Conference Session

Manufacturing Laboratory Experience

Collection

2006 Annual Conference & Exposition

Authors

Sheng-Jen Hsieh, Texas A&M University; Landon Gray, Texas A&M University

Tagged Divisions

Manufacturing

-the-art facility for education and research in the areas of automation, control, and production systems. Dr. Hsieh received his Ph.D. in Industrial Engineering from Texas Tech University, Lubbock, TX.Landon Gray, Texas A&M University Landon Gray is a graduate student in the College of Architecture at Texas A&M University. Page 11.326.1© American Society for Engineering Education, 2006 Cognitive Support for Learning PLC Programming: Computer-Based Case StudiesAbstractStudents who wish to learn programmable logic controller (PLC) programming often face manyobstacles

Conference Session

Manufacturing Division Technical Session 4

Collection

2019 ASEE Annual Conference & Exposition

Authors

Zareena Gani, Higher Colleges of Technology

Tagged Divisions

Manufacturing

Paper ID #26140Project Based Learning for a Computer Integrated Manufacturing CourseDr. Zareena Gani, Higher Colleges of Technology Dr. Zareena Gani started her career in Engineering with a degree in Mechanical engineering from MK University, India. She has over 20 years of experience in both academia and industry. She has worked as a Design and Manufacturing engineer in Singapore before joining National University of Singapore from which she obtained her M.Eng degree. She also has worked in Singapore Institute of Manufactur- ing Technology (A*STAR) as a Research Fellow before moving to Canada. She gained exposure with

Conference Session

Innovative Project-based Learning Practices in Manufacturing

Collection

2015 ASEE Annual Conference & Exposition

Authors

Nicholas A. Baine, Grand Valley State University; Hugh Jack, Grand Valley State University

Tagged Divisions

Manufacturing

Paper ID #12554Motivating non-electrical and computer engineering students to learn C Pro-grammingDr. Nicholas A Baine, Grand Valley State University Nicholas Baine, Ph.D., is an Assistant Professor in the School of Engineering. His expertise is in the design of electrical control systems and sensor data fusion. As an instructor, he specializes in teaching freshman courses as well as control systems and design of digital and embedded systems. While at Wright State University, he was part of the group which developed a new model to teach mathematics to engineering students. As a new faculty member at Grand Valley State

Conference Session

Industrial Interactions and Educational Resources

Collection

2010 Annual Conference & Exposition

Authors

Paul Nutter, Ohio Northern University

Tagged Divisions

Manufacturing

geographical region (Honda, Chrysler, General Dynamics, and Toyota), andsignificant opportunities for internships, co-ops and jobs using this software at automotiveOEMs, major defense industries, and their tier one suppliers. Also the incorporation of suchadvanced computer simulation applications into an undergraduate program has served todifferentiate ours from other industrial technology programs.The lab facilities for these classes include 14 high-end computer workstations equipped withdual monitors. The students learn the various simulation applications through tutorials, and thencreate independent individual or team projects to demonstrate and develop basic competencies.During the winter and spring quarters student teams are then formed to

Conference Session

Automation in Manufacturing

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sheng-Jen Hsieh, Texas A&M University; Qinbo Li

Tagged Divisions

Manufacturing

Paper ID #23925Lessons Learned from an Intelligent Tutoring System for Computer Numer-ical Control Programming (CNC Tutor)Dr. Sheng-Jen ”Tony” Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a Professor in the Dwight Look College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the De- partment of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufacturing. He is also the Director of the

Conference Session

Instructional technologies - Simulations, VR, Remote Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Tzu-Liang Bill Tseng, University of Texas at El Paso; Md Fashiar Rahman, University of Texas at El Paso; Richard Chiou, Drexel University; Ivan Arturo Renteria-Marquez, University of Texas at El Paso; Aditya Akundi, University of Texas, Rio Grande Valley; Amit J Lopes, University of Texas at El Paso; Jeevarathinam Senthilkumar

Tagged Divisions

Manufacturing

, NASA, DoEd, KSEF and LMC. He is currently serving as an editor of Journal of Computer Standards & Interfaces.Mr. Md Fashiar Rahman, University of Texas at El Paso Md Fashiar Rahman is currently a doctoral student at the University of Texas at El Paso in Computational Science Program. He earned Master of Science in Computational Science at the University of Texas 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 and quality control. His research interests are in big data analytics, application of machine learning and deep learning for digital quality control. Email: mrahman13@miners.utep.eduDr. Richard

Conference Session

Use of Technology for Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Priya Manohar, Robert Morris University; Sushil Acharya, Robert Morris University; Peter Y Wu, Robert Morris University

Tagged Divisions

Manufacturing

lab exercises, they musttherefore be well prepared prior to conducting the hands-on activities. In this regards, this paperproposes that the computer simulation tools offer a wonderful opportunity to enhance the Page 24.524.3teaching – learning process. The paper describes a couple of process simulation and visualizationtools developed by the students at the authors’ institution as part of their project work.Over the past three decades a number of computer based expert systems have been developedaround the world for a more efficient solution of manufacturing problems in several areas suchas diagnostic, design, planning, scheduling, process

Conference Session

Technology Integration in the Classroom

Collection

2008 Annual Conference & Exposition

Authors

Yuqiu You, Morehead State University; Xiaolong Li, Morehead State University; Gabriel Alungbe, Morehead State University; Sam Mason, Morehead State University

Tagged Divisions

Manufacturing

includes a system for the connectionbetween computers and the physical setups and a web-based networking system. In the next stepof establishing more systems in the online laboratory, data acquisition, motion control,FieldPoint controllers will be integrated together for multiple systems. CNC machines, industrialrobots, and a CIM cell will be available for online laboratory by the development of systemintegration applications and web-based human-machine interfaces.VII. References[1]Gillet, D., Latchman, A.H., Salzmann, C., & Crisalle, O. D. (2003) Hands-on laboratory experiments in flexibleand distance learning. The Journal of Engineering Education.[2]Chen, S.H., Chen, R., Ramakrishnan, V., Hu, S.Y., & Y. Zhang. (2002) Development of

Conference Session

Simulation and Programming

Collection

2013 ASEE Annual Conference & Exposition

Authors

Carrie Steinlicht, South Dakota State University; Byron G. Garry, South Dakota State University

Tagged Divisions

Manufacturing

, computing materials costs, anddrawing up a manufacturing plan, including tooling and labor costs. While doing these learningexercises, the students are developing a systems view of the problem. By incorporating systemsthinking exercises in several courses, students will be better prepared to meet the needs of futureemployers.Active Learning and Problem-Based LearningHattie, writing in “Visible Learning, A Synthesis of over 800 Meta-Analyses Related toAchievement”, states “what teachers do matters”.4 The way that professionals approach theircraft of teaching has a large effect on whether students learn, or not. Good teachers provide“multiple opportunities and alternatives for developing learning strategies”.4Hattie also states that “it is what

Conference Session

Learning Strategies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Wangping Sun, Oregon Institute of Technology; Yanqing Gao, Oregon Institute of Technology

Tagged Divisions

Manufacturing

follow-on research, this paper willintroduce an algorithm that implements the model. In the following sections, the algorithm willbe described in detail and applied onto a part with patterned holes. Following that, anotherexample is given to demonstrate the effectiveness of computer realization of the algorithm. In theend, the students’ comments on learning outcomes and the thoughts on future research will beprovided.The algorithm to implement the datum-based GD&T modelThe datum-based GD&T model as shown in Figure 1 goes through six layers to place GD&Tspecifications on a part (Sun, 2018). The six layers are: 1) datum setup; 2) basic dimensions tolocate the features to be controlled; 3) part overall sizes and feature sizes; 4

Conference Session

Learning Strategies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Zhenhua Wu, Virginia State University; Amir Javaheri, Virginia State University

Tagged Divisions

Manufacturing

computer based simulation models. 3. To learn to formulate logistics and manufacturing problems suitable for analysis using simulation models. 4. To translate logistic and manufacturing problems into computer simulation models using simulation software packages. 5. To exercise simulation models for design and operational optimization purposes. 6. To introduce the use of statistical analysis for interpreting the results of simulation modeling.When evaluating students learning outcomes in the Simulation course, it is difficult to demonstratebroad modeling concepts and skills during a final exam. Thus, students are required to using thecomprehensive knowledge that they received in the class to achieve a term

Conference Session

Learning Strategies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Khalifa H. Harib, United Arab Emirates University; Sangarappillai Sivaloganathan, United Arab Emirates University; Hayder Zulafqar Ali, United Arab Emirates University; Bobby Mathew, United Arab Emirates University

Tagged Divisions

Manufacturing

Paper ID #29741Teaching Assembly Planning Using AND/OR Graph in a Design andManufacture Lab CourseDr. Khalifa H Harib, United Arab Emirates University Khalifa H. Harib joined the United Arab Emirates University in 1997. Currently he serves as associate professor of mechanical engineering. He obtained his B.Sc. degree from UAE University in 1986, and his M.Sc. and Ph.D. degrees from the Ohio State University in 1993 and 1997, all in mechanical engineering. His research and teaching interests include robotics, mechatronics, dynamics and control, and computer aided manufacturing.Dr. Sangarappillai Sivaloganathan, United Arab

Conference Session

Automation Subjects in Manufacturing Education

Collection

2011 ASEE Annual Conference & Exposition

Authors

Richard Chiou, Drexel University; Yalcin Ertekin, Drexel University, Engineering Technology; Michael G Mauk P.E., Drexel University; Robin Kizirian, Drexel University

Tagged Divisions

Manufacturing

process parameters, and optimize the CNCmachining process.BackgroundIn the United States, undergraduate curricula in Engineering Technology (ET),Mechanical Engineering, Industrial, or Manufacturing Engineering generally include acourse in Computer Numerical Control (CNC). The course syllabus comprises topicsmainly on machining and CNC. At Drexel University (DU), all the students in theEngineering Technology Program learn the basics of machining, Computer Aided Designand Manufacturing (CAD/CAM), dimensioning and tolerancing, and statistical processmeasurement in a CNC course. In machining process planning, selection of machine toolsand process tolerances is critical as they directly affect the part quality and the machiningtime. An optimum process

Conference Session

Lean Manufacturing and Six Sigma in Manufacturing Education 1

Collection

2008 Annual Conference & Exposition

Authors

Jacqueline Isaacs, Northeastern University; Jay Laird, Metaversal Studios; Seth Sivak, Carnegie Mellon University; Mark Sivak, Northeastern University

Tagged Divisions

Manufacturing

(since one event occurs per round) andthe educational content. Students can learn facts along multiple dimensions, including: thehistory of environmentally benign technologies over the past decades; environmental policiesand legislation that influence manufacturing in the global economy; current business strategiesand technologies used in industry to address environmental burdens; tradeoffs among economicand environmental policies that influence technology; effects of current global events on asophisticated supply chain and complex engineering system; and team-based decision-making.The transition to a computer-based platform removed the need for token trading, handcalculations and recordkeeping, and other time consuming elements of the board

Conference Session

Supply Chain and Logistics in Manufacturing Education

Collection

2016 ASEE Annual Conference & Exposition

Authors

Tzu-Liang Bill Tseng, University of Texas - El Paso; Aditya Akundi, University of Texas - El Paso; Juan Alejandro Saavedra, University of Texas - El Paso; Eric D. Smith, University of Texas - El Paso

Tagged Divisions

Manufacturing

graphically the percentage of students before and after hands-on and computer aidedsimulation sessions on their perception of correct lean tools among the choices given to them. It can beobserved that the students after the sessions were able to correctly identify the lean tools from the given choices.However, if closely observed, the students were not able to correctly identify the tools that are not a part of leanphilosophy. It is believed by the authors that this is because; the emphasis was on student’s learning the leantools but not necessarily on identifying the wrong tools of lean philosophy. Lean Tool 100.00% 80.00

Conference Session

Instructional technologies - Simulations, VR, Remote Education

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Irina Nicoleta Ciobanescu Husanu, Drexel University; Kevin Frank, Drexel University; Ayanna Elise Gardner, Drexel University; Richard Chiou, Drexel University

Tagged Divisions

Manufacturing

basic theoretical notions, developingreliable and efficient fuel cells for educational purposes can be very expensive. It has been proventhat computational fluid dynamics (CFD) models can be a critical tool to model fuel cells. Ourgoal is to take a CFD model from a CAD platform and put it into a virtual reality platform. Bydoing this, students will be able to learn about these more intuitive processes within the subjecttaught. After making a model in SolidWorks and running a simulation with the fuel cell, anundergraduate student compared the results to experimental results from the lab to validate thesimulated model. As part of the undergraduate research efforts, an undergraduate student explored the VRtechnology (engine) and developed

Conference Session

Manufacturing Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Atif Saeed, Vaughn College of Aeronautics & Technology; Niki T. Taheri, Vaughn College of Aeronautics & Technology

Tagged Divisions

Manufacturing

Paper ID #25234Early Learning Braille Block Language SystemMr. Atif Saeed, Vaughn College of Aeronautics & Technology Atif Saeed is a Junior in Mechatronic Engineering at Vaughn College of Aeronautics and Technology. He is also the Vice President of Vaughn College’s robotics team along with an active participant in both Society of Women Engineers and Unmanned Aerial Club at Vaughn College. He currently holds a FAA Airframe and Powerplant and also a FCC GROL. His interests include aerospace, aeronautics, and auto- motive.Ms. Niki T. Taheri, Vaughn College of Aeronautics & Technology Niki Taheri, Senior

Conference Session

Incorporating Innovative Technologies into the Curriculum

Collection

2011 ASEE Annual Conference & Exposition

Authors

Arif Sirinterlikci, Robert Morris University; Tony Lee Kerzmann, Robert Morris University

Tagged Divisions

Manufacturing

AC 2011-2717: ACTIVE LEARNING THROUGH SAE BAJA COMPETI-TIONArif Sirinterlikci, Robert Morris UniversityTony Lee Kerzmann, Robert Morris University Tony Kerzmann received both a Bachelor of Arts in Physics from Duquesne University and a Bachelor of Science in Mechanical Engineering from the University of Pittsburgh in 2004. After graduating, Tony Kerzmann enrolled in graduate school at the University of Pittsburgh where he graduated with a Master in Science and a Doctor of Philosophy in Mechanical Engineering, in 2007 and 2010, respectively. Currently, he is an assistant professor at Robert Morris University, where his research goals include, hybrid concentrating photovoltaic systems, energy system life cycle

Conference Session

Simulation and Programming

Collection

2013 ASEE Annual Conference & Exposition

Authors

Guanghsu A. Chang, Western Carolina University; Wesley L. Stone, Western Carolina University

Tagged Divisions

Manufacturing

vision, simulation and off-line programming. Actually, robot hands-on experience plays a key role in engineeringeducation. It is an effective tool for student learning, as well as for encouraging participation inclass learning and in research outside the classroom. In general, industrial robot programmingsubject can be integrated with the MET curriculum in three different ways: (1) for manufacturingautomation class that is specifically designed to teach students how to program differentindustrial robots; (2) for Computer Integrated Manufacturing (CIM) class that is designed toteach students how to integrate industrial robots into a production system; (3) for advanced levelprogramming classes or other specific topics such as robotic simulation

Conference Session

Progress in Manufacturing Education I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Sheng-Jen Hsieh, Texas A&M University; Punit Deotale, Texas A&M University

Tagged Divisions

Manufacturing

VDC Painting Process OUT0 120 VDC Prox. Sensor #2 – Position C IN6 24 VDC Conveyor OUT1 120 VDC Optical Sensor #1 – Position A IN4 24 VDCAfter playing the game, students also completed an opinion survey. This survey asked studentsto rate various characteristics of the prototype on a 7 point Likert scale. Students rated prototypefeatures, objectives, use of multimedia, instructional sequence, interaction with computer,emphasis on important information, relevance to education, and overall quality.Procedure. Because the instructional effectiveness of the game was unknown and because we didnot want the evaluation activities to interfere with students’ learning, the unit on automatedsystem design

Conference Session

Automation Subjects in Manufacturing Education I

Collection

2010 Annual Conference & Exposition

Authors

Nebojsa Jaksic, Colorado State University, Pueblo

Tagged Divisions

Manufacturing

nanotechnology education and research. He is a member of ASEE, IEEE, SME, and MRS. Page 15.1183.1© American Society for Engineering Education, 2010 Teaching PLCs using the Kolb Learning CycleAbstractThis work describes an integral approach in teaching programmable logic controllers (PLCs)using the Kolb learning cycle. PLCs represent a module in a computer-integrated manufacturingcourse in two engineering programs at our institution. The two main learning objectives of thismodule are to demonstrate practical knowledge of PLCs by being able to program them and todevelop a sufficient increase in problem solving skills using

Conference Session

Manufacturing Division Technical Session - Online and Remote Learning Communities

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Khalid H. Tantawi, University of Tennessee at Chattanooga; Ismail Fidan, Tennessee Technological University; George Chitiyo, Tennessee Technological University; Mel Cossette, Edmonds College

Tagged Topics

Diversity

Tagged Divisions

Manufacturing

Mundus Association. Dr. Tantawi has more than 30 journal and conference publications, he reviewed and judged many textbooks, scientific papers, and proposals in engineering journals and international conferences. He is an active member of IEEE, SME, IEOM, and other societies. He founded and advised several student chapters.Dr. 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

Conference Session

Manufacturing Curriculum and Course Innovations

Collection

2018 ASEE Annual Conference & Exposition

Authors

Zareena Gani, ADMC, Higher Colleges of Technology, UAE; Sangarappillai Sivaloganathan, United Arab Emirates University; sajeev karai, Higher Colleges of Technology; Huned Bohari Bohari, HCT

Tagged Topics

Diversity

Tagged Divisions

Manufacturing

Technology course using the learning by doing approach have enrolled for theadvanced elective – Computer Integrated Manufacturing course, where project based learningtechnique is to be adapted.

Conference Session

Innovative Project-based Learning Practices in Manufacturing

Collection

2015 ASEE Annual Conference & Exposition

Authors

Tumkor Serdar, University of Pittsburgh, Johnstown

Tagged Divisions

Manufacturing

Paper ID #11368Project-based Learning in Manufacturing Processes CourseDr. Tumkor Serdar, University of Pittsburgh, Johnstown Serdar Tumkor is an Assistant Professor of Mechanical Engineering Technology at University of Pitts- burgh at Johnstown. Dr. Tumkor has 20 years of experience in academia, having taught at Stevens Institute of Technology and Istanbul Technical University. His 25 years engineering experience includes design, manufacturing, and product development. He has been lecturing Manufacturing Processes, Machine De- sign, Engineering Design, and Computer Aided Technical Drawing courses

Conference Session

Manufacturing Education Innovation and Assessment

Collection

2006 Annual Conference & Exposition

Authors

David Wells, North Dakota State University

Tagged Divisions

Manufacturing

2006-17: A FRAMEWORK FOR STUDENT LEARNING IN MANUFACTURINGENGINEERINGDavid Wells, North Dakota State University David L. Wells has been a manufacturing engineer for over four decades, roughly equally divided between industrial and academic employment. He has been Professor of Industrial and Manufacturing Engineering at North Dakota State University since January 2000. Prior to this appointment, he served in a manufacturing engineering and education post at Focus: HOPE for six years and on the faculty of University of Cincinnati for fifteen years. His early career included some twenty years in research and development, manufacturing engineering and production management in the power

Conference Session

Experiences in Manufacturing Engineering Education

Collection

2018 ASEE Annual Conference & Exposition

Authors

Sidney E Martin III, Murray State University; Randal Wilson PhD, Murray State University

Tagged Divisions

Manufacturing

competitive skills of the organization, which creates value for theorganization and check on the needed core competencies [13]. The goal for the CLO is to createan agile, fast and effective method to instruct individuals with the latest skills. These learningmethods could incorporate videos, photos, job aids, and other agile communication methods. The CLO will need to understand talent management when recruiting new talent [14].The CLO is the lead for establishing programs to help engineers improve skills by setting upretraining programs. The CLO could consider implementing e-learning material, as engineersand computer scientists could easily review this information at their desk or on their portabledevices. For engineers who need to have a

Conference Session

Practices for Student Learning Engagement

Collection

2017 ASEE Annual Conference & Exposition

Authors

Ergin Erdem, Robert Morris University

Tagged Divisions

Manufacturing

, implementation of Autodesk MoldflowTM as an instructional tool forpromoting a dynamic interactive classroom environment and providing seamless integration ofclassroom activities such as traditional classroom teaching, computer simulation ofmanufacturing process, and actual physical laboratory experience related with the process. In thatregard, Autodesk MoldflowTM is used as one of the tools that would be used for promotingpositive outcomes associated with the student learning. Autodesk MoldflowTM is used formodeling and simulating of the plastic injection molding process. During computer simulationlaboratories, specific examples of Autodesk MoldflowTM is introduced for providing ideas tostudents on how the manufacturing process would be improved by

Conference Session

Make It!

Collection

2016 ASEE Annual Conference & Exposition

Authors

William H. Heeter, Porter High School Engineering Dept.; Sheng-Jen Hsieh, Texas A&M University; Jun Zou, Department of Electrical and Computer Engineering, Texas A&M University

Tagged Divisions

Manufacturing

&M University, a state-of-the-art facility for education and research in the areas of automation, control, and automated system integration.Dr. Jun Zou, Department of Electrical and Computer Engineering, Texas A&M University Jun Zou received his Ph.D. degree in electrical engineering from the University of Illinois at Urbana- Champaign in 2002. In 2004, he joined in the department of electrical and computer engineering at Texas A&M University, where he is currently an associate professor. His current research interests lie in the development of micro and nano opto-electro-mechanical devices and systems for biomedical imaging and sensing applications. He is a Senior Member of IEEE and SPIE

Conference Session

Student Learning Assessment Methods

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Aditya Akundi, University of Texas Rio Grande Valley; Immanuel Edinbarough P.E., University of Texas Rio Grande Valley

Tagged Divisions

Manufacturing

Paper ID #28718Text Mining based Qualitative Student Assessment of InteractiveSimulation Learning using SIMIO Tool – A Work in ProgressDr. Aditya Akundi, The University of Texas Rio Grande Valley Dr. Satya Aditya Akundi is currently affiliated to the Department of Manufacturing and Industrial Engi- neering, at the University of Texas Rio Grande Valley. He earned a Bachelor of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, India. He earned a Master of Science in Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). and a Ph.D. in

Conference Session

Practices for Student Learning Engagement

Collection

2017 ASEE Annual Conference & Exposition

Authors

Ana Djuric P.E., Wayne State University; Jeremy Lewis Rickli, Wayne State University; Vukica M. Jovanovic, Old Dominion University; Daniel Foster, Old Dominion University

Tagged Divisions

Manufacturing

Paper ID #20325Hands-on Learning Environment and Educational Curriculum on Collabo-rative RoboticsProf. Ana Djuric P.E., Wayne State University Dr. Ana Djuric is an Assistant Professor of Engineering Technology in the College of Engineering at Wayne State University, Detroit, Michigan. Dr. Djuric research areas are industrial robots, kinematics, dynamics, control, and advanced manufacturing systems. She supervises multiple undergraduate and graduate students in their research and is a member of Council on Undergraduate Research (CUR). Her Dipl.-Ing. degree is in the area of mechanical engineering from the University of