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Küçükoğlu, Sefa Furkan
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01. Izmir Institute of Technology
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Scholarly Output
5
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0
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3069/891
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0
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1
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3
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3
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0.60
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0.60
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2
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1
| Journal | Count |
|---|---|
| 4th International Conference of International-Federation-for-the-Promotion-of-Mechanism-and-Machine-Science ITALY (IFToMM ITALY) -- SEP 07-09, 2022 -- Univ Napoli, Naples, ITALY | 1 |
| 8th European Conference on Mechanism Science -- SEP 07-10, 2020 -- Cluj-Napoca, ROMANIA | 1 |
| GMM-Fachberichte | 1 |
| Mechanisms and Machine Science | 1 |
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Doctoral Thesis Actuation System Design of Kinesthetic Type Haptic Devices(01. Izmir Institute of Technology, 2024) Dede, Mehmet İsmet Can; Küçükoğlu, Sefa Furkan; Dede, Mehmet İsmet Can; 03.10. Department of Mechanical Engineering; 01. Izmir Institute of Technology; 03. Faculty of EngineeringManyetoreolojik sıvı tabanlı (MR) frenler kinestetik tipindeki haptik cihazların eyleyici sistem tasarımında tercih edilmektedir. Fakat MR frenin giriş (akım) ve çıkışı (tork) arasında histeri ilişkisine sahip olması istenmeyen bir özelliktir. Bundan dolayı, MR frenin histeri davranışının modellenmesi için iki gelişmiş ve ileri seviye derin öğrenme yöntemleri kullanılmıştır. Ayrıca eğitim ve test sinyallerinin çeşitliliğini artırmak için ön bir veri işleme adımı önerilmiştir. MR frenin doğrusal olmayan davranışının bir sonucu olan ters histeri içinde bir model önerilmiş ve önerilen model deneysel olarak doğrulanmıştır. Düz ve ters histeri yöntemlerinin doğrulanmasından sonra, bir aktif eyleyici ve bir MR frenden oluşan bir hibrit eyleyici sistem (HES) sunulmuştur. MR frenin kapalı hal torku ve yavaş tepkiye sahip olması gibi diğer kısıtlamaları da incelendi ve bu kısıtlamalar HES tarafından çözüldü. MR frenin geçici rejim davranışı analiz edildi ve bu geçici rejim tepkisini taklit eden bir matematiksel model önerilmiştir. Önerilen matematiksel modelinin performansının geleneksel olarak kullanılan birinci dereceden transfer fonksiyonun performansına kıyasla daha iyi olduğu tespit edilmiştir. Daha sonra HES oluşturulup, aktif eyleyici hem sistemin tepkisini hızlandırmada hem de kapalı hal torkunu elimine etmede kullanılmıştır. Kapalı hal torku; 0.178 Nm'den 0.008 Nm'ye düşürülerek büyük ölçüde ortadan kaldırılmış olup sistemin dinamik aralığı ise 15 dB'den 42.4 dB'e artırılmıştır. Sistemin zaman sabiti sadece MR fren yerine HES kullanıldığında 69.6ms'den 4.4ms'ye geliştirilmiştir.Conference Object Citation - WoS: 1Citation - Scopus: 1Modeling a Magneto-Rheological Fluid-Based Brake Via a Neural Network Method(Springer international Publishing Ag, 2022) Kucukoglu, Sefa Furkan; Dede, Mehmet Ismet Can; Dede, Mehmet İsmet Can; Küçükoğlu, Sefa Furkan; 03.10. Department of Mechanical Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyIdentifying the model of a magneto-rheological (MR) fluid-based brake is extremely important for designing and controlling a haptic device with hybrid actuation. Therefore, in this study, an Elman Recurrent Neural Network (ERNN) is designed to understand and model a characterization of an MR fluid-based rotational brake. Three important factors that affect the MR brake's performance are chosen as inputs: current, speed, and the first derivative of the input current. The proposed network is trained, and the performance of the network is tested with three different experimental scenarios. Then, the effect of these inputs on the system is investigated. According to the results, it can be said that the designed ERNN is a good candidate for modelling an MR brake.Conference Object Digital Twin of a Servo Driver of a Servo Motor as a First Step Towards a Digital Twin of a Robot Mechanism(Springer, 2022) Küçükoğlu, Sefa Furkan; Carbone, Giuseppe; Küçükoğlu, Sefa Furkan; Dede, Mehmet İsmet Can; 03.10. Department of Mechanical Engineering; 01. Izmir Institute of Technology; 03. Faculty of EngineeringDigital Twin (DT) offers us to acquire actual system’s critical information and hence, it may be possible to develop and produce more suitable systems in terms of low energy consumption and effectiveness. In this way, responsible consumption and production systems can be designed and the system’s parameters can be tuned via DT. In this study, the model of a servomotor system that is used for industrial purposes is experimentally obtained. This study consists of two steps. In the first step, within the embedded control of the system, position and velocity control loops are deactivated. Then through the servo driver, currents with sinusoidal waveforms at various frequencies are applied to the servomotor. The resultant angular velocity of the motor is monitored and recorded. The amplitude of the current is kept constant during this study. The frequency of the current, however, is increased logarithmically. By using these data, a first-order transfer function (TF) is identified for the motor model. In the second step, all control loops are activated. Consequently, the total servomotor system could be represented in a digital environment. Furthermore, the static friction issue is overcome by using a Coulomb friction model with stiction effect. Finally, several experiments are conducted and then results are compared with the digital model of the servomotor system. The results clearly show that digital model can fairly represent the physical system.Conference Object Citation - WoS: 2Citation - Scopus: 2Function Generation Synthesis of Planar Slider-Crank Linkages for Given 3 Positions and a Dead-Center Position(Springer Verlag, 2020) Kiper, Gokhan; Gorgulu, Ibrahimcan; Görgülü, İbrahimcan; Kiper, Gökhan; Küçükoğlu, Sefa Furkan; 03.10. Department of Mechanical Engineering; 03. Faculty of Engineering; 01. Izmir Institute of TechnologyFunction generation for finitely many positions and dead-center design problems are generally separately handled in the literature. This paper presents a mixed formulation for planar slider-crank linkages where three precision points and a folded or extended dead-center position are to be satisfied. The formulation results in an 8th degree univariate. Examples show that generally there are four real solutions, only two of which result in distinct solutions.Conference Object Training and Modelling the Non-Linear Behavior of an Mr Brake by Using Rnn and Lstm(VDE Publishing House, 2021) Karabulut, Mehmet Görkem; Karabulut, Mehmet Görkem; Küçükoğlu, Sefa Furkan; Dede, Mehmet İsmet Can; Dede, Mehmet İsmet Can; Küçükoğlu, Sefa Furkan; 03.10. Department of Mechanical Engineering; 01. Izmir Institute of Technology; 03. Faculty of EngineeringA magneto-rheological (MR) fluid-based semi-active actuation system, or in other words, an MR-fluid based brake system, was designed for displaying larger amount of resistive forces without jeopardizing the dynamic performance of a haptic interface. The working principle of the MR brake device depends on the viscous fluid called MR fluid that changes its viscosity when exposed to the magnetic field. Thus, generated resistive torque can be controlled via regulating the magnetic field by modifying the electrical current that passes along a coil which provides this magnetic field.Dynamic system modeling is required in order to develop a high-performance control. In this study, modeling methods of an MR-fluid based brake is investigated in terms of its friction and hysteresis characteristics.There are numerous works in the literature in which two well-known learning sequence methods, Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), are used for non-linear dynamic system modeling. In the scope of this study, the performance of RNN and LSTM are compared with the Bouc-Wen model which is commonly used in MR-fluid based system modeling. The effect of learning rate and the number of epoch being the important hyper-parameters, for RNN and LSTM models are investigated.In accordance with these information, both methods can be used for the control purposes of a MR-fluid based brake system. © VDE VERLAG GMBH · Berlin · Offenbach.