Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/73F135EF-453F-4DC5-814E-825361E7EA90 | ||
| Year | 2025 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Ioannis Kalatzis, "Prediction of product of copper tube straightening machine using an artificial neural network", Diploma Work, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2025 https://doi.org/10.26233/heallink.tuc.104654 | ||
| Appears in Collections |
The thesis concerns the use of an artificial neural network in a machine designed to straighten copper tubes with a diameter of 12mm, which are initially supplied as raw material in coil form. The goal is to predict the final shape of the pieces based on the machine’s settings. This was achieved using data obtained through an experimental process. The ultimate objective is to assess whether the artificial neural network provides an accurate approximation, enabling the potential for practical application.
Copyright © DIAS 2013
