Paper ID #38814Preparing the manufacturing workforce for Industry 4.0 technologyimplementationDr. Sheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the Department of Engineering Technology and Indus- trial Distribution and a member of the Graduate Faculty at Texas A&M University. His research interests include automation, robotics, cyber-manufacturing and Industry 4.0; optical/infrared imaging and instru- mentation; micro/nano manufacturing; and design of technology for engineering education. He is also the Director of the Rockwell Automation Laboratory at Texas A&M University
andTolerancing (GD&T) in design and manufacturing helps to minimize the above issues byimproving manufacturing output, productivity, cross-departmental communication, partassembly, part interchangeability while reducing cost and shortening schedule time [1],[2].Although industry have been implementing GD&T for decades, lack of comprehensiveeducations in undergraduate engineering/technology curricula make the transition of graduatedengineers to industry a difficult period. It was suggested that GD&T should be taught for 60hours during two quarters or during one whole semester [3]. Literature survey indicates only fewinstitutions in the USA have engaged students with GD&T activities in undergraduate programswhile some programs even
Printing Density Effects on the Mechanical Properties of the Carbon-Fiber and Polylactic Acid Specimens,” Engineering and Technology Journal, Vol. 37, Part A, No. 04, pp. 128-132, 2019.[2] C. Aumnate, A. Pongwisuthiruchte, P. Pattananuwat, and P. Potiyaraj, “Fabrication of ABS/Graphene Oxide Composite Filament for Fused Filament Fabrication (FFF) 3D Printing,” Advances in Materials Science and Engineering, vol. 2018, pp. 1–9, Nov. 2018, doi: https://doi.org/10.1155/2018/2830437.[3] H. Yang, F. Ji, Z. Li, and S. Tao, “Preparation of Hydrophobic Surface on PLA and ABS by Fused Deposition Modeling,” Polymers, vol. 12, no. 7, p. 1539, Jul. 2020, doi: https://doi.org/10.3390/polym12071539.[4] M. Jasim, T. Abbas, and A. Huayier
Paper ID #42967Exploring Career Growth for Deaf and Hard-of-Hearing Individuals via MachiningTraining: A Comparative Behavioral AnalysisKrzysztof Kamil Jarosz, Rochester Institute of Technology Graduate Research Assistant at RIT SMRGYan-Ting Chen, Rochester Institute of Technology Yan-Ting Chen received his Master of Science degree in Electrical and Computer Engineering from Miami University, U.S., in 2018. During the MS program, his research interest was mainly focused on the methods of measuring ambient toxins by developing an array of chemical sensors and analyzing data using machine learning. Now, he is currently
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 #42277Advanced Four Pillars of Manufacturing KnowledgeDr. John L. Irwin, Michigan Technological University As Professor for Mechanical Engineering Technology at Michigan Technological University, Dr. Irwin teaches courses in Product Design & Development, Statics and Strength of Materials, Parametric Modeling, and Senior Design. Research interests include STEMMs. Suzy Gorospes Marzano, Sr Manager of Industry Development, SME Suzy Marzano is currently the Sr. Manager of Industry Development and Technical Activities at SME. Ms. Marzano joined SME in 2015 and has taken on numerous roles and responsibilities
Paper ID #38823Integrating Entrepreneurially Minded and Project-Based Learning into aManufacturing Supply Chain CourseDr. Yalcin Ertekin, Drexel University Yalcin Ertekin, Ph.D., CMfgE, CQE Yalcin Ertekin is a clinical professor in the College of Engineering, Department of Engineering Leadership and Society at Drexel University, Philadelphia, and serves as the Associate Department Head for Undergraduate Studies for the Engineering Technology program. He re- ceived his BS degree from Istanbul Technical University in Turkey, an MSc in Production Management from the University of Istanbul, an MS in Engineering Management, and
., Texas State University Dr. Kimberly G. Talley, P.E. is an associate professor in the Department of Engineering Technology, Bobcat Made Makerspace Director at Texas State University, and a licensed Professional Engineer. She received her Ph.D. and M.S.E. from the University of Texas at Austin in Structural Engineering. Her undergraduate degrees in History and in Construction Engineering and Management are from North Car- olina State University. Dr. Talley teaches courses in the Construction Science and Management and Civil Engineering Technology Programs, and her research focus is in student engagement and retention in engineering and engineering technology education. Contact: talley@txstate.eduPablo Rodriguez Verde
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
, Manufacturing and Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems.Nijanthan Vasudevan, Drexel University ©American Society for
Paper ID #38816Design and Evaluation of Modules to Teach PLC Interfacing ConceptsDr. Sheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the Department of Engineering Technology and Industrial Distribution and a member of the Graduate Faculty at Texas A&M University, College Station, TX. His research interests include automation, robotics, cyber-manufacturing and Industry 4.0; optical/infrared imaging and instrumentation; micro/nano manufacturing; and design of technology for engineering ed- ucation. He is also the Director of the Rockwell Automation Laboratory at Texas A&M
manufacturing.Lucas Wiese, Purdue University at West Lafayette (COE) I am a PhD student at Purdue University in the Computer & Information Technology department with a focus in AI education efforts and responsible AI development. I work in the Research On Computing in Engineering and Technology Education lab under Prof. Alejandra J. Magana.Dr. Hector Will, Oakland City University I am an assistant professor in Creative Technologies and Mathematics. My research interests are at the intersection of Science, Engineering, Technology, and Learning. I have experience developing learning materials for emerging topics such as Machine Learning and Quantum Computing using novel technolo- gies.Dr. Alejandra J. Magana, Purdue University
Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems. ©American Society for Engineering Education, 2024 Virtual Reality
23, no. 1 (2011): 32-46.[5] Shahali, Edy Hafizan Mohd, Lilia Halim, Mohamad Sattar Rasul, Kamisah Osman, and Mohd Afendi Zulkifeli. "STEM learning through engineering design: Impact on middle secondary students’ interest towards STEM." EURASIA Journal of Mathematics, Science and Technology Education 13, no. 5 (2016): 1189-1211.[6] Asefer, A., and Z. Abidin. "Soft skills and graduates’ employability in the 21st century from employers’ perspectives: A review of literature." International Journal of Infrastructure Research and Management 9, no. 2 (2021): 44-59.[7] Davidson, Kate. "Employers find ‘soft skills’ like critical thinking in short supply." The wall street journal 30, no. 3 (2016).[8] Aliu, John, and Clinton
Institutional Model Analysis,”Decision Science Letters, Vol. 10, pp. 151-162.[6] Souto-Iglesias, Antonio, Israel Martinez-Barrios, Mirko Toman, Aaron Fernandez-Coracho,and Rafael Guadalupe-Garcia (2013) “Integrated Learning of Production Engineering SoftwareApplications in a Shipbuilding Context,” International Journal of Engineering Education, Vol.29, No. 6, pp. 1400-1409.[7] Verma, Alok, Daniel Dickerson, and Sue McKinney (September 2011) “Engaging Students inSTEM Careers with Project-Based Learning – MarineTech Project,” Technology and EngineeringTeacher, pp. 25-31.[8] Leon, Alejandro and Marta Pena, (2022) “Gamification Tools in the Learning of Shipbuildingin the Undergraduate Marine Engineering Education,” Computer Applicatins in
Paper ID #41899Interactive and Web-based Animation Modules and Case Studies for AutomatedSystem DesignDr. Sheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the Department of Engineering Technology and Industrial Distribution and a member of the Graduate Faculty at Texas A&M University, College Station, TX. His research interests include automation, robotics, cyber-manufacturing and Industry 4.0; optical/infrared imaging and instrumentation; micro/nano manufacturing; and design of technology for engineering education. He is also the Director of the Rockwell Automation Laboratory at
Paper ID #39289Design and Manufacturing Innovations in Modular Drone Design EnabledbyAdditive Manufacturing: Customizable Power Distribution BoardDr. Firas Akasheh, Tuskegee University Dr. Akasheh has been with the Mechanical Engineering Department at Tuskegee University since 2008. His primary interest is in the area of solid mechanics and manufacturing as well as the integration of best practices in engineering education.Stephen BakerDr. Mandoye Ndoye, Tuskegee University Mandoye Ndoye received the B.S.E.E. degree from the Rensselear Polytechnic Institute, Troy, NY, in 2002, the MS degree in Mathematics and the Ph.D