Search

Search Results

• Design of Neural Predictor for Performance Analysis of Mountain Bicycles

  1-6.

  Şahin Yildirim

  Menderes Kalkat

  Views:

  185

  In recent years, bicycle races, along with the crest of the high technology continues to increase. Because of this increased races, performance of bicycles, in both biological and mechanical terms, is extraordinarily important and efficient. In terms of the ratio of cargo weight a bicycle can carry to total weight, it is also a most efficient means of cargo transportation. In spite of advanced technology, there are still some problems on bicycles during working conditions and road roughness such as on the mountain from tire and mechanical parts. In this investigation, a extraordinary designed with fiber-carbon body and light bicycle is tested on mountain road conditionswith prescribed trajectory on the mountain for different elevation, speed, hearth rate, bike cadence and average temperature. The real time measured parameters are predicted with proposed two types of neural networks for approaching real time neural network predictors. The results of the proposed neural network have shown that neural predictor has superior performance to adopt the real time bicycle performance.

• Performance Analysis of An Experimental Micro Flexible Manufacturing System (FMS)

  1-8.

  Şahin Yildirim

  Osman Yücel

  Views:

  115

  Due to advanced technology, it is very important the performance of FMS for sensivity, production quality, repeatability and energy consumptions. Flexible manufacturing systems (FMSs) are the most automated and technologically sophisticated of the machine cell types used to implement cellular manufacturing. An FMS usually has multiple automated stations and is capable of variable routings among stations, while its flexibility allows it to operate as a mixed model system. The FMS concept integrates many of the advanced technologies that we met in previous units, including flexible automation, CNC machines, distributed computer control, and automated material handling and storage.

  In this experimental investigation, vibration and accelerations analysis of an experimental FMS with 5 degrees of freedom robot manipulator are presented. Firstly, experimental measurement of accelerations and vibrations are trained with a vibration measurement system and sensors. However, the process of production of part is a cycle of exact production time.

• Vibration Analysis and Optimal Design of Pneumatic Circuits Using Artificial Neural Networks

  1-9.

  Şahin Yildirim

  Asli Durmuşoğlu

  Views:

  150

  Pneumatic systems are commonly used in industry processes and applications of automotion. These systems are make attractive power transmission with the compressed air, because of they are economic, clear, safe and simple structured.So in this systems, as noise and vibration effects, it’ s undesirable situations both human health and system performances yield and working life. In this study, vibration and noise datas are obtained from two type of pneumatic systems prototype which are classify metal and non-metal materials and performed an analysis with help of this datas and used neural network which has adaptive and quick contruction.

• An Algorithm of Avoiding Obstacles with Intelligent Objects

  1-4.

  Şahin Yildirim

  Ebubekir Yasar

  Views:

  77

  In this research a path planning which is the first step of motion planning in robotic applications, away from an obstacle in an environment where exist many obstacles is developed. Different from the algorithms in literature, a path away from an obstacle is planned without determining the configuration free space in a place that contains many different shaped obstacles with the help of intelligent objects that are created object oriented programming(OOP). With the help of this developed algorithm not only the probable paths but also finding the shortest path and correcting it with the help of intelligent objects are evaluated at the same time. This algorithm is so profound that it can form the basic principles of many original Works with the additional in future works.

• Noise and Performances Analysis of Commerical Aircrafts using Artificial Neural Networks

  1-6.

  Şahin Yildirim

  Views:

  92

  Commerical aircrafts are very important part for airway travelling. In spite of high technology on aircrafts, there is still fatality accidents in the world. Because of this reason, it is very important criteria to analyse noises of main elements of the air-craft systems. In tis study, an aircraft’s main disturbances are analysed with proposed neural networks. Firstly, the noises of the jet, turbine and fan were measured from the aircraft. Secondly, the measured parameter values were predicted the proposed neural networks. The results of the proposed neuarl approaches were shown that this type of neural predictors will be employed to predict aircrafts unpredicted disturbances in real time applications.

• Sway Control of 3-Cars Crane System Using Proposed Fuzzy-PID Controller

  1-8.

  Şahin Yildirim

  Aysegul Gordebil

  Views:

  275

  This paper presents a novel control approach for 3 cars crane systems. Nowadays; some problems for carrying unpredicted loads of crane systems exist. On the other hand; long bar loads are very important to carry without touch on other materials in factories. In this simulation study, fuzzy based controllers were designed to control vibrations of 3 cars crane system. The simulation results are improved and show this kind of controllers will be employed in real time such systems.

• Classification of Mushroom Data Set by Ensemble Methods

  1-4.

  Şahin Yildirim

  Mehmet Safa Bingöl

  Views:

  669

  Due to disease of mushrooms, it is very important to classify mushrooms for predicting the best quality mushrooms. There are many methods to analyse the main parts of mushrooms. For above mentioned descriptions; in this simulation study five types of classification algorithm are employed to predict the structure of mushrooms. Mushroom dataset is used to predict the classes of mushrooms. The results are improved that these methods will be used to predict exact mushrooms features and classifications in real time approaches.

• Trajectory Control of Designed Experimental Mobile Robot

  1-5.

  Şahin Yildirim

  Berkay Eren

  Views:

  319

  Due to advancing technology; nowadays mobile robot applications in hospitals have been increased. For that reason, it is very important and necessary to analyze the trajectory of such helping robotic system. However; there are many types of mobile robots have been utilized in hospital applications such as helping nurses. In this simulation study; a designed and controlled mobile robot was controlled by using standard feedback controllers. On the other hand, the robot was also tested with disturbances of ground surface roughness. The simulation results were improved that standard PID controller has superior performance to overcome surface roughness of the robot trajectory.