A computational tool for teaching-learning of mechanical parameters in transmission lines

Autor: João Lucas de Souza Silva, Danielle Bandeira de Mello Delgado, Hugo Soeiro Moreira, Daniel de Bastos Mesquita, Michelle Melo Cavalcante, Marcelo Gradella Villalva, Michelle Kitayama da S
Rok vydání: 2018
Předmět:
Zdroj: 2018 13th IEEE International Conference on Industry Applications (INDUSCON).
DOI: 10.1109/induscon.2018.8627263
Popis: A transmission line (TL) design involves complex mechanical parameters that require the use of software to process the calculation. Such complexity makes teaching-learning of transmission line projects difficult. In this context, the present work aims to develop a user-friendly computational tool for educational application in the mechanical study of transmission lines. The tool was developed from Matlab software based on mathematical models of the literature. Simulations in different conditions of an uneven span of TL, including the effect of the wind and, subsequently, the wind with temperature in the TL, is presented. As result, the acting forces and graphs obtained in the tool helped to observe the behavior of the mechanical parameters in the different simulated situations. Thus, the mechanical parameters of a TL studied on theory can be obtained for different conditions with the developed tool. For more, the tool demonstrates to be a facilitator for teaching-learning due to its user-friendly interface.
Databáze: OpenAIRE