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Short CFD simulation activities in the context of fluid-mechanical learning in a multidisciplinary student body

Authors :
Pablo Rodríguez-Gonzálvez
Javier Ramón Sánchez
Alberto Sánchez-Patrocinio
Manuel Rodríguez-Martín
Ingeniería Cartografica, Geodesica y Fotogrametria
Escuela Superior y Tecnica de Ingenieros de Minas
Source :
BULERIA: Repositorio Institucional de la Universidad de León, Universidad de León, Applied Sciences, Vol 9, Iss 22, p 4809 (2019), BULERIA. Repositorio Institucional de la Universidad de León, Instituto de Salud Carlos III (ISCIII), Applied Sciences, Volume 9, Issue 22
Publication Year :
2019
Publisher :
MDPI, 2019.

Abstract

Simulation activities are a useful tool to improve competence in industrial engineering bachelors. Specifically, fluid simulation allows students to acquire important skills to strengthen their theoretical knowledge and improve their future professional career. However, these tools usually require long training times and they are usually not available in the subjects of B.Sc. degrees. In this article, a new methodology based on short lessons is raised and evaluated in the fluid-mechanical subject for students enrolled in three different bachelor degree groups: B.Sc. in Mechanical Engineering, B.Sc. in Electrical Engineering and B.Sc. in Electronic and Automatic Engineering. Statistical results show a good acceptance in terms of usability, learning, motivation, thinking over, satisfaction and scalability. Additionally, a machine-learning based approach was applied to find group peculiarities and differences among them in order to identify the need for further personalization of the learning activity.

Details

Language :
English
Database :
OpenAIRE
Journal :
BULERIA: Repositorio Institucional de la Universidad de León, Universidad de León, Applied Sciences, Vol 9, Iss 22, p 4809 (2019), BULERIA. Repositorio Institucional de la Universidad de León, Instituto de Salud Carlos III (ISCIII), Applied Sciences, Volume 9, Issue 22
Accession number :
edsair.doi.dedup.....8eebfa0a9c2adf710123155a0a97a411