Browsing by Author "Karaoğlan, Aslan Deniz"
Now showing items 21-40 of 55
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Multiobjective design optimization of stator for synchronous generator using bat algorithm and analysis of magnetic flux density distribution
Karaoğlan, Aslan Deniz; Perin, Deniz; Yılmaz, Kemal (Taylor & Francis Inc, 2022)In this study, we aimed to optimize 3000 kVAsynchronous generator (SG) stator design to obtain the desiredmagneticflux density distribution and efficiency. We usedMaxwell simulations for experiments on some design ... -
A new painting process for vessel radiators of transformer: wet-on-wet
Karaoğlan, Aslan Deniz; Çelik, Nihat (Taylor & Francis Ltd, 2016)The painting process of corrugated wall radiators of a distribution transformer is performed by a flow-down painting technique in the industrial field. This study has been prepared in accordance with ISO 12944-5. ... -
A new risk assessment approach for the analysis of musculoskeletal disorders
Gönen, Demet; Karaoğlan, Aslan Deniz; Ocaktan, Mustafa Ahmet Beyazit; Oral, Ali; Atıcı, Hilal; Kaya, Bünyamin (Gazi Univ, 2018)In this study a new risk assessment method for the evaluation of musculoskeletal disorders is proposed. "Musculoskeletal Discomfort Questionnaire" which was developed by Cornell University and widely used in the literature ... -
Optimal design of c-type passive filters based on response surface methodology for typical industrial power systems
Balcı, Murat Erhan; Karaoğlan, Aslan Deniz (Taylor & Francis Ltd, 2013)In this article, a response surface methodology based approach is proposed for the optimal design of C-type passive filters that can be employed in typical industrial power systems. The purpose of the optimization process ... -
Optimal design of single-tuned passive filters using response surface methodology
Sakar, Selçuk; Karaoğlan, Aslan Deniz; Balcı, Murat Erhan; Aleem, Shady H. E. Abdel; Zobaa, Ahmed F. (IEEE, 2015)This paper presents an approach based on Response Surface Methodology (RSM) to find the optimal parameters of the single-tuned passive filters for harmonic mitigation. The main advantages of RSM can be underlined as easy ... -
Optimization of cutting parameters in face milling with neural networks and taguchi based on cutting force, surface roughness and temperatures
Yalçın, Ümit; Karaoğlan, Aslan Deniz; Korkut, İhsan (Taylor & Francis Ltd, 2013)Prediction of cutting parameters as a function of cutting force, surface roughness and cutting temperature is very important in face milling operations. In the present study, the effect of cutting parameters on the mentioned ... -
Optimization of pı parameters for dsp-based permanent magnet brushless motor drive using response surface methodology
Demirtaş, Metin; Karaoğlan, Aslan Deniz (Pergamon-Elsevier Science Ltd, 2012)This paper proposes response surface methodology (RSM) for tuning Proportional Integral (PI) coefficients for a Permanent Magnet Brushless Direct Current (PMBLDC) motor drive. Overshoot and settling time data are obtained ... -
Optimization of welding job-shop scheduling problem under variable workstation constraint: An industrial application with Arena simulation based genetic algorithm
Karaoğlan, Aslan Deniz (Pamukkale Univ, 2022)Job-shop scheduling is a difficult issue for 'labor-intensive project type manufacturing'. Because in this type of production, the actual processing times are not exactly known until the production is finished and these ... -
Optimizing cetane improver concentration in biodiesel-diesel blend via grey wolf optimizer algorithm
İleri, Erol; Karaoğlan, Aslan Deniz; Akpınar, Şener (Elsevier Sci Ltd, 2020)Biodiesel and their blends with diesel have long been used as alternative fuels in diesel engines. In particular, B20 is recommended in most studies since it reduces the exhaust emissions and provides satisfactory engine ... -
Optimizing karnopp friction model parameters of a pendulum using RSM
Bıçakçı, Sabri; Akdaş, Davut; Karaoğlan, Aslan Deniz (Elsevier Science Bv, 2014)Accurate mathematical models of physical systems are essential for understanding the behaviour of actual systems under different operating conditions and for designing control systems. In mechanical systems, difficulty of ... -
Optimizing of wear performance on elevated temperature of ZrO2 reinforced AMCs using weighted superposition attraction algorithm
Şimşek, Doğan; Özyürek, Dursun; İleri, Erol; Akpınar, Şener; Karaoğlan, Aslan Deniz (Natl Inst Science Communication-NISCAIR, 2022)In the current study, the zirconium oxide (ZrO2) reinforced Aluminium Matrix Composites (AMCs) was designed as a brake lining and produced by mechanical alloying (MA) method. Wear tests of AMCs were performed according to ... -
Optimizing plastic extrusion process via grey wolf optimizer algorithm and regression analysis
Karaoğlan, Aslan Deniz (Natl Inst Science Communication-Niscair, 2021)One of the most widely used methods in the production of plastic products is the extrusion process. There are many factors that affect the product quality throughout the extrusion process. Examining the effects of these ... -
Optimizing plastic injection process using whale optimization algorithm in automotive lighting parts manufacturing
Karaoğlan, Aslan Deniz; Baydeniz, Burak (Natl Inst Science Communication-NISCAIR, 2021)In this study, using the whale optimization algorithm (WOA), one of the recent optimization algorithms inspired by nature, the plastic injection process parameters of an automotive sub-industry company were tried to be ... -
Optimizing the efficiently used nickel ratio in nickel plating process by using response surface methodology
Karaoğlan, Aslan Deniz; Meriç, Ayşe (Pamukkale Univ, 2019)Efficient usage of nickel, one of the important cost parameters of nickel chrome plating processes, is compulsory for competing. In this study, it is aimed to optimize the process parameters of the nickel baths of a ... -
Optimizing tribological performance in elevated temperature of TiC reinforced A356 matrix composites designed as automotive friction materials using dragonfly algorithm
Şimşek, Doğan; Özyürek, Dursun; İleri, Erol; Karaoğlan, Aslan Deniz (Sage Publications Ltd, 2022)The objective of this study designed in three steps is to evaluate the optimization of tribological performance in the elevated temperature of TiC reinforced A356 matrix composites, produced by mechanical alloying (MA), ... -
Performance comparison of residual control charts for trend stationary first order autoregressive processes
Data sets collected from industrial processes may have both a particular type of trend and correlation among adjacent observations (autocorrelation). Existing statistical control charts may individually cope with autocorrelated ... -
Plastik enjeksiyon ile üretilen otomobil aydınlatma parçalarının kalitesinin taguchi metodu ile iyileştirilmesi
Bağçeci, Ece Nur (Balıkesir Üniversitesi Fen Bilimleri Enstitüsü, 2023)Bu tez çalışmasında, bir otomotiv yan sanayi firmasında üretilen aydınlatma parçalarının plastik enjeksiyon proses parametrelerinin iyileştirilmesi amaçlanmıştır. Parçalarda enjeksiyon sonrası oluşan sararma ve mavileşme ... -
Plastik termoform prosesinin adaptif yanıt yüzey yöntemi ile eniyilenmesi: Şahlan Plastik firmasında uygulaması
Karaoğlan, Aslan Deniz; Alıcı, Gözde; Düzgün, Gamze; Sali, Sibel Gyunay (Balıkesir Üniversitesi, 2021)Bu çalışmada, plastik termoform süreci eniyilenmesi üzerine çalışılmıştır. Bu amaçla Balıkesir OSB’de faaliyet gösteren Şahlan Plastik firmasının termoform bardak şekillendirme süreci adaptif yanıt yüzey yöntemi (AYYY) ... -
Predicting the engine performance and exhaust emissions of a diesel engine fueled with hazelnut oil methyl ester: the performance comparison of response surface methodology and lssvm
Yılmaz, Nadir; İleri, Erol; Atmanlı, Alpaslan; Karaoğlan, Aslan Deniz; Okkan, Umut; Koçak, Mevlüt Süreyya (American Society of Mechanical Engineers (ASME), 2016)An experimental investigation was conducted to evaluate the suitability of hazelnut oil methyl ester (HOME) for engine performance and exhaust emissions responses of a turbocharged direct injection (TDI) diesel engine. ... -
A regression control chart for autocorrelated processes
In this study, we present a new regression control chart which is able to detect the mean shift in a production process. This chart is designed for autocorrelated process observations having a linearly increasing trend. ...
