Paper ID #12552The Chisel Test: A Simple, Scalable Learning Activity to Compare ColdWorking, Hot Working, and Quench Hardening of SteelsProf. Julia L. Morse, Kansas State University Salina Julia Morse is Associate Professor and Program Coordinator for Mechanical Engineering Technology at Kansas State University, K-State Salina. A Certified Manufacturing Engineer (CMfgE) and a Certified Enterprise Integrator (CEI), she teaches lecture and laboratory courses in the areas of computer-aided design, manufacturing and materials, and automation systems. Prof. Morse earned a B.S in Industrial Engineering from the University of
generalized models of electric vehicle charging circuits for use in a tool designed to aid distribution engineers in planning electric vehicle charging installations.Mr. Timothy D. Gulzow, Portland State University Tim is seeking a bachelors degree in electrical engineering and is a research assistant in the PGE Founda- tion Power Engineering Education Laboratory at Portland State University.Dr. Robert B Bass, Portland State University Robert Bass, Ph.D. is an associate professor in the Department of Electrical & Computer Engineering at Portland State University. His research focuses on electrical power systems, particularly distributed utility assets and the overlaying control and communications architectures that
engineering program to the Six Sigma green belt standard. The map shows that programs generally deliver essential statistical methods and content. Other topics in the standard, such as ‘Piloting your solution’, are more suited to experiential activities in laboratories and projects. The outcome of the paper is an indication of how the standard manufacturing curriculum supports the Six Sigma standard. In addition, the paper will highlight aspects of the standard that do not require the addition of new courses but can enhance traditional topic coverage. 2. Six Sigma Green Belt Body of Knowledge The topics listed below are summarized from the American Society for Quality Body of 1Knowledge for
the main teaching platform. However, when presented with options,students never use this platform for class projects or capstone projects. Surveys showed that thiswas due to the fact that the laboratory experiments were topic specific and did not present asystem design approach which made it difficult for students who attempted to use thismicrocontroller [1]. A new platform, the C-Stamp microcontroller, was introduced as analternative for their design. This development boards provide a pre-assembled hardware platform,which include common peripheries in addition to programming libraries. These benefitsencouraged some students to implement the C-Stamp microcontroller in their senior designprojects with fairly successful outcomes [1]. The
career in automotive research as a product development engineer at the University of Windsor/Chrysler Canada Automotive Research and Development Centre (ARDC), conducting vehi- cle durability studies and associated research activities in the Road Test Simulation (RTS) laboratory. In 2005, she joined the University of Windsor as an Experiential Learning Specialist, focusing on teaching and educational research in hands-on learning and cooperative education as it relates to undergraduate engineering. She has developed neural network models for automotive rubber bushings for incorporation in durability simulations with the goal of accelerating product development. Additional work related to the field of composites
Paper ID #11975Closing Achievement Gaps using the Green-BIM Teaching Method in Con-struction Education CurriculumProf. Jin-Lee Kim P.E., California State University, Long Beach Dr. Jin-Lee Kim, Ph.D., P.E., LEED AP BD+C, USGBC Faculty, is an Associate Professor of the De- partment of Civil Engineering and Construction Engineering Management at California State University Long Beach. He is a director of Green Building Information Modeling laboratory. His research interests include advanced construction scheduling techniques for optimization, green buildings, building informa- tion modeling, cost estimating methods
, which they tend to speak about morethan others. We also probe more deeply into how and why the most effective teams or groupswork for students. In a mixed methods approach, our quantitative (survey) data first show whichacademic communities students participate in and how active they are in these communities. Ourqualitative data (interviews and focus groups) then explain how the most influential communitieswork for students. Our results show that while students reported participating at various levels,ranging from minimally to very active, in a broad range of academic groups available throughtheir home departments and colleges, most (53%) are active or very active in laboratory groupsand a large number (42%) are active or very active in
Zeeh1 1. Students, University of Southern Maine, Gorham, ME 2. U.S. Navy, former students, University of Southern Maine, Gorham, ME 3. Professors, University of Southern Maine, Gorham, MEProf. Daniel M Martinez, University of Southern Maine Dr. Daniel M. Martinez received his B.S. in Chemical Engineering at the University of Rochester in western New York. He continued there to pursue a Ph.D., and after qualifying for entry into the program left for NASA’s Goddard Space Flight Center in Maryland to conduct his graduate laboratory research. At Goddard he studied nucleation phenomenon, specifically vapor to particle conversion of metals in a gas evaporation condensation chamber. At the end of his Ph.D. work, Daniel became
. The program includes sustainability emphasis that attempts toengage students with the awareness of how and why a diversity of values, viewpoints, andactions might assist them in developing into flexible, creative practitioners, with the capacity toenact sustainability in a diverse array of future professional contexts4. Additionally, the programincludes many opportunities for experiential education in the form of labs and hands-on projects.We consider a Madison Engineer to be alumni that successfully combine these attributes.ENGR 314: Materials and MechanicsMaterials & Mechanics is a four credit hour lecture/laboratory core (required) course within theMadison Engineering curriculum. ENGR 314 is generally taken in the junior year and
Singapore University of Technology and Design (SUTD). Dr. Wood completed his M.S. and Ph.D. degrees in the Division of Engineering and Applied Science at the California Institute of Technology, where he was an AT&T Bell Laboratories Ph.D. Scholar. Dr. Wood joined the faculty at the University of Texas in September 1989 and established a computational and experimental laboratory for research in engineering design and manufacturing, in addition to a teaching laboratory for prototyping, reverse engineering measurements, and testing. During his academic career, Dr. Wood was a Distinguished Visiting Professor at the United States Air Force Academy. Through 2011, Dr. Wood was a Professor of Mechanical Engineering, Design
Paper ID #13037Mechatronics Experential Learning for Broadening Participation in Engi-neeringMr. Ashley Guy, University of Texas at Arlington Ashley Guy is a doctoral student with the Robotics, Biomechanics, and Dynamic Systems Laboratory at the University of Texas at Arlington. He holds B.S. degrees in both Biology and Mechanical Engineering and is currently pursuing his Ph.D. with Dr. Alan Bowling. His research includes micro- and nano-scale dynamics.Prof. Alan Bowling, University of Texas at ArlingtonProf. Panayiotis S. Shiakolas, University of Texas, Arlington
near industrial technology laboratory building at Sam Houston StateUniversity were the vibration source. The building used for this project is a combined laboratory Page 26.599.4and shop and classroom facility with two condenser units–one single fan and one twin fan. Theinitial study employs the twin fan unit. Initially, the AC condenser unit was studied, and potentialpaths of the study were generated.Figure 3. R-410A XP series 6-1/2 ton 60Hz AC Condenser UnitFigure 4. Pictorial of AC condenser unit showing waste energy sources for energy harvestingViewing the unit from above, the rotation of both fans is clockwise. The fan blade length
engagement and formal cooperative learning, are being utilized tointentionally cultivate these habits of mind across courses in 5 disciplines. They are based on acommon architecture in all ESTEME@OSU classes: larger “lectures” punctuated by small sectionstudio workshops (or laboratories). The relationship of EBIPs, environment, and learning goals isshown in Table 1.Table 1. Relation of evidence-based instructional practice to learning goals Evidence-based Practice Environment Leaning Goal Interactive Engagement with Lecture Conceptual Understanding: Well-Connected Knowledge frequent formative feedback Studio Workshop Formal Cooperative Learning
in the engineering classroom.Dr. Paul B Golter, Washington State University Paul B. Golter obtained an MS and PhD Washington State University and made the switch from Instruc- tional Laboratory Supervisor to Post-Doctoral Research Associate on an engineering education project. His research area has been engineering education, specifically around the development and assessment of technologies to bring fluid mechanics and heat transfer laboratory experiences into the classroom.Prof. Robert F. Richards, Washington State University Dr. Robert Richards received the PhD in Engineering from the University of California, Irvine. He then worked in the Building and Fire Research Laboratory at NIST as a Post-Doctoral Researcher
, communication skills, andprofessionalism. As a foundation for sustained success in mechanical engineering, additionalcourse topics include: lifelong learning, time management, community and professional service,and career development. Laboratory: two hours.Course Objectives: Students who successfully complete the course requirements should be ableto: 1) Explain the engineering profession and engineering ethics. 2) Use technical communication skills to explain the results/analysis of introductory laboratory exercises. 3) Explain engineering analysis and design. 4) Analyze data collected during laboratory exercises. 5) Analyze the impact engineering has had on the modern world. 6) Design a simple engineering device, write a design
Experience of Undergraduate Students; and Engineering Outreach Service Learning courses, among others. She is also a faculty advisor for the California Water Environment Association (CWEA), Engineers Without Boarders (EWB), and Society of Hispanic Professionals Engineers (SHPE) student chapters. Additionally, Dr. Palomo is the CE Water Analysis laboratory director and coordinates all teaching, research and safety training activities in the engineering laboratory. Dr. Palomo conducts research in surface water quality improvement via natural treatment systems, water and wastewater treat- ment processes, and water education. She is involved in outreach programs for K-12 students to increase the participation of Hispanic
. Page 26.1345.1 c American Society for Engineering Education, 2015 Revitalizing an Electromechanical Energy Conversion CourseOur University’s Electrical and Computer Engineering Department has offered an electivecourse in “Electric Machinery” for decades. It is a 4-credit course offered each fall term forjuniors and seniors, with a laboratory component. Prior to fall 2013, this course had been lecture-heavy due to school scheduling requirements, and it suffered from use of old laboratoryequipment that was difficult to maintain. With increasing focus on renewable energy and powerelectronics in the curriculum, we felt the need to modernize this course so that it provides a betterlearning experience and
organizations, these teams often rely principally on their university’s or college’sguidelines to develop a set of standard operating procedures. Though these set a base for theteam, the guidelines are no substitute for training that is specific to the safety risks associatedwith work the team is doing. At times, there is limited faculty supervision for such teams in theactual work bays and laboratories, unlike a lab associated with a class which will have onsitestaff, teach assistant or faculty oversight when the physical work is being executed. It is alsodifficult to convince student team leaders to invest time into training team members who may notparticipate on an ongoing basis. In this work a safety training system was implemented at auniversity
contain hands-on laboratory activities to emphasizecourse concepts4, it became apparently that this course should contain similar learningcomponents for teaching professional skills, mainly using simulations. This was supported by theadaptive nature of this course, which is continually redesigned to maintain its relevance in thearea of technology. Thus, new technology components are implemented every two years, whilemaintaining the historical elements of industry practices that do not waiver, such as the history ofthe Internet and Circuitry.The course under examination not only contains a lecture component, but a hands-on computerlab component, which include the simulations. The hands-on lab component allows students theopportunity to actively
manufacturing preferences. A generic manufacturing engineer isharder to educate and to fit into the workforce generic mechanical engineer. These regionalpreferences are best identified through the inclusion of a vibrant Industrial Advisory Committeethat collaborates with the faculty and helps to guide their decisions on curriculum.Finally, a third major challenge to creating a Manufacturing Engineering program is establishingworking laboratory and fabrication spaces and facilities to support the curriculum. Since bydefinition manufacturing requires the fabrication of a product, tool or system, by definition thereneeds to be equipment and technical staff to support fabrication activities.Overview of the programs at Western Washington University and
inimplementing their models by means of domain-specific software (e.g., Virtual Kinetics ofMaterials Laboratory (VKML), Gibbs, MATLAB); they also validated their own implementedmodels by comparing and contrasting them upon existing simulations, empirical data fromjournal articles, test cases provided by the instructor, or theoretical models described ontextbooks. Problem implementation phase: in this stage students use their validatedimplementation to solve the problem or design challenge. The four stages of problem solvingused are shown in Fig 1. Figure 1. The four stages of problem solving, adapted from the “integrated model of problem solving” (Van Meter et al., 2006)MethodsInstructional ContextThe course
system was designed via collaboration with the FederalAviation Administration (FAA) Oklahoma Communications Engineering Team (OKCET)Laboratory and has found an immediate application as a large-scale switching system. Thefundamental hardware unit for this system is the National Instruments (NI) PXI chassis with a NISwitchBlock populated with matrix relay cards. The chassis can be deployed in any location,contributing to the robust nature of the design. The advantage of using an integrated NI system ismodularity; the hardware can be easily tailored to the specific needs of each end user. Expansionand customization is accomplished with the addition of a wide spectrum of matrix relay cards.Matrix cards are available with a varying number of relays
highest tower possibleusing only spaghetti, tape, and string. While still a useful tool for good design practices, thechallenge also underscores lessons on materials and equilibrium in an engaging, hands-onexercise. Similar investigations of bottle acoustics or eggshell architecture recast physics lecturesas design evaluations in a lively fashion, promoting student enthusiasm and interaction.The course also includes a weekly laboratory section. Akin to time spent in studio, this is used asan opportunity to refine techniques and understanding through extended exploration. Here,students have the time to attempt different strategies or investigate a model more thoroughly. Asa case in point, shortly after the Marshmallow Challenge in class, the lab
Paper ID #11385MAKER: Whack-a-Mole for PLC ProgrammingDr. Sheng-Jen ”Tony” Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is 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 Rockwell Automation laboratory at Texas A&M University, a state
meaningful context8.Furthermore, the introduction of these junior level courses will establish a Nano-Science andEngineering base for an interdisciplinary minor for the (technical) students who also choosedesignated advanced level courses in participating departments, and the new senior/graduatelevel inter-departmental laboratory course in the fabrication and characterization of Page 26.1182.3nanomaterials and nanostructures (ECE410/510.)Examples of advanced level nanotechnology courses include: ECE 417/517 Nanoelectronics (4 credits): Operational principles and circuit applications of nanoelectronic devices: electron tunneling devices, (Esaki
Page 26.1546.2a graduate student or post-doc mentor, who oversee the student’s research project. Graduatestudent mentors are offered a $1,000 stipend at the end of the summer. Mentoring occurs throughresearch group meetings and one-on-one discussions. Each student has their own hands-onindependent research project that is intended to further develop the student’s interest andknowledge in science and engineering careers.The TTE REU program consists of a 9 week summer long research internship. During the firstweek, students take part in a laboratory “boot camp” that introduces basic laboratory andresearch skills in order to acclimate the students to the university and labs. Students alsoparticipate in an orientation that covers strategies for
perform Background 3 Project description 5 Results and discussion 2 Conclusion and recommendations 4 References 1 Appendix 5 Total 40 Figure 9. Grading Metric for Formal Project ReportConclusionsThe use of an N-Scale model train in the laboratory setting of a PLC course is a very effectivetool. The student response, when the rest of the equipment in the laboratory was workingcorrectly, was very positive. This is seen in the average student satisfaction of
his Ph.D. in Mechanical Engineering, from University of Waterloo, Ontario, Canada. He has held a number of industrial & academic positions and affiliations with organizations that included Brookhaven National Laboratory (BNL), Rensselaer Polytechnic Institute (RPI), Stony Brook University (SBU), Massachusetts Institute of Technology (MIT), Atomic Energy of Canada Inc., Ontario Hydro, NASA Kennedy, NASA Marshall Space Flight Centers, and the U.S. Naval Surface Warfare Cen- ter at Carderock, Md. Dr. Tawfik is the co-author of more than 60 research papers in the areas of Hydrogen Fuel Cells, Biomass Energy, Thermo- fluids and Two Phase Flow published in prestigious peer reviewed journals and conference symposiums
student interactions are effective in achievingstudent-centered and inquiry-based learning, both which are proven approaches for building Page 26.1277.2students’ problem solving and laboratory skills5. Research on the outcomes of SCALE-UP inengineering and mathematics show students participating in SCALE-UP classrooms exhibitedhigher levels of efficacy with the course material6. There is additional evidence of improvedacademic performance, conceptual understanding, and skills development in studentsparticipating in SCALE-UP classrooms compared to traditional lecture-based instruction7.PurposeThe GE Program is committed to continuously improving
. The website is currently being expanded to include other instructional tools includinginquiry based activities,30 formative class reflection questions,31 surveys, and virtual laboratories,all of which are focused on assessing and improving students’ conceptual understanding. 700 faculty 14000 600 students 12000 500 Student Users (in blue