long it took the given design to go from theopen position to the closed position. Speed was given an importance weighting of 20 since it isimportant to elevate as quickly as possible, but not as important to the constraints of the robot asstrength and weight are. Finally, reliability was considered as how consistent and durable thesystem is. It was only given an importance weighting of 15 since low durability can easily becompensated for by checking the system for signs of damage after every match.Since there was no baseline for the Pugh Matrix, the alternatives were compared on how wellthey fit each criterion. The alternative that fit it the best was given a 1, the worst alternative wasgiven a -1 and the final alternative was given a 0. The
researchers and the industry fail to properly understand the negativeimpact of declining enrollment and a shrinking, aging workforce, it is expected to have astrongly negative impact on the future development of the machining industry [4].Addressing the aforementioned issues related to an aging and shrinking machinist workforcenecessitates devising new methods and approaches to attract the younger generation ofprospective professionals to the industry and to retain them as long-term workforce. Currently,instructor-led and hands-on practical training methods are employed in machining workforcedevelopment programs. However, the aspect of student motivation, involvement and satisfactionis often ignored, which is one of key potential reasons for dropping
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
, with great success. Recent studies have shown that it can also be applied to a number ofmanufacturing courses, where students have expressed a positive preference for learning throughservice learning projects. The study presented in this paper provides another best practice from asubtractive manufacturing course by advancing the design and machining of a versatile germtool. The results of a student survey conducted for this purpose from the subtractivemanufacturing course were compared to data from the previous semester. It was observed thatthere was a significant improvement in student learning and the attainment of ABET StudentOutcomes, due to the integration of service learning into course term projects. Table 2: IDEA Survey results of
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
Paper ID #37300Development of Al/Steel Resistance Spot Weld for Industrial ApplicationsMr. Peter Woodruff, California State Polytechnic University, Pomona I am currently enrolled in California State Polytechnic University, Pomona, for my Bachelors of science in Mechanical Engineering. I am a Junior and expected to graduate in the Spring of 2024.Dr. Moe Rabea, California State Polytechnic University, Pomona Extensive experience in applied research and development in material and manufacturing engineering for improving properties of diverse types of material surfaces. In-depth experience of fabricating nanostruc- tured
, such as massproduction. By continuing to investigate and refine these interactions, we can enhance theeffectiveness and efficiency of VR-based learning environments, ultimately improving thelearning outcomes for engineering students.References[1] M. Hernández-de-Menéndez, A. Vallejo Guevara, J. C. Tudón Martínez, D. Hernández Alcántara, and R. Morales-Menendez, “Active learning in engineering education. A review of fundamentals, best practices and experiences,” International Journal on Interactive Design and Manufacturing, vol. 13, no. 3, pp. 909–922, Sep. 2019, doi: 10.1007/S12008-019-00557-8.[2] S. Freeman et al., “Active learning increases student performance in science, engineering, and mathematics
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
instruction in one of theclasses reviewed will be presented.IntroductionAdvances in technology in manufacturing present challenges to engineering programs that mustkeep their curriculums current so that their graduates meet the needs of the industries that hirethem. This is most important in the area CAD/CAM and CNC where new trends in software,information technology and hardware capabilities impact industry practices in machining. Onesuch manufacturing engineering program, the context for this paper, has traditionally maintaineda focus on CAD/CAM and CNC in its curriculum that extends back to its roots as an engineeringtechnology program. The faculty in consultation with the program’s Industrial AdvisoryCommittee have maintained a mission of
standards are used during additivemanufacturing process development, and using standards during testing and evaluation ofadditively manufactured parts. Examples of standards covered include ASME Y14.46 andISO/ASTM 52900-21. The modules are applicable for all types of AM processes but focus moston material extrusion and powder bed fusion. We describe the process of designing the modules,guided by best-practices for online learning and a backwards design strategy, use of a variety ofonline learning technologies, and interactive course activities. The modules have been deployedinto the curriculum of several additive manufacturing-related courses offered at a large publicuniversity in the southwestern United States starting in Fall 2022. The impact of
, the challenges include the high cost of technology, theneed for specialized training for instructors and students, and the limited availability of ARcontent. The article concluded with an emphasis on further research and development of ARtechnology in education. A few suggestions made by the authors include designing effective ARlearning environments, creating AR content that aligns with educational objectives, andevaluating the impact of AR on student learning outcomes. Overall, these papers demonstrate the potential of Mixed Reality in engineering educationand highlight the benefits of using these technologies for teaching and learning. They alsoidentify challenges that must be addressed to fully realize the potential of Extended
RealityAbstractSuccessful assembly processes positively impact the U.S. manufacturing sector’s economy byoptimizing the manufacturing system, lowering the production cost, and increasing theprofitability for manufacturers, all of which enhance supply chain resilience and reinforcesustainability. Given the significance of the assembly process in manufacturing and itsconsiderable impact on the U.S. economy, developing new instruction methods for teachingassembly practices in manufacturing is crucial. Educators and researchers have been developingnew methods for teaching assembly processes to help develop a skilled workforce and preparestudents to contribute to the future growth of the manufacturing sector. Many of the excitingmethods currently employed in