Taguchi-based optimization of a fluidic oscillator for enhanced thermal-hydraulic performance of an impinging sweeping jet

Abstract

This study focuses on enhancing the thermal and hydraulic characteristics of a double feedback fluidic oscillator by optimizing the Coanda surface geometry. The primary objectives include augmenting oscillation frequency and jet deflection angle, followed by evaluating and enhancing the thermal performance of the optimized configurations against a baseline smooth oscillator. The Taguchi optimization approach was utilized, incorporating three design parameters for flow analysis at various levels of aspect ratio, number of ribs, and rib angle. Four factors, oscillator design group, Reynolds number, jet-to-target distance, and target surface length, were considered at different levels for thermal performance evaluation. A two-dimensional computational fluid dynamics model was implemented, and an L9(33) orthogonal array was employed to assess the effects of design variables on individual responses. The oscillators with the highest flow performance showed an improvement in oscillation frequency by almost 20 % and a notable increase in jet deflection angle by close to 40 % relative to the baseline design. Heat transfer analysis revealed a 24.3 % improvement in Nusselt number (Nu) compared to the smooth oscillator, with a performance evaluation criterion (PEC) of 1.252 achieved using the optimized frequency design.

Publication DOI: https://doi.org/10.1016/j.icheatmasstransfer.2025.109176
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences
Funding Information: The UK Government funds for this research (and/or) pilot activity through the Project: APP47457, titles “Super-efficient Sustainable Cooling Solution for All Applications (S2Cool)” under the Ayrton Challenge Programme of the UK Research and Innovation (UK
Additional Information: Copyright © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license ( https://creativecommons.org/licenses/by/4.0/ ).
Publication ISSN: 1879-0178
Last Modified: 31 Oct 2025 08:07
Date Deposited: 30 Oct 2025 16:03
Full Text Link:
Related URLs: https://www.sci ... 6025?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2025-08-01
Published Online Date: 2025-06-05
Accepted Date: 2025-06-01
Authors: Hussain, Liaqat
Khan, Muhammad Mahabat
Ahmad, Naseem
Imran, Muhammad (ORCID Profile 0000-0002-3057-1301)
Shahzad, Muhammad Wakil

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