Paper ID #47072Integrating Computer-Aided Manufacturing Users with Directed Energy DepositionGuidelinesDr. Kenton Blane Fillingim, Oak Ridge National Laboratory Dr. Kenton Blane Fillingim is R&D staff for human factors in advanced manufacturing within the Manufacturing Sciences Division at Oak Ridge National Laboratory. His research at ORNL’s Manufacturing Demonstration Facility focuses on process development to accelerate the industrialization of directed energy deposition (DED) convergent manufacturing platforms. He aims to improve the user experience and increase the success of designers and operators in convergent
Paper ID #47776Development of Digital Laboratory Modules Using Computer Simulation ForEnhanced Learning Experience in Manufacturing EducationDr. Md Fashiar Rahman, University of Texas at El Paso Dr. Md Fashiar Rahman is an Assistant Professor of the Industrial, 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
space mice orvirtual reality equipment. These devices restrict the broader adoption in education. To addressthese challenges, we developed and implemented TeleopLab: intuitive teleoperations to enableaccessible remote hands-on labs. TeleopLab allows students to remotely control a robotic arm andlab equipment in real time using a smartphone motion interface in conjunction with Zoom. Wedesigned TeleopLab to preserve the interactivity and real-world complexity of this process whiletransitioning the lab to an online format with minimal modification to the original lab content.This system was implemented in a professional laboratory course in an industry-led advancedmanufacturing training program at an innovation center in western Massachusetts
techniques, continues to evolve withtechnological advancements and new applications. Staying competitive in this field requires notonly technical expertise but also entrepreneurial skills, including knowledge of market strategies,financial management, and client relations [10]. Recognizing the lack of accessible OERs andhands-on training materials for casting, Project R2 developed practical exercises anddemonstrations using commonly available metals and portable foundry-in-a-box kits [11]. Theseresources are designed to bring sand-casting education into classrooms and laboratories,empowering students and educators to explore this essential manufacturing process innovatively[12].In summary, Project R2 bridges critical gaps in STEM education by
CAD/CAM softwaretraining and on-machine demonstrations. The CAD/CAM software activity includes fixturedesign and toolpath generation to perform a facing operation on the silicon brass METALmedallion. A CAD model of the METAL medallion machining setup with visible toolpaths isshown in Figure 6. Figure 6. CAD model of the machining setup for the METAL medallion with visible toolpaths.Other METAL level one in-person training activities include mechanical testing (i.e., tension andhardness testing), heat treatment of steel alloys (i.e., AISI 1060 and/or 1045), forging, androlling. The topics for each day of the four-day schedule are summarized. These activitiesinclude both classroom and laboratory sessions. The detailed daily itinerary can be
explained by Irwin et al. [5]. This area included the most revised topicsalong with the Process Design area that experienced major revisions with topics such as DigitalTwin and Computer Aided Process Planning. Coskun et al. [6] proposed a comprehensive three-pillar roadmap for integrating Industry 4.0 technologies into engineering university curricula.This roadmap focuses on curriculum development, laboratory support, and the establishment ofstudent clubs to foster hands-on experience with cutting-edge technologies. Similarly, Onar et al.[7] conducted an evaluation of 124 engineering programs across various institutions and foundthat these programs are increasingly offering interdisciplinary courses that combine productiontechnologies with ICT
of the Project FrameworkThe FPGA-based predictive maintenance project was designed as part of the Renewable EnergySystems course, an undergraduate program aimed at equipping students with practical knowledgeof renewable energy technologies and their applications. This Experiment is a part of thecurriculum for junior-level students in the Engineering Technology Department at DrexelUniversity. It is a 3-credit laboratory course offered annually, providing hands-on experience inthe design, simulation, and analysis of renewable energy systems.The objective of the project is to develop a comprehensive framework for predictive maintenancein wind turbines using FPGA technology. This involved creating a virtual simulation environment[4] where
the DefenseManufacturing Communities Support Program (DMCSP) and its adaptation to collegecurriculum. This 2-day intensive course introduced participants to rapid tool making methodsbased on 3D printing. Indirect and direct rapid tooling were covered with hands-on activitiesincluding use of software tools. Tooling for multiple processes such as plastic injection molding,sand casting, room temperature vulcanization (RTV) as well as machining jig and fixture designwere included in the curriculum with demonstrations or laboratory exercises. Main targetaudience was technical personnel from small and medium size manufacturing companies, eventhough it was open to similar personnel from all size of companies including start-ups. Thispaper presents
Manufacturing Engineer (CMfgE), awarded by the Society of Manufacturing Engineers (SME) since 2001, and a Certified Quality Engineer (CQE) awarded by the American Society for Quality (ASQ) since 2004. In addition to positions in the automotive industry, Dr. Ertekin has held faculty positions at Western Kentucky University and Trine University. He later joined Drexel University’s College of Engineering as an associate clinical professor and has been instrumental in course development and the assessment and improvement of the Engineering Technology (ET) curriculum, including integrated laboratories, project-based learning, and practicum-based assessment. Ertekin serves as the faculty advisor for the student chapter of the
Engineering from the University of MissouriRolla. Dr. Ertekin has also been a Certified Manufacturing Engineer (CMfgE), awarded by the Society of Manufacturing Engineers (SME) since 2001, and a Certified Quality Engineer (CQE) awarded by the American Society for Quality (ASQ) since 2004. In addition to positions in the automotive industry, Dr. Ertekin has held faculty positions at Western Kentucky University and Trine University. In 2010, he joined Drexel University’s College of Engineering as an associate clinical professor. He has been instrumental in course development and the assessment and improvement of the Engineering Technology (ET) curriculum, including integrated laboratories, project-based learning, and
Laboratory at Texas A&M University, a state-of-the-art facility for education and research in the areas of automation, robotics, and Industry 4.0 systems. He was named Honorary International Chair Professor for National Taipei University of Technology in Taipei, Taiwan, for 2015-21. Dr. Hsieh received his Ph.D. in Industrial Engineering from Texas Tech University, Lubbock, TX. ©American Society for Engineering Education, 2025 Incorporating Hybrid Virtual Simulators and Physical Tools for Angle Measurement in High School GeometryAbstractUnderstanding geometric angles is crucial for students, as angles are the basis for more advancedmathematical concepts and real-world
-Menéndez, A. Vallejo Guevara, J. C. Tudón Martínez, D. HernándezAlcántara, and R. Morales-Menéndez, “Active learning in engineering education: A review offundamentals, best practices, and experiences,” International Journal on Interactive Designand Manufacturing (IJIDeM), vol. 13, pp. 909–922, 2019.21. L. Zhang and Y. Ma, “A study of the impact of project-based learning on student learningeffects: A meta-analysis study,” Front. Psychol., Sec. Educational Psychology, vol. 14, Jul.2023.22. M. J. Zhang, C. Newton, J. Grove, M. Pritzker, and M. Ioannidis, “Design and assessmentof a hybrid chemical engineering laboratory course with the incorporation of student-centredexperiential learning,” Education for Chemical Engineers, vol. 30, pp. 1–8, 2020.23
conducted inthis study, provide students with practical exposure to welding principles, material science, andmechanical testing. Being engaged in experimental work allows students to bridge theoreticalknowledge with real-world applications, strengthening both their problem-solving and analyticalskills. The insights gained from this research not only contribute to technical advancements inspot welding but also highlight the role of laboratory-based learning in engineering education. While spot welding of similar materials such as two sheets of 1008 carbon steel isstraightforward, introducing an intermediate layer can enhance or hinder the weld properties,depending on the intermediate material and application of the finished piece. This
laboratory spaceas the traditional robotics class, with a designated open area that allowed students to move freelywhile engaging with the virtual environment. Upon completing the virtual lab activity, studentswere invited to participate in a brief, confidential survey to provide feedback. All 12 participantscompleted the survey. The survey was designed to assess and compare key aspects of thephysical and virtual jogging tasks.FindingsResponses from the 12 student surveys were categorized for analysis, with the resultssummarized in the figures below. In addition to the categorical data, open-ended responses werecollected to provide context and rationale behind the answers, and these were analyzed alongsidethe quantitative data to offer a more
. Figure 3. Robert Morris bust before its restorationThe project team included the lead author, a graduate assistant, and the laboratory engineer. AKonica Minolta Vivid 910 scanner (Figure 4a), a laser scanner, was used for the digitizationprocess. The camera had the ability to capture large free-form objects with a dimensionalaccuracy of 0.127 mm. Because of the geometric complexity of the bust, special attention had tobe paid to cavities and shiny surfaces. Since the scanner did not have the flexibility to reachhard-to-access details, the scanning process became more tedious than originally expected. Figure 4. a) Konica Minolta scanner b) Manual turntable built for the projectThe main difficulty encountered during the scanning process
52nd CIRP Conference on Manufacturing Systems,published in Procedia CIRP 81 2019 pp. 832-837.[7] R. Lipman, “New Version of the STEP File Analyzer and Viewer is Released”, fromEngineering Laboratory – Systems Integration Division, NIST, August 23, 2021.[8] J. McFarlane and R. Lipman, “Exploring Model-Based Engineering Concepts for AdditiveManufacturing”, from Report in the Systems Systems Integration Division, National Institute ofStandards and Technology, Gaithersburg, MD 20899, Accessed at below website on 11/14/2024https://www.nist.gov/publications/exploring-model-based-engineering-concepts-additive-manufacturing.[9] A. Neb, “A Novel Approach to Identify Automation Potentials of Assembly ProcessesDirectly from CAD Models”, from the
Issues in Engineering Education and Practice, 144(2), 04017017. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000360Cardon, M. S., Gregoire, D. A., Stevens, C. E., & Patel, P. C. (2013). Measuring entrepreneurial passion: Conceptual foundations and scale validation. Journal of Business Venturing, 28(3), 373–396. https://doi.org/10.1016/j.jbusvent.2012.03.003Cox, D. (2017). Development of Hands-on Laboratory Resources for Manufacturing Engineering. Annual Conference and Exposition. American Society for Engineering Education.Da Silva, G., De Barros, M., & Costa, H. (2015). Entrepreneurship in Engineering Education: A Literature Review. International Journal of Engineering Education, 31(6A), 1701–1710
Florida. She received her B.S., M.S., and Ph.D. in Industrial & Manufacturing Engineering from Penn State University. Prior to UF, she served as the Kate Gleason Professor and Department Head of Industrial and Systems Engineering at the Rochester Institute of Technology (RIT). In addition, she was a member of the faculty and Associate Chair in the Department of Industrial and Manufacturing Systems Engineering at Iowa State University. Her research group iMED (Interdisciplinary Manufacturing Engineering and Design) laboratory specializes in research to design scalable hybrid manufacturing techniques of a wide array of material systems ranging from biopolymers, metal alloys, and concrete. Her research
align with departmental concerns that students are ill-prepared for oral assessments. Before this intervention, her course, 2.008: Design and Manufacturing II,included lecture and lab portions with many graded assignments from each component, and one written exam mid-semester. uthentic assessment, in the form of two short, oral assessments, was chosen to replace short,Aweekly, in-class quizzes. The assessments, conducted during labs, would help save class time and would cover topics from multiple lectures and laboratory applications. Additionally, the teaching team believed (and promoted the idea that) oral assessments could help incentivise increased collaborative discussion and question-asking during