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- Virtual and Augmented Reality Application in Manufacturing Education
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- 2024 ASEE Annual Conference & Exposition
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Devi Kalla, Metropolitan State University of Denver
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Manufacturing Division (MFG)
industries are the anticipated factors to trigger the high demand for theDigital Twin platform over the forecast period.References[1] F. Tao, J. Cheng, Q. Qi, M. Zhang, H. Zhang, F. Sui, “Digital twin-driven product design,manufacturing, and service with big data,” Int. J. Adv. Manuf. Technol, vol. 94, pp. 3563–3576,2018.[2] X. Ma, J. Cheng, Q. Qi, F. Tao, “Artificial intelligence enhanced interaction in digital twinshop-floor,” Procedia CIRP, vol. 100, pp. 858–863, 2021.[3] T.K. Ren, Y. Chew, Y.F. Zhang, J.Y.H. Fuh, G.J. Bi, “Thermal field prediction for laserscanning paths in laser aided additive manufacturing by physics-based machine learning,”Comput. Methods Appl. Mech. Eng, vol. 362, 112734, 2020.[4] R. Stark, C. Fresemann, K. Lindow
- Conference Session
- Project-Based and Experiential Learning in Manufacturing
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- 2024 ASEE Annual Conference & Exposition
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Javaid S Siddiqi; Alan S Gandy; Sheng-Jen Hsieh, Texas A&M University
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Manufacturing Division (MFG)
. Discuss potential improvements for model accuracy.5. Exploring Practical Applications (30 mins): Guide students to brainstorm real-world applications of CV and AI. Encourage identifying synergies between different CV-driven technologies.6. Summary and Q&A Session (20 mins):Recap the day's key takeaways. Address any questions or curiosities.Instructor NotesDefinitions • Computer Vision (CV): A field of AI enabling computers to interpret and understand the visual world using digital images, videos, and deep learning. • Artificial Intelligence (AI): The simulation of human intelligence processes by machines, particularly computer systems.Object Detection and Challenges: • Light: Variability
- Conference Session
- Virtual and Augmented Reality Applications in Manufacturing Education
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- 2023 ASEE Annual Conference & Exposition
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Sajan Saini, Massachusetts Institute of Technology; Erik Verlage; Anuradha Murthy Agarwal; Drew Michael Weninger; Samuel Serna Otalvaro; Saif Rayyan; Glenda Simonton Stump, Massachusetts Institute of Technology; Trevor Morrisey, Massachusetts Institute of Technology; Christian Gabbianelli, Massachusetts Institute of Technology; Ira Fay, Massachusetts Institute of Technology; Caitlin Feeley, Massachusetts Institute of Technology; Jeff Bertrand; Bhargav Vipul Upadhyay; Achint Jain; Richard Eberhardt, Massachusetts Institute of Technology; Alan R. Kost, University of Arizona; John Ballato, Clemson University; Kapil Chalil Madathil, Clemson University; Sri Priya Sundararajan; Kenan Cicek; Dominic Gastaldo; Judith Perry, Massachusetts Institute of Technology; Eric Klopfer; Randolph E. Kirchain Jr., Massachusetts Institute of Technology; Richard Roth, Massachusetts Institute of Technology; Frank R. Field III, Massachusetts Institute of Technology; Elizabeth Moore, Massachusetts Institute of Technology; George Westerman, Massachusetts Institute of Technology; Lionel C. Kimerling, Massachusetts Institute of Technology
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Manufacturing Division (MFG)
, “Digital Twin: Enabling Technologies, Challengesand Open Research,” IEEE Access vol. 8, pp. 108952-108971, 2020; doi:10.1109/ACCESS.2020.2998358[8] F. Tao and Q. Qi, “Make more digital twins,” Nature vol. 573(7775), pp. 490-491, 2019; doi:10.1038/d41586-019-02849-1[9] Fire Hose Games. [Website] Available: https://www.firehosegames.com [Accessed March20, 2023][10] Educate Workforce. [Website] Available: https://educateworkforce.com [Accessed March20, 2023][11] BuildYourFuture.US [Website] Available: https://buildyourfuture.us [Accessed March 20,2023][12] A. Paul, N. Podolefsky, and K. Perkins, “Guiding without feeling guided: Implicitscaffolding through interactive simulation design,” AIP Conference Proceedings 1513, pp. 302-305 (2013); doi
- Conference Session
- Advancements in Sustainable Manufacturing Practices
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- 2024 ASEE Annual Conference & Exposition
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Zhenhua Wu, Virginia State University; Pamela Leigh-Mack, Virginia State University
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Manufacturing Division (MFG)
powermeasurements, and the NI 9211 can be integrated for thermocouples. The power and temperature,as well as the aforementioned force and vibration measurements, are desired for monitoring thefriction stir welding process.AcknowledgementThis work was supported by the NSF under Grant No.1818655 and Department of Engineering atVSU. Any opinions, findings, and conclusions or recommendations expressed in this material arethose of the author(s) and do not necessarily reflect the views of the NSF and VSU. The hard workfrom the VSU senior project group on “Design of a Monitoring System for ManufacturingProcesses” in 2021-2022 is thankfully acknowledged.Reference[1] Devarshi Shah, Jin Wang, Q. Peter He, Austin Hancock, Anthony Skjellum, “IoT
- Conference Session
- Virtual and Augmented Reality Applications in Manufacturing Education
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- 2023 ASEE Annual Conference & Exposition
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Tyler Hartleb, University of Calgary; Haedong Kim, The Pennsylvania State University; Richard Zhao, University of Calgary; Faisal Aqlan, University of Louisville; Hui Yang
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Manufacturing Division (MFG)
,” Communications of the ACM, vol. 55, no. 9, pp. 78–88, Sep. 2012, doi: 10.1145/2330667.2330687.[32] K. Pietroszek, “Raycasting in Virtual Reality,” in Encyclopedia of Computer Graphics and Games, 2018, pp. 1–3. doi: 10.1007/978-3-319-08234-9_180-1.[33] Di. Yu, Q. Zhou, J. Newn, T. DIngler, E. Velloso, and J. Goncalves, “Fully-Occluded Target Selection in Virtual Reality,” IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 12, pp. 3402–3413, Dec. 2020, doi: 10.1109/TVCG.2020.3023606.[34] R. Stoakley, M. J. Conway, and R. Pausch, “Virtual reality on a WIM: interactive worlds in miniature,” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1995, pp. 265–272. doi
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- Virtual and Augmented Reality Application in Manufacturing Education
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- 2024 ASEE Annual Conference & Exposition
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Israa Azzam, Purdue University; Farid Breidi, Purdue University at West Lafayette (PPI); Faisal Aqlan, University of Louisville
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Manufacturing Division (MFG)