Engenharia assistida por computador (CAD-CAE): implementação na grade curricular de curso de engenharia no Brasil

Abstract

This paper presents resources to motivate universities to include computational tools, particularly in the teaching of modeling (design) of dynamical assisted systems (CAD-CAE) in undergraduate courses. The engineering in Brazil have several features for mathematical representation of dynamical systems via differential equations but these resources are applied to mathematical problems merely didactic. As the problem becomes more complex, the solution becomes impossible, except in the case of postgraduate education (Masters or PhD), however, the modeling time in the thesis becomes unviable for the industry. The computer-aided tools are solved engineering problems in complex projects with excellent results. View the great importance of this area, the universities of Brazil still provide limited resources for computer-aided design teaching, among the reasons has been the absence of financial resources and also because not be contained in the curricular program. Thus, in this paper, we show some results of computer-aided models and present the importance of preparing future engineers in this area so that the industries have qualified manpower in order to increase the speed in obtaining the solutions. Projects of national industries, for the most part, are imported from matrix and the Brazil needs to emphasize this teaching methodology, thus seeking greater technological growth.

Manual básico ilustrado do Reômetro de torque Haake PolyLab OS

“…Apesar do uso de softwares de acesso aberto ter crescido nos últimos anos, os pacotes comerciais de simulação ainda são usados. Neste sentido,Komulainen et al (2012) relata algumas experiências no uso dos pacotes comerciais de simulação dinâmica D-SPICE e K-SPICE Diniz et al (2013). apresenta alguns resultados do uso de simuladores Os autores ainda citam que o curriculum futuro deve proporcionar habilidades nas áreas de programação, modelagem e simulação, algoritmos, gêmeos digitais e modelos de manutenção preditiva.O e-learning, o qual usa diversas ferramentas de aprendizado (softwares de simulação, animações, demonstrações de laboratório virtual, dentre outros) é discutido em um estudo de caso conduzido por Banday et al (2014), onde verificaram que esta abordagem é de mais difícil implementação sobretudo em instituições de países em desenvolvimento.…”