Yazar "Atali, Gökhan" 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 ... -
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 ...