Files and links (1)
https://peer.asee.org/modeling-and-experimental-verification-of-plc-codes-in-a-robotics-and-mechatronics-course
Published, Version of Record (VoR)Open Access (License Unspecified), Open
Conference proceeding
Modeling and Experimental Verification of PLC Codes in a Robotics and Mechatronics Course
2011 ASEE annual conference & exposition, pp.22.1073.1-22.1073.12
26 Jun 2011
Abstract
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.
Metrics
10 Record Views
Details
- Title
- Modeling and Experimental Verification of PLC Codes in a Robotics and Mechatronics Course
- Creators
- Richard Chiou - Drexel UniversityYongjin Kwon - Ajou UniversityRobin Kizirian - Drexel UniversityMatthew DordaiBret Alan Davis - Drexel University
- Publication Details
- 2011 ASEE annual conference & exposition, pp.22.1073.1-22.1073.12
- Conference
- 2011 ASEE Annual Conference & Exposition (Vancouver, BC, 26 Jun 2011–29 Jun 2011)
- Series
- ASEE Annual Conference & Exposition
- Publisher
- ASEE Conferences
- Number of pages
- 12
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Engineering Leadership and Society/Engineering Technology
- Identifiers
- 991019170142704721
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Education & Educational Research
- Education, Scientific Disciplines
- Engineering, Multidisciplinary