FEM and ANN modeling of stress concentration factors (Kt) of circular plates with various circular holes according to internal and external pressures
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Nur Zeynep Cengiz Bulut
Nur Zeynep Cengiz Bulut, born in 1996, studied Industrial Design Engineering at the Faculty of Technology, University of Gazi, Ankara, Turkey and completed her MSc at the same university. She has been studying PhD degree at the same university. Her main fields of interests are product design, biomimetics, finite element method, and optimization techniques.
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Murat Tolga Ozkan
Prof. Dr. Murat Tolga Ozkan, born in 1971, studied Manufacturing at the Faculty of Technology, Department of Machine, University of Gazi, Ankara, Turkey and completed his MSc and PhD at the same university. He promoted as Associate Professor in the Department of Industrial Design Engineering, Faculty of Technology, University of Gazi, Ankara at 2018. Currently, he is working as Professor, Department of Industrial Design Engineering, Faculty of Technology, University of Gazi, Ankara at 2020. His main fields of interest are manufacturing, machine design, finite element method, artificial neural network, mechanisms, and biomechanics.
and
Veysel Ozdemir
Prof. Dr. Veysel Ozdemir, born in 1965, studied Mechanical Engineering Department at the Faculty of Engineering, University of Gazi, Ankara, Turkey and completed his MSc and PhD at the same university. He promoted as Associate Professor in the Department of Industrial Design Engineering, Faculty of Technology, University of Gazi, Ankara at 2013. Currently, He is working as Professor, Department of Industrial Design Engineering, Faculty of Technology, University of Gazi, Ankara at 2019. His main fields of interest are machine design, thermodynamics, fluid mechanics, pressure vessels, etc.
Abstract
Stress concentration factors (SCFs) play a critical role in the structural integrity of circular plates subjected to internal and external compressive loading. This study uses Artificial Neural Networks (ANNs) and the Finite Element Method (FEM) to examine SCFs of circular plates with different circular hole configurations. The stress distribution and stacking patterns were thoroughly examined using FEM. Then, using geometrical and loading parameters, an ANN model was created that can predict SCFs. The FEM-generated data sets were used to train and validate the ANN model, which showed that it could generalize to various hole configurations and pressure levels. A comparison of the FEM and ANN findings revealed a strong connection, confirming the suggested ANN model’s dependability. The study’s conclusions offer valuable information for perforated plate design and optimization, offering a computationally effective substitute for traditional numerical methods.
About the authors
Nur Zeynep Cengiz Bulut, born in 1996, studied Industrial Design Engineering at the Faculty of Technology, University of Gazi, Ankara, Turkey and completed her MSc at the same university. She has been studying PhD degree at the same university. Her main fields of interests are product design, biomimetics, finite element method, and optimization techniques.
Prof. Dr. Murat Tolga Ozkan, born in 1971, studied Manufacturing at the Faculty of Technology, Department of Machine, University of Gazi, Ankara, Turkey and completed his MSc and PhD at the same university. He promoted as Associate Professor in the Department of Industrial Design Engineering, Faculty of Technology, University of Gazi, Ankara at 2018. Currently, he is working as Professor, Department of Industrial Design Engineering, Faculty of Technology, University of Gazi, Ankara at 2020. His main fields of interest are manufacturing, machine design, finite element method, artificial neural network, mechanisms, and biomechanics.
Prof. Dr. Veysel Ozdemir, born in 1965, studied Mechanical Engineering Department at the Faculty of Engineering, University of Gazi, Ankara, Turkey and completed his MSc and PhD at the same university. He promoted as Associate Professor in the Department of Industrial Design Engineering, Faculty of Technology, University of Gazi, Ankara at 2013. Currently, He is working as Professor, Department of Industrial Design Engineering, Faculty of Technology, University of Gazi, Ankara at 2019. His main fields of interest are machine design, thermodynamics, fluid mechanics, pressure vessels, etc.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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