Fuzzy-based prediction for suddenly expanded axisymmetric nozzle flows with microjets

• Autorzy: Quadros Jaimon D. , Suhas P. , Khan Sher A. , Aabid Abdul , Baig Muneer , Mogul Yakub I.

Identyfikatory

DOI

10.24425/bpasts.2022.142654

• Języki publikacji: EN

Abstrakty

EN

The current research focuses on the implementation of the fuzzy logic approach for the prediction of base pressure as a function of the input parameters. The relationship of base pressure (β ) with input parameters, namely, Mach number (M), nozzle pressure ratio (η), area ratio (α), length to diameter ratio (ξ ), and jet control (ϑ ) is analyzed. The precise fuzzy modeling approach based on Takagi and Sugeno’s fuzzy system has been used along with linear and non-linear type membership functions (MFs), to evaluate the effectiveness of the developed model. Additionally, the generated models were tested with 20 test cases that were different from the training data. The proposed fuzzy logic method removes the requirement for several trials to determine the most critical input parameters. This will expedite and minimize the expense of experiments. The findings indicate that the developed model can generate accurate predictions

Słowa kluczowe

EN

base pressure; Mach number; fuzzy modeling

PL

ciśnienie bazowe; liczba Macha; modelowanie rozmyte

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2022
• Tom: Vol. 70, nr 5
• Strony: art. no. e142654
• Opis fizyczny: Bibliogr. 34 poz., rys., tab.

Twórcy

autor

Quadros Jaimon D.

• Fluids Group, School of Mechanical Engineering, Istanbul Technical University, Gümüs¸suyu, 34437 Istanbul

• https://orcid.org/0000-0002-5848-3389

autor

Suhas P.

• Department of Mechanical Engineering, Sahyadri College of Engineering and Management, Mangaluru 575007, Karnataka, India

autor

Khan Sher A.

• Department of Mechanical Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, 53100, Selangor, Malaysia

• https://orcid.org/0000-0001-7182-8890

autor

Aabid Abdul

• Department of Engineering Management, College of Engineering, Prince Sultan University, 66833, Riyadh 11586, Saudi Arabia

autor

Baig Muneer

• Department of Engineering Management, College of Engineering, Prince Sultan University, 66833, Riyadh 11586, Saudi Arabia

autor

Mogul Yakub I.

• National Centre for Motorsport Engineering, University of Bolton, Bolton, BL3 5AB, UK

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).