advantages and disadvantages of mechanical pr...

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Hauptverfasser: Uss, A. U., Pugachuk, A. S., Chernyshev, A. V.
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:The paper is devoted to the problem formulation for multi-criteria optimization of the flow cavity of a vortex jet device, which allows determining the geometric parameters of the flow cavity to the given thermodynamic parameters. The paper discusses the advantages and disadvantages of mechanical pressure regulators and pressure control devices without moving parts. In terms of logical thinking, for using a vortex jet device (with a vortex valve) as a pressure regulator is given. The principle of operation of a vortex jet device is described. Patent research and review of the scientific and technical literature of existing vortex valves. It is proposed to develop a design technique for the geometry of vortex jet devices based on multi-criteria optimization of the geometric parameters of the flow cavity. In the course of the work, a method is described for choosing optimality criteria, conditions for the termination of the search, a design scheme for a vortex jet device is proposed. A parametric generalized flow cavity of a vortex jet device has been created. To design the flow cavity of the vortex jet device, the method of investigation of the parameter space is used. A range of changes in the geometry parameters of the flow cavity of a vortex jet device is proposed. Recommended to use as test points-Sobol sequences points. Possible options for implementing the mapping of the parameter space to the space of optimality criteria are proposed. The direct search method or the zero-order method (Simplex method) was chosen as the optimization method.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0141550