Experimental and simulated air bending study assisted by digital image recognition
| Autor: | Contreras Garza, David Alejandro. |
|---|---|
| Přispěvatelé: | Hendrichs Troeglen, Nicolás Jorge., Tecnológico de Monterrey, Campus Monterrey, Rodríguez González, Ciro Ángel., Siller Carrillo, Héctor Rafael. |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: | |
| Zdroj: | Instituto Tecnológico y de Estudios Superiores de Monterrey ITESM Repositorio Institucional del Tecnológico de Monterrey |
| Popis: | Advanced High Strength Steels (AHSS) are being used in industry for their strength and low weight, but to manufacture them and form them correctly there is a need to predict the final geometry. Air bending generates a non-perfect geometry by nature, so there is a need for altérnate ways of measurement. Image recognition software is widely used for biomedical and biometrics applications. It has proven to automatically measure and characterize different aspects of an image in a reliable way. The proposed methodology of this study is to predict the final geometry of an air bending test and compare it with an image recognition algorithm so that the differences are detected automatically and faster than current methods. |
| Databáze: | OpenAIRE |
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