Paper ID #33179A Capstone Experience Through the Development of a Powder CompactionSystem During COVID-19 PandemicDr. Byul Hur, Texas A&M University Dr. B. Hur received his B.S. degree in Electronics Engineering from Yonsei University, in Seoul, Korea, in 2000, and his M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Florida, Gainesville, FL, USA, in 2007 and 2011, respectively. In 2017, he joined the faculty of Texas A&M University, College Station, TX. USA, where he is currently an Assistant Professor. He worked as a postdoctoral associate from 2011 to 2016 at the University
differenttypes of digital manufacturing technology. El-Mounayri and Aw et al. [2] had developed a virtualmanufacturing laboratory of CNC milling. The laboratory environment provided the students: (a)access to a fully-functional virtual CNC milling machine, (b) training on the key operations of theCNC machine, (c) a lecture describing the components of the milling machine, and (d) a lecturedescribing the concepts of CNC milling. This virtual CNC machine was enabled by three softwaremodules: (1) a CNC Milling machine simulator, (2) a virtual-environment display engine, and (3)an intelligent-agent engine. The three modules was running on a single computer in a seamlessweb-based framework, which allowed students to access and run the virtual CNC machining
metallurgy and additivemanufacturing processes are covered in the course. As a term project, the instructor illustrates forstudents to design and make an elliptical shaped plate, as shown in Figure 5 using either subtractiveprocesses, additive processes, or hybrid. The students can decide any material such asceramics, metals, polymers, or a combination of them for their project. The dimensions of part andits tolerances were provided to students. One of objective of this project is that student canunderstand differences between traditional manufacturing and modern additive manufacturingsuch as their production rate and surface quality and tolerances. Figure 5. An elliptical shaped plate is assigned to students in Clarkson University b to
usingunregulatedmaterialsintherealclinicalworldwouldbeplaced.Intellectualpropertyandowners’copyrightlegalissueshavealsobeenareasofgrowingconcernforthemedical3Dprintingcommunity.Itisurgentandmandatorytoclarifyalltheseconflictiveareasandrapidlyadaptregulationstoemergentscenariosastheonelivedduringthispandemic.ThefollowingreferencescontaininformationabouttheapprovalprocessandconsiderationsforsomeoneventuringintomanufacturingPPEdevices: a. FDAprocessfor3Dprintingtechnology[54] b. QualitySystemRegulation[55] c. 3Rsof3Dprinting:RoleofFDA[56] d. FDA Guidance Document [57]Notably, the FDA also highlights a concern regarding the effectiveness of 3D printedcomponentstophysicallyblockdropletsandotherbodilyfluidsthatmaycontainavirus.Specifically,theFDAstatesthefollowing:“PPEincludesprotectiveclothing,gowns,gloves,faceshields,goggles,facemasks,andrespiratorsorotherequipmentdesignedtoprotectthewearerfrominjuryorthespreadofinfectionorillness.Whileitispossibletouse3DprintingtomakecertainPPE,therearetechnicalchallengesthathavetobeovercometobeeffective 16enough.Forexample,3D
methods and supplies.Figure 1 provides a diagram showing the configuration of the Makerspace prior to the pandemicand after the COVID protocol implementation. A B Figure 1. Representative diagram of NJIT Makerspace floor layout (A) under pre-pandemic conditions and (B) with modifications to meet COVID-19 protocol requirements.The main features of the NJIT Makerspace facility changes included: • A Dirty (D) and Clean (C) workbench system was created for key areas including at the entrance for donning of PPE (Figure 2A) and at areas of tool procurement and return (Figure 2C). • Barriers (e.g. stanchions) were used to guide and separate key areas (example shown in Figure 2B). Clear acrylic barriers were placed in key staff areas
mode (Figure 4).The user can toggle on and off a ruler to measure the physical dimensions of the sub-assembly.Each sub-assembly can be magnified or rotated around three axes. The user has the option to turnon visual guides (which appear as yellow boxes in the app), which indicate the locations ofrelevant information to the product’s material, design, or manufacture. When the user touches thelocation of one of the yellow boxes on the screen, a pop-up on the right reveals a magnifiablepicture of the region and a word hint.Figure 4. The Inspection mode provides scaffolded learning of manufacturing analysis throughexamination. Users can a) select one sub-assembly to b) isolate, re-center, and measure thesub-assembly. If the user presses the
(other questions) Indirect Assessment (Consider 5 being extremely well and 1 being not at all) Student Self-Assessment of Course Learning (a) (b) (c) (d) Objectives 9. Do you have access to a device for learning 6 6 0 0 virtually? 10. What device do you use for virtual 5 7 0 0 summer camp?Figure 1: the participant of the survey (parents and students)Figure 2: Presentation survey (content, and visual) responses Figure 3: Presentation survey (Presentation skills and organization) responsesConclusions:The summer camp took place virtually, due to the COVID pandemic. Our goal is not only toprepare for a successful summer camp but to create a summer camp model
Paper ID #34199Introducing Entrepreneurship and Innovation in a Manufacturing DesignCourseDr. Jaby Mohammed, Illinois State University Jaby Mohammed is a faculty at Illinois State University. He received his PhD in Industrial Engineering from University of Louisville (2006), masters in Industrial Engineering from University of Louisville (2003) and also a master’s in business administration from Indira Gandhi National Open University (2001). His research interests include advanced manufacturing, design methodologies, six sigma, lean manufacturing, and engineering education. He previously taught at Khalifa University (UAE
Paper ID #34895Lessons Learned from Hosting Workshops on Remote Control of AutomatedSystemsDr. Sheng-Jen ”Tony” Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the Department of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufactur- ing. He is also the Director of the Rockwell Automation laboratory at Texas A&M
Paper ID #33029Design and Evaluation of Collaborative Lab for Robot ProgrammingDr. Sheng-Jen ”Tony” Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the Department of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufactur- ing. He is also the Director of the Rockwell Automation laboratory at Texas A&M University
objects with wireless controllers.To study the problem-solving of engineering students, we invited them to complete someassembly tasks. Assembly tasks given to students involved the assembly of car toys according toa set of customer requirements as shown in Figure 3. Students needed to minimize the total costof car toy assembly while satisfying customer requirements. Hence, the assembly task consists offour main functions: design, sourcing, manufacturing, and inspection.Figure 2. Workstations in VR learning factory: (a) component selection station; (b) base station; (c) roof station. Figure 3. Examples of customer requirements for the car toy assembly.Once students entered the VR learning factory
digital design experience [7]. In addition, SmartManufacturing education further requires data collection and management systems that allow forexploration of data analysis and feedback as demonstrated by [8]. In order to provide a relativelylow-cost training platform for a relatively challenging control problem, D. Kim and B. Anthonydemonstrated a benchtop fiber extrusion system for educational training [9]. This FibeRExtrusion Device, FrED, provided a process that would benefit from complex process control,while also being straightforward to analytically model and test. Recently, S. Kim et al. showedhow deep reinforcement machine learning could even be applied to the feedback control for thisdevice for improving fiber quality [10]. These
effectively through reports and graphic display. Moreover, the SolidWorksSustainability tool is available to every SolidWorks user at no cost. The sustainability analysis forthe gearbox using the SolidWorks Sustainability tool is displayed in Figure 3. (a) (b) (c)Figure 3. Sustainability analysis of gear-box (a) sustainability factor of individual components ofthe gear-box(b) color map representation according to the sustainability factors, and (c)Environmental impacts for the gear-box assembly 6LIFE CYCLE ASSESSMENTLife Cycle Assessment (LCA) of products is an important step for assessing the environmentalimpact of products and
observations across all environmental conditions.The experiment involves 4 controllable factors; one at 4 levels and the other three are at twolevels each as shown in Table 4. Table 4: Controllable Factors and Levels Level Controllable Factor 1 2 3 4 A: Flow Rate (inches / sec) 1.0 2.0 3.0 4.0 B: Load (lbs.) 0.0 95.0 C: Hydraulic Pressure (psi) 800 600 D: Control Access Local RemoteBased on the number of factors and levels to be investigated in
stands for the positionformat which describes the position data. The third describes the feed rate of the code for the giveninstruction block. This could be programmed for 1 to 100% for any feed rate programmed into therobot. Finally, the fourth describes the positioning path that the robot will take depending on themotion format being either labeled as FINE or CNT. Defining the variables for motion programming canbe resulted to analyze the cycle times and consistency variables.3. Results and AnalysisIn this study, two factors were considered, the speed of the manipulator (factor A) and the terminationbath (factor B). The levels of interest for factor (Speed A) have been used as follows: 1000 mm/sec aslow level, and 2000 mm/sec as high level
1 2 Company B 1 1 1 Company D Company A 3 Company E Company B 5 Company F Company C Company G 2 Company D
resistance (a) Combustion chamber [5] (b)Turbine blades [6] Figure 2. Sample presentation on “Material Selection and Process” for (a) Combustion chamber and (b)Turbine blades on aircraft enginesc) Mechanical design of blisksAs shown in Figure 1, advanced compressor and turbine designs are critical to attain the highperformance of jet engines. Traditionally turbofan engines and industrial gas turbines use bladedcompressor disks with individual airfoils anchored by nuts and bolts in a slotted central retainer.Blisks, a design where disk and blades are fabricated into a single piece, improve efficiency,pressure ratio, and flow rate with fewer parts vs. the traditional design. Most recently
. Zhang, K. Tantawi, T. Guo and B. Asiabanpour, "The Influence of Smart Manufacturing Towards Energy Conservation: A Review," Technologies, vol. 8, p. 31, 2020. [6] Government France, "The New Face of Industry in France," Paris, 2013. [7] Government of France, "New Industrial France Building France’s Industrial Future," Paris, 2016. [8] R. Liebhart and L. Hohmann, "Korea: Evolution of manufacturing industry," Maschinen Markt International, 2016. [9] "From Industry 4.0 to Society 5.0: the big societal transformation plan of Japan," i-Scoop. [10] "Realizing Society 5.0," 11 February 2016. [Online]. Available: https://www.japan.go.jp/abenomics/_userdata/abenomics/pdf/society_5.0.pdf. [Accessed 2021]. [11] K
Paper ID #34295Developing and Teaching Modular RobotsDr. Arif Sirinterlikci, Robert Morris University Arif Sirinterlikci is a University Professor of Industrial and Manufacturing Engineering at Robert Morris University (RMU). He also serves as the Senior Director of the RMU Outreach and Innovation Center. He holds BS and MS degrees, both in Mechanical Engineering from Istanbul Technical University in Turkey and his Ph.D. is in Industrial and Systems Engineering from the Ohio State University. He is also a Certified Manufacturing Engineer (CMfgE). He has been actively involved in ASEE and SME organizations and conducted
encompasses both theoretical analysis and experimental investigations such as designing and testing of propulsion systems including design and development of pilot testing facility, mechanical instrumentation, and industrial applications of aircraft engines. Also, in the past 10 years she gained experience in teaching ME and ET courses in both quality control and quality assurance areas as well as in thermal-fluid, energy conversion and 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
Paper ID #33097Innovative Delivery of 3D PrintingDr. Ismail Fidan, Tennessee Technological University Currently, Dr. Fidan serves as a Professor of the Department of Manufacturing and Engineering Tech- nology at Tennessee Technological University. His research and teaching interests are in additive man- ufacturing, electronics manufacturing, distance learning, and STEM education. Dr. Fidan is a member and active participant of SME, ASEE, ABET, 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
at undergraduate and graduate levels. His tremendous re- search experience in manufacturing includes environmentally conscious manufacturing, Internet based robotics, and Web based quality. In the past years, he has been involved in sustainable manufacturing for maximizing energy and material recovery while minimizing environmental impact.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 &
Paper ID #32961What’s Next? The Future of Work for Manufacturing TechniciansDr. Marilyn Barger P.E., FLATE, Florida Advanced Technological Education Center Dr. Marilyn Barger is the Director of FLATE, the Florida Advanced Technological Education Center a part of the FloridaMakes Network, and previously funded by the National Science Foundation. FLATE serves the state of Florida as its region and is involved in outreach and recruitment of students into techni- cal career pathways; has produced award-winning curriculum design and reform for secondary and post- secondary Career and Technical Education programs; and