Global competitions and technological advances are forcing manufacturers, designers, and engineers to constantly innovate new product manufacturing strategies in reducing product development cost and time. Contemporary manufacturers have the option of selecting optimum technologies or processes to suit their manufacturing environment. Fast paced transformations in Engineering Technology (ET) field require new and enhanced learning and teaching strategies in engineering technology curriculum. More than ever, the educational advance is leaning towards meeting the demands of industrial world. Engineering Technology curricula needs to adapt to novel technologies and modern tools by enabling students to acquire meaningful and relevant practices. Laboratory activities should be incorporated into dry-lectured courses, being vital to ET programs, since they are ultimately enhancing the understanding process, leading towards developing experience-led engineering technology degree.
This paper describes a work-in-progress for a junior level Advanced Robotics and Mechatronics course that incorporates offline and virtual manufacturing engineering programming and automation concepts through a six axes industrial robot. The course itself is part of a seven-course minor sequence in robotics and automation. Blended online and physical laboratory activities are used to achieve both overall and project-specific learning objectives.
The overall course learning objectives include learning extensive knowledge of digital manufacturing using industrial robots and other common mechatronic components as well as performing Robodk virtual reality simulation and off-line programming of industrial robots for automated work cells in manufacturing. Authors adding process simulation for robotics machining as well as part quality inspection with Ballbar methods to virtual modules to introduce more advanced topics to the existing curriculum. This paper focuses on the use of a ball-bar system to compare the theoretical and actual path of a robot as it moves in a circle. The problem addressed in this paper is how to enhance student understanding of path tracking accuracy in circular motions of CNC machines and industrial robots. This information eventually will be used to develop more accurate tool path planning using the robot as a machining tool.
The significance of the methodology used in this course redevelopment is to combine theory and practice with modern tools to prepare the students to become better problem solvers and obtain practical solutions to real life/simulated problems using a hands on, lab-project-based approach.
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