Browsing by Author "Tutar, Mustafa"

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Citation - WoS: 2
Citation - Scopus: 2
Computational Design of an Energy-Efficient Small Axial-Flow Fan Using Staggered Blades with Winglets
(Multidisciplinary Digital Publishing Institute (MDPI), 2025) Mustafa Tutar; Janset Betul Cam; Tutar, Mustafa; Cam, Janset Betul
The present study introduces a conceptual design of a small axial-flow fan. Both individual and combined effects of blade stagger angle and winglet on the performance of the fan design are investigated in design and off-design operating conditions using a computational flow methodology. A stepwise solution in which a proper stagger angle adjustment of a specifically generated blade profile is followed by appending a winglet at the tip of the blade with consideration of different geometrical parameters is proposed to improve the performance characteristics of the fan. The initial model comparison analysis demonstrates that a three-dimensional Reynolds-averaged Navier–Stokes (RANS) equation-based renormalization group (RNG) k–ε turbulence modeling approach coupled with the multiple reference frame (MRF) technique which adapts multi-block topology generation meshing method successfully resolves the rotating flow around the fan. The results suggest that the use of a proper stagger angle with the winglet considerably increases the fan performance and the fan attains the best total efficiency with an additional stagger angle of +10° and a winglet which has a curvature radius of 6.77 mm and a twist angle of −7° for the investigated dimensioning range. The present study also underlines the effectiveness of passive flow control mechanisms of the stagger angle and winglets for energy-efficient axial-flow fans. © 2025 Elsevier B.V. All rights reserved.
Multi-objective aerodynamic design optimization of a new engine intake electromagnetic wave blocker
(American Institute of Physics, 2025) Cihat Emre Üstün; Ïlhami Ünal; Nurettin Özbey; Nail Bugra Kilic; Nursev Erdoğan; Özkan Altay; Mustafa Tutar; Unal, Ilhami; Erdogan, Nursev; Kilic, Nail Bugra; Altay, Ozkan; Ustun, Cihat Emre; Ozbey, Nurettin; Tutar, Mustafa
A new engine intake electromagnetic wave blocker (EMWB) in a straight duct configuration is proposed as an alternative to S-shaped air intake ducts for reducing radar and infrared signatures of aircraft. A computational fluid dynamics model is developed and verified against an existing S-duct air intake study. Ten geometric parameters of the baseline EMWB are selected as design variables for a multi-objective optimization study. The design space is extensively explored with 68 configurations applying the constraints of pressure recovery (PR) > 0.97 and distortion coefficient (DC60) < 0.06. This process yields 16 feasible designs from which the best performing model in terms of PR and DC60 is selected as the optimized EMWB. The electromagnetic model and experimental setup are then established. Radar cross-sectional measurements of the optimized EMWB model demonstrate significant improvements: aerodynamic performance is increased by 8.1% for PR and 14% for DC60 while the radar cross section is decreased by 51%. These results suggest that the optimized EMWB in a straight duct configuration offers a promising alternative to S-shaped ducts for reducing aircraft engine signatures while maintaining aerodynamic performance. © 2025 Elsevier B.V. All rights reserved.
Citation - WoS: 3
Citation - Scopus: 3
Optimization and machine learning analysis of a small-scale oscillating water column (OWC) in regular waves: A computational study
(PERGAMON-ELSEVIER SCIENCE LTD, 2025) Tarek Eid; Hamzeh Hashem; Dilara Yetgin; Abdalla Alkhaledi; Mustafa Tutar; Tutar, Mustafa; Hashem, Hamzeh; Yetgin, Dilara; Eid, Tarek; Alkhaledi, Abdalla
Addressing the global challenge of energy scarcity necessitates innovative solutions like oscillating water columns (OWC) which offer significant potential in renewable energy. This study introduces a conceptual design and optimization of a small-scale OWC. A finite volume method (FVM) based wave modelling approach integrated with a volume of fluid (VOF) method is proposed to model and simulate the two-phase viscous time dependent turbulent flow in a numerical wave flume (NWF) for realistic representation of wave propagation around the OWC model. Once validated against theoretical and experimental data with an error of 0.74 % the present numerical methodology is extended to comprehensively optimize the OWC model by sampling varying geometric dimensions under different wave flow conditions using Latin Hypercube Sampling (LHS). This approach aims to not only improve efficiency but also to enhance the understanding of how these parameters affect overall performance. This is supported by machine learning analyses such as feature importance and SHapley Additive exPlanations (SHAP) which facilitate to understand the effect of each input parameter. Key findings include the ratio of chamber height to chamber length (H1/L) exhibiting the greatest impact on OWC efficiency while the ratio of channel height to channel length (H2/l) showing the least significance. Additionally the response surface analysis reveals the optimum ranges of the parameters and highlights the necessity of multi- variable optimization utilized in this study. Optimum dimensions result in a primary efficiency of 45% while the least efficient is found to be 2 % emphasizing the critical importance of optimization in increasing OWC efficiency.