Abstract:

The demands in the field of Engineering Education stand out as skills and attitudes required by the future engineer, assume a mental framework of behavior that facilitate them to operate in an environment of high mobility, in terms of knowledge and technologies. We are convinced that the knowledge about the educational reality engineering must be closely linked to the determinants -ever-changing and situational - of the action, and that the only way to establish a rational control is on the same multidisciplinarity.

The curricula of the Mechanical Engineering programs at our university include Advance Calculus at the third year of the engineering career, the authors experience is that students increased their interest and their appreciation for the contents if they are involved by learning in an applied way. The project proposal was a selection of contents related with Fluids Mechanics, by employing a platform of multiphysics simulation where Mathematics and varied Physics systems are involved to model the system behavior. We present a simulation performed by a multiphysics platform for designing and analyzing the behavior of industrial equipment. This simulation is carried out by applying the CDF and the technical module of creeping Flow of Comsol component that allows not only to build a computational model that represents the model to study by specifying the fluid physical and chemical conditions , but is also accessed information of the corresponding system velocities outlines and temperature gradients plotted in 3D.

This change in the context of learning in Engineering aims to put the emphasis on the interpretation of the various parameters of the systems under study, using the tools of symbolic manipulation; and the generation of a field of collaborative work; allowing the acquisition of capacity and impacting in the multidisciplinary student training. The advantages by using this kind of platform are centered in the difficulties presented by the conventional analytical methods to analyze complex geometries and to solve nonlinear systems.

Keywords:

Multidisciplinarity, simulation, fluid flow, technology.