Our mechanical engineering faculty academics published their work in national and international journals in the first half of 2025. We congratulate our academics on their success.

Period Authors Title DOI & ISBN Number Publisher Details
2025-1 M. A. Sarıkaya, A. Candaş, İ. Ege, K. M. Wilcken Geochronology and ice-flow modelling of the Late Quaternary glaciers on Mt. Soğanlı, Türkiye http://doi.org/10.1002/jqs.3660 The article co-authored by Dr. Adem Candaş, investigates the remnants of Late Quaternary glaciation on Mount Soğanlı, located in the interior regions of Türkiye. Using cosmogenic 36Cl surface exposure dating and numerical ice-flow modelling, the study provides detailed insights into glacier retreat phases and past climatic conditions in the region.
2025-1 Çolak, A.B., Bacak, A., Karakoyun, Y. Koca Aliihsan, et al. Machine learning application with Bayesian regularization for predicting pressure drop in R134a's annular evaporation and condensation https://doi.org/10.1007/s40430-025-05527-8 SCI-Q2
2025-1 Çalışkan Cİ, Şahin M, Koca Aliihsan, Tarakçı G, Okbaz A, Dalkılıç AS. Mechanical performance and ANN-based prediction of Co-Cr dental alloys with gyroid cellular structures produced by LPBF technology 10.1177/09544062241307458 SCI-Q2
2025-1 Koca, Aliihsan, Mustafaoglu, M., Karakoyun, Y. et al. The effect of the important variables for the design novel milli-channel cooling system on the evaporator performance by the Taguchi method https://doi.org/10.1007/s10973-024-13894-y SCI-Q1
2025-1 Çalışkan, C.İ., Khan, H.M., Koca, Aliihsan. et al. Mechanical strength investigation of gyroid design parameters in titanium fixed partial denture frameworks manufactured by additive manufacturing https://doi.org/10.1007/s00170-024-14938-1 SCI-Q1
2025-1 Emrullah Cebe , Özgur Kalbaran, Alaeddin Burak İrez A numerical investigation of ground impact for hierarchically designed hybrid composite structures in electric vehicle battery cases https://doi.org/10.1016/j.jpowsour.2025.236594 Journal of Power Sources
2025-1 Muhammed Atıf Yilmaz, Kemal Hasırcı, Berk Gündüz, Alaeddin Burak Irez Advanced composite wing design for next-generation military UAVs: A progressive numerical optimization framework https://doi.org/10.1016/j.dt.2025.02.020 Defence Technology Journal
2025-1 Merve Bilgen Bağci, Alaeddin Burak İrez Pellet Extrusion Additive Manufacturing of Carbon Nanotube Reinforced PEEK-Based Composites for Biomedical Applications https://doi.org/10.1201/9781003521792 Book Chapter published in Handbook of 3D Printing in Biomedical Applications – CRC Press
2025-1 Fırat Mehmet Günkan, Bülent Sümer, İlker Murat Koç Reducing drive torque in needle valves through tip material selection with a tribological approach https://doi.org/10.1016/j.triboint.2025.110671 This study evaluates the performance of needle valve tips made from four distinct materials (steel, aluminum, POM-polyacetal, and Nylon-66) paired with a steel valve-body with experimental validation
2025-1 Ömer Ekim Genel, Hilal Koç, Ekrem Tüfekci In-Plane Static Analysis of Curved Nanobeams Using Exact-Solution-Based Finite Element Formulation https://doi.org/10.32604/cmc.2025.060111 This study presents a new two-noded curved finite element for analyzing the in-plane static behaviors of curved nanobeams. Opposite to traditional curved finite elements developed by using approximate interpolation functions, the proposed curved finite element is developed by using exact analytical solutions.
2025-1 Mithat Can Özin, Bilsay Sümer, İlker Murat Koç Multiobjective Pareto Optimality of a Cross-Beam Six Axis Force/Moment Sensor With Genetic Algorithm and Approximate Analytical Model 10.1109/JSEN.2025.3544965 Six-axis force/moment sensor technology currently lacks an extensive, fast, and accurate size optimization methodology in common sensor diameters that can check sensor body strain output, size, safety, and vibration response for designing custom sensors. This study utilizes a new analytical model for optimization of a cross-beam sensor that has higher accuracy in an extensive sensor dimension range and respects design safety and vibration frequency. The new optimization problem formulation aims to maximize strain outputs and minimize sensor diameter.
2025-1 Caglar Sahin, Seyhan Uygur Onbasioglu Experimental and numerical investigation of suction muffler outlet pipe geometry effect on volumetric efficiency and COP https://doi.org/10.1016/j.ijrefrig.2025.02.001. International Journal of Refrigeration This study investigates how the design of the muffler outlet pipe and the compressor speed affect the volumetric efficiency and COP using both experimental and numerical methods. Three distinct muffler outlet pipe designs, characterized by varying lengths and diameters, are tested across four different compressor speeds using R600a refrigerant. A numerical model is developed using the GT-SUITE™ platform and subsequently validated against the experimental results.
2025-1 Volkan Bekir Yangın, Yaprak Yalçın, Özgen Akalın A tunable explicit nonlinear MPC for a vehicle considering improved path tracking performance and computational efficiency http://doi.org/10.1007/s12206-025-0446-4 In this paper, a novel tunable explicit nonlinear MPC (E-NMPC), which provides satisfactory path-following performance and computational efficiency is proposed for a vehicle in the NATO double lane change maneuver. The proposed controller is based on an artificial neural network (ANN), which is a useful tool to model complex systems. The control law is generated offline to reduce the computational burden.
2025-1 Başar Zaman, Volkan Bekir Yangın, Özgen Akalın ANN-Based PID Tuning Mechanism for a Vehicle Control System Considering Improved Path Following Conference Paper (4. Uluslararası Lisansüstü Araştırmalar Sempozyumu (IGRS'25)) The objective of this study is to compare vehicle path tracking performance by using PID control strategy based on ANN tuning with the path tracking accuracy of the PID control strategy where the controller gains are tuned based on Ziegler-Nichols method. PID controller creates differential brake forces to follow the reference trajectory as a back-up for the steering system in case of failure. The proposed methodology is validated through a Simulink-ADAMS co-simulation, where a test vehicle performs a NATO Double Lane Change (DLC) maneuver using differential braking for steering redundancy.
2025-1 Mete Kayıhan, Mustafa Bakkal Comparison of analytical and finite element solutions for monitoring the self-generated temperature in the fatigue test of novel continuous glass fiber-reinforced Elium thermoplastic composites 10.1002/pc.29881
2025-1 Elifnur Kösemen, Mustafa Bakkal, Ali Taner Kuzu Enhancing Mechanical Performance of FDM-Printed ABS Parts Through Annealing Optimization 10.1002/pen.70008
2025-1 Görkem Tok, Ali Taner Kuzu, Mustafa Bakkal Investigation of residual stresses induced by turning of hot forged and heat treated AA7075 10.1007/s00170-024-14724-z
2025-1 Muhammet Burhan Navdar , Erkan Çelebi, Tahsin Engin, Hüseyin Dal, Fırat Can Yılmaz Experimental and numerical study on vibration mitigation of slender structures with TLCD under second-order effects 10.1016/j.jobe.2024.111675
2025-1 Ahmet Aydın, Tahsin Engin, Ahmed Kovacevic Design optimisation of a screw compressor with a focus on rotor depth: A computational fluid dynamics approach 10.1016/j.ijrefrig.2024.12.001
2025-1 Yunus Emre Torun, Haluk Erol A Trade-Off Study Among Ride Comfort and Safety Against Derailment in the Rail Vehicle Suspension Design 10.1007/s42417-025-01925-3
2025-1 Sinem Ozturk, Haluk Erol Acoustic multi-objective optimization of porous media properties of a diesel particulate filter 10.59400/sv1805
2025-1 Bugra Eyidogan, Mesut Kirca Mechanical enhancement of hydroxyapatite via carbon and boron nitride nanotubes: a molecular dynamics study 10.1007/s00894-025-06317-8
2025-1 Osman Furkan Yilmaz, Mesut Kirca Mechanical tuning of three-dimensional graphene network materials through geometric hybridization 10.1016/j.commatsci.2024.113544
2025-1 H. Pahlavani, I. Bedii Ozdemir Effect of red blood cell concentration on the blood flow in patient-specific aneurysms 10.1007/s42600-024-00381-4
2025-1 Zelal Yavuz, Remzi Ecmel Ece, Yahya Oz, Fahrettin Ozturk Investigation of sizing materials for carbon fiber reinforced thermoplastic composites
2025-1 Suleyman Kilic, Fahrettin Ozturk, Mehmet Fatih Demirdogen A comprehensive literature review on friction stir welding: process parameters, joint integrity, and mechanical properties
2025-1 Ramazan Çakır, Javidan Mammadli, Ahmet Faruk Şeker, Taha Eren Koca, Bayram Şahin A COMPREHENSIVE REVIEW ON BATTERY THERMAL MANAGEMENT AND MODELING 10.1615/HeatTransRes.2025053111
2025-1 Ali Celik , Eyüphan Manay , Bayram Şahin Comparison of the energy and economic performance of a LEED certified educational building located in a cold climate region with the national standard 10.17341/gazimmfd.1383681
2025-1 Faraz Afshari, Emre Mandev, Mehmet Akif Ceviz, Burak Muratçobanoğlu, Bayram Şahin, Ali Çelik, Eda Feyza Akyürek, Heydar Dehghanpour Exploring solar modified glazed balconies as energy sources for mini-split heat pumps to enhance thermal performance 10.1016/j.renene.2025.122992
2025-1 A.S.M. Rokonuzzaman, Kasim Erdem, Bayram Şahin, Mehmed Rafet Özdemir Experimental study of a single-phase immersion cooling system with natural and forced convection 10.1016/j.ijthermalsci.2025.109868
2025-1 U. Eroğlu · G. Ruta · E. Tüfekci · A. Paolone Improving the evaluation of static bifurcations in locally damaged parabolic arches 10.1007/s11012-024-01932-w
2025-1 Mertol Tüfekci, Onur Koçak, Yaren Özkan, İnci Pir, Ekrem Tüfekci Numerical Evaluation of Design Strategies for a Composite Wind Turbine Blade: Using Metallic Foams and Optimising Topology 10.1002/ese3.70030
2025-1 İnci Pir, Ekrem Tüfekçi EVALUATION OF TEMPERATURE-DEPENDENT MECHANICAL PROPERTIES OF HNT AND RUBBER REINFORCED EPOXY COMPOSITES 10.1115/SSDM2025-152468
2025-1 Arash Armanfar, Serhat Cam, Ersan Ustundag, Erkan Gunpinar Mechanical property optimization of parts manufactured via parametrized helical printing 10.1007/s12008-025-02222-9
2025-1 Tunca Zeki Berkkurt, Merve Acer Kalafat, Atakan Altınkaynak Investigation of process parameters’ effects on strand morphology of FDM products 10.1007/s40964-024-00682-1
2025-1 Metin Gürgöze and Atakan Altınkaynak https://orcid.org/0000-0003-3971-3641 Use of complex notation for solving vibrations equations 10.1177/03064190241233685
2025-1 Eyyup Sincar, Zeki Y. Bayraktaroglu, Eray A. Baran, Evren Emre Performance Enhancement of a Stewart Platform Using Joint-Task Space Hybrid Control 10.1109/ICHORA65333.2025.11016996
2025-1 Muhammet Umut Danis, Zeki Yagiz Bayraktaroglu Extended State Observer-Based Motion Control of Robot Manipulators in Presence of Uncertainties and Disturbances 10.1049/cth2.70043
2025-1 Eyyup Sincar, Zeki Y. Bayraktaroglu Enhanced performance of a parallel manipulator with hybrid joint-space and task-space control approaches 10.1017/S0263574725000074
2025-1 Ege Mert Ertorun, Mucahit Yayla, Deniz Isik & Sertac Cadirci One-way fluid–structure interaction modeling and multi-objective optimization of horizontal-axis wind turbine blades equipped with winglets 10.1080/15435075.2024.2430432
2025-1 Alperen Yildizeli, Sertac Cadirci Calibration of the k-ω shear stress transport turbulence model for transitional boundary layer flows over flat plate and turbulent backward facing step flows 10.1063/5.0246991
2025-1 Alperen Yildizeli, Mert Turhan Alver, Akif Celik, Mustafa Yurduseven, Sertac Cadirci Effect of the design modifications on the hemocompatibility and hydrodynamic performance of FDA-approved blood pump at various operating conditions 10.1007/s42600-025-00403-9
2025-1 Uğurcan Eroğlu, Giuseppe Ruta A perturbation approach to two-phases, non-local, fully deformable beams 10.1016/j.ijnonlinmec.2025.105136
2025-1 Erkan Gunpinar, A. Alper Tasmektepligil, Márton Vaitkus, Péter Salvi Optimization of cross-derivatives for ribbon-based multi-sided surfaces 10.1016/j.gmod.2025.101275
2025-1 Emre Günaydın, Erkan Gunpinar Enhanced support structures in conformal additive manufacturing for improved geometric accuracy 10.1016/j.jmapro.2025.04.005
2025-1 Abdülhamit Adsoy, Serpil Kurt, Ahmet Topuz Influence of fly ash and waste tire rubber particles on mechanical and tribological properties of composite brake linings 10.1002/pc.29328
2025-1 O.A. Kutlar, M. Üngör, Ö. Cihan Design and experimental testing of a novel skip-cycle mechanism for Wankel engine 10.1016/j.enconman.2024.119410
2025-1 Hüseyin Emre Doğan, Abdurrahman Demirci, Osman Akın Kutlar INVESTIGATION OF THE EFFECT OF COMPRESSION RATIO AND DIFFERENT FUELS ON CO2 EMISSIONS 10.1615/InterJEnerCleanEnv.2024051076
2025-1 Farnaz Nojavan, Ersin Sayar Numerical study of implemented eco-friendly nanofluid in the pinfin-equipped heatsinks with novel C-shaped and V-shaped patterns 10.1016/j.tsep.2024.103134
2025-1 Merve Üngör, Osman Taha Sen, Akif Yavuz, Cemal Baykara Feasibility Assessment of Novel Multi-Mode Camshaft Design Through Modal Analysis 10.3390/machines13050407
2025-1 Akif Yavuz, Osman Taha Sen Development and performance assessment of different squeal index metrics based on experimental data 10.1177/09544070241242827
2025-1 Onur Haydari , Emrecan Söylemez Fatigue crack growth characterization of the recycled carbon black reinforced natural rubber mixes 10.17341/gazimmfd.1408888
2025-1 Hamed Rahmati Aydenlou, Abdussamet Subasi Designing a fuzzy-based PID controller for separation control in the backward-facing step flow 10.1016/j.icheatmasstransfer.2025.109144
2025-1 Kasim Erdem, Abdussamet Subasi A novel approach for predicting multiple key properties of water-based nanofluids using artificial neural networks 10.1016/j.molliq.2025.127590
2025-2 Mustafa Kalayci, Alaeddin Burak Irez. Development of Hybrid Polymer Composites for Electronic Warfare Casings and Investigation of Electromagnetic Interference Shielding Performance https://doi.org/10.1002/pc.70306 Polymer Composites Journal (2025). – Q1
2025-2 Ashlee S. Liao, Kevin Dai, Alaeddin Burak Irez, Anika Sun, Michael J. Bennington, Saul Schaffer, Bhavya Chopra, Ji Min Seok, Rebekah Adams, Yongjie Jessica Zhang & Victoria A. Webster-Wood Cytotoxic and Mechanical Properties of Resins 3D Printed with Low-Cost Hardware for C2C12 Biohybrid Actuators https://doi.org/10.1038/s41597-025-05738-7 Nature Scientific Data – Q1
2025-2 Serhat Ç. Dalgıç, Aliihsan Koca Design, Simulation, Manufacturing, and Endurance Testing of a Polymer-Based Composite Expansion Tank for Domestic Boiler Applications Engineering Science and Technology (ICONST-EST) Konferans Bildirisi
2025-2 Mehmet U., Koca A., Mustafa D. Process Optimization of Polymer Melt Impregnation Systems by Extrusion Method IGRS 2025 | 4th International Graduate Research Symposium Konferans Bildirisi
2025-2 Alperen Yıldızeli, Sertaç Çadırcı Calibration of the k–ω shear stress transport turbulence model for transitional boundary layer flows over flat plate and turbulent backward facing step flows https://doi.org/10.1063/5.0246991 Reynolds Averaged Navier–Stokes turbulence models have been used over several decades in industrial and academic applications to predict turbulent flow fields. Adequacy of the predefined closure coefficients has received attention in the research community with increasing computational power in the last 20 years. In this study, the transitional and standard k–ω shear stress transport turbulence models are calibrated for flows over flat plate and backward facing step using six benchmark cases available in the literature. A systematical calibration methodology is presented, consisting of validation studies, global sensitivity analysis, reduced order modeling with Deep Neural Networks, and multi-objective optimization algorithm. Moreover, three different approaches are suggested to examine different aspects of the applicability of the calibrated closure coefficients. The results of the study demonstrate that the closure coefficients can be successfully calibrated using multi-objective optimization to improve the prediction of wall shear stresses and velocity profiles independent of the quantity of selected test cases. Comparison between different calibration approaches and their performance on different objective functions indicated their advantages and disadvantages. Calibrated values of the holistic calibration approach for the β1, a1, b1, β2, and γ1 were found to be 6%, 25%, 24%, and 16% higher and 7% and 25% lower, respectively, than their default values.
2025-2 Alperen Yıldızeli, Mert Turhan Alver, Akif Çelik, Mustafa Yurduseven, Sertaç Çadırcı Effect of the design modifications on the hemocompatibility and hydrodynamic performance of FDA-approved blood pump at various operating conditions https://doi.org/10.1007/s42600-025-00403-9 The use of CFD as a tool to assess the safety of medical devices, particularly in the context of hemocompatibility, remains constrained due to the absence of standardized validation and evaluation methods. This limitation hinders the comparability and reliability of simulation studies, crucial for ensuring the hemodynamics within ventricular assist devices (VAD) which have vital importance in numerous cardiovascular cases. To address this gap, FDA-approved blood pump is considered as a baseline design and numerically investigated with the purpose to reveal the hemodynamics and hydrodynamic performances of the modified blades.
2025-2 Alperen Yıldızeli, Orkun Mert Üstün, Kaan Mutlu, Sertaç Çadırcı Multi-objective optimization and sensitivity analysis of offset strip fin compact heat exchangers https://doi.org/10.1080/10407790.2024.2368673 In this study, the aerothermal performance of Offset Strip Fin Compact Heat Exchangers (OSF-CHE) is optimized with the multi-objective Particle Swarm Optimization method. Available empirical correlations for the Fanning factor and Colburn factor are utilized in the optimization process. Selected off-design Pareto-optimal solutions for compact heat exchanger configurations are reconstructed and simulated by Computational Fluid Dynamics simulations at various boundary conditions after extensive validation processes. Optimized OSF-CHE designs are shown to have improved aerothermal performances among comparable designs in the literature. It has been shown that a high Reynolds number in the range of 1,500–2,000 as a flow attribute provides the Fanning factor ranging from 0.0228 to 0.0619 and the Colburn factor between 0.0067 and 0.0122 and Re is more dominant than geometric design variables on the objective functions. Low and moderate Reynolds number flows at 500 and 1,000 offer a wider selection range for both objective functions on the Pareto-front.
2025-2 Ayşegül ABUŞOĞLU Bir Biyogüç Santralinin Genişletilmiş Ekserji Muhasebesi ile Değerlendirilmesi TICMET’25 – The 6th International Conference of Materials and Engineering Technology
2025-2 Koç, H., Tufekci, E. Analytical bending solutions for carbon nanotubes: paradoxes and their resolutions through doublet mechanics https://doi.org/10.1007/s00419-025-02970-w This study focuses on the bending behavior of carbon nanotubes modeled as Timoshenko nano-beams under various boundary and loading conditions, which have not been previously examined within the framework of doublet mechanics. Developed approach reinstates the anticipated scale-dependent softening across all boundary conditions examined. Furthermore, a novel macro-stress expression has been identified and validated, thereby extending the previous formulations documented in the literature. The results indicate that the influence of the scale parameter is most pronounced for the clamped–clamped, clamped-pinned, and clamped-free nano-beams, respectively. The proposed framework elucidates existing paradoxes and advances the application of doublet mechanics as a reliable analytical approach for nano-scale structural design.
2025-2 Mert Sugür, Emre Tabak, İkilem Göcek, Merve Acer Kalafat, Sakip Önder & Atakan Altınkaynak A generative design framework for porous structures: implementation to bone scaffolds using FDM method https://doi.org/10.1007/s40964-025-01226-x This paper aims to develop a computational generative design framework to create porous structures with an implementation on scaffolds for bone tissue engineering applications. The objective is to develop porous scaffolds that meet target stiffness, pore size, and porosity criteria ensuring mechanical compatibility while supporting biocompatibility.
2025-2 Shahrad Samankan, Merve Acer Kalafat, Ata Arjomandi Fard, and Atakan Altınkaynak Geometry optimization of an origami-inspired delta mechanism using genetic algorithm https://doi.org/10.1177/09544062251352654 This paper optimizes the geometry of a novel Delta mechanism via origami-inspired fabrication. The aim is to maximize workspace volume without increasing the mechanism’s footprint. Optimize the geometry to increase the limitation of the mechanism and experimentally test the optimized mechanism and compare the results with the original one.
2025-2 Sahu, Bibhu P., Zhucong Xi, Metin Kayitmazbatir, Eunji Song, Liang Qi, and Amit Misra. Comparative analysis of precipitation hardening mechanisms in Al-7075 alloy under different quenching media Journal of Materials Research and Technology
2025-2 Meltem Yanilmaz, Aleyna Atik, Murat Tosun, Xiangwu Zhang MOF@ Nanofiber Separators for Lithium- Ion Batteries https://doi.org/10.1002/app.56562
2025-2 Meltem Yanilmaz, Busra Temel, Edip Bayram, Murat Tosun, Ismail Topcu, Juran Kim Sustainable biowaste conversion into microporous carbons for efficient energy storage solutions in sodium-ion batteries https://doi.org/10.1016/j.jece.2025.118559
2025-2 Murat Tosun Türkiye'de Kaynak Teknolojisinin Tarihçesi ve Selahaddin Anık 14. Kaynak Teknolojisi Ulusal Kongre ve Sergisi (KAYKON 25 / 07-08 Kasım 2025 / Ankara)
2025-2 Murat Vural Kaynaklı Tasarım ve İmalat 978-975-561-751-0 İTÜ Yayınevi Kitap
2025-2 Ozgen Çolak, Okan Bakbak, Nadia Bahlouli A Comparative Experimental Study on High Strain Rate Response of Graphene-Based Epoxy Nanocomposites https://doi.org/10.1002/pen.70259 This study examines the experimental behavior of graphene-epoxy nanocomposites at high strain rates using the split Hopkinson pressure bar (SHPB) test. This work was published in the Q1 journal Polymer Engineering and Science. It is the product of an international research collaboration led by Prof. Dr. Nadia Bahlouli of the University of Strasbourg.
2025-2 Rasid Ahmed Yildiz, Ozkan Gokcekaya & Mohammad Malekan A holistic analysis of laser powder bed fusion process parameters for Inconel 625 superalloy: microstructural features and mechanical performance https://doi.org/10.1007/s10853-025-11202-z
2025-2 Yasith H. Rajashilpage, Rasid Ahmed Yildiz & Mohammad Malekan Effects of post-heat treatment on the mechanical properties of additive manufactured 316L stainless steel and Inconel 625 super alloy https://doi.org/10.1016/j.prostr.2025.06.160
2025-2 Rasid Ahmed Yildiz, Fatemeh Sadat Mirsafi, Till Leißner & Mohammad Malekan Evaluating porosity differences in wrought and additively manufactured 316L stainless steel: a tensile deformation study via high-resolution X-ray nanotomography https://doi.org/10.1007/s40964-025-01385-x
2025-2 Ege Mert Ertorun, Mücahit Yayla, Deniz Işık, Sertaç Çadırcı One-way fluid–structure interaction modeling and multi-objective optimization of horizontal-axis wind turbine blades equipped with winglets https://doi.org/10.1080/15435075.2024.2430432 This study aims to investigate the effects of backward-directed winglets applied on the NREL Phase-II reference wind turbine geometry on structural and aerodynamic characteristics and to reveal optimized configurations. The aerodynamic pressure distributions on the blades were imposed as boundary conditions for the FEM analyses since the structural characteristics of the turbine were analyzed by adopting a one-way Fluid Structure Interaction (FSI) approach. The Taguchi analysis with an L27 orthogonal array revealed the descending order of importance of design variables on the coefficient of power (CP): height, cant angle, toe angle, curvature radius, and finally twist angle. For von-Mises stress, the descending order of importance is height, cant angle, toe angle, twist angle, and curvature radius. A multi-objective genetic algorithm using artificial neural network (ANN) models was used to optimize the objectives CP and von-Mises stress. Pareto-optimal solutions with off-design points were obtained, and their performances were compared to the reference NREL Phase-II geometry. As a result, it was observed that there was an increase in CP from 8.07% to 15.56% and the von-Mises stress showed a considerable increase up to 231.13%. The study demonstrates the aerodynamic benefits and structural drawbacks of various winglet designs in horizontal axis wind turbines.
2025-2 Cem Turutoğlu, Sertaç Çadırcı A new variant of renormalization group turbulence model for flows in axial compressor cascade https://doi.org/10.1063/5.0274264 This study introduces a modified Renormalization Group (RNG) k– turbulence model for axial compressor cascades, designed to improve the prediction of total pressure loss coefficient and wake profiles. Built on the theoretical foundation of Yakhot and Orszag's RNG theory, the model incorporates a locally adaptive () coefficient, enabling it to better capture flow physics across varying near-wall resolutions and wall treatment approaches. The model is called RNG Fc model and was validated using experimental data from The Advisory Group for Aerospace Research and Development (AGARD) Working Group 18 (WG18), focusing on the V2 and V103 compressor cascades under on design and off-design conditions. Comparative analyses vs original RNG k– and shear stress transport k– models demonstrate that the presented model achieves superior accuracy in total pressure loss calculations and wake predictions at various inlet Mach numbers. The model's performance remains consistent across different computational grids, including low y+ and high y+ structures, and is compatible with both scalable wall functions and enhanced wall treatments. Notably, the modified model exhibits computational efficiency and numerical stability, making it a promising tool for industrial applications. This work highlights the potential of the RNG Fc model as a robust and cost-effective alternative for turbulence modeling in axial compressor cascade analyses, offering significant improvements over traditional Reynolds averaged Navier–Stokes models.
2025-2 Yesim Guzel, Mert Akbiyik, Tolga Nurettin Aynur, Seyhan Onbasioglu Cost and energy improvement comparison of using electronic expansion valve and vacuum insulation panel in domestic refrigerators https://doi.org/10.1016/j.ijrefrig.2025.10.010. International Journal of Refrigeration This document explores the energy efficiency and cost-effectiveness of using Vacuum Insulation Panels (VIPs) and Electronic Expansion Valves (EEVs) in domestic refrigerators across four climate classes: Subnormal (SN), Normal (N), Subtropical (ST), and Tropical (T). The study evaluates six refrigerator configurations, combining VIPs and EEVs, and considers factors like insulation aging and a 5% annual increase in electricity costs.
2025-2 Volkan Bekir Yangin; Yaprak Yalcin; Ozgen Akalin An improved fuzzy logic-based vehicle dynamics state estimation framework via coordination of extended Kalman filter and artificial neural networks 10.1504/IJVP.2025.10073435 This paper proposes a 'combined estimation algorithm (CEA)' designed to estimate the unknown yaw rate and side-slip angle values of a tactical vehicle while navigating at various speeds during a NATO double lane change manoeuvre, using known states. The CEA includes three independent modules: an extended Kalman filter (EKF), artificial neural networks (ANN), and fuzzy logic (FL). The EKF is based on a single-track nonlinear vehicle model, while the ANN using trained data. Both modules take the front axle steering angle as their single input and operate simultaneously in coordination with a novel fuzzy logic (FL) module, which integrates the outputs of both the ANN and EKF, utilising practical rules and membership functions derived from experience and experimental data to enhance prediction performance. Simulations demonstrated that the proposed CEA improves the estimation accuracy by between 8% and 59% for all error metrics, compared to the EKF and ANN alone.
2025-2 Volkan Bekir Yangin; Yaprak Yalcin; Ozgen Akalin Variable-speed autonomous path tracking of a vehicle via robust linear model predictive controller doi.org/10.1063/5.0297612 16TH INTERNATIONAL SCIENTIFIC CONFERENCE ON AERONAUTICS, AUTOMOTIVE AND RAILWAY ENGINEERING AND TECHNOLOGIES: BulTrans-2024 A Model-predictive-controller (MPC) can deal with path-tracking problems in autonomous vehicles due to its predictive ability. However, changes in vehicle speed have a significant impact on the linear controller performance. In this study, a novel robust linear MPC (RL-MPC) is proposed to obtain the required front wheel steering angle to keep a vehicle on reference trajectories in the NATO double-lane-change maneuver. The proposed controller is based on a one-track, 2-DOF linear vehicle model, and controller parameters are tuned to ensure successful trajectory tracking at different vehicle speeds. The tuning process is handled practically by artificial neural network (ANN) structure. The simulated results revealed that the proposed RL-MPC can improve the path-following performance, and provide flexibility to operate at different vehicle speeds, compared to the linear-quadratic-integral (LQI) and I controller (LQI+I) set.
2025-2 Mücahid Rıdvan Kaplan; Burak Kürkçü; Mehmet Önder Efe; Zeki Yağız Bayraktaroğlu. Comparative Study of Disturbance Observer-Based Control Methods on an Industrial Gimbal System 10.1109/ACCESS.2025.3588595
2025-2 Celaletdin Ergun, Ozkan Gokcekaya, Michael Wendt, Esra Alveroğlu. Multifunctional pure and Sr-doped magnetite superparamagnetic nanoparticles: Synthesis, characterization, magnetic heating performance, and numerical simulation 10.1016/j.ceramint.2024.11.436 Ceramics International  
2025-2 Celaletdin Ergun, Semih Sezer. Design, Fabrication and Characterization of L&T Hybrid Mode Transducers for Thermoplastic Welding 10.1007/s42417-024-01690-9 J. Vib. Eng. Technol.