Paper ID #37827Exploring Systems Performance Using Modeling and Simulation –Project-based Study and TeachingDr. Md Fashiar Rahman, The University of Texas at El Paso Dr. Md Fashiar Rahman is an Assistant Professor of the Industrial, Manufacturing and Systems Engineer- ing (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 applica- tions. In addition, Dr. Rahman has taught various
Paper ID #38823Integrating Entrepreneurially Minded and Project-Based Learning into aManufacturing Supply Chain CourseDr. Yalcin Ertekin, Drexel University Yalcin Ertekin, Ph.D., CMfgE, CQE Yalcin Ertekin is a clinical professor in the College of Engineering, Department of Engineering Leadership and Society at Drexel University, Philadelphia, and serves as the Associate Department Head for Undergraduate Studies for the Engineering Technology program. He re- ceived his BS degree from Istanbul Technical University in Turkey, an MSc in Production Management from the University of Istanbul, an MS in Engineering Management, and
]. Despite the importance of standards toengineering practice, standards often receive only cursory coverage in engineering curriculum. Asurvey of engineering industry representatives showed that 73% of those surveyed felt that recentengineering graduates lacked knowledge of engineering codes and standards [3].In recent years, there have been several efforts to increase engineering students’ competencywith standards. The National Institute of Standards and Technology (NIST) has the StandardsServices Curricula Development Cooperative Agreement Program, which provides funds forinstitutions to develop innovative materials and methods to incorporate standards into theircurricula. Examples of past projects include Green Buildings and Sustainable
Paper ID #40259Implementing Virtual Reality Project Activities for Enhancing StudentLearning Experience in Robotics and AutomationDr. Richard Y Chiou, Drexel University Dr. Richard Y. Chiou is a Full Professor within the Engineering Technology Program in the Department of Engineering, Society, and Leadership at Drexel University, Philadelphia, USA. His educational back- ground is in manufacturing with an emphasis on mechatronics. In addition to his many years of industrial experience, he has taught many different engineering and technology courses at undergraduate and grad- uate levels. His tremendous research experience in
@ecsu.edu.Dr. Chandra Bhushan Asthana P.E., Elizabeth City State University Dr. Chandra Asthana completed undergraduate education in aeronautical engineering at the Indian In- stitute of Technology, Kharagpur, the postgraduate education in aeronautical engineering and Ph. D. in control systems design at Indian Institute of Science, ©American Society for Engineering Education, 2023 Curriculum Alignment for Workforce Development in Advanced ManufacturingAbstractThe purpose of this paper is to describe the NASA-funded advanced manufacturing project atElizabeth City State University (ECSU) that eventually will create an aerospace manufacturingecosystem to support collaboration
-consumerplastics. The molds for the project were CNC-milled in the Ingram Hall Makerspace bymanufacturing engineering students out of aluminum blocks. This paper will go through somelessons learned about the mold making process. As a part of the presentation, the evolution of themolds and sample products will be displayed. The paper also discusses some future projects thathave been started to move the overall project forward with the goal to make student-led post-consumer recycling an active part of the Ingram Hall Makerspace experience.BackgroundThis project is part of an ongoing effort to bring local on-campus recycling of post-consumerHDPE #2 plastics to the Ingram Hall Makerspace on the Texas State University campus. Amanufacturing engineering senior
into manufacturing engineeringcurriculum. The goal of this project is to establish a structured framework comprising of lectures,labs, and industrial experience, to enhance experiential learning about robotics and additivemanufacturing standards among engineering students.Program and Course DesignThis two-year project started from spring 2022 and will complete in spring 2024. To achieve thegoal of this project, there are three objectives: 1) Innovate course modules (lectures, labs, andprojects) to advance students' experiential learning of standards, 2) Produce virtual learningmaterials to improve students' career readiness, and 3) Establish a sustainable online coursestructure to enhance the impact of education.The courses involved in this
sensors to data analysis and insight enabled by dashboards, [Midwestern]University designed and implemented a graduate course in partnership with local industries. Thiscourse has the dual purpose of training the next generation of manufacturing professionals and inthe process supporting regional companies in addressing problems that could be solved with IoTor AI innovations. The goal of this study is to describe how the course was organized anddelivered following design principles of Experiential Learning Theory, and as outcomes of theapproach, we provide a description of the projects the students implemented within the regionalmanufacturing companies.2. Pedagogical FrameworkKolb's Experiential Learning Theory (ELT) [4], [5] was used as an
the drone body and aprocedure for embedding the electric wiring was developed. This integration required severaldesign modifications, which were implemented and prototyped. We believe that this modulardrone development project design and mentorship guided by the principles of experientiallearning and empowered by AM has increased the efficacy of students and helped them developseveral skills that are valuable to the future engineering work force including team skills,leadership, time-management, life-long and interdisciplinary learning, and entrepreneurshipmindset. Through a survey and focus group approach, the findings of an independent evaluatorconfirm those benefits to the students participating in the project.1. IntroductionAdditive
industry demands and enhancing their careers. This approach is alsobeneficial for multidisciplinary project-based learning courses throughout the engineeringprogram. Although a formal assessment of the approach's effectiveness is yet to be conducted,anecdotal evidence suggests positive outcomes. Overall, this paper demonstrates the value ofusing free software and low-cost hardware in teaching PLC concepts, paving the way for moreaccessible and cost-effective education in this crucial area of engineering.IntroductionIndustrial control systems are heavily reliant on Programmable Logic Controllers (PLCs). Thesecontrollers are specialized computer systems with inputs and outputs designed for high voltagesand currents. Moreover, they utilize
Computer Engineering, with a concentration in Industrial and Systems Engineering (ISE) in 2016. His research is focused on understanding Complex Technical and Socio-Technical Systems from an Information Theoretic approach. He has worked on a number of projects in the field of Electrical & Computer Engineering, Systems Engineering, Additive Manufacturing and Green Energy Manufacturing. His research interests are in Systems Engineering & Architecture, Complex systems, Systems testing and Application of Entropy to Complex Systems.Dr. Immanuel Edinbarough P.E., The University of Texas Rio Grande Valley Immanuel A. Edinbarough received his B.Sc. (Applied Sciences) degree from PSG College of Technol- ogy, University
Manufacturing CourseAbstractHands-on learning is the core of Engineering Technology programs, and a high number of thecourses is taught with the laboratory sections. This paper presents the service learning basedenhancements made in one of the Engineering Technology courses. Course students learnmanufacturing the complex machined workpieces using the G-code simulators. Teaching theapplied milling and turning practices is the main deliverable of the course with a required termproject which is focused to service learning concept. Student teams formed in the middle of thesemester design, simulate, and machine a functional service learning product using thedepartmental computers, simulators, and CNC machines for their project. The feedback providedby the
daily lives are found in households where washing machines are used, on the streets wheretraffic lights regulate traffic, or even in buildings that use air-conditioning units and automaticlighting systems. Open-loop control systems or closed-loop control systems are used in all thesesystems to determine a predefined sequence of processing steps.The Industrial Manufacturing System (IMS) developed at the college intends to address the needin education. This project introduces how the production assembly line develops. The systemconsists of Sorting, Assembly, Processing, Testing, Storage, and Buffering operations. TheSiemens Simatic PLC (Programmable Logic Controller) S7-300 is used in the manufacturingsystem and TIA (Total Integrated Automation
includes [6] report on teaching shipbuilding courses usingMS-Project, MS-Access, and FORAN, and. The MarineTech project which taught high schoolstudents with Project Based Learning [7]. Others, reported on the use of distance learning duringthe COVID-19 pandemic with games for an undergraduate marine engineering curriculum [8].In an ASEE Peer paper, Verma and Hughes [9] discuss the teaching of Lean Manufacturing atthe Apprentice School at Northrop Grumman, Newport News. Other publications involve theNational Shipbuilding Research Program such as the September 1992 report on the“Shipbuilder’s Classroom of the Future” in which outputs of PC graphics and text, videodisc,audio tape and linear programs are used to meet the needs of the trainee from an
manufacturing system for optimal response to disturbances,process deviations, and possible system failures.Digital twin concept has been embraced by various industries including manufacturing,agriculture, energy, etc. The global digital twin market size was valued at $11.12 billion in2022 and is projected to have compound growth of 37.5% from 2023 to 2030 [4]. Hence, it isnecessary to introduce this concept in undergraduate and graduate engineering programs sothat graduates can be prepared for emerging technologies and needs of industry.Digital twin concept has been introduced in the Mechanical and Aerospace Engineering MAE785/885 “Advanced Manufacturing Technologies” course at Old Dominion University. Themodern simulation tools, MATLAB with Simulink
ownership towards the game environment. Secondly, providing the user with a degree of control over a project, process or the organization is a good example of accomplishing this Core Drive.5) Social Influence and Relatedness: this aspect of the Octalysis framework concerns the social elements that motivate the users, such as social acceptance, feedback, companionship, mentorship, envy, and competition. An example situation evoking this Core Drive is when an individual observes a co-worker or a teacher that possesses great proficiency at a particular task, making the observer motivated to attain the same skill level.6) Scarcity and Impatience: associated with rarity or exclusivity, this Core Drive embodies a sense of desiring
-on, collaborative learning through solving real-world problems. He directs the operations of the Institute-wide Georgia Tech Capstone Design Expo, which highlights projects created by over 2000 Georgia Tech seniors graduating students on an annual basis. He serves as the faculty advisor for the student organization of over 100 student volunteers who all train, staff, and manage the operations of Georgia Tech’s Flowers Invention Studio – one of the nation’s premier volunteer student-run makerspace, open to all of the Georgia Tech community. Dr. Jariwala’s research interests are in the field of makerspaces, evidence-based design education, and advanced additive manufacturing process. During his Ph.D. studies, he was
improvement of the Engineering Technology (ET) curriculum, including integrated laboratories, project- based learning, and practicum-based assessment. Dr. Ertekin serves as the faculty advisor for the student chapter of the Society of Manufacturing Engineers (S058) and is a member of the College’s Undergradu- ate Curriculum Committee. Involved in research, Ertekin has received funding from the National Science Foundation (NSF), private foundations, and industry. His research has focused on the improvement of manufacturing laboratories and curricula and the adoption of process simulation into machining and addi- tive manufacturing practices. His areas of expertise are in CAD/CAM, manufacturing processes, machine and process
such as Germanyhave advanced the concept of the Fourth Industrial Revolution, often referred to as Industry 4.0[1]. The intent is to integrate design, manufacturing, and consumer activities seamlessly toincrease productivity, reliability and customer satisfaction. An Industry 4.0 manufacturingsystem—also called a cyber physical production system (CPPS)—integrates Internet of Things(IoT), Internet of Services (IoS, or also called Cloud Computing) and cyber-physical system(CPS) technologies [2]. These changes will profoundly impact manufacturing work and workers.Industry 4.0 is projected to add $2.2 trillion to domestic GDP by 2025. The estimated maximumvalue of the operational transformation brought by Industry 4.0 to the global
international projects that include technology-enhanced STEM education and teacher professional development/faculty devel- opment. Dr Stump conducts research on motivation and pedagogic theory as well as teaching methods.Trevor Morrisey, Massachusetts Institute of Technology Trevor Morrisey is a Software Developer working at MIT on interactive simulations, data visualizations, and serious games as part of the Virtual Manufacturing Lab project. ©American Society for Engineering Education, 2023 Paper ID #38176Christian Gabbianelli, Massachusetts Institute of Technology Christian Gabbianelli is a Software
, andsection 4 closes the papers by drawing a set of conclusions.Experimentation MethodologyImplementing i4.0 technologies to 3D printing process of Fused Deposition Modeling (FDM) isused in this paper to observe real-time monitoring and controlling in addition to the automation ofthe interoperational processes. The current 3D printing requires users to be on-site in order toupload and start the print, change the print file, and monitor the operations. Figure 2 shows thestandard procedure to 3D print a SolidWorks design. The operation is also not a continuous cycle;when the part is finished, the door is required to be opened before the part is removed, then thedoor needs to be closed before starting a new print job. The project objectives was to
, and Wayne Hung Texas A&M University, College Station, Texas Paper ID: 37593AbstractTraditional manufacturing classes cover engineering materials and manufacturing processes.Upon familiar with basic hand tools like calipers, micrometers, or indicators in laboratoryexercises, students would understand metrology as dimension with tolerance and miss otherimportant aspects of metrology such as shape, surface finish, and how the part shape wouldaffect dimensional tolerances. The limited metrology knowledge would later show in capstoneprojects for undergraduate students and research projects for graduate students when designingand fabricating their engineering components. The issues
object selection further.Unlike the discrete selector, the volumetric selector allows users to select multiple objectssimultaneously, even if other objects occlude some objects. When activated, the volumetricselector projects a cone from the user’s hand, visually representing the selection zone. A spherecast from the user’s hand collides with any objects within the cone’s base diameter (Figure 6).Next, we filter the objects by calculating the object’s angle from the user’s hand using the 𝑝𝑜𝑠𝑐𝑜𝑛𝑒 ⋅𝑝𝑜𝑠𝑜𝑏𝑗𝑒𝑐𝑡following formula: 𝜃 = cos −1 (|𝑝𝑜𝑠 ) 𝑐𝑜𝑛𝑒 ||𝑝𝑜𝑠𝑜𝑏𝑗𝑒𝑐𝑡 | Figure 6. A diagram of the volumetric