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- Innovations in Manufacturing Laboratories
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- 2016 ASEE Annual Conference & Exposition
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Yanqing Gao, Oregon Institute of Technology; Fei-Yue Wang, Chinese Academy of Sciences; Wangping Sun, Oregon Institute of Technology; Xisong Dong, Qingdao Academy of Intelligent Industries; Xiwei Liu, Chinese Academy of Sciences; Qingdao Academy of Intelligent Industries; ShuangShuang Li, Chinese Academy of Sciences
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Diversity
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Manufacturing
Engineering Education: the CDIO Approach, Springer, 2007.[3] K. F. Berggren, D. Brodeur, E. F. Crawley, I. Ingemarsson, W. T. G. Litant, J. Malmqvist, S. Östlund. CDIO: An international initiative for reforming engineering education, World Transactions on Engineering and Technology Education, 2003,2(1):49-52.[4] A. Sripakagorn, R. Chancharoen, K. Maneeratana, K. Panyajirakul. An implementation of CDIO/design thinking in mechatronics projects, IEEE International Conference on Teaching, Assessment and Learning for Engineering: Learning for the Future Now, 2014: 516-521.[5] Y. Q. Wang, Z. Y. Qi, Z. Li, J. Yu, Y. Y. Zha. Review of CDIO research in China: From 2005 to 2011, World Transactions on Engineering and Technology Education
- Conference Session
- Supply Chain and Logistics in Manufacturing Education
- Collection
- 2016 ASEE Annual Conference & Exposition
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Victor Taratukhin, Stanford University; Yulia Yadgarova P.E., Bauman Moscow State Technical University; Anastasia Stelvaga, Skolkovo Institute of Science and Technology
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Manufacturing
: M = {X, Y, S, ta, δext , δint , λ},Where:X - set of input events;Y - set of output events;S - set of sequential states (also called the set of partial states);ta - time advance function used to determine the lifespan of a state;δext : Q × X → S - the external transition function defining how an input event changes astate of the systemδint : S → S - the internal transition function describing the way how system state changesinternally ϕ ϕλ :S →Y - is the output function where Y =Y ∪{φ} and φ ∉Y is a ”silent” or an”unobserved” event.Our model consists of the several equipment units represented as atomic models. Units statesare updated dynamically starting from the physical representation of the
- Conference Session
- Innovative Project-Based Learning Practices in Manufacturing
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- 2016 ASEE Annual Conference & Exposition
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Tzu-Liang Bill Tseng, University of Texas - El Paso; Aditya Akundi, University of Texas - El Paso; Teresa Wu, Arizona State University; Yirong Lin, University of Texas - El Paso
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Manufacturing
(1student). Both classes were given 2 weeks to work on the project. During the two weeks oftime, project review and Q&A session are given in the exact same way. At the end the twoweeks, project reports were expected from each group or each student. A quiz was given toassess the student learning outcomes of the knowledge related to the project. The wholeexperimentation setting is shown in Figure 2 (a) below. Figure 2 (b) shows the designrequirement of the shaft in a typical setup. (a) (b) Figure 2: (a) Settings for group and individual project, (b) typical view of shaft design.Therefore, by assessing the report and quiz, the learning outcome could be concluded
- Conference Session
- Make It!
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- 2016 ASEE Annual Conference & Exposition
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Rex H. Wong, Vaughn College of Aeronautics & Technology; Sheng-Jen Hsieh, Texas A&M University
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Manufacturing
errorsand debug the software logic mistakes. Most of all they will benefit from this hand-on experienceby involving in the entire process of construction from the beginning to the end in the field ofrobotics and automation [5].A Hand-on introduction Course to roboticsThe author teaches an undergraduate-level robotics and automation course for MechatronicsEngineering Technology students at a U.S. university. The course covers the following topics: Introduction to generic Robotics and background [Activity: viewing related video and Q &A; prepare the hardware and the software for the project; set up the teams.] Introduction to LEGO Robotics system (hardware & software) [Activity: Familiarize LEGO parts and open
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- Practical Teaching in Manufacturing
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- 2016 ASEE Annual Conference & Exposition
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Daniel J. Waldorf, California Polytechnic State University; Trian M. Georgeou, California Polytechnic State University
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Manufacturing
. Q. Fan, "Challenge of Model Based Definition Technology to Engineering Graphics Education", Applied Mechanics and Materials, Vol. 163, pp. 264-268, Apr. 201211. Ziemian, C. W., “A Systems Approach to Manufacturing as Implemented within a Mechanical Engineering Curriculum,” International Journal of Engineering Education, Vol. 17, No. 6, Pp. 558-568, 2001.12. Mott, R.J., Bennett, R.J., Stratton, M.J., and Scott Danielson, “Integration of Manufacturing into Mechanical Engineering Education Curricula,” ASEE Annual Conference, 2014.13. Danielson, S., Kirkpatrick, A., & Ervin, E., “ASME Vision 2030: Helping to Inform Engineering Education.” Frontiers in Education Conference Proceedings, IEEE/ASEE, October 12 - 15