Yazar "Özkan, Sinan Serdar" için listeleme
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Assessing the performance of state-of-the-art machine learning algorithms for predicting electro-erosion wear in cryogenic treated electrodes of mold steels
Çetin, Abdurrahman; Atali, Gökhan; Erden, Caner; Özkan, Sinan Serdar (Elsevier Ltd, 2024)In manufacturing, predicting and reducing electro-erosion wear during the electric discharge machining (EDM) process is critical to minimize delays, financial losses and product defects. Achieving this requires developing ... -
Ct ve mrı görüntülerinden matlab ortamında vücut uzuvlarının üç boyutlu modellerinin elde edilmesi ve örnek uygulama
Anli, Gökhan (Sakarya Uygulamalı Bilimler Üniversitesi, 2019)Bu çalışmada, Tıpta Dijital Görüntüleme ve İletişim (Digital Imaging and Communication on Medicine, DICOM) dosyalarını Matlab Grafiksel Kullanıcı Arayüzü (Grapichal User İnterface, GUI) ortamında görüntüleyebilecek ve ... -
Modeling Electro-Erosion Wear of Cryogenic Treated Electrodes of Mold Steels Using Machine Learning Algorithms
Çetin, Abdurrahman; Atali, Gökhan; Erden, Caner; Özkan, Sinan Serdar (Springer Science and Business Media Deutschland GmbH, 2024)Electro-erosion wear (EEW) is a significant problem in the mold steel industry, as it can greatly reduce the lifespan of electrodes. This study presents a machine-learning approach for predicting and modeling electrode and ... -
Path Planning for Multiple Mobile Robots in Static Environment using Hybrid Algorithm
Garip, Zeynep B.; Atalı, Gökhan; Karayel, Durmuş; Özkan, Sinan Serdar (Institute of Electrical and Electronics Engineers Inc., 2018)In global path planning, finding the optimal path between the starting point and the destination is one of the fundamental problems. Thanks to the recent developments in robotics, meta-heuristic optimization algorithms can ... -
Path Planning for Multiple Mobile Robots in Static Environment using Hybrid Algorithm
Garip, Zeynep B.; Atalı, Gökhan; Karayel, Durmuş; Özkan, Sinan Serdar (IEEE, 2018)In global path planning, finding the optimal path between the starting point and the destination is one of the fundamental problems. Thanks to the recent developments in robotics, meta-heuristic optimization algorithms can ... -
Prototyping an Industrial Robot Arm for Deburring in Machining
Deburring after production is an important problem for machining, casting and plastic forming in the manufacturing sector. The main subject of this study is to design a deburring robot arm. In the study, deburring operation ... -
Smart carrot chasing guidance law for path following of unmanned surface vehicles
Ünal, Osman; Akkaş, Nuri; Atalı, Gökhan; Özkan, Sinan Serdar (SAGE Publications Ltd, 2024)Carrot chasing guidance law is one of the most widely used path following algorithms due to its simplicity and ease of implementation; however, it has a fixed parameter which leads to large cross-tracking errors during ... -
Soğuk sac şekillendirme kalıbında projeksiyon kaynak sistemi tasarımı ve kaynak parametrelerinin deneysel ve teorik analizi
Albak, Bircan (Sakarya Uygulamalı Bilimler Üniversitesi, 2019)Bu çalışmada üzerinde projeksiyon (kabartılı nokta) kaynaklı somun bulunan bir otomobil torpido travers parçasının kaynak işleminin şekillendirme kalıbı içerisinde yapılmasını sağlayacak bir sistem tasarımı yapılması ve ... -
Treyler üretiminde monoray vinçli imalat prosesinin planlanması ve otomatik kontrolü
Koca, Kuntay (Sakarya Uygulamalı Bilimler Üniversitesi, 2019)Üretim kalitesini, iş verimliliğini, iş performansını arttırmak ve iş maliyetini düşürmek için günümüzde birçok akademik çalışmalar gerçekleştirilmektedir. İnsan, verimliliği, performansı, maliyeti ve ürün kalitesini ... -
Welding strength prediction in nuts to sheets joints: machine learning and ANFIS comparative analysis
This study uses machine learning algorithms and the Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict welding strength in DD13 sheet metal joints with AISI 1010 nuts. The objective is to optimize industrial welding ...