Efficiency Optimization of an Annular-Nozzle Air Ejector under the Influence of Structural and Operating Parameters

Ilya A. Lysak (), Galina V. Lysak, Vladimir Yu. Konyukhov, Alena A. Stupina, Valeriy E. Gozbenko and Andrei S. Yamshchikov
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Ilya A. Lysak: Department of Mechanical Engineering, Tomsk Polytechnic University, 30 Lenin Ave., 634050 Tomsk, Russia
Galina V. Lysak: Department of Mechanical Engineering, Tomsk Polytechnic University, 30 Lenin Ave., 634050 Tomsk, Russia
Vladimir Yu. Konyukhov: Department of Automation and Control, Irkutsk National Research Technical University, 664074 Irkutsk, Russia
Alena A. Stupina: Digital Control Technologies Department, Siberian Federal University, 660041 Krasnoyarsk, Russia
Valeriy E. Gozbenko: Department of Qrganization of Transportation and Management on Motor Transport, Angarsk State Technical University, 60 Chaykovskogo Str., 665835 Angarsk, Russia
Andrei S. Yamshchikov: Department of Economic and Financial Security, Siberian Federal University, 660041 Krasnoyarsk, Russia

Mathematics, 2023, vol. 11, issue 14, 1-18

Abstract: The efficiency of annular-nozzle ejectors serving as components of complex technical systems interacting with high-temperature media in engines and in the field of energy technologies is not linearly related to the gas-dynamic characteristics of the flows formed in the device. In this paper, we have analyzed the results of numerical and experimental studies of gas jets in an annular-nozzle air ejector. The regression equations built according to the circumscribed central composite design described the relationship between a pressure drop and the structural parameters of the nozzle with the speed and mass flow rates of the airflows, including error rates of no more than 15 percent. A two-factor optimization based on Harington’s generalized desirability function was performed to obtain a relatively accurate estimate of the ejector efficiency under the influence of the structural and operating parameters. An optimization method based on the combination of response surface methodology and the desirability function approach, allowing simultaneous consideration of all responses, made it possible to simultaneously optimize multiple conflicting objectives.

Keywords: multi-objective optimization; response surface methodology; generalized response; desirability function; mathematical methods; adjustable nozzle; varied geometry ejector; annular nozzle; air ejector; complex technical system (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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