manufacturing cell integrated with collaborative robotand 3-axis cnc machine.Students in the Engineering Technology programs are required to complete a yearlong three seriesof capstone course MET 42X Senior Design Project. This three-quarter course sequence aims totrain the students in identifying projects of relevance to society, in planning and scheduling asolution, and in entrepreneurial activities that may result from the project. The course is worth threecredit hours per quarter offering. The course is also intended to cover an industrial project startingfrom the proposal writing and conceptual design to final prototype building and concept realizationsteps. The course is focused on proposal and project progress report writing, prototype
techniques to designinstructional videos. However, there is a need to establish clear guidelines for implementingmixed reality techniques to augment training and education for design and manufacturingeducation. Faculty might also face cognitive dissonance when being pressured to utilize noveltechnologies within their pedagogy to implement the teaching curriculum. Cognitive dissonancecan also occur when a person holds two or more contradictory beliefs or attitudes. For example,faculty believing in the value of hands-on learning might question the efficacy of AR/VR tools.Still, they might also value exposing future engineers to the latest technology. Hence, wepropose a framework that faculty could use to develop a systematic transition plan for
-global-markets.html[4] Lightcounting, October 2020 Market Forecast Report, Lorton, VA: Lightcounting, 2020. [E-book] Available: https://www.lightcounting.com/report/october-2020-market-forecast-report-20[5] E. Verlage, S. Saini, A. Agarwal, S. Serna, R. Kosciolek, T. Morrisey and L. C. Kimerling,“Web-based interactive simulations and virtual lab for photonics education,” in FifteenthConference on Education and Training in Optics and Photonics: ETOP 2019, Québec City, P.Q.,Canada, May 21-24, 2019, ETOP 2019 Papers (Optica Publishing Group, 2019), paper11143_136.[6] M. Batty, “Digital twins,” Env. and Planning B: Urban Analytics and City Science vol. 45(5),pp. 817-820, 2018; doi: 10.1177/2399808318796416[7] A. Fuller, Z. Fan, C. Day and C. Barlow
processes rely on data sets obtained from numerical simulations, experimentalobservations, or combinations of both. Nikolakis et al presented a digital twin driven frameworkto enable the optimization of the planning and commissioning of human-based manufacturingprocesses using simulation [18]. The adaptation of ML for MAM is relatively new, and studieswere demonstrated in process parameter optimization for defects, geometric deviation, and in-situ imaging for real-time defect detection [19]. A detailed view of applications using ML and AIin MAM for different areas such as defect detection and correction, reducing residual stressesand failure during and after build, in situ metrology and design accuracy, microstructural design,alloy design and
vibration data from theexperimentation. They finally analyzed the experiment data using an FFT. Students worked in ateam to solve different project tasks. Sometimes team members did not have the prior technicalknowledge required for a task, but they were able to look for solutions by having discussions withthe project advisor and using learning strategies to find resources.For future work, the capabilities of the system can be extended to online analysis. Currently, theFFT was analyzed off-line. The authors plan to perform online analysis using LabVIEW capability.In addition to this, the system can integrate with a more physical measurement for other advancedmanufacturing processes. For example, the NI 9244 can be integrated for electrical
asperforming Robodk virtual reality simulation and off-line programming of industrial robots forautomated work cells in manufacturing. Authors are adding process simulation for roboticsmachining as well as part quality inspection with Ballbar methods to virtual modules to introducemore advanced topics to the existing curriculum. This paper focuses on the use of a ball-bar systemto compare the theoretical and actual path of a robot as it moves in a circle. The problem addressedin this paper is how to enhance student understanding of path tracking accuracy in circular motionsof CNC machines and industrial robots. This information eventually will be used to develop moreaccurate tool path planning using the robot as a machining tool.The significance of
] Fletcher, C., Ritchie, J. M., and Lim, T., “Virtual machining and expert knowledge capture.Paper presented at Digital Engagement 2011, Newcastle, United Kingdom. Mujber, T. S., T.Szecsi, and Hashmi, M. S. J., “Virtual reality applications in manufacturing process simulation,”Journal of Materials Processing Technology, 2004, p. 1834-1838.[13] Abdul-Hadi G. Abulrub, Karim Budabuss, Philip Mayer and Mark A.Williams, “The 3DImmersive Virtual Reality Technology Use for Spatial Planning and Public Acceptance.”, 2ndInternational Conference on Leadership, Technology and Innovation Management.[14] Virtual Reality – A new digital solution for the visualisation of offshore wind projects:https://ramboll.com/services-and-sectors/energy/wind-energy/virtual
. Bistarkey, “US manufacturing ecosystem key to economic growth, innovation, Competitiveness.,” Am. Ceram. Soc. Bull., vol. 101, no. 9, p. 47, 2022.[7] B. Esmaeilian, S. Behdad, and B. Wang, “The evolution and future of manufacturing: A review,” J. Manuf. Syst., vol. 39, pp. 79–100, Apr. 2016, doi: 10.1016/J.JMSY.2016.03.001.[8] L. Wang, S. Keshavarzmanesh, H. Y. Feng, and R. O. Buchal, “Assembly process planning and its future in collaborative manufacturing: A review,” Int. J. Adv. Manuf. Technol., vol. 41, no. 1–2, pp. 132–144, Mar. 2009, doi: 10.1007/S00170-008-1458- 9/METRICS.[9] Y. Cohen