Person: KAYA, NECMETTİN
Loading...
Email Address
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
KAYA
First Name
NECMETTİN
Name
7 results
Search Results
Now showing 1 - 7 of 7
Publication Design optimization of a beam structure of machine tools(Amer Soc Mechanical Engineers, 2020-01-01) Genç, M. Onur; Kaya, Necmettin; KAYA, NECMETTİN; Mühendislik Fakültesi; Makine Mühendisliği BölümüIn order to improve the dynamic behavior and cutting accuracy of an industrial laser cutting machine tool, a new beam structure was designed using topology optimization technique. Beams hold the cutting head and laser beam mirrors of laser cutting machine tools. Weight, static and dynamic stiffness of the beam affect the dynamic performance of the machine tool. High weight and low dynamic stiffness in high acceleration and deceleration will result in the vibration of the machine body. In this paper, a new beam is designed using topology optimization to reduce the weight of the beam structure. Static stiffness and natural frequencies were obtained by finite element analyses. The mass reduction obtained was 18%, the maximum displacement is reduced by 13% and the first natural frequency of beam is increased by 29 % in comparison to the original beam. Also the use of aluminum instead of steel was examined and the results are compared.Publication Correlation between objective and subjective tests for vehicle ride comfort evaluations(Sage Publications Ltd, 2022-02-23) Boke, Tevfik Ali; Bozkurt, Rasim; Ergül, Murat; Özturk, Dogan; Emiroğlu, Sinan; KAYA, NECMETTİN; Albak, Emre Isa; Öztürk, Ferruh; ALBAK, EMRE İSA; ÖZTÜRK, FERRUH; Gemlik Asım Kocabıyık Meslek Yüksekokulu; Makine Mühendisliği Bölümü; 0000-0001-9215-0775; 0000-0002-8297-0777; I-9483-2017One of the most important criteria that vehicle customers take into consideration when buying vehicles is ride comfort. Ride comfort is determined in two different ways, called objective and subjective methods. This research presents an approach for subjective and objective evaluations of vehicle ride comfort through road tests. In this study, first, reliable driver evaluation for subjective tests is made and tests are performed with these reliable drivers. Correlation between objective and subjective test results is achieved for different vehicle types and road groups and software is developed to evaluate subjective ride comfort by using objective test data acquired from the vehicle. This software is intended to be used instead of subjective tests in future vehicle development studies.Publication Predictions of the design decisions for vehicle alloy wheel rims using neural network(Sage Publications Ltd, 2022-08-02) Topaloğlu, Anıl; Kaya, Necmettin; Öztürk, Ferruh; Topaloğlu, Anıl; KAYA, NECMETTİN; ÖZTÜRK, FERRUH; Mühendislik Fakültesi; Otomotiv Mühendisliği Bölümü; 0000-0002-8297-0777; GPL-5775-2022; R-4929-2018; JIW-7185-2023The weight and modal performance of the vehicle wheels are two essential factors that affect the driving comfort of a vehicle. The main objective of this study is to present an efficient approach to reduce the weight and enhance the modal performance of the wheel by reducing the design time and computational cost. The alloy wheel rim is often used for lightweight wheel design. In this study, an approach is presented for the lightweight design of alloy wheel rims. An intelligent approach based on neural networks (NNs) is introduced to predict the optimum design parameters of the wheel rim during the wheel design phase and to improve the wheel optimization process. The Latin hypercube and Hammersley designs of the experimental methods were used to obtain a training dataset with finite element analysis. The NN and multiple linear regression (MLR) models were trained to predict the weight, first-mode frequency, and displacement values. A multi-objective genetic algorithm was employed to optimize the design decisions based on the predicted values. It was used to compute the optimum results with both the NN and MLR models for a better prediction accuracy of the wheel rim design parameters. The proposed approach allows designers to optimize design decisions and evaluate design modifications during the early stages of the wheel development phase. The surrogate-based optimization method plays an important role in the wheel rim optimization process, particularly when the optimization model is established based on computationally expensive finite element simulations, testing, and prototypes. The results show the effectiveness of the NN-combined genetic optimization approach in predicting the responses and optimizing the design decisions for the alloy wheel rim design by reducing engineering time and computational cost.Publication Vibration damping optimization using simulated annealing algorithm for vehicle powertrain system(Eos Assoc, 2020-02-01) Genç, Mehmet Onur; Kaya, Necmettin; KAYA, NECMETTİN; Mühendislik Fakültesi; Makine Mühendisliği Bölümü; 0000-0002-8297-0777; R-4929-2018The clutch system in a vehicle's powertrain system controls torque transmission and has vibration damping properties. A vehicle's clutch system is subjected to high dynamic loads and vibrations, under operational conditions, that need further system analysis. The torque generated from the vehicle's engine creates vibrations at different levels of frequencies. For this purpose, vibration damping systems have to be designed to make the vehicle work more efficiently. In this study, the 1-D modeling of powertrain system, including metallic clutch damper springs, was subjected to vibration optimization with the Simulated Annealing (SA) algorithm. This novel methodology accelerates the powertrain system vibration optimization and provides assumptions eliminating cost and time in real vehicle testing.Publication Multi-objective optimization of build orientation considering support structure volume and build time in laser powder bed fusion(Walter De Gruyter Gmbh, 2022-03-28) Günaydın, Ahmet Can; Yıldız, Ali Rıza; Kaya, Necmettin; YILDIZ, ALİ RIZA; KAYA, NECMETTİN; Mühendislik Fakültesi; Makine Mühendisliği Bölümü; 0000-0003-1790-6987; 0000-0002-8297-0777; F-7426-2011; R-4929-2018Additive manufacturing is a production technology based on creating three-dimensional parts directly from computer-aided design data layer-by-layer. In recent years, it has been used in many industries with the production of functional, high-quality metallic parts with the powder bed fusion process by laser. The build orientation of the three-dimensional part has a major impact on many factors such as part quality, waste amount, production time, and cost. In this study, a multi-objective optimization is carried out using non-dominated sorting genetic algorithm-II to simultaneously optimize different objectives that may conflict with each other, such as the amount of support structure and build time. Estimation methods are developed for computing the amount of support structure and the build time, which reflect the current state of the technology. With the developed method, build orientation is optimized for a complex part, and the wide range of alternative results are visualized and evaluated. The design for additive manufacturing knowledge required to correctly perform the build orientation process is eliminated by automating the pre-processing stage. Therefore, the contribution is made to the accessibility and sustainability of the PBF-L, which has high process costs by minimizing support structure volume and build time.Publication The investigation of stress distribution on the tractor clutch finger mechanism by using finite element method(Amer Soc Mechanical Engineers, 2015-01-01) Karpat, Fatih; Doğan, Oğuz; Yüce, Cellaletin; Kaya, Necmettin; Cengiz, G.; ASME; KARPAT, FATİH; DOĞAN, OĞUZ; YÜCE, CELALETTİN; KAYA, NECMETTİN; Mühendislik Fakültesi; Makine Mühendisliği Bölümü; 0000-0001-8474-7328; 0000-0003-4203-8237; 0000-0003-1387-907X; 0000-0002-8297-0777; AAV-7897-2020; R-3733-2017; GXH-1702-2022; A-5259-2018; R-4929-2018In recent years, there has been an increasing demand for tractor usage for agricultural activities in the world. Tractors are an integral part of mechanization and have a crucial role to play to enhance agricultural productivity. They are used for many kinds of farm work, under various soil and field conditions. It provides agricultural activities in challenging conditions by using several farming equipment. During the operations, tractors have to efficiently transfer power from the engine to the drive wheels and PTO through a transmission. Tractor clutch is the essential element in this system. During the torque transmission, loads which occur on the clutch components cause damages. In many cases, especially PTO clutch finger mechanism is fractured under the torque transmission.In this study, finger mechanism, which used in tractor clutch PTO disc, is investigated. Finite element analyses were performed for two different thicknesses (3.5 and 4 mm) of the finger mechanism. Stress and deformation values which occur during the transfer of power in a safe manner are investigated for these thicknesses. The finger mechanism CAD models were created using CATIA V5 and then imported into ANSYS for static finite element analyses. As a result of the analyses, approximately 13% stress decreasing was observed with the increment of the 0.5 mm for the finger thicknesses. Results from the analyses provide an accurate prediction of the material yielding and load path distribution on the PTO clutch fmaer. To verify the analyses results prototype PTO finger mechanism was manufactured and was conducted bench tests. Consequently, a good correlation was achieved between fmite element model and test results.Publication Development of a novel testing procedure and optimisation of a rubber spring using constrained simulated annealing algorithm for automobile clutch system(Inderscience Enterprises Ltd, 2022-01-01) Genç, Mehmet Onur; Konakçı, Süleyman; Kartal, Samet; Serbest, Ali Kamil; Kaya, Necmettin; KAYA, NECMETTİN; Mühendislik Fakültesi; Makine Mühendisliği Bölümü; 0000-0003-0332-1785; 0000-0002-8297-0777The automotive industry is the area where rubber is widely used, however, the use of rubber based springs within the clutch system requires further investigation under dynamic conditions. In this study, the new methodology is proposed for the use of elastomer-based damper springs in automobile clutch system. The design of rubber damper spring and validation are comparatively investigated, and novel approach is developed. For this purpose, clutch usage on the automobile was simulated with a torsional fatigue test, which represents the loading and unloading case on damper springs at specific cycles and frequencies. Nitrile rubber (NBR) was chosen as the sample rubber spring, since it has representative material characteristics. As a result of the performed tests, a target stiffness value was obtained for the clutch requirements, and then a simulated annealing (SA) algorithm was coded in Python language and applied using specific design constraints from the response surface methodology (RSM).