facultyadvisors. This team started their capstone as usual. However, in the middle of the first semesterof the capstone (Spring 2020), the team has experienced imposed restrictions due to COVID-19.Restrictions due to COVID-19 were still active in the second semester (Fall 2020). The teamcould complete the capstone project in Fall 2020 during COVID-19 pandemic. In this paper, thepowder compaction system is introduced. The details of the block diagrams and fabricatedprototype device are presented. Testing and verifications are shown, and the capstone evaluationis presented.I. Introduction A powder compaction system can be useful to various manufacturing technologies, such aspowder metallurgy [1] and additive manufacturing [2-5]. In powder metallurgy, a
, ASME, and IEEE. He is also the Associate Editor of IEEE Transactions on Components, Packaging, and Manufacturing Technology and International Journal of Rapid Manufacturing.Dr. George Chitiyo, Tennessee Technological University George Chitiyo is a Professor of Educational Research and Evaluation at Tennessee Tech University. He teaches courses in research methods, statistics, and program evaluation. He is involved in designing and implementing evaluation initiatives of different types of educational programs and interventions in PreK-12 and higher education settings. His evaluation work includes projects in Advanced Technological Education (ATE), STEM education programs, and health related research.Ms. Mel Cossette
mechanical areas from various levels of instruction and addressed to a broad spectrum of students, from freshmen to seniors, from high school graduates to adult learners. She also has extended experience in curriculum development. Dr Husanu developed laboratory activities for Measurement and Instrumentation course as well as for quality control undergraduate and graduate courses in ET Masters program. Also, she introduced the first experiential activity for Applied Mechanics courses. She is coordinator and advisor for capstone projects for Engineering Technology.Dr. Michael G. Mauk, Drexel University Michael Mauk is Assistant Professor in Drexel University’s Engineering Technology program.Regina Ruane Ph.D., Temple University
for feedback and advocacy [26].Q3(C). Do your interns have well-defined projects when they work for you?Q3(I). Did you have well-defined projects when you worked for this company?Rationale: Q3 explores the structure of the projects given to the intern. Some companies reportedhaving highly specific projects for their interns with goals, while others preferred to let the internfind a project of interest to them.Q4(C). Are interns engaged in hands-on work on the shop floor?Q4(I). Were you engaged in hands-on work on the shop floor?Rationale: Q4 aims to determine the level of physical engagement of the intern throughout theirday-to-day work. Many manufacturing internships provide hands-on opportunities not availableto students in the traditional
of an Arduino-based modular structure and possible use of self-configuration. This paper includes the detailedsketch of the development efforts, engineering students’ reflections on the development project,design and delivery of the high school workshop including high school student feedback, andpossible future college level curricular designs for modular industrial robotics for industrial,mechanical, and manufacturing engineering programs. The paper is concluded with future workconcepts including possible kinematics and dynamics modeling of these industrial robotconfigurations through simulation tools such as DELMIA or MapleSIM, along with use ofmachine learning for self-configuration.BackgroundThe modular robot is a fairly new type
for AM, process selection,postprocessing, software issues, rapid tooling, applications of AM and business opportunities. Italso shows how the skills obtained from this course can be implemented in senior design projects.One successful project conducted by Engineering Technology undergraduate student at ODU isdemonstrated in this paper. In addition, the contents of a similar course developed at ClarksonUniversity is also provided in this study for comparison purposes.New courseOne main issue that has been identified in academic institutions is that engineering and technologystudents do not acquire various skills related to 3D printing, beyond submitting a STL file to aplastic 3D printer, in universities before hiring at industries. Our
. George Chitiyo, Tennessee Technological University George Chitiyo is a Professor of Educational Research and Evaluation at Tennessee Tech University. He teaches courses in research methods, statistics, and program evaluation. He is involved in designing and implementing evaluation initiatives of different types of educational programs and interventions in PreK-12 and higher education settings. His evaluation work includes projects in Advanced Technological Education (ATE), STEM education programs, and health related research.Dr. Perihan Fidan, Tennessee Technological University Dr. Perihan Fidan is a faculty member at the Curriculum and Instruction department at Tennessee Tech University. Her current research
participates in multiple projects, including the Development of a Model for The Metal Laser Powder Bed Fusion Additive Manufacturing Process. Dr. Ahmed Cherif Megri is currently the chair of the NCAT CAM’s Education subcommittee. He contributed to the outreach CAM since 2015.Dr. Taher M. Abu-Lebdeh P.E., North Carolina A&T University (Tech) Dr. Abu-Lebdeh is a Professor of Civil Engineering, Chair of R for the NNSA/ MSIPP Consortium, and an Associate Editor for the American Journal of Engineering and Applied Sciences. His research interests include Structural Mechanics, Materials Characterization, and constitutive modeling of material behavior. Dr. Abu-Lebdeh successfully completed several research projects related to
or other design or manufacturing applications. 6. Apply design knowledge and skills in the production of a variety of intermediate-level detail and assembly drawings. 7. Analyze the mass properties of, and perform necessary interference checks and stress analysis on CAD parts and assemblies. 8. Interpret industry-accepted dimension and tolerance callouts on blueprints. 9. Work in small groups to analyze, plan, model, and present an intricate product design.The course grade is split between assignments (30%), exams (30%), and a final project with apresentation (40%). If one looks a the program objectives and the associated student objectives,it's quite evident that the topics of entrepreneurship and Innovation (E&
a Professor of Chemical and Biomedical Engineering at the University of South Florida’s College of Engineering . Richard is the Co-PI for an NSF grant that supports FLATE, Advanced Techno- logical Education in Florida ,the the NSF Center of Excellence, which was founded through substantial funding from NSF. FLATE, now funded by the NIST MEP program and the Florida Department of Ed- ucation, addresses curriculum, professional development, and outreach issues to support the creation of Florida’s technical workforce. Richard has over 30 years of experience working with the K-14 education community. Other funded efforts include projects for the NIH and the US Department of Education. The latter was for the
process. Learning through practice is far more effectivethan trying to memorize a series of steps. That is our goal with this project: A safe, immersivelearning experience for students who want to use a machine such as this for their own projects.2 Related LiteratureThe authors searched the literature on virtual CNC systems for training and education.Unfortunately, there is not that many recent publications related to this topic. The most relatedpublications are as below.Chandramouli and Jin et al. introduced [1] the design and development process of VR educationtool to simulate different additive manufacturing machines, and a CNC machine to allow thestudents experience the materials and equipment needed to create the same part using
optimize operations. Other research interests include the Deming System of Profound Knowledge (SoPK), developing continuous improvement programs as well as sustainable management systems based on ISO 9001, ISO 14001, and other international standards. He has over 20 years of experience in the quality management field as a quality engineer, corporate quality manager, consultant and trainer. His experience is extensive in quality management systems as wells as Lean and Six Sigma methods. In addition, he coached and mentored Green & Black Belts on process improvement projects in the manufacturing and service industries. Dr. Shraim is a Certified Quality Engineer (CQE) & a Certified Six Sigma Black Belt (CSSBB
and Instrumentation course as well as for quality control undergraduate and graduate courses in ET Masters program. Also, she introduced the first experiential activity for Applied Mechanics courses. She is coordinator and advisor for capstone projects for Engineering Technology.Prof. Tzu-Liang Bill Tseng, University of Texas at El Paso Dr. Bill Tseng is a Professor and Chair of Department of Industrial, Manufacturing and Systems En- gineering at the UTEP. He is also a Director of Research Institute for Manufacturing & Engineering Systems, the host institute of Texas Manufacturing Assistance Center at UTEP. He received his two MSIE degrees (MFG & DS/OR) from the University of Wisconsin at Madison and Ph.D. in
Management Cooperative grant. With the supportfrom NASA and industry, a MANE 499 course, “Design and Manufacturing for AerospaceIndustry,” was created. This course was designed in the well-known framework, “learning factory”[3]. Through the “learning factory” model, MANE 499 is organized to introduce students to state-of-the-art principles of A&D design and manufacturing. This approach approximates that studentsare working a real world aerospace factory in which tasks are assigned, feedback is given, andperformance is evaluated. Standard project management tools and techniques (Work BreakdownStructure, Gantt chart, configuration management, documentation control, and lean methods) wereused to manage and monitor tasks, schedules, performance
8. Opinion survey of undergraduate students about Collaborative Remote Lab.Student CommentsIn students’ responses to the question “The most helpful thing about this project has been:”commonly mentioned themes were that the hands-on, teamwork, and visual experience werehelpful to learning, and self-paced learning. Below are some sample responses: • Was being able to see how each joint differed in the way it moved the robot. Although there were three rotating joints, they all produced a vastly different range of motion. • It helped me visualize how an operator views and controls a robot using an ip address. Also, helped me understand the importance of knowing the work envelope of a robot and its limitations
of joint limits withthe rating of 5.46 on a 7-point scale. Figure 8. Opinion survey of undergraduate students about Collaborative Remote Lab.Student CommentsIn students’ responses to the question “The most helpful thing about this project has been:”commonly mentioned themes were that the hands-on, teamwork, and visual experience werehelpful to learning, and self-paced learning. Below are some sample responses: Was being able to see how each joint differed in the way it moved the robot. Although there were three rotating joints, they all produced a vastly different range of motion. It helped me visualize how an operator views and controls a robot using an ip address. Also, helped me understand the importance
theMakerspace. This course provides students with training to access NJIT Makerspace systems,which is reinforced with a NJIT Makerspace project that students currently have an option topursue virtually or in person. The final condition is the general use of the NJIT Makerspace bystudents with varied interests. The presented findings from Fall 2020 will not only provideguidance for hands-on Manufacturing Education during the COVID-19 pandemic, but alsopotential options for safety processes that could be used in other applied academic activities.INTRODUCTIONBackgroundThe COVID-19 pandemic has presented a number of challenges throughout society and inseveral industries. The pandemic has; however, highlighted the importance of the manufacturingfield as
at El Paso (UTEP) in 2018. He has worked on a number of projects in the field of image data mining, machine learning and deep learning for industrial inspection & quality control. His research interests are in big data analytics, application of machine learning and deep learning for both complex system analysis and healthcare. Email: mrahman13@miners.utep.eduDr. Richard Chiou, Drexel University Dr. Richard Chiou is Associate Professor within the Engineering Technology Department at Drexel Uni- versity, Philadelphia, USA. He received his Ph.D. degree in the G.W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His educational background is in manufacturing with an emphasis on
UnitedStates. Rapid technological advances call upon manufacturing industries to evolve and respondto fierce-competing markets, new production paradigms, and data proliferation [1]. As the futureworkforce in manufacturing industries, engineering students need efficient and effective learningschemes to keep up with the technological advancements. A learning factory was developed bythe Pennsylvania State University in 1994 to provide a close-to-industry environment toengineering students [2]. This learning factory involves a college-wide infrastructure to supportindustry-related design projects. Students can be involved in hands-on activities and solve real-world problems in a realistic manufacturing environment. However, some universities may notbe
]isadeveloperandmanufacturerof3Dprintingtechnologywhoaddressed theCOVID-19pandemicandsupplychainshortagesbyevaluatingpotential3Dprinted designs and selecting projects to support based on clinical demand, lab and clinical testing,technicalfeasibility,andregulations. • 3D Systems[23] offers high-end 3D printing services for metal implants and instrumentation used for orthopedic, spinal, craniomaxillofacial (CMF), dental, and veterinary applications. Medical device companies rely on expertise and direct metal 8 printing (DMP) capabilities to guide them from prototyping and trial series to large- volumemanufacturing. • Not as much for PPEs but for medical