Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2023

Идентификатор DOI: 10.3390/math11143039

Ключевые слова: multi-objective optimization, response surface methodology, generalized response, desirability function, mathematical methods, adjustable nozzle, varied geometry ejector, annular nozzle, air ejector, complex technical system

Аннотация: 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.

Журнал: Mathematics

Выпуск журнала: Т.11, №13

Номера страниц: 3039

ISSN журнала: 22277390

• Lysak Ilya A. (National Research Tomsk Polytechnic University)
• Lysak Galina V. (National Research Tomsk Polytechnic University)
• Konyukhov Vladimir Yu. (Irkutsk National Research Technical University)
• Stupina Alena A. (Siberian Fire and Rescue Academy of State Fire?Service of the Ministry of Emergency Situations of Russia)
• Gozbenko Valeriy E. (Irkutsk State Transport University)
• Yamshchikov Andrei S. (Professor V.F. Voino-Yasenetsky Krasnoyarsk State Medical University)

• Ядро РИНЦ (eLIBRARY.RU)