material characterization. In 2014 International Conference on Interactive Collaborative Learning (ICL), pages 977–982. IEEE, 2014.[30] Claudius Terkowsky, Isa Jahnke, Roberto Licari, Per Johannssen, Gianluca Buffa, Matthias Heiner, Livan Fratini, Ernesto LoValvo, Mihai Nicolescu, Johannes Wildt, et al. Developing tele-operated laboratories for manufacturing engineering education. platform for e-learning and telemetric experimentation (petex). International Journal of Online and Biomedical Engineering (iJOE), 6(5):60–70, 2010.[31] Mauricio Hincapie, Oscar Salas, Miguel Ramirez, and B Carranza. Implementation of a teleoperated didactic manufacturing cell through internet2 as a means of engineering education*. International
welded with an overlapping cross section of35.8 by 26.3 mm as seen in Fig. 1. The welder that was used was a model 1-24-20 ACMERocker Arm Resistance Spot Welder, which can be seen in Fig. 2a, and the specifications andinformation can be seen in Fig. 2b. The welding controller was an Enron EN1000-B and was seton schedule No. 12, as seen in Fig. 3. All the welding was done with a clamping force of 2kN,with a current of 12kA, for 1.5 seconds. This type of welder, or one of similar specifications, canbe found in most educational manufacturing laboratories, and the operation of the machine isvery beginner friendly, so instructors can even guide students to operate the welder themselves.Once the machine was set up and ready for use, the Al and Fe were
the EOP framework serves as a model for sustainable engineering education,highlighting the potential for curricula to not only improve technical proficiency but also instill acommitment to ethical and sustainable practices in the next generation of engineers.References 1. B. R. Ruben and A. P. Vinodh, "State of art perspectives of lean and sustainable manufacturing," Int. J. Lean Six Sigma, vol. 10, no. 1, pp. 234–256, 2019. 2. G. Miller, J. Pawloski, and C. R. Standridge, "A case study of lean, sustainable manufacturing," J. Ind. Eng. Manag., vol. 3, no. 1, pp. 11–32, 2010. 3. C. Alves, F. J. Kahlen, S. Flumerfelt, and A. B. Siriban-Manalang, "Fostering Sustainable Development thinking through lean engineering education
(IN-MaC).References[1] A. Murgai, “Transforming digital marketing with artificial intelligence,” Int. J. Latest Technol. Eng. Manag. Appl. Sci., vol. 7, no. 4, pp. 259–262, 2018.[2] S. Lund et al., “The future of work in America. People and places today and tomorrow.,” McKinsey Global Institute, 2019. [Online]. Available: http://dln.jaipuria.ac.in:8080/jspui/bitstream/123456789/11008/1/The-Future-of-Work-in- America-Full-Report.pdf[3] M. Calzavara, D. Battini, D. Bogataj, F. Sgarbossa, and I. Zennaro, “Ageing workforce management in manufacturing systems: state of the art and future research agenda,” Int. J. Prod. Res., vol. 58, no. 3, pp. 729–747, 2020, doi: 10.1080/00207543.2019.1600759.[4] K. Song, G. Kim, H. Yun, B.-K
Gandhi, and L. Ding, “Curriculum Design for Sustainability of Globally IntegratedManufacturing,” Jul. 2015, doi: https://doi.org/10.18260/p.23770.[4] E. Paravizo, O. C. Chaim, D. Braatz, B. Muschard, and H. Rozenfeld, “Exploring gamification tosupport manufacturing education on industry 4.0 as an enabler for innovation and sustainability,” ProcediaManufacturing, vol. 21, pp. 438–445, 2018, doi: https://doi.org/10.1016/j.promfg.2018.02.142.[5] K. Raoufi and K. Haapala, “Manufacturing Process and System Sustainability Analysis Tool: A Proof-of-Concept for Teaching Sustainable Product Design and Manufacturing Engineering,” doi:https://doi.org/10.1115/1.4064071%5D.[6] I. Roeder, M. Severengiz, R. Stark, and G. Seliger, “Open Educational Resources as
-10, 2020, doi: doi: 10.2777/082634.[5] B. Gladysz, T.-a. Tran, D. Romero, T. van Erp, J. Abonyi, and T. Ruppert, "Current development on the Operator 4.0 and transition towards the Operator 5.0: A systematic literature review in light of Industry 5.0," Journal of Manufacturing Systems, vol. 70, pp. 160-185, 2023.[6] D. Romero and J. Stahre, "Towards the resilient operator 5.0: the future of work in smart resilient manufacturing systems," Procedia CIRP, vol. 104, pp. 1089-1094, 2021, doi: https://doi.org/10.1016/j.procir.2021.11.183.[7] K. B. Fillingim and T. Feldhausen, "Operator 4.0 for Hybrid Manufacturing," Proceedings of the Design Society, vol. 3, pp. 2835-2844, 2023.[8] T
Tutorial for HoloLens 2Each high school involved in this grant project received the following equipment and theirassociated software as well as consumables needed for the equipment: ● 24 IoT kits ● 2 Structure Core 3D Scanners and 4 Apple iPads. ● 1 HoloLens 2 ● 1 VEX V5 Work cell System ● 10 Creality CR-10 FFF 3D printers ● 1 Elegoo Mars SLA 3D printerHopewell High School dedicated one of their classrooms as a digital manufacturing laboratoryafter working with the project team (Figure 3). Figure 3. Digital manufacturing laboratory at the Hopewell High SchoolMultiple training sessions were organized for the high school students and their teachers (Figure4a and b). Student training took place at the high schools, when
methods to address the students’ diverse learningstyles.Our research team is currently working on developing shared MR environments to allow formore comprehensive collaborative experiences among students. So, as future work, our teamaims to refine the MR module and upgrade it from single-user to multi-user operation, allowingfor synchronized shared experiences and conducting another research study.References[1] B. Jaeger and A. Upadhyay, “Understanding barriers to circular economy: cases from the manufacturing industry,” J. Enterp. Inf. Manag., vol. 33, no. 4, pp. 729–745, 2020.[2] S. Helper, T. Krueger, and H. Wial, “Why Does Manufacturing Matter? Which Manufacturing Matters? A Policy Framework,” SSRN Electron. J., Feb. 2012, doi
following is an example of sequence of operations, including a. Thestart button is closed, the conveyor (or lamp) starts to move, carry a workpiece, and stop it in afixture (in front of the photoelectric switch sensor), activating the photoelectric sensor, b. Openthe air and clamp the workpiece for 10 seconds, c. The robot moves to the location above theworkpiece, d. The motor rotates, e. The robot comes back to the original location, and f. Steps 1-5 are repeated 5 times. Figure 3. Robot program and programmable ladder logic (Allen-Bradley PLC)For Yamaha robot controller programming (RCX40), students check the program and program themotion defined by the commands between PLC and robot controller. Students make a new programin RSLogix 5000
styles," Int. Rev. Res. Open Distrib. Learn., vol. 19, no. 1, Feb. 2018.[3] R. E. Mayer, "Evidence-based principles for how to design effective instructional videos," J. Appl. Res. Mem. Cogn., vol. 10, no. 2, pp. 229–240, Jun. 2021.[4] K. Suriyawansa, N. Kodagoda, L. Ranathunga, and N. A. B. Abdullah, "An approach to measure the pedagogy in slides with voice-over type instructional videos," Electron. J. E- Learn., vol. 20, no. 4, pp. 483–497, Nov. 2022.[5] M. Soliman, D. Dalaymani-Zad, M. Gronfula, and M. Kourmpetis, "The Application of Virtual Reality in Engineering Education," NATO Adv. Sci. Inst. Ser. E Appl. Sci., vol. 11, no. 6, p. 2879, Mar. 2021.[6] D. Vlah, V. Čok, and U. Urbas, "VR as a 3D Modelling Tool in
, "NextFlex Learning Programs," [Online]. Available: https://www.nextflex.us/ewd/.[9] L. B. Darr, "Expand DOL Schedule A Shortage Occupations.," 20 Feb 2024. [Online]. Available: file:///C:/Users/petitti.9/Downloads/ETA-2023-0006-0066_attachment_1.pdf.[10] P. Bransberger, C. Falkenstern and P. Lane, "Knocking at the College Door, Projections of High School Graduates," Western Interstate Commission for Higher Education, Boulder, 2020.[11] Nation Center for Education Statistics, "Immediate College Enrollment Rate," May 2024. [Online]. Available: https://nces.ed.gov/programs/coe/indicator/cpa/immediate-college-enrollment-rate.[12] National Association of Manufacturers, "High School Grads Are Choosing Work Over College," 9 Jun 2023. [Online
. R. Spillane, J. Menold, and M. B. Parkinson, "Broadening participation in learningfactories through Industry 4.0," Procedia Manufacturing, vol. 45, pp. 534–539, 2020.[Online]. Available: https://doi.org/10.1016/j.promfg.2020.04.074. [Accessed: Jan. 15, 2025].8. T. Y. Mou, "Students' evaluation of their experiences with project-based learning in a 3Ddesign class," Asia-Pacific Education Researcher, vol. 29, pp. 159–170, 2020. [Online].Available: https://doi.org/10.1007/s40299-019-00462-4.9. U. Wagner, T. AlGeddawy, H. ElMaraghy, and E. Müller, "The state-of-the-art andprospects of learning factories," Procedia CIRP, vol. 3, pp. 109–114, 2012. [Online].Available: https://doi.org/10.1016/j.procir.2012.07.020. [Accessed: Jan. 15, 2025].10
Content Access, Virtual On line. 10.18260/1-2—35493[6] Cuiffi, J. D., & Wang, H., & Heim, J., & Anthony, B. W., & Kim, S., & Kim, D. D. (2021, July), Factory 4.0 Toolkit for Smart Manufacturing Training Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org/37176[7] Ekong, J., & Chauhan, V., & Osedeme, J., & Niknam, S., & nguyen, R. (2022, August), A framework for Industry 4.0 workforce training through project-based and experiential learning approaches Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. https://peer.asee.org/40637[8] Kibira, D., Brundage, M. P., Feng, S., & Morris, K. C. (2017). Procedure for
Paper ID #45574Collaborative Problem-Solving in Mixed Reality Environments for ManufacturingAssembly TasksMs. Israa Azzam, Purdue University at West Lafayette Israa joined the School of Engineering Technology at Purdue University as a visiting scholar in September 2021. She conducts research on the design, modeling, simulation, and control of complex fluid power and mechanical systems. Prior to her appointment as a visiting scholar at Purdue, Israa was a graduate research and teaching assistant at the American University of Beirut (AUB) Lebanon from 2019 to 2021. She conducted research on dynamic system control theory
, outcomes reporting averagedscores across students and anonymized class names. A simple analysis compares the averageperformance of in-person students to students who attended "mostly online" or, in some cases,"sporadically online," as judged by the instructor. The summary also tracks how many studentsin each modality meet or exceed the baseline outcome of 70%.Table 3 presents the summary data of student performance from the six manufacturing andautomation courses. In summary, in Courses A, B, and D, the online students performed betteron average than the in-person students. In Course C, the in-person students performed, onaverage, 6.6 points better but still in the same letter grade category.In four of the six classes, all of the student
Paper ID #38913Taking an Experiential Learning Approach to Industrial IoTImplementation for Smart Manufacturing through Course Work andUniversity-Industry PartnershipsEunseob Kim, Purdue University Eunseob Kim is a Ph.D. student in the School of Mechanical Engineering at Purdue University, IN, USA. He received his BS degree in Mechanical Engineering from Gyeongsang National University, Korea in 2013, and his MS degree in Mechanical and Aerospace Engineering from Seoul National University, Ko- rea in 2016. His research interests include smart monitoring, sound recognition, and artificial intelligence application for
beliefs through the Scaffolded TPACK Lesson Design Model (STLDM). Learning: Research and Practice. doi:10.1080/23735082.2017.1360506Chien, Y.-H. (2017). Developing a pre-engineering curriculum for 3D printing skills for high school technology education. Eurasia Journal of Mathematics, Science and Technology Education, 13(7), 2941-2958.Groover, M. (2011). Introduction to Manufacturing Processes (1st ed.). Wiley.Groover, M. (2015). Fundamentals of Modern Manufacturing: Materials, Processes, and Systems (6th ed.). Wiley.Gross, B., Erkal, J., Lockwood, S., Chen, C., & Spence, D. (2014). Evaluation of 3D printing and its potential impact on biotechnology and the chemical sciences. Analytical Chemistry, 86(7
05,2023, from https://www.keyence.com/products/vision/vision-sys/vs/4. Cognex. DataMan 470 Specifications.Cognex. Retrieved December 05,2023, from https://www.cognex.com/products/barcode-readers/fixed-mount-barcode-readers/dataman-470-se ries/specifications5. Taleghani, M., Ansari, H. R., Jennings, P., Renewable energy education in sustainable architecture: lessons from developed and developing countries. Energy Education Science and Technology Part B- Social and Educational Studies, 2010. 2(3-4): p. 111-131.6. Sirinterlikci, A. (2014, June), “Interdisciplinary Capstone Projects”, 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. 10.18260/1-2—206917. Manufacturing USA Annual
why not, using examples from your interactions. Response: Open-text field.Section 5: Perceptions of Entrepreneurial Behaviors 14. Rate the following statements: Scale: Strongly Agree, Somewhat Agree, Neither Agree nor Disagree, Somewhat Disagree, Strongly Disagree. o When working in a group, I ensure everyone participates. o I can change plans quickly and effectively when needed. o I enjoy solving problems and thinking of new ideas. o I investigate both sides of an argument. o I like having a backup plan in case my original plan doesn’t work.Appendix B: Full Table of Skills Gained Skill N Themes Fixed Independent Work on Tasks
2practices worldwide. The aim is for the Advanced Four Pillars to be a living documentwith periodic reviews to remain current.Four Pillars BackgroundThe Four Pillars of Manufacturing Knowledge, (Four Pillars) was first published in 2011as a component of the Curricula 2015; A Four Year Strategic Plan for ManufacturingEducation [1] (see Figure 1). The concept of the four pillars includes foundation skills inA) Mathematics and Science and B) Personnel Effectiveness with four major categories:1) Materials and manufacturing processes; 2) Product, tooling, and assembly engineering;3) Manufacturing systems and operations; and 4) Manufacturing competitiveness. Mottet. al. [2] credits the process of developing the Four Pillars to the Society ofManufacturing
Paper ID #36706Board 124: MAKER - Recycling HDPE in an Academic MakerspaceDr. Austin Talley, Texas State University Dr. Austin Talley is an Assistant Professor of Practice in the Ingram School of Engineering at Texas State University. Prior to joining the faculty at Texas State University, Dr. Austin Talley worked as a manufacturing quality engineer for a test and measurement company, National Instruments, in Austin, TX. Dr. Austin Talley is a licensed by state of Texas as a Professional Engineer. Both of Dr. Austin Talley’s graduate degrees, a doctorate and masters in Mechanical Engineering, manufacturing and design
modules with the broader manufacturing educationcommunity soon so other instructors can incorporate this material into their own courses.References[1] ABET Engineering Accreditation Commission, “Criteria for accrediting engineering programs,” Baltimore, MD, 2020.[2] B. Harding and P. McPherson, “What Do Employers Want In Terms Of Employee Knowledge Of Technical Standards And The Process Of Standardization?,” in Proceedings of the 2010 ASEE Annu. Conf. & Expo., Louisville, Kentucky, Jun. 2010.[3] A. S. Khan, A. Karim, and J. A. McClain, “The state of the use of standards in engineering and technology education,” in Proceedings of the 2013 ASEE Annu. Conf. & Expo., Atlanta, GA, Jun. 2013.[4] Y. Yao, S. Kelley, and Rider
, will further strengthen the system's capabilities,paving the way for widespread implementation across renewable energy sectors. With continueddevelopment, this system can play a critical role in achieving a greener and more sustainablefuture.AcknowledgementThis work has been supported by the US Department of Education under the joint MSEIP Programwith the University of Texas at El Paso, PR/Award No.: P120A220044. The authors wish to expresssincere gratitude for their financial support.References1. Chiou, R., & Singh, I., & Senthilvel Kavitha, A. K., & Tseng, T. B., & Rahman, M. F., & Vasudevan, N. (2024, June), Virtual Reality Wind Turbine for Learning Green Energy Manufacturing Paper presented at 2024 ASEE Annual
platformsto redesign some critical components, perform stress and deformation analysis, upgrade, andmanufacture them. Some critical components of multirotor and fixed-wing UAVs includepropellers, motor mounts, chassis, booms, and landing gears. Students are focused on (a)studying the existing frames and other mechanical components of UAVs/drones to optimize thestructural design for better strength-to-weight ratio, (b) utilizing CAD or reverse engineeringtechniques to create computer models of the mechanical components, (c) using Finite ElementAnalysis software to simulate and validate the ability of mechanical components to withstand theworst case stress levels within allowable deformation in real word operation, (d) using carbonfiber composite
Paper ID #42846Providing Research Experience to Undergraduate Students in NASA SummerBridge and Internship ProgramsDr. Akbar M. Eslami, Elizabeth City State University Dr. Akbar Eslami is a professor and Engineering Technology coordinator in the Department of Math, Computer Science, and Engineering Technology at Elizabeth City State University. He received his Ph.D. in Mechanical Engineering from Old Dominion University. His research interests are in Computer Aided Design and Manufacturing, Simulation, Reverse Engineering, and Finite Element Analysis.Dr. Kuldeep S Rawat, Elizabeth City State University KULDEEP S. RAWAT is
Paper ID #44567Affordable and Localized Plastic Sheet Press Machine for Sustainable ManufacturingKenny Dwight Harris, Vaughn College of Aeronautics and Technology My Name is Kenny Harris, there are several things to know about myself, being a senior mechatronic engineering student at Vaughn College of aeronautics and technology. However, here are three important items related to myself: I am an eight-year Marine Corps veteran and an immigrant hailing from the island of Jamaica; finally, and most importantly, I make it a duty to participate in engineering related activities such as clubs, conferences and currently serve
Institute of Technology (COE) Rui Liu is currently an Assistant Professor in the Mechanical Engineering Department at Rochester Insti- tute of Technology. He received his B.S. degree at Beijing University of Aeronautics and Astronautics, China, in 2005. In 2010, he received his M.S. in Mechanical Engineering at Northeastern University. In 2014, he completed his Ph.D. in Mechanical Engineering at Georgia Institute of Technology. Dr. Liu’s research covers a wide range of topics in advanced manufacturing, including AI-based tool condition monitoring (TCM), cognitive ergonomics for human-centered machining, and machining education mod- ernization for future workforce development. ©American
Paper ID #44497Developing Elementary Students’ Career Awareness of Advanced ManufacturingHengtao Tang, University of South Carolina Hengtao Tang is an associate professor in Learning, Design and Technologies at the University of South Carolina. His research focuses on self-regulated learning in engineering education, especially using learning analytics and machine learning algorithms to understand the self-regulated learning process, profile self-regulated learners, and create AI-scaffolded interventions to support self-regulated learning.Dr. Ramy Harik, University of South Carolina Dr. Ramy Harik, a Fulbright Scholar, is