geographic limitations [17]. This promotes accessibility andscalability, making it feasible for learners to engage with AM technology regardless of theirproximity to a physical lab facility. Consequently, innovative AM laboratories and remotelearning environments play a crucial role in teaching students’ practical skills and understandingAM processes and technologies. Some of the remote labs are shown in Figure 1. B) A) C) Figure 1: Three Innovative AM labs, A) Network camera accessible AM laboratory [18], B) Remotely accessible AM laboratory [19], C) Remote laboratory with 3D printers and
conclusions sections of the study.There are no other conflicts of interest.Bibliography[1] L. C. Harrison, H. B. Congdon, and J. T. DiPiro, “The Status of US Multi-campus Colleges and Schools of Pharmacy,” American Journal of Pharmaceutical Education, vol. 74, no. 7, p. 124, Sep. 2010, doi: 10.5688/aj7407124.[2] C. Keulen and C. Sielmann, “Manufacturing Engineering as a Multi-Campus Program,” in Proceedings of the American Society for Engineering Education (ASEE), Minneapolis, MN, 2022.[3] S. L. Groenwald, “The challenges and opportunities in leading a multi-campus university,” Journal of Professional Nursing, vol. 34, no. 2, pp. 134–141, Mar. 2018, doi: 10.1016/j.profnurs.2017.12.005.[4] C. Sielmann, V. Chiu, and C. Keulen, “An
focusing on an industrial press process. Case studies were developed usingAdobe Animate.Figure 1 shows the Problem Statement screens for both systems. The problem statementdescribes how the system should work and provides an illustration of the system with relevantparts labeled. (a) (b)Figure 1. Case study problem statement for (a) Widget Assembly Line; and (b) Industrial Press Figure 2. Setup Screen showing sequence of operations for industrial press Figure 3. Animation of industrial press in actionThe Problem Statement is followed by a Setup Screen that shows the sequence of operations.Figure 2 shows the Setup screen for the
). This trigger causes the conveyor to stop, and the vision camera to take Figure 2: Work Cell Layout a picture of the part. The camera then sends a signal to the robot, if the part is acceptable, to pick up the part (Figure 3, b). The robot then puts the part in the already open CNC enclosure and thealready open clamping mechanism (Figure 3, c). Once the robot closes the sliding door, theclamp tightens, and the CNC program begins (Figure 3, d). When the CNC program is complete,it activates a limit switch to send the signal that the program is done. The robot then opens thedoor (Figure 3, e), the clamp loosens, the robot picks the part (Figure 3, f) and performs the finalstep of placing it in the finished part
adolescents. Otolaryngology—Head and Neck Surgery, 140(4), 461-472.[4] Smith, A. (2003, October). Preventing deafness—an achievable challenge. The WHO perspective. In International Congress Series (Vol. 1240, pp. 183-191). Elsevier.[5] WHO, WHO calls on private sector to provide affordable hearing aids in developing world, WHO/34, 11 July 2001.[6] Olusanya, B. O., Neumann, K. J., & Saunders, J. E. (2014). The global burden of disabling hearing impairment: a call to action. Bulletin of the World Health Organization, 92, 367-373.[7] Chia, E. M., Wang, J. J., Rochtchina, E., Cumming, R. R., Newall, P., & Mitchell, P. (2007). Hearing impairment and health-related quality of life: the Blue Mountains Hearing Study. Ear and hearing
1 $45.99 Hosyond 7 Inch IPS LCD Touch Screen Display Panel 1024×600 Capacitive Screen HDMI Monitor for Raspberry Pi, BB Black, Windows 10 8 7 Cable 1 $8.99 USB-C to USB A Cable 3.1A Fast Charging [2-Pack 6.6ft], JSAUX USB Type C Charger Cord Screen case holder 1 $13.99 Longruner 7-inch Raspberry Pi Touch Screen Case Holder for Raspberry Pi 3 2 Model B and RPi 1 B+ A BB Black PC Various Systems LSC7B-1Computer Vision Application DesignRoboflow, a tool for building computer vision applications that utilizes open-source computervision models, was used to recognize the color of candy [6]. The Python
Paper ID #42042Design of a Monitoring System for CNC-Machining ProcessesDr. Zhenhua Wu, Virginia State University Dr. Zhenhua Wu, is currently an Associate Professor in Manufacturing Engineering at Virginia State University. He received his PhD in Mechanical Engineering from Texas A&M University. His current research interests focus on cybermanufacturing, friction stir welding.Dr. Pamela Leigh-Mack, Virginia State University Dr. Pamela Leigh-Mack is Professor of Computer Engineering, and Director of Assessment for the College of Engineering and Technology at Virginia State University. She received the B.S. degree in
environmentfor future generations. The concept of sustainability in Industry 4.0 is not just a trend but anecessary evolution towards a more resilient, equitable, and sustainable future. By embracingthis approach, the manufacturing industry can lead the way in demonstrating that technologicalprogress and environmental stewardship can go hand in hand, ensuring prosperity and well-beingfor all.References:[1] L. Adolph, T. Anlahr, H. Bedenbender, A. Bentkus, L. Brumby, and C. Diedrich, German standardization roadmap: Industry 4.0. Version 2. Berlin: DIN eV. 2016.[2] L. S. Dalenogare, G. B. Benitez, N. F. Ayala, and A. G. Frank, “The expected contribution of Industry 4.0 technologies for industrial performance,” Int. J. Prod. Econ., vol. 204
between 1-12 minutes.It shows that the task A must be completed before task B can be started. It also shows that thetasks C, D, E, and F can be started simultaneously after the task B has been completed.Moreover, both tasks C and D must be completed before task G can start. The assembly linebalancing problem is one of assigning all the tasks required to a series of workstations so that thetime required to do the work at each station does not exceed the takt time, and at the same time.the unassigned (i.e., idle) time across all workstations is minimized. An additional considerationin designing the line is to assign the tasks as equitably as possible to the stations.This arrangement may be somewhat subjective but must be dictated by implied rules
pneumatic tubing to a desired length Assembling of the components using pre-existing threads, brackets, or fittings Minor Cosmetic Labels B. Electronics Any additional electronics or sensors must be wired to the VEX brain and cannot directly interface with motors or solenoids. The additional electronics can only be powered by the VEX battery or a single additional battery pack. This additional battery pack must operate at a maximum of 12 volts. Low power motors not used for processing or sensing may be used, allowing an additional electronic such as a cooling fan for a microcontroller or a sensor that spins to take its reading. However, a commercial motor used to power a drivetrain or
and Discrete Event Simulation,” in The Society for Modeling and Simulation International. Retrieved from http://www.scs.org/confernc/hsc/hsc02/hsc/papers/hsc003.pdf. [Accessed Dec. 24, 2023].[2] C. Chung. Simulation Modelling Handbook: A Practical Approach. 1st ed. Boca Raton: CRC Press. 2004.[3] P. Goodall, R. Sharpe & A. West. A data-driven simulation to support remanufacturing operations. Comput. Ind. 2018, 105, 48–60.[4] P. Gullander & P. Solding, “Concepts for simulation-based value stream mapping,” Proceedings of the 2009 Winter Simulation Conference. M. D. Rossetti, R. R. Hill, B. Johansson, A. Dunkin and R. G. Ingalls, eds. Retrieved from http://www.informs- sim.org
:10.53293/jasn.2022.4745.1141[7] M. Kasim Mehdi and B. Owed, “The Influence of Infill Density and Speed of Printing on the Tensile Properties of the Three Dimension Printing Polylactic Acid Parts,” Journal of Engineering and Sustainable Development, vol. 27, no. 1, pp. 95–103, Jan. 2023, doi: https://doi.org/10.31272/jeasd.27.1.8.[8] D. Pranesh and N. Nandakumar, “Fabrication of PLA Structures using Fused Deposition Modelling and Experimental Investigation on Mechanical Properties ,” International Advanced Research Journal in Science, Engineering and Technology, vol. 8, no. 6, Jun. 2021. doi:10.17148/IARJSET.2021.8614[9] A. Kholil, E. Asyaefudin, N. Pinto, and S. Syaripuddin, “Compression Strength Characteristics of ABS and
Equipment used in Supporting CAD/CAM and CNC instruction (a) SNAP 200 Optical measurement Machine, (b) Brown and Sharpe CMM, (c) Assorted manual measurement instruments, (d) Profilometer To help students better understand the impact of their process planning and CAM decisions, measurements using different instruments are performed in almost every lab. In addition to manual instruments for dimensional measurements such as calipers, micrometers and gauge pins (see Figure 2), the students use an optical measurement machine (SNAP 200 from OGP) and a pair of coordinate measuring machines (Brown and Sharpe) to measure critical features on turned and milled components respectively. As will be described in a later section, some of these
educational institutions began offering AM courses in their curriculum[5]. For example,a study published in 2021 presented how a new AM was offered at University B. The coursereviewed various AM processes. It explained how AM facilitates the creation of complexgeometries, often without many constraints present in traditional manufacturing methods. Givenall these advantages, AM still contains many challenges. This is because the 3D-printed parts areoften treated as black boxes with invisible defects, such as pores and cracks. Such non-transparency significantly challenges the qualification and certification of additively manufacturedparts. An alternative solution to this challenge is building a digital twin of 3D printing equipment andprinted parts
and 15 show the experimental results on current-voltage (IV)curve and (b) power-voltage (PV) for maximum power point (MPP).The maximum power point (MPP) occurs when the resistance of the wind turbine is equal to theresistance of the load. The current and voltage are used to measure the power instead of measuringthe power with the Delorenzo Green kit. Figures 12 and13. Students Working on Delorenzo Kit Table 1. Performance of a wind turbine with varying wind speed data.Table. 2. Medium Wind Speed Table. 3. Low Wind SpeedFigure 14. Low Wind Speed Figure 15. Medium WindThe Power vs. Voltage graph vividly illustrates maximum power points for medium and low windspeeds. At a medium wind speed, the Maximum Power
about a physical system, which should include all information regardingthe system asset that could be obtained from its thorough inspection of the physical system. ADT model comprises three main parts: a) the real world, b) the virtual world and c) theconnections of information associating the virtual with the real world, with the digital twinserving as a digital controller of the real-world manufacturing system [5]. Besides DT, anotherkey technology for improving the performance in manufacturing systems is ArtificialIntelligence (AI). As AI technology becomes more mature and affordable, new applications canbe introduced in production systems to support manufacturers on complex decision-making andin their business processes. Fig. 1 shows the
Gandhi, and L. Ding, “Curriculum Design for Sustainability of Globally IntegratedManufacturing,” Jul. 2015, doi: https://doi.org/10.18260/p.23770.[4] E. Paravizo, O. C. Chaim, D. Braatz, B. Muschard, and H. Rozenfeld, “Exploring gamification tosupport manufacturing education on industry 4.0 as an enabler for innovation and sustainability,” ProcediaManufacturing, vol. 21, pp. 438–445, 2018, doi: https://doi.org/10.1016/j.promfg.2018.02.142.[5] K. Raoufi and K. Haapala, “Manufacturing Process and System Sustainability Analysis Tool: A Proof-of-Concept for Teaching Sustainable Product Design and Manufacturing Engineering,” doi:https://doi.org/10.1115/1.4064071%5D.[6] I. Roeder, M. Severengiz, R. Stark, and G. Seliger, “Open Educational Resources as
Tutorial for HoloLens 2Each high school involved in this grant project received the following equipment and theirassociated software as well as consumables needed for the equipment: ● 24 IoT kits ● 2 Structure Core 3D Scanners and 4 Apple iPads. ● 1 HoloLens 2 ● 1 VEX V5 Work cell System ● 10 Creality CR-10 FFF 3D printers ● 1 Elegoo Mars SLA 3D printerHopewell High School dedicated one of their classrooms as a digital manufacturing laboratoryafter working with the project team (Figure 3). Figure 3. Digital manufacturing laboratory at the Hopewell High SchoolMultiple training sessions were organized for the high school students and their teachers (Figure4a and b). Student training took place at the high schools, when
methods to address the students’ diverse learningstyles.Our research team is currently working on developing shared MR environments to allow formore comprehensive collaborative experiences among students. So, as future work, our teamaims to refine the MR module and upgrade it from single-user to multi-user operation, allowingfor synchronized shared experiences and conducting another research study.References[1] B. Jaeger and A. Upadhyay, “Understanding barriers to circular economy: cases from the manufacturing industry,” J. Enterp. Inf. Manag., vol. 33, no. 4, pp. 729–745, 2020.[2] S. Helper, T. Krueger, and H. Wial, “Why Does Manufacturing Matter? Which Manufacturing Matters? A Policy Framework,” SSRN Electron. J., Feb. 2012, doi
following is an example of sequence of operations, including a. Thestart button is closed, the conveyor (or lamp) starts to move, carry a workpiece, and stop it in afixture (in front of the photoelectric switch sensor), activating the photoelectric sensor, b. Openthe air and clamp the workpiece for 10 seconds, c. The robot moves to the location above theworkpiece, d. The motor rotates, e. The robot comes back to the original location, and f. Steps 1-5 are repeated 5 times. Figure 3. Robot program and programmable ladder logic (Allen-Bradley PLC)For Yamaha robot controller programming (RCX40), students check the program and program themotion defined by the commands between PLC and robot controller. Students make a new programin RSLogix 5000
2practices worldwide. The aim is for the Advanced Four Pillars to be a living documentwith periodic reviews to remain current.Four Pillars BackgroundThe Four Pillars of Manufacturing Knowledge, (Four Pillars) was first published in 2011as a component of the Curricula 2015; A Four Year Strategic Plan for ManufacturingEducation [1] (see Figure 1). The concept of the four pillars includes foundation skills inA) Mathematics and Science and B) Personnel Effectiveness with four major categories:1) Materials and manufacturing processes; 2) Product, tooling, and assembly engineering;3) Manufacturing systems and operations; and 4) Manufacturing competitiveness. Mottet. al. [2] credits the process of developing the Four Pillars to the Society ofManufacturing
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
Paper ID #44567Affordable and Localized Plastic Sheet Press Machine for Sustainable ManufacturingKenny Dwight Harris, Vaughn College of Aeronautics and Technology My Name is Kenny Harris, there are several things to know about myself, being a senior mechatronic engineering student at Vaughn College of aeronautics and technology. However, here are three important items related to myself: I am an eight-year Marine Corps veteran and an immigrant hailing from the island of Jamaica; finally, and most importantly, I make it a duty to participate in engineering related activities such as clubs, conferences and currently serve
Paper ID #44497Developing Elementary Students’ Career Awareness of Advanced ManufacturingHengtao Tang, University of South Carolina Hengtao Tang is an associate professor in Learning, Design and Technologies at the University of South Carolina. His research focuses on self-regulated learning in engineering education, especially using learning analytics and machine learning algorithms to understand the self-regulated learning process, profile self-regulated learners, and create AI-scaffolded interventions to support self-regulated learning.Dr. Ramy Harik, University of South Carolina Dr. Ramy Harik, a Fulbright Scholar, is