beenoffering Associate Degree Programs in Mechanical and Electrical disciplines for along time. Over the last decade, the decision was made to offer four-year engineeringtechnology programs in electromechanical as well as mechanical disciplines. As aresult, the Department of Engineering Technology had to design and develop anyearlong four credit hour, two-semester course entitled ENT 497- 498. This wasaccomplished in 1996, and was designed to conform with the requirements of ABET.(Narayanan, a, b, c, d, e). Later, the Liberal Education Council of Miami Universityrecognized this sequence as an approved Miami University Capstone (MPC)Experience. The actual Miami University Catalog description of the newly designedcourse is given below:Miami University
student must describe a process in depth or compare andcontrast two processes. The weighting scheme for all course components is shown in Table 3. Table 3. Weighting of Course Components Component Component Weight In-Class Exercises 10% Lab Activities 25% Exam I. 15% Exam II. 15% Exam III. 15% Comprehensive Final Exam 20%A standard ten-point grading scheme is used where 90 to 100 = A, 80 to 89 = B, and so forth.The
. At the end of the quarter, each student will be able to keep an airmotor which often ends up being used by alumni as a desk trophy.A typical quarter would proceed as follows:Week 1Lecture: Introduction Metrology and measuring toolsLab: Lab introductions, guidelines, and orientation Safety discussion and assign safety quiz Measuring exercise Overview of lathes and mills with demo and dry run Explanation of cleanup procedureWeek 2Lecture: Lathe and mills and machining variablesLab: Safety quiz due Review of lathes and mills and practice machining air Group A – lathes: cylinder exercise facing and turning Group B – mills: mill block exerciseWeek 3Lecture: Overview of
will you be able to apply what you learned in 1.50 1.94 3.22 1.71 your work? 10. How useful is the information to you? 2.38 2.18 3.33 1.86 Program Impact Mean Score 2.06 2.22 3.22 2.19 D. Some Comments: 11. The best part of the course was: a. Learning about this subject was interesting. I wish I had more time to better understand and absorb the concepts. b. New knowledge. c. Book serves as good reference material. Instructor tried very hard to present, teach, and engage the class. New material covered. d. Instructor has extremely good understanding of material covered. e. A lot of information
. Page 12.247.11 The third phase originally involved implementing the camera, but the project plan wasmodified and instead time was spent to implement the RFID reader. The project’s focus wasoriginally on the “big picture,” but after discovering many implementation challenges thecompletion of the RFID reader section became team’s primary focus (see Appendix B). The final phase of system development involved the design of an enclosure for thecomplete RFID reader and the testing of the entire system in varying environmental situations.Each phase led the team to a testable product and each had “use cases” that defined how the userinteracts with the system. Using the experience gained from each phase, the team learned how togauge the
Accrediting Engineering Programs,Accreditation Board for Engineering and Technology, Inc., (2002).5- Southwest Economy, “SpotLight: Texas Manufacturing Factories Still Matter in Much of State”, Federal ReserveBank of Dallas, Issue 2, (March/April 2006), http://www.dallasfed.org/research/swe/2006/swe0602d.html.6- Asiabanpour, B., Sriraman, V., “Teaching Integrated Product and Process Design”, World Transactions onEngineering and Technology Education, Volume 4, Number 2, Pages 181-185 (2005).7- Soloman, B. A. and Felder, R. M., “Index of Learning Styles Questionnaire”, North Carolina State University,http://www.engr.ncsu.edu/learningstyles/ilsweb.html8- Felder, R. M. and Soloman, B. A., “Learning Styles and Strategies”, North Carolina State University
12.970.5 Invention Disclosure, NCAT 2006 Figure 5: Micro capsules and tissue scaffolds using inkjet based microfabrication process [6]4. Laboratory component within micro and nano technology modulesThe instructor organized laboratory tours to the Center for Advanced Materials and SmartStructures (CAMSS) at NCA&TSU. This type of a hands-on-experience enabled students toappreciate the use of state-of-the-art equipment (ultra high speed photography, precision microposition stage, customized inkjet system) which are involved in the development of micro andnano fabrication processes. (a) (b) (c) Figure 6. Infrastructure exposure to students (a
technique in determining plastic injection molding process parameters for a thin-shelled part. Materials & Design Online 3 March 2006.26. Shen, Y. K., Liu, J. J., Chang, C. T., and Chiu, C. Y. 2002. Comparison of the results for semisolid and plastic injection molding process. International Communications in Heat and Mass Transfer 29(1):97-105.27. Ozcelik, B. and Erzurumlu T. 2006. Comparison of the warpage optimization in the plastic injection molding using ANOVA, neural network model and genetic algorithm. Journal of Materials Processing Technology 171(3):437-445.28. Kurtaran, H., Ozcelik, B., and Erzurumlu, T. 2005. Warpage optimization of a bus ceiling lamp base using neural network model and genetic
. (a) (b)Figure 1: Two examples of the artistic visualizations of the products redesigned and Page 12.503.6manufactured by the students: (a) ice scraper, (b) tri-head, toothpaste-dispensingtoothbrush.The entire product development process ended for engineering students with a detaileddesign report and an oral presentation for the entire student body (show and tell session)at the end of the term. The intense work schedule kept students quite engaged with thisproject throughout the term and they found multidisciplinary experience to be interestingand enriching. The following section demonstrates several
Industrial Technology Curriculum Sheets Case StudyIn order to verify the concept of the information model and the course structure layout presentedin this paper, a case study was taken from an existing school. The three programs are offered in asingle department; Manufacturing Engineering, Manufacturing Engineering Technology, andIndustrial Technology. Figures 4, 5 and 6 show the program curriculum sheet for three programs.The detailed statistical break down for each program is listed in table 1. Figs. 7 a, b, c show thepie chart representation of table 1. Table 1 the Distribution of the Credit hours among the three Programs Courses Engineering Engineering
study. First, if visual data was used for quality (in terms ofparts per million defective), then the number of defective parts would significantly decrease.Secondly, if visual data was used for productivity (parts produced per person per hour), then theproductivity would significantly increase. Both of these hypotheses were tested using paired t- Page 12.1591.5tests at the 95% confidence level. (a) (b) (c)Figure 4. Pictures showing manufacturing floor without visual data (a) and with visual data (b), and examples of
AC 2007-971: A THOROUGH HANDS-ON PROCESS TO IMPLEMENT A RFIDSYSTEMBen Zoghi, Texas A&M University Dr. Ben Zoghi is currently a Professor and Director of RFID/Sensor Lab in the Engineering Technology and Industrial Distribution Department at Texas A&M University. He has served the department as Industrial Distribution Program Coordinator, Executive Director of Thomas and Joan Read Center and Associate Department Head for Research since he joined Texas A&M in 1987. His research activities include RFID/Sensors and engineering leadership development. Dr. Zoghi is a senior member fo IEEE, meber of ASEE, TAP, TBP. He has over 100 educational and research publications.Ryan Beasely, TAMU
AC 2007-2211: A COST-EFFECTIVE AUTOMATION AND ROBOTICS LABJohn Anderson, Oregon Institute of Technology Page 12.25.1© American Society for Engineering Education, 2007 A Cost Effective Automation & Robotics LabAbstractMuch work has been published in the area of design of laboratory exercises and facilities tosupport teaching robotics and automation. New opportunities are becoming available, however,to allow laboratory facilities that are portable, have applications to a wide range of subjects, andare inexpensive.A large software manufacturer has recently entered the robotics software arena with a uniqueapproach. They are supporting small hobby class robots
AC 2007-2921: INTRODUCING BIOTECHNOLOGY MANUFACTURINGTHROUGH ELECTIVESWing Chan, Alabama A&M University Dr. Wing Chan is currently an assistant professor at the School of Engineering Technology at Alabama A&M University. Prior to joining Alabama A&M University in the fall of 2004, he was a robotic engineer at Research Genetics, Inc. Dr. Chan received his Ph. D. from the University of Alabama in Huntsville in 1995 in Electrical and Computer Engineering.Peter Romine, Alabama A&M University Dr. Peter L. Romine is currently the Chairman of the Department of Technology at Alabama A&M University. He received his B.S. in Electrical Engineering from the University of Alabama
AC 2007-2699: HANDS-ON SOLID MODELING EXPERIENCES IN A COURSEPROJECTJahangir Ansari, Virginia State University JAHANGIR ANSARI is an Assistant Professor of Manufacturing Engineering in the Department of Engineering and Technology at Virginia State University. He received his M.S. degree in Mechanical Engineering in 1979 and Ph. D. degree in Mechanical Design and Production Engineering in 1983 both from Seoul National University. He joined the faculty at VSU in 2002. He has over 18 years of industrial experience in different areas including shipbuilding and cement plant industries. His research interests include Structural Vibration, FEM, CAD/CAM/CNC, and Computer Integrated
AC 2007-743: USE OF THE MACHINERY’S HANDBOOK IN AMANUFACTURING DESIGN COURSESean Falkowski, University of Dayton SEAN A. FALKOWSKI is an assistant professor at the University of Dayton. He holds a Masters degree in Engineering Management and a Bachelors of Science in Mechanical Engineering. His interests include automotive research, materials engineering, and tooling design. Page 12.1530.1© American Society for Engineering Education, 2007 Use of the Machinery’s Handbook in a Manufacturing Design CourseThere are many ways in which to teach a manufacturing design course. The focus that thisuniversity took was to
AC 2007-1210: DEVELOPMENT OF A INDUSTRY-DRIVEN ASSOCIATEDEGREE IN PRECISION MANUFACTURING TECHNOLOGYRobert Walters, Pennsylvania State UniversityPrasad Marugabandhu, MAGLEV, Inc.Bryan Bond, MAGLEV, Inc. Page 12.508.1© American Society for Engineering Education, 2007 DEVELOPMENT OF AN INDUSTRY-DRIVEN ASSOCIATE DEGREE IN PRECISION MANUFACTURING TECHNOLOGYAbstractThis paper describes the development of a unique educational program that addresses an industryneed for workers trained in precision manufacturing techniques. Penn State University, CommunityCollege of Allegheny County, and MAGLEV, Inc. have partnered to develop a unique associatedegree in Precision Manufacturing
AC 2007-92: DESIGN PANEL: A TOOL FOR ASSESSMENT IN DESIGN COURSESDave Kim, Washington State University-Vancouver Dr. Dave (Dae-Wook) Kim is an Assistant Professor of School of Engineering and Computer Science at Washington State University Vancouver. He received his Ph.D. from the University of Washington, Seattle, and his M.S. and B.S. at Sungkyunkwan University, Korea. His teaching and research interests include manufacturing processes, composite materials, and mechanical behavior of engineered materials.Hakan Gurocak, Washington State University-Vancouver Hakan Gurocak is Director of School of Engineering and Computer Science and Associate Professor of Mechanical Engineering at Washington
AC 2007-1539: CONCEPTUAL DESIGN ENVIRONMENT FOR AUTOMATEDASSEMBLY LINE – FRAMEWORKSheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (“Tony”) Hsieh is an Associate Professor in the College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the Department 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-of-the-art facility for education and research in
AC 2007-437: EVALUATION OF THE COMPARATIVE PERFORMANCE OFCRYOGENICALLY TREATED CUTTING INSERTS AS A CAPSTONE DESIGNPROJECTClaribel Bonilla, University of San Diego Claribel Bonilla, PhD, is an Assistant Professor of Industrial & Systems Engineering at the University of San Diego. She has a proven track record in industry for implementing lean manufacturing strategies to achieve improved product quality, reduced costs and increased productivity. Her research interests are in the areas of manufacturing systems and processes, lean-Six Sigma, and Supply Chain Management. She is an ASQ Certified Six Sigma Black Belt.Ronald O'Meara, University of Northern Iowa Dr. Ronald O’Meara is
AC 2007-2724: DEVELOPING HIGHER ORDER PROBLEM SOLVING SKILLSTHROUGH PROBLEM-BASED LEARNING (PBL) IN A MANUFACTURINGPROCESS ENGINEERING COURSEDanny Bee, University of Wisconsin-Stout DANNY J. BEE is an Assistant Professor of Manufacturing Engineering since 1995 and the former Program Director for Manufacturing Engineering at the University of Wisconsin-Stout. He earned a B.S. in Mechanical Engineering at the University of Wisconsin-Madison and a M.S. in Manufacturing Systems Engineering at the University of Wisconsin-Madison. He has design/manufacturing experience in the aerospace and computer industries. In addition, he worked as a Quality Specialist in the Janesville/Beloit, WI region at Blackhawk
silicone-rubber mold (Figure 1). A series of fiber reinforced plastic parts was made from that mold(Figure 2). Each part was created using different combinations of carbon fiber, resin and methodsof resin injection. The end result attained is the level of quality desired (Figure 3). The studentsuse RP machines as a tool to front-load the design and engineering process, leaving more timefor manufacturing considerations. Offline quality control allows changes to be made withoutcapital loss in retooling. Page 12.1186.3 Fig ure 1 – RP b a se fo r rub b e r mo ld Fig ure 2 - La ying up c a rb o n fib e r o ve r
calledChannel A and Channel B. Channel B output is shifted by 90 degrees from channel A whichenables direction of rotation information to be obtained. The ability to detect direction is criticalif encoder rotation stops near a pulse edge. The quadrature scheme can effectively “multiply” thenumber of counts or pulses during each revolution of the shaft. In the times-one mode, counts aregenerated only on the rising edges of Channel A. In the times-two mode, both the rising andfalling edges of Channel A generate counts increasing the resolution by a factor of two. In thetimes-four mode, the rising and falling edges of Channel A and Channel B generate countsincreasing resolution by a factor of four.An encoder is a device that converts linear or rotary
the values for the value) from the following list: following parameters: A. Single point load A. Young’s modulus • Center load B. Yield strength • End load C. Density B. Uniform load D. Melting point E. Cost per unit weightLoad Conditions and Shape Parameters
Sciences Journal of Innovative Education, 2(1), 71-76.[2] Blust, R. P., Bates, J. B., 2004. Activity based learning - Wagons R us - A lean manufacturing simulation, Proceedings of 2004 ASEE Annual Conference and Exposition: Engineering Education Researchs New Heights, Jun 20-23, Salt Lake City, UT, 195-206[3] Chaneski, W. S., 2001. Demonstrating the power of lean manufacturing, Modern Machine Shop, 74 (7).[4] Holweg, M., Bicheno, J., 2002. Supply chain simulation: a tool for education, enhancement and endeavour, Int. J. Production Economics, 78, 163-175[5] Johnson, S. A., Gerstenfeld, A. Zeng, A. Z., Ramos, B., Mishra, S., 2003. Teaching lean process design using a discovery approach, Proceedings of 2003 ASEE Annual Conference and
theengineering field, is a key factor in the advancement of this discipline. CIM laboratory stronglysupports manufacturing engineering curriculum to fulfill some of the ABET requirements forcriteria: (b) an ability to design and conduct experiments, as well as to analyze and interpret data,(c) an ability to design a system, component, or process to meet desired needs, (k) an ability touse the techniques, skills, and modern engineering tools necessary for engineering practice.Some key components of CIM and hierarchy of operation in a manufacturing facility are studiedand correlated. They include CAD-CAM link, numerical control, automation, production andmanufacturing control, control through proper communication and computer supervisory control,robotics
of expensive measuringinstruments and a lengthy setup. Figure 3. Coordinate system for machine vision (a, b) and SCARA robot (x, y). The scale factors consider the robot Cartesian coordinates at every intersection of the gridlines. Therefore, any point detected within the image plane will be scaled with respect to theincrement in the grid from the origin. The area of a moving object is defined in the form of 40, 41: Ad (mm 2 ) ? e ©{ © Â Â I (a, b) , (5) a bwhere e ? the calibrated pixel size (mm) along vision X axis, { ? the calibrated pixel size (mm)along vision Y axis, and Ê1 if
our wishlist, and (b) begin in-house fabrication of a micro-milling machine of our own design with a 400,000 rpm spindle capability. … modest machining envelope. Our estimation is that a very wide range of highly relevant applications can be addressed within a 150 millimeter square planform area. Practical z- dimensions for micromachining are likely to be quite small. Fifty millimeters may be adequate. … modest machine feeds. At a spindle speed of 100,000 rpm, machine feeds are fairly small, as the chip loads that can be supported by cutting tools on the order of tens-to-a few hundreds of microns in diameter are quite small. For example, machining a soft stainless steel (e.g., AISI 316L) with a two
. Page 12.340.14 “Proceedings of the 2007 American Society for Engineering Education Annual Conference & Exposition Copyright ø 2007, American Society for Engineering Education”[4] Don Tapping and Tom Shuker, Value Stream Management for the Lean Office, Productivity Press, 2002.[5] Krista M. Schulte, Mohan R. Paruchuri and Jayesh B. Patel, “Applying Lean Principles in a Test Laboratory Environment, “ SAE 2005-01-1051, 2005 SAE World Congress, Detroit, Michigan.[6] Smon Wood, “How LIMS Facilitates Lean ManufacturingProcesses in the Laboratory,” Retrieved Feb 25, 2007 from http://www.starlims.com/AL-Wood- Reprint.pdf, American Laboratory September 2006.Biographical SketchFRANK LIOU: Frank Liou is a Professor
. Few sites includedinformation on enrollment or the award of degrees in ‘manufacturing’. It is quite clear that thereis far from universal understanding as to the meaning of this designation in terms of content orextent. The next stage of the current study was the compilation and distribution of a comprehensivesurvey form. It was an attempt to collect information in some depth in five substantivecategories: [a] program identification; [b] program context and content; [c] research andindustry focus; [d] resources; [e] enrollment and degree production. This survey wasadministered through an SME web-based automated survey instrument. Announcements weresent via email to the 104 contacts who had responded to the earlier SME inquiry into