Makine Mühendisliği Bölümü Yayın Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/263
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Article Citation - WoS: 4Citation - Scopus: 4Performance Optimization of Finned Surfaces Based on the Experimental and Numerical Study(Asme, 2023) Ayli, Ece; Kocak, Eyup; Turkoglu, HasmetThis paper presents the findings of numerical and experimental investigations into the forced convection heat transfer from horizontal surfaces with straight rectangular fins at Reynolds numbers ranging from 23,600 to 150,000. A test setup was constructed to measure the heat transfer rate from a horizontal surface with a constant number of fins, fin width, and fin length under different flow conditions. Two-dimensional numerical analyses were performed to observe the heat transfer and flow behavior using a computer program developed based on the openfoam platform. The code developed was verified by comparing the numerical results with the experimental results. The effect of geometrical parameters on heat transfer coefficient and Nusselt number was investigated for different fin height and width ratios. Results showed that heat transfer can be increased by modifying the fin structure geometrical parameters. A correlation for Nusselt number was developed and presented for steady-state, turbulent flows over rectangular fin arrays, taking into account varying Prandtl number of fluids such as water liquid, water vapor, CO2, CH4, and air. The correlation developed predicts the Nusselt number with a relative root mean square error of 0.36%. This research provides valuable insights into the effects of varying Prandtl numbers on the efficiency of forced convection cooling and will help in the design and operation of cooling systems. This study is novel in its approach as it takes into account the effect of varying Prandtl numbers on the heat transfer coefficient and Nusselt number and provides a correlation for the same. It will serve as a valuable reference for engineers and designers while designing and operating cooling systems.Article Citation - WoS: 16Citation - Scopus: 17A Comparative Study of Multiple Regression and Machine Learning Techniques for Prediction of Nanofluid Heat Transfer(Asme, 2022) Ayli, Ece; Turkoglu, Hasmet; Kocak, EyupThe aim of this article is to introduce and discuss prediction power of the multiple regression technique, artificial neural network (ANN), and adaptive neuro-fuzzy interface system (ANFIS) methods for predicting the forced convection heat transfer characteristics of a turbulent nanofluid flow in a pipe. Water and Al2O3 mixture is used as the nanofluid. Utilizing fluent software, numerical computations were performed with volume fraction ranging between 0.3% and 5%, particle diameter ranging between 20 and 140 nm, and Reynolds number ranging between 7000 and 21,000. Based on the computationally obtained results, a correlation is developed for the Nusselt number using the multiple regression method. Also, based on the computational fluid dynamics results, different ANN architectures with different number of neurons in the hidden layers and several training algorithms (Levenberg-Marquardt, Bayesian regularization, scaled conjugate gradient) are tested to find the best ANN architecture. In addition, ANFIS is also used to predict the Nusselt number. In the ANFIS, number of clusters, exponential factor, and membership function (MF) type are optimized. The results obtained from multiple regression correlation, ANN, and ANFIS were compared. According to the obtained results, ANFIS is a powerful tool with a R-2 of 0.9987 for predictions.Article Citation - WoS: 11Citation - Scopus: 14Numerical Study on Effects of Computational Domain Length on Flow Field in Standing Wave Thermoacoustic Couple(Elsevier Sci Ltd, 2019) Turkoglu, Hasmet; Mergen, Suhan; Yildirim, EnderFor the analysis of thermoacoustic (TA) devices, computational methods are commonly used. In the computational studies found in the literature, the flow domain has been modelled differently by different researchers. A common approach in modelling the flow domain is to truncate the computational domain around the stack, instead of modelling the whole resonator to save computational time. However, where to truncate the domain is not clear. In this study, we have investigated how the simulation results are affected by the computational domain length (I-d) when the truncated domain approach is used. For this purpose, a standing wave TA couple which undergoes a refrigeration cycle was considered. The stack plate thickness was assumed to be zero and the simulations were performed for six different dimensionless domain length (I-d/lambda) varying between 0.029 and 0.180. Frequency and Mach number were taken as 100 Hz and 0.01, respectively, and kept constant for all the cases considered. The mean pressure and the pressure amplitude were taken as 10 kPa and 170 Pa, respectively (Drive ratio of 1.7%). Helium was considered as the working fluid. To assess the accuracy of the simulation results, the pressure distributions across the domain were compared with that of the standing wave. In addition to the pressure variation, the effects of the domain length on the phase delay of the pressure and velocity waves along the stack plate were also investigated. The results showed that with the increasing I-d/lambda. ratio, the simulated pressure distribution compares better with the standing wave pressure distribution. With the lowest I-d/lambda ratio (0.029) considered, the difference between the amplitudes of the computed pressure distribution and theoretical standing wave pressure distribution was approximately 50 Pa. However, as I-d/lambda value increases, the simulation results approach to the theoretical standing wave pressure distribution better. The computational results obtained with Id/lambda = 0.132 and 0.180, were almost identical with standing wave acoustic field. Hence, it was concluded that the domain length has a significant effect on the accuracy of the computational results when the truncated domain approach is used. It was also observed that for a given TA device and operating parameters, there is a minimum I-d/lambda value for obtaining reliable results.