six individual skillmodules covering skills such as dependability, responsibility, independence, persistence,integrity, and ethics. The main goal is to create multiple opportunities to teach and reinforcesoft skills within the regular technical curriculum in the high schools. This paper discussesthe integration of the soft skills modules into the technical curriculum developed viaexamples, and outlines its potential uses in this engineering department’s curriculumincluding its manufacturing engineering program. The paper concludes with a discussion ofthe implementation of this project and provides some preliminary feedback from theparticipating high schools and reflections of the authors. It also includes future workopportunities such as
criteria for accrediting engineering and engineering technologyprograms reflect the importance of standards competence for students. Specifically, the 2023-2024 Engineering Accreditation Commission (EAC) criterion 5d states, “The curriculum mustinclude a culminating major engineering design experience that 1) incorporates appropriateengineering standards and multiple constraints, and 2) is based on the knowledge and skillsacquired in earlier course work.” [1] Also, the Engineering Technology AccreditationCommission (ETAC) criterion 3 states student outcomes of “an ability to conduct standard tests,measurements, and experiments and to analyze and interpret the results” (3.A.4) and “an abilityto conduct standard tests, measurements, and experiments
acquire in each area, and an ability to integrate innew topics that keeps pace with advances of the technology that are relevant to the needs of localand regional industries. One such area of the curriculum is CAD/CAM and CNC. In this paper wewill review some important advances in technology in this area that are being integrated into amanufacturing engineering curriculum. These include CAM part programming using sophisticatedtool path generation capabilities that promote high speed and high efficiency machining,programming multi-axis machining operations, the use of various measurement techniques toquantify variation and efficiency of CNC operations, and the use of advanced simulation andverification techniques to develop insight into and
fabricated partsCurriculum Development: On-ground, Online, HybridCurriculum development in the context of AM education is a multifaceted process that hasadapted dynamically to the diverse learning needs of students. A well-developed curriculum is amust for a successful delivery of AM content modules [20]. In the traditional on-ground setting,educational institutions have tailored their curricula to provide comprehensive AM instruction,integrating theoretical foundations with practical hands-on experiences in physical laboratorysettings [21]. This approach ensures the acquisition of fundamental knowledge and thedevelopment of essential skills. In contrast, online education in AM has flourished in recentyears, catering to a global audience seeking
. Georgeou, “Geometric dimensioning and tolerancing (GD&T) integration throughout a manufacturing engineering curriculum,” Proceedings, ASEE conference, 2016.[5] D.M. Yip-Hoi, D. Gill, “Use of Model-Based Definition to Support Learning of GD&T in a Manufacturing Engineering Curriculum,” Proceedings, ASEE conference, 2017.[6] Rios O., “An Example of Teaching Geometric Dimensioning and Tolerancing (GD&T) Concepts using 3D Printed Parts,” Proceedings, ASEE Gulf-Southwest Section Annual Conference, 2018.[7] J. Fuehne, “Metrology education including GD&T in engineering technology,” Proceedings, ASEE conference, 2022.[8] K.P. Hewerdine, J.M. Leake, and W.B. Hall, “Linking CAD and metrology to
Colorado Boulder. Scott’s research relates to accessible and inexpensive engineering equipment for laboratory education. ©American Society for Engineering Education, 2023 Teaching Industrial Control with Open-Source SoftwareAbstractThis paper presents an innovative approach to teaching Programmable Logic Controllers (PLCs)using open-source software and low-cost hardware in an engineering curriculum. The OpenPLCsoftware and a variety of affordable hardware platforms, such as Arduino and Raspberry Pi, areemployed to provide students with hands-on experience in programming PLCs. Theincorporation of PLC content in the second year of the curriculum prepares students for summerinternships, better satisfying
functionsincluding: - Providing simple explanations of technical topics; - Problem-solving; - Writing and debugging programs; - Writing and editing reports, memos, and correspondence; - Suggesting procedures and methods; - Solving simple problems; - etc.Surprisingly the tools were not developed for solving technical problems and have used lessfocused training data. We can expect that more focused tools will be developed and availablewithin a timeframe of a few months to years.Strategically these AI services will become an important part of an engineer’s toolbox. However,they will change the way we approach our daily work and the education required to get there.There are obvious concerns about academic integrity with this tool. In the
is executed, data is collected, stored, and graphed onto an integrated computer system. The computer automatically pulls relevant information from the resulting stress vs strain curve. The young’s modulus in N/mm² was recorded for each test. Fig 7. Dogbone specimen set up in the Universal Testing system for a tensile strength test. Compressive testing uses the Universal Testing System, but applies a force inwardinstead of an outward force. The specimen is
manufacturing engineering in HVAC and Steel Mill. Trisha is currently a Lecturer in the Engineering Studies at Rochester Institute of Technology. She is currently pursuing a Master’s in Manufacturing and Mechanical System Integration at RIT.Mark Davis, Rochester Institute of TechnologyDr. Yunbo Zhang, Rochester Institute of Technology Dr. Yunbo Zhang is currently an Assistant Professor in Department of Industrial & Systems Engineering at Rochester Institute of Technology (RIT). Dr. Zhangˆa C™s research focuses on investigating computational methods for advancing design and manufacturingDr. Rui Liu, Rochester Institute of Technology Dr. Rui Liu is currently an Assistant Professor in the Mechanical Engineering Department at
@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
an MS and Ph.D. in Mechanical Engineering from the University of MissouriRolla. Dr. Ertekin has also been a Certified Manufactur- ing 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 Ken- tucky 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
Paper ID #43994The integration of sustainability and automation to enhance manufacturingin Industry 4.0Dr. Hossain Ahmed, Austin Peay State University Hossain Ahmed earned an M.S. in mechanical engineering from Lamar University and a Ph.D. in mechanical and energy engineering from the University of North Texas. Dr. Ahmed is an assistant professor in the Department of Engineering Technology at Austin Peay State University, TN. His research interests are computational fluid dynamics (CFD), corrosion, and structural health monitoring (SHM). Dr. Ahmed has authored many journals, conference articles, and book chapters. He also
and Ph.D. in Mechanical Engineering from the University of Missouri Rolla. 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
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
in the Engineering Technology curriculum, there is an opportunity to expand knowledgeinvolving the integration of automation into a production system. In order to better prepare studentsfor this subject and the job market, an interdisciplinary senior design team is designing andconstructing a cobot system which will simulate a cobot assisting in CNC manufacturing (Figure9). This newly developed integrated cell will have a new co-robot with vision camera for therobotics lab and will be used as an educational module involving the integration of automatedmachinery. This module is still under development and will be integrated to this course in nextyear offering. Figure 9. Conceptual co-robot integrated cell and simulation with Robodk
representation, andmulti-object selection. We conduct an analysis of the two modes of VR interaction in a craftproduction task and show increased performance of using magic interactions.1. IntroductionManufacturing helps create wealth, provides jobs, and is vital to the economy. Because technologyis changing rapidly, manufacturing companies need to adapt and stay ahead of the competition.There is an imperative need to train future engineers in the manufacturing industries to help themadapt the latest technology to stay competitive. A hands-on curriculum that blends theory andpractical skills is needed to teach these essential skills. An integral part of such a curriculum is alearning factory, which is a simulation environment that is designed to provide
engineering,with some courses being taught in a multi-campus instructional (MCI) format. Although wellestablished in some areas, managing and delivering a new program in a multi-campus formatpresents several challenges, exacerbated by COVID-19, administrative hurdles, culturaldifferences between campuses, and institutional context including lab equipment.Two case studies representing two courses in the manufacturing engineering curriculum areexamined with an emphasis placed on challenges encountered, adaptation to a changing teachingenvironment, and student experience of teaching and learning. The course instructors areinterviewed with narratives examined through an interpretivist paradigm using inductive thematicanalysis to explore themes
Paper ID #39566Implementation of Actionable Gamification Design Framework in Machin-ingTrainingKrzysztof Kamil Jarosz, Rochester Institute of Technology Graduate Research Assistant at RIT SMRGTrisha Gard-Thompson, Rochester Institute of Technology (COE)Chao Peng, Rochester Institute of Technology Dr. Chao Peng is an Associate Professor of the School of Interactive Games and Media in the Golisano College of Computing and Information Sciences at Rochester Institute of Technology. His research areas include but are not limited to virtual reality, gamification, high-performance graphics, and 3D interaction.Dr. Rui Liu, Rochester
integrate sustainabilityinto education, particularly in manufacturing engineering and technology. It advocates for mentoringindependent studies as another approach beside developed curriculum with sustainability to foster a cultureof sustainability excellence in manufacturing engineering and technology, supporting the development ofsustainability education in both teaching and research. From sustainability principles integration, andenvironmentally friendly designs to optimizing production processes to leveraging Industry 4.0technologies, this array is seen as key to reshaping the future of manufacturing. The approach of this workfocuses on an independent research-based study to experimentally test the impact of main operationalconditions on Carbon
provides an overview of theimpact of automation and industrialization on modern society and a brief history of thedevelopment of automation technology.• Assembly Line Operations: This module examines the various operations involved in theproduction assembly line, including Sorting, Assembly, Processing, Testing, Storage, andBuffering.• Programmable Logic Controllers: This module provides a comprehensive introduction to PLCs,including programming and operations. It also covers the Siemens Simatic PLC (ProgrammableLogic Controller) S7-300 and its use in the IMS.• TIA (Totally Integrated Automation): This module covers the use of the TIA Portal in the IMS,including its functions, implementation, and advantages.• PLC Programming and Debugging: This
-axial Kistler accelerometer, which canmeasure vibration in X, Y, and Z directions. These two types of sensors are typical for machiningdynamics, and can also be extended for other potential applications on machine tools, machinedproducts, and cutting tools as summarized in Table 1 [10]. The adoption of a dynamometer andaccelerometer enriches the curriculum in our Manufacturing Automation course. In that course,we have one chapter introducing analog sensors to students. Nevertheless, we previously focusedon low cost sensors such as thermocouple and RTD due to restriction of equipment, a dynamometercost approximately $65k to $70k, and an accelerometer costs from $700 to $2000. Now, we canconnect these sensor measurements with machining dynamics
knowledge, skills, and values totackle real-world issues, while fostering a sense of civic duty, empathy, and self-improvement[1].Examples of service learning projects include designing and building a toy for a disabled kid,fabricating laboratory equipment for a science teacher, developing a playground for an under-served community, and participating in an environmental clean-up initiative. Service learningcan be integrated into various academic fields, including but not limited to, education,psychology, sociology, public health, and environmental studies.Service learning offers numerous benefits to students, including developing leadership skills,promoting civic engagement, and gaining hands-on experience in their field of study. It alsopositively
in additive manufacturing courses and projectsAbstract: Engineers in a variety of industries use engineering standards to guide their work.However, many engineering students have little awareness of relevant standards or codes,especially in cutting-edge fields with rapidly developing standards such as additivemanufacturing. To address this gap, we have developed four online learning modules focused onthe topic of additive manufacturing which are deployed in our university’s learning managementsystem. These modules can be incorporated into manufacturing and design courses throughoutthe engineering curriculum. The covered topics include an introduction to engineering standards,an introduction to standards in additive manufacturing, how
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
result of robotics and automation integrated withVR in the Department. This work provides an innovative solution for optimizing learningeffectiveness and improving educational outcomes through the development of virtual models thatcan be used and integrated into the existing robotics laboratory. The goal is to apply theseprototypical simulators to train undergraduate engineering students and professionals in roboticseducation; and to offer experiential learning opportunities in 3D modeling, simulation, andvisualization. The final project was assigned to the students with the topics on virtual realitymodeling related to green manufacturing or other engineering topics. These projects have becomea good example of student-centric STEM program as well
Robotics with Internet-of-Things for Student Learning on Industrial Robotics and Automation in Manufacturing AbstractThis paper explores the experience of implementing virtual reality (VR) laboratory activities withInternet-of-Things (IoT) for students to learn industrial robotics and automation in manufacturing.This work provides an innovative solution for optimizing learning effectiveness and improvingeducational outcomes through the development of VR models that can be used and integrated intothe existing robotics laboratory. We explore methods of using ABB RobotStudio to allow studentsto program traditional industrial robots using the project-based learning approach. Key features ofhow
more likely to encourage furtherproliferation than sensible integration. It also needs to be said that there are other, distinguishedcontributors to research on learning styles who work in order to enhance the learning capabilitiesof individuals and firms and not in order to make money". Financial motives also seem to play amajor role by XR development companies when they prescribe specific tools and technologies tofaculty to integrate within the curriculum. There are several different models of learning styles,but the most widely recognized are: 1. Visual learners: Visual learners prefer to learn through visual aids such as pictures, diagrams, and videos. They benefit from seeing information in a graphical or visual format
curriculum road mapping workshops where all relevant stakeholders cantogether explore and chart us how to respond to the changing industrial landscape. Drawing fromtheses workshop outcomes, curricula will be developed in collaboration with all stakeholders tocreate a course material and hands-on labs that allow for manufacturing technology students togain an appropriate level of understanding of the essentials of each other’s programs. Theinfluence that industry 4.0 has on the industrial sector has been projected to the topic ofengineering education. Sakhapov et al, state that industry 4.0 has already started due to industrialchanges in IoT, integration of cyber physical systems (CPS) in manufacturing processes andapplication of neural networks. For
].With these features, MR technology aims to solve VR-related issues, like image quality, real-time fidelity, motion sickness, etc., while maintaining the required level of immersive experienceand interaction, increasing its usage in many applications. Thus, many researchers have started toemploy MR technology in manufacturing education [50], [51]. The work presented in [51]proposes integrating VR and AR by combining a virtual assembly environment with an ARapplication. However, the adopted approach utilizes a hybrid tracking system to synchronizevirtual and real hands, lacking the advanced holographic features of MR technology. Althoughthe MR system integrates AR and VR using webcams, gloves, and display monitors, it does notleverage state-of
geometric shapes,multi-material, and multi-functional parts can be additively manufactured in a single operationwhich is a significant advantage over conventional manufacturing processes. Over the past twodecades, the intensive research carried out on AM technologies has yielded tremendous progressin the development and commercialization of new and innovative AM processes, such as FusedDeposition Modeling (FDM), selective laser sintering, and other rapid prototyping methods, aswell as numerous practical applications in aerospace, automotive, biomedical, civil, energy andother industries [1]. Many manufacturing industries have realized the benefits of AM technologyand started utilizing it as an integral part of their processes [2]–[4]. Some