Mekatronik Mühendisliği/Makale Koleksiyonu

Bu koleksiyon için kalıcı URI

https://hdl.handle.net/20.500.12395/15595

Listeleniyor 1 - 8 / 8

Adaptif bulanık mantık kontrolü ile maksimum güç noktası izleyici tasarımı ve gerçeklemesi
(Selçuk Üniversitesi, 2019) Zorlu, Kübra Nur; Saday, Abdülkadir; Sarıtaş, İsmail
Enerji ihtiyacının teknolojik gelişmelere ve popülasyona bağlı olarak günden güne artması, insanları alternatif enerji kaynakları bulmaya yönlendirmektedir. Alternatif enerji kaynakları arasında en çok kullanılan kaynak, farklı enerji türlerine dönüştürülebilmesi ve kolay erişilebilmesi nedeniyle güneş enerjisidir. Ülkemiz, güneş enerjisinin kaynak olarak kullanılması açısından elverişli bir konuma sahiptir. Güneş enerjisinden elektrik enerjisinin üretilebilmesi için fotovoltaik paneller kullanılmaktadır. Bu noktada önemli olan, fotovoltaik paneller yardımıyla kaynaktan alınan enerjiden mümkün olduğunca çok verim sağlayabilmektir. Yüksek seviyede verimin elde edebilmesi için, güneş ışınlarının panele mümkün olduğunca dik ve uzun süre ulaşması gerekmektedir. Bu amaçla da panelin güneşi izlediği sistemler geliştirilmiştir. Güneşi takip sistemleri tek veya iki eksenli olarak tasarlanmaktadır. Bu çalışmanın amacı, adaptif bulanık mantık kontrolü kullanarak, güneş takip sistemlerinin kontrolünü sağlamak ve güneş enerjisinden elde edilen verimin artırılmasını sağlamaktır. Bu amaç doğrultusunda, güneş enerjisinden maksimum verimin elde edilebilmesi için, adaptif bulanık mantık kontrollü bir maksimum güç noktası izleyici (MPPT) sistemi tasarlanarak gerçekleştirilmiştir.
Evaluation of The Classification Performance of Methods Developed in ANN Training
(Selçuk Üniversitesi, 2021) Yasar, Ali; Saritas, Ismail
In this study, the performance and success of some models used in the training of artificial neural networks are compared. The UCI machine learning database was used for the performance evaluation and comparison process and for the IRIS dataset), which we often encounter in performance evaluations. In the study, the classification performances of our data sets were calculated using Feedforward Neural Network Cross-Validation (FNN-CV), Probabilistic Neural Network Cross-Validation (PNN-CV) and Recurrent Neural Network Cross-Validation (RNNCV) learning techniques. Our data has been classified using a 10-fold cross validation technique. The RNN-CV method for the IRIS data set proved to be a good classification method by achieving 100% accuracy success which shows that it should be used in classification problems.
Effects of nanographene added to the matrix material at different rates on the Charpy impact energy
(Selçuk Üniversitesi, 2021) Demirci, Ibrahim; Saritas, Ismail
In this study, the Charpy impact behaviors and hardness values of nanographene-added epoxies, which are used in the aviation and space, automotive, and maritime industries that require advanced technology, were investigated. The additive ratio of nanographene used as the filling material in the matrix should be determined. Otherwise, poorly determined additive ratios reduce the impact resistance of the epoxies. In this study, nano graphene additive rates were determined as 0.5%, 0.8% and 1.2% by weight. Charpy impact tests were performed on the epoxy composites at these ratios and their hardness values were determined. A comment was made regarding the link between the increased nanographene values and hardness.
Weld defect categorization from welding current using principle component analysis
(SCIENCE & INFORMATION SAI ORGANIZATION LTD, 2019) Arabaci, Hayri.; Laving, Salman.
Real time welding quality control still remains a challenging task due to the dynamic characteristic of welding. Welding current of gas metal arc welding possess valuable information that can be analyzed for weld quality assessment purposes. On-line monitoring of motor current can be provided information about the welding. In this study, current signals obtained during welding in the short- circuit metal transfer mode were used for real-time categorization of deliberately induced weld defects and good welds. A hall-effect current sensor was employed on the ground wiring of the welding machine to acquire the welding current signals during the welding process. Vector reduction of the current signals in time domain was achieved by principle component analysis. The reduced vector was then classified by various classification techniques such as support vector machines, decision trees and nearest neighbor to categorize the arc weld defects or pass it as a good weld. The proposed technique has proved to be successful with accurate classification of the welding categories using all three classifiers. The classification technique is fast enough so it can be used for real time weld quality control as all the signal processing is carried out in the time domain.
Determination of sound transmission loss in lightweight concrete walls and modeling artificial neural network
(Selçuk Üniversitesi Mühendislik Fakültesi, 2018) Tosun, Mustafa; Dinçer, Kevser
In this paper, analysis of sound transmission losses through lightweight concrete walls was conducted against the high way trafic noises. The walls are generally used for thermal insulation purposes in Turkey. Sound transmission was modeled using ANN. Input parameters frequency, density of lightweight concrete wall and thickness of lightweight concrete wall structure (f, M, d2) and output parameter TS were described. When the outcomes of the TS analysis and those of ANN modeling are summarized together; Sound transmission losses improve with higher frequencies, higher wall densities and increased wall cross sections. Regardless of sufficient thermal insulation of single layered lightweight concrete walls as stipulated by the Turkey Institute of Standards (TSE 825), the wall cross sections were found to be insufficient in terms of sound transmission. Beside thermal insulation of the single layered lightweight concrete walls’ regulations, it was found with this study that, it is also necessary to analyze sound transmission lossess, after which the wall cross sections should be sized.
Preparation of polyaniline/ZnO nanocomposites by using arc-discharge synthesized zno nanoparticles and photocatalytic applications
(Selçuk Üniversitesi Mühendislik-Mimarlık Fakültesi, 2012) Eskizeybek, Volkan; Gülce, Handan; Gülce, Ahmet; Avcı, Ahmet; Akgül, Eda
Polyaniline (PANI) and PANI/ZnO nanocomposites were synthesized by the chemical oxidative polymerization of aniline and aniline with the presence of ZnO nanoparticles, respectively. The ZnO nanoparticles synthesized by arc-discharge method were used in this study to produce PANI/ZnO nanocomposites. Aniline/ZnO nanoparticles molar ratio was changed to investigate the effect of ZnO nanoparticles to the characteristic of the PANI. The scanning electron microscope analysis showed that ZnO nanoparticles were completely dispersed in PANI matrix homogeneously. It is revealed that shifting to the higher wavenumbers occurred by the increasing ZnO nanoparticle content in fourier transform infrared spectroscopy analysis. Furthermore, degradation of malachite green in aqueous solution was carried out with the prepared nanocomposites under ultraviolet irradiation. The experimental results showed that 1.2 g/L of the nanocomposite could catalyze green solution above 98% after 180 min of irradiation.
An axisymmetric contact problem for a bi-layered transversely isotropic slab resting on a rigid circular support
(Selçuk Üniversitesi Mühendislik-Mimarlık Fakültesi, 2012) Bay, M. İlker; Dağhan, Behcet; Uyaner, Mesut
This paper is concerned with the continuous contact problem of two transversely isotropic layers resting on a circular support. The external load is applied to the layers by a rigid cylindrical block. It is assumed that the contact between all surfaces is frictionless and body forces are not taken into account. The problem is formulated in terms of singular integral equations obtained from the continuous contact position. Equations are solved numerically by using the Gauss-Chebyshev integration method. Furthermore, numerical results as pressure distributions under the rigid cylindrical block are given for different material combinations.
Differential drive mobile robot trajectory tracking with using pid and kinematic based backstepping controller
(Selçuk Üniversitesi Mühendislik Fakültesi, 2017) Demirbaş, Faik; Kalyoncu, Mete
In this study, the mathematical model of a nonholonomic vehicle was derived. A PID and kinematic based backstepping controller (KBBC) was designed for a differential drive mobile robot to be able to track a desired trajectory. The KBBC was used to overcome the nonlinearity of the trajectory tracking and the PID controllers was used for the DC motors’ speeds adjustments. Responses of the vehicle’s controller in the square shaped trajectory had obtained and results were graphically presented. The effectiveness of the designed controller has been discussed.

Güncel Gönderiler