Kaleli, Alirıza
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Doç. Dr.
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aliriza.kaleli@erzurum.edu.tr
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4.9. Havacılık ve Uzay Mühendisliği Bölümü
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33
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288
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10
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9
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5
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WoS Citation Count
21
Scopus Citation Count
55
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0
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2.33
Scopus Citations per Publication
6.11
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0
| Journal | Count |
|---|---|
| -- 2017 International Conference on Engineering and Technology, ICET 2017 -- 2017-08-21 Through 2017-08-23 -- Antalya -- 135161 | 3 |
| -- 5th International Symposium on Electrical and Electronics Engineering, ISEEE 2017 -- 2017-10-20 through 2017-10-22 -- Galati -- 133666 | 1 |
| International Journal of Engine Research | 1 |
| International Journal of Environmental Science and Technology | 1 |
| Journal of Energy Storage | 1 |
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9 results
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Now showing 1 - 9 of 9
Article Citation - Scopus: 1Experimental Investigation of Lithium-Ion Battery Cell Heating Under Subzero Conditions Using Induction-Based Liquid and Internal DC Heating(Elsevier Ltd, 2025) Sungur, B.; Kaleli, A.This study investigates the thermal and electrical performance of a hybrid heating strategy for lithium-ion batteries operating under extreme cold conditions. A novel heating configuration is proposed, integrating electromagnetic induction-based fluid heating with direct current (DC) excitation during a 3C discharge. Experiments were conducted on a cylindrical 18,650 NMC cell to evaluate the effects of three induction power levels (100, 250, 400 W) and three liquid flow rates (0.22, 0.30, 0.50 l/min) on critical performance parameters including heating rate, heating efficiency, and discharge behaviour. Results show that the hybrid method delivers significantly faster heating compared to using DC heating alone. The fastest temperature rise was recorded at 0.22 l/min and 400 W, reaching 0 °C, 15 °C, and 25 °C in 43.3 s, 69.3 s, and 177.9 s respectively, with a peak heating rate of 21.43 °C/min to 15 °C. However, at this low flow rate, nucleate boiling was observed, which may act as a limiting factor by introducing instability to the system. Increasing flow rates improved heat transfer by convection but slightly reduced heating rate due to shorter thermal contact time. Heating efficiency was highest at low power and flow rate and declined with increasing power. Voltage profiles demonstrated improved discharge performance in all hybrid cases, with the duration until voltage cut-off extending from 902 s (no induction) to 1037 s (0.22 l/min, 250 W). Compared to existing studies, the proposed system offers one of the fastest heating rates (11.80 °C/min) reported among external battery heating methods. These results highlight the strong potential of induction-liquid based DC heating systems for rapid and reliable battery preheating in electric vehicles under cold climate conditions. While the proposed system shows promising preheating performance, its practical integration into existing electric vehicle architectures requires further investigation regarding control complexity, safety compliance, and component miniaturization. © 2025 Elsevier LtdConference Object Citation - Scopus: 14Design and Control of Intelligent Cooling System for IC Engine(Institute of Electrical and Electronics Engineers Inc., 2017) Kaleli, A.; Kaltakkıran, G.; Dumlu, A.; Ayten, K.K.The engine cooling systems in the commercial vehicles have not developed as the other control systems despite the technological improvements. Additionally, researchers in the automotive industry and the universities have focused on the power production and the combustion. Therefore, the thermal management of internal combustion engines, which has the same importance, does not taken into consideration sufficiently. However, optimum management of heat transfer system in the engines has an important effect on many parameters such as the engine performance, lubrication quality, exhaust emissions and fuel efficiency. It is necessary to define the engine cooling fluid temperature and flow rate profiles, and to follow them sensitively by a controller system to be designed. In this paper, it is aimed to design and to produce a thermal management system for internal combustion engines in order to ensure optimal distribution of the heat transfer. The electrically driven coolant pump and DC motor controlled valve is considered as control inputs. Additionally, robust control approach based on lumped parameter control-oriented model of engine cooling system is presented. Finally, the proposed and traditional engine cooling systems are compared by means of exhaust emission values. © 2017 IEEE.Conference Object Citation - Scopus: 2Model-Based Sliding Mode Control Technique for the Stewart Platform Mechanism(Institute of Electrical and Electronics Engineers Inc., 2017) Dumlu, A.; Kaleli, A.; Erentürk, K.; Ayten, K.K.In this study; design, analysis and real time trajectory tracking control of a six-degree of freedom revolute spherical-spherical (RSS) type parallel manipulator, actuated by six electrical motors, has been studied. A nonlinear sliding mode controller method has been utilized to take dynamic approximation model of the manipulator into account and to improve tracking performance of the manipulator. Real-Time experimental results for the control technique have been verified. Finally, according to the results, the nonlinear sliding mode controller method has improved the tracking performance of the designed manipulator. © 2017 IEEE.Article Citation - WoS: 6Citation - Scopus: 6Development of Optimal Diesel Injection Strategy Based on the Prediction of Performance and Emissions Using Deep Neural Network(Sage Publications Ltd, 2023) Guner, Erdogan; Kaleli, Aliriza; Bakirci, Kadir; Ceviz, Mehmet AkifThis study aims to determine the optimal injection strategy by predicting the performance and exhaust emission parameters of a four-cylinder CRDI engine under several operating conditions. The experimental determination procedure is challenging and expensive calibration task since it requires a high number of tests. Many studies have focused on a limited level of parameters. In this study, design of experiments technique and deep neural network (DNN) modeling are used together. The experimental data set for the model is created using Taguchi L16 and L32 orthogonal arrays. The DNN model is developed to predict BSFC , N O x , HC, and CO emissions with speed, torque, injection timings and fuel quantities of each injection called as pilot1, pilot2, main, and post. In this way, it has become possible to evaluate the effects of a larger number of operating parameters in a wide range than the literature. The developed DNN model predicts the BSFC , N O-x , HC, and CO with R-2 0.939, 0.943, 0.963, and 0.966, respectively. Additionally, RMSE and MAE values for the model are between 0.024 and 0.048. The proposed method compared with the conventional look-up table method performs better in reducing the complexity and cost of experiments and exploration of the effects of injection parameters on engine emission and performance characteristics in a wide engine operating range. In conclusion, until 2300 rpm at specified torque (90 Nm), it is found that 70% of fuel quantity should inject in main injection to minimize BSFC and NOx emissions. The post injection quantity should be increased by reducing the amount of main injection from this operating condition on. Furthermore, it is observed that the ratios of pilot injection durations do not change with increasing engine speed, but quantity of first pilot injection is more than that of second pilot injection.Article Artificial Neural Network Modelling of Reactive Red 45 Azo Dye Removal by Peroxi-Electrocoagulation(Springer, 2025) Bayar, S.; Erdogan, M.; Tasdemir, A.; Kaleli, A.; Paloluoglu, C.In the present study, the Peroxi-electrocoagulation process was employed to remove chemical oxygen demand and the decolorization of reactive red 45 dye wastewater. This process offers several advantages, including the oxidation of dye molecules by hydroxyl radicals and coagulation through iron hydroxide precipitation. The reactor was equipped with six iron electrodes, providing a total surface area of 546 cm(2). The effects of applied current (0.3-0.18 A), hydrogen peroxide concentration (100-700 mg/L), initial pH (2.5-5.0), and dye concentration (100-500 mg/L) on chemical oxygen demand and color removal were investigated. Optimum operational conditions were determined to be applied current of 0.150 (corresponding to current density of 0.27 mA/cm(2)), pH of 3.0, H2O2 concentration of 600 mg/L, and dye concentration of 200 mg/L. Under these conditions, COD and color efficiencies reached 83% and > 99%, respectively. The specific energy consumption under optimal conditions was 33.4 kWh/kg COD with 82.8% COD removal. The findings indicate that increasing the applied current and H2O2 concentration enhances removal performance up to a certain threshold, beyond which no significant improvement is observed. This suggests that the availability of electrogenerated reagents governs the overall reaction efficiency. Additionally, an artificial neural network model was developed to predict COD and color removal efficiencies. The network employed a 4:10:2 architecture and was trained using a backpropagation algorithm. Input variables included applied current, pH, H2O2 concentration, and dye concentration. The model exhibited high predictive accuracy, with R-2 of 0.9782 for COD removal and 0.9579 for Color removal, confirming the effectiveness of the ANN in modeling.Conference Object Citation - Scopus: 4Real-Time Trajectory Tracking Control for Electric-Powered Wheelchairs Using Model-Based Multivariable Sliding Mode Control(Institute of Electrical and Electronics Engineers Inc., 2017) Ayten, K.K.; Dumlu, A.; Kaleli, A.In this paper, real-time trajectory tracking control of an electric-powered wheelchair (EPW), actuated by two DC motors, has been designed, analysed and studied. Two different control approaches such as nonlinear SMC and the classical proportional-integral-derivative (PID) are employed to increase the tracking performance of the electric-powered wheelchair. A nonlinear SMC technique has been presented in order to consider the complete dynamic model of the EPW and so as to increase trajectory tracking performance of the EPW. In this study, realtime experimental application of the two different control methods has been realized. Lastly, in terms of the results, the nonlinear SMC technique has improved the trajectory tracking performance of the designed EPW. © 2017 IEEE.Article Citation - WoS: 10Citation - Scopus: 16Experimental Analysis and Evaluation of Thermostat Effects on Engine Cooling System(Springer, 2021) Ghasemi Zavaragh, Hadi; Kaleli, Aliriza; Solmus, Ismail; Afshari, FarazThermostat as a part of engine cooling system has a significant role in the shortening warm-up time and regulating the engine in proper temperature to approach optimal performance. Whereas, there is not adequate research on this part of the cooling system and its responsibility. Considering this gap and also being used in large scale, this study is intended to evaluate performance and reflex of the wax type thermostat in different engine working conditions. In this regard, performance of engine cooling system was investigated in various engine speeds and loads to reveal positive and negative influences of thermostat on engine cooling efficiency and engine performance. According to observed results, warm-up period and fuel consumption decrease by using a thermostat. On the other hand, however, the temperature oscillation of coolant fluid passing through engine increases sharply, which causes a disruption in the regulating engine temperature and also a possibility of the fluid boiling rises in some regions of the engine that increases the risk of damage in the engine parts. Engine temperature, fuel consumption, warm-up duration and emissions were provided and compared in two operation modes, with and without thermostat.Article Citation - WoS: 5Citation - Scopus: 10Real-Time Implementation of Self-Tuning Regulator Control Technique for Coupled Tank Industrial Process System(Sage Publications Ltd, 2018) Ayten, Kagan Koray; Dumlu, Ahmet; Kaleli, AlirizaThis article presents the self-tuning regulator control technique for a coupled tank liquid level system that often used in industry. An autoregressive with exogenous model has been used as the liquid process model with the self-tuning control implementation in order to track the desired tank level trajectories with disturbances and uncertainties of the system dynamics. The designed self-tuning controller has been sensitive to parameter variations of the nonlinear coupled tank system. The parameters of the proposed controller are periodically updated themselves during the process by means of online recursive least square method with the forgetting factor algorithm. In this way, the parameter variations and unwanted disturbances of the system are eliminated in real-time application. In order to demonstrate the efficiency of the self-tuning regulator control technique, the real-time studies have been executed. The obtained experimental results demonstrated that the proposed controller gives the better trajectory tracking performance and smaller magnitude in overshot and undershot than the designed classical proportional-integral and sliding mode controllers.Conference Object Citation - Scopus: 2Real Time Parameter Estimation and Experimental Validation of Adaptive Self-Tuning Regulator for the Liquid Level Control Process(Institute of Electrical and Electronics Engineers Inc., 2017) Ayten, K.K.; Dumlu, A.; Kaleli, A.; Kaplan, N.H.This paper presents self-tuning control design problem for a coupled tank liquid level system that often used in industry. An auto regressive with exogenous (ARX) model has been used as the liquid process model with the self-tuning control implementation due to the flow between tank problem and varying system dynamics. The parameters of designing model have been calculated by using on-line recursive least square method with the forgetting factor algorithm. Additionally, to verify the effectiveness of the proposed model and control algorithm, detailed experimental was realized. © 2017 IEEE.
