Computational Intelligence in Design and Manufacturing
Computational Intelligence in Design and Manufacturing
Global education in manufacturing strategy
Journal of Intelligent Manufacturing
Automotive engineering curriculum development: case study for Clemson University
Journal of Intelligent Manufacturing
Information technology enhanced learning in distance andconventional education
IEEE Transactions on Education
Simulation Tools for Power Electronics Courses Based on Java Technologies
IEEE Transactions on Education
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This paper presents a Computer-aided System known as the deep-drawing tool applied to the resolution of a combined deep-drawing and ironing process. The system allows the user for selecting input data for getting the formability of material to deep-drawing, selecting the process that provides the best solution from a technological perspective, optimizing the process for material waste, knowing the influence of the punch in the results and considering the process cost. In this manner, the tool allows developing competencies to students that apply scientific, technological, mathematical, economical and sustainable knowledge, with a global vision of the manufacturing processes and conciliating research and teaching. An industrial case has been considered and the proposed Computer-aided System has been tested with a brass alloy to demonstrate the system's capability. The results obtained show significant improvements in the two variables analyzed, namely, total process time and total manufacturing cost. These aspects provide competencies to students in the manufacturing environment.