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Modeling and Experimental Verification of PLC Codes in a Robotics and Mechatronics Course
Conference proceeding   Open access

Modeling and Experimental Verification of PLC Codes in a Robotics and Mechatronics Course

Richard Chiou, Yongjin Kwon, Robin Kizirian, Matthew Dordai and Bret Alan Davis
2011 ASEE annual conference & exposition, pp 22.1073.1-22.1073.12
26 Jun 2011
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://peer.asee.org/modeling-and-experimental-verification-of-plc-codes-in-a-robotics-and-mechatronics-courseView
Published, Version of Record (VoR) Open Open Access (License Unspecified)

Abstract

Active learning Colleges & universities Computer simulation Discrete event systems Learning Mechatronics Modelling Programmable logic controllers Simulation Structural hierarchy Students Three dimensional models Automation Engineering Education Manufacturing Engineering Robotics
We have developed and implemented a discrete event simulation approach for introducing Programmable Logic Controller (PLC) Codes to undergraduate and graduate industrial and manufacturing engineering and technology students at Drexel University.Students learn the simulation methods necessary to support the modeling and verification of automated processes in a Robotics and Mechatronics course. Experimental case studies are derived from topics of interest to train manufacturing engineers for performing virtual simulations on PLC modeling systems. The virtual design process is split into three main sub-processes that are recommended to be performed in a hierarchical fashion. These design process structures include the Component 3D modeling stage, Logical I/O modeling stage, and the Cell 3D modeling stage. Both the virtual and physical models provide equivalent results. Course instruction is based on active learning. Tutorials and laboratories assist students in comprehending the simulation methods. Courses are taught with the computer-aided simulation software, PLC Studio, so that the combination of passive and active learning can be adjusted as appropriate to class meetings.

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#12 Responsible Consumption & Production
#9 Industry, Innovation and Infrastructure

Source: SDGs in the Output

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Education & Educational Research
Education, Scientific Disciplines
Engineering, Multidisciplinary
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