D u ty cy cle co m m a n d M o to r T a rg e t sp ee d D u ty c y cle a s a sp e ed PW M M o to r fu n c tio n o f co n tr o l D y n a m ics ta rg et sp eed M o to r lo a d a n d V b a tt Figure 3
∫ h(v, k , c) ⋅ 8760 ⋅ v3 ⋅ dv (8) 0The best way to assimilate the aforementioned is to consider some example problems.Wind Energy ExamplesExample 1Find Vmode, Vmean, Vrmc , the power density available distribution, and the power extracted per m2for a wind turbine at a site which possesses a Weibull wind distribution with c = 15 m/s and k =1.5. The density is 1.225 kg/m3.Solution:A graphical representation of the Weibull distribution for k = 1.5 and c = 15 m/sec is presented inFigure 2. The mode, the most probable wind speed, occurs at 7.21 m/sec. The mean wind speedand the root-mean-cube speed are defined in Eqs. (2) and (4), respectively. The arithmetic forthis example is
. What strength is required for the part to perform adequately? What is the part’s strength (based on hardness readings)?Deliverable 4: Describe the composition of the part. This should be a concise summary of any material characterization work done in the laboratory. Photos of the failed part and pictures of comparable microstructures should be included.Summary: Based on what was learned from each of the deliverables, explain the reason(s) for failure and how it could be prevented in the future, or explain why failure should not be prevented.Several aspects of the projects have remained constant throughout:• Students work in teams of 2 or 3, all from the same lab section• The project is divided into a final summary and four intermediate
for instructorsseeking one of the four desired outcomes to incorporate the appropriate activities in theircourses. Future publications, based on on-going work, will provide a comprehensive list ofexample activities to each of the four identified goals based on a survey of current courseofferings in US undergraduate engineering programs.References1. Agogino, A., Sheppard, S. and Oladipupo, A. “Making Connections to Engineering During the First Two Years”, Proceedings of Frontiers in Education Conference, 11-14, November, pp. 563-569, 1992.2. Burton, J. and White, D., “Selecting a Model for Freshman Engineering Design.” Journal of Engineering Education, pp. 327-332, July 1999.3. Barr, R., Schmidt, P., Krueger, T., and Twu, C-Y., “An
faced many challenges,not only with the rapid growth of the program, but with the large number of updates andtechnological advances in that time period. C G T C la s s O ffe rin g 70 60 50 C las s es O ffe re d 40 30 C la s s e s o ffered 20 10 Page 11.848.2 0 00 -01 01 -0 2 0
. Page 12.1381.12References[1] King, P. M. and K. S. Kitchener, Developing Reflective Judgment, Jossey-Bass, San Francisco, 1994.[2] Lynch, C. L. , S. K. Wolcott, and G. E. Huber, “Steps for Better Thinking: A Developmental Problem Solving Process,” http://www.WolcottLynch.com, 2002.[3] Sims, R., and Sims, S., The Importance of Learning Styles, Understanding the Implications for Learning, Course Design, and Education, Greenwood Press, 1995.[4] Rosati, Peter, “Specific Differences and Similarities in the Learning Preferences of Engineering Students,” Proceedings of the Frontiers in Education Conference, San Juan, Puerto Rico, November 1999.[5] Astin, A., What Matters in College? Four Critical Years Revisted
Mailman and board chair Beth Kennedy for supporting thestudy. A special thank you to PedGames server administrator Hao Xu and to all of the PedGamesstudent programmers for their creativity, dedication and hard work.Bibliography1. Shaw, S., Boehm, Z., Penwala, H., and Kim, J., GameMath! Embedding Secondary Mathematics into a Game- Making Curriculum Proceedings of the American Society of Engineering Education, 2012.2. van der Meulen, R. and Rivera, J. (2013) Gartner press release. Online at http://www.gartner.com/newsroom/id/2614915.3. Moskal, B. and Skokan, C. (2007). An innovative approach for attracting students to computing: A comprehensive proposal. Online at http://www.nsf.gov/awardsearch
identity, and physics career choice: A gender study. Journal of Research in Science Teaching;2010, 47, 978–1003.[15] Cribbs, J., Hazari, Z., Sadler, P. M., & Sonnert, G. Development of an explanatory framework for mathematicsidentity. In Proceedings of Psychology of Mathematics Education – North American (PME-NA) ChapterConference; 2012.[16] Potvin, G., Beattie, C., & Paige, C. Building a valid and reliable assessment of physics identity . In NationalAssociation for Research in Science Teaching Annual Conference; 2012.[17] Lent, R. W., Brown., S. D., & Hackett, G. Toward a unifying social cognitive theory of career and academicinterest, choice, and performance. Journal of Vocational Behavior; 1994, 45, 79 – 122.[18] Lent, R. W., Brown
). Informal and incidental learning in the workplace In M. C. Smith & N. DeFrates-Densch (Eds.), Handbook of Research on Adult Learning and Development. New York: Routledge.[2] Cross, J. (2007) Informal Learning: Rediscovering the National Pathways That Inspire Innovation and Performance. San Francisco: John Wiley & Sons.[3] Dreyfus, S. (2004). The Five-Stage Model of Adult Skills Acquisition. Bulletin of Science Technology & Society, 24(3), 177-179. DIO:10.1177/0270467604264992[4] Dreyfus, S. E. & Dreyfus, H. L. (1980). A five-stage model of mental activities involved in directed skills acquisition, paper to Air Force Office of Scientific Research. pg. 3
. The National Academies Press: Washington, D.C., 2011.5. Eshach, H., Science literacy in primary schools and pre-schools. Springer Dordrecht, the Netherlands,2006.6. Kolodner, J. L., Facilitating the learning of design practices: Lessons learned from an inquiry into scienceeducation. Journal of Industrial Teacher Education 2002, 39, (3), 32.7. Apedoe, X. S.; Reynolds, B.; Ellefson, M. R.; Schunn, C. D., Bringing engineering design into high schoolscience classrooms: the heating/cooling unit. Journal of Science Education and Technology 2008, 17, (5), 454-465.8. Mehalik, M. M.; Doppelt, Y.; Schunn, C. D., Middle-school science through design-based learning versusscripted inquiry: Better overall science concept
Jobs in Energy Career Guide," 2011.7. Oregon and SW Washington Energy Consortium, "Gaps in the Oregon & SW Washington Energy Workforce Pipeline," 2011.8. S. Brahma, J. De La Ree, Vice-Chairman, J. Gers, A. A. Girgis, S. Horowitz, R. Hunt, M. Kezunovic, V. Madani, P. McLaren, A. G. Phadke, M. S. Sachdev, T. S. Sidhu, J. S. Thorp, S. S. Venkata,Chairman, T. Wiedman, “The Education and Training of Future Protection Engineers: Challenges, Opportunities, and Solutions,” IEEE Transactions on Power Delivery, pp. 538-544, Vol. 24(2), 20099. L.D. Feisel, "Learning objectives for engineering education laboratories," 32nd Annual Frontiers in Education Conference, Vol. 2, 200210. L.D. Feisel, A.J. Rosa. "The Role of the
together: Lessons from comprehensive school reform research (pp. 109-150). Washington, DC: George Washington University Press.4 Crawford, S., & Ostrom, E. (1995). A grammar of institutions. The American Political Science Review, 89(3), 582-600.5 Weaver-Hightower, M.B. (2008). An ecology metaphor for educational policy analysis: A call to complexity. Educational Researcher, 37(3), 153-167.6 Heaslip, G., Sharif, A. M., & Althonayan, A. (2012). Employing a systems-based perspective to the identification of inter-relationships within Humanitarian Logistics. International Journal of Production Economics.7 Institute of Industrial Engineers. Web. Mar. 22, 2013. http://www.iienet2.org/Details.aspx?id=2828 Hazelrigg, G. A
yieldexternalized performance. Other measures of personality, multiple intelligences, or learning stylesprovide information about the learner and then leave the learner informed but unequipped to usethe information. The LCI not only provides the learner with the means to articulate who s/he is asa learner, but then provides the strategies (metawareness) for the learner to use these learningtactics with intention [19].The LCI survey is composed of 28 Likert scale items—descriptive statements followed by a five-point set of responses—and three questions requesting written responses. The 28 questions arescored according to the patterns they illustrate, and from these scores the LCI profile isgenerated. The three written responses are used to validate the
has12-bitresolution, 200 kS/s sampling rate and 16 analog input channels and is easily used with theLabView™ software. Measurements from the load cells taken through the data acquisition cardare imported for use in various LabView™ virtual instruments (VI), which graphically displaydeflection, moment and shear corresponding to the physical visual beam setup.The front panel for the first VI consists of an ‘X-Y chart’ that displays the bending of the beamas shown in Figure 4. For the simply-supported beam, the user needs to input four values 1)position of the supports A and B 2) position of the weight, 3) scaling factor along the Y-axis, 4)number of points to be used in the display. Figure 4: Bending diagram of
/ugcat/2002/mit.htm or http://www.tntech.edu/mit/Syllabus_IT306_F00.htm7. http://www.tntech.edu/mit/industrial_technology_course_des.htm8. http://www.tntech.edu/mit9. http://webct.tntech.edu/10. http://www.idea.ksu.edu/resources/GSRs/GSR1500.pdf or http://iweb.tntech.edu/ideaevaluations/11. Pardue, S., and Darvennes, C., “Dynamic and Resonating Use of WebCT,” Proceedings of the 2002 American Society for Engineering Education Annual Conference, Session 1566.12. Navaee, S., “Use of WebCT in Delivering Instructions in Engineering,” Proceedings of the 2001 American Society for Engineering Education Annual Conference, Session 2793.13. Karunamoorthy, S., and Olliges, R. H., “Web Technology in Engineering Education –How and Why
, 361-367 (1995).4 Walden, S. E. & Foor, C. "What's to Keep You from Dropping Out?''Student Immigration into and within Engineering. Journal of Engineering Education 97, 191-205 (2008).5 Shivy, V. A. & Sullivan, T. N. Engineering Students' Perceptions of Engineering Specialties. Journal of Vocational Behavior 67, 87-101 (2005).6 Brown, D. in A Cognitive Information Processing Approach to Career Problem Solving and Decision Making (eds Gary W. Peterson, James P. Sampson, Janet G. Lenz, & Robert C. Reardon) (John Wiley & Sons, Inc., 2002).7 McLennan, N. A. & Arthur, N. Applying the Cognitive Information Processing Approach to Career Problem Solving and Decision Making to
, journals and funded projects. Engineering curricula are crowded, however, and leave little room for new courses. Beginning with the “writing across the curriculum” movement in the 1980’s, the literature reveals that many disciplines have mounted “across the curriculum” movements. These include writing, mathematics, critical thinking, citizenship, ethics and other fields. Given crowded engineering curricula, an “across the curriculum” approach is a logical means to address the need to add entrepreneurial thinking without adding additional courses. Measurement tools are a critical requirement to assess the efficacy or any curriculum intervention. This is especially true when dealing with a new and
enhanced interactive platform, allowing the learningof technical skills with simulation modeling and animation. The developed web-based virtualreality is able to carry out part of the practice through the virtual laboratory. This will advanceteaching speed and the quality of practical training in the machining shop. Students generallyprovided positive feedbacks on the web-based learning environments in attending the MEMScourse.AcknowledgmentThe authors gratefully acknowledge the support of this study by the National Science Council ofTaiwan, under the Grant No. NSC97-2511-S-003-046-MY3.References1. Caliano, G., Lamberti, N., Iula, A. and Pappalardo, M.(1995). A piezoelectric bimorph static pressure sensor. Sensors and Actuators A, 46-47, 176
electromagnetic problems, transient heat flow and solid state structural analysis using finite element routines, EMI and EMC characterization, S-parameter permittivity extraction routines, Synthetic Aperture Radar (SAR) design and data processing routines, and the use of Genetic Algorithms for antenna optimization. Dr. Baginski is a member of Eta Kappa Nu, Sigma Xi, the New York Academy of Sciences, and the IEEE Education and Electromagnetic Compatibility Societies. He is also a member of Who’s Who in Science and Engineering and Who’s Who Among America’s Teachers. Page 15.728.1© American Society for
Page 10.116.1outcomes assessment process is given in Figure 1. Our process primarily involves the“Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright© 2005, American Society for Engineering Education” -2-assessment of workplace competencies in co-op and internship experiences3, and across students’academic experiences via electronic portfolios4. These competencies were mapped to ourprogram’s outcomes through engagement with our stakeholders5. A summary of the process isgiven in the next two paragraphs.Outcomes and objectives are reviewed every three years, in consultation with our stakeholders.The instructor(s) of each agricultural
/IDP?2. What were the main sources of conflict Indentifies the sources of conflict perceivedyou experienced in your team? by the students as well as their frequency.3. Pick one or two conflict(s) that you Establishes a more detailed description ofexperienced from the list above and explain students’ perception of conflict as well ashow they affected your team its impact on their team performance.4. How did the team manage those Investigates the strategies that studentsconflicts? used to deal with team conflicts.5. Did you think that any of the conflicts Evaluates students’ understanding ofyou experienced were productive and help productive conflict.your team perform better
Session 1547 Undergraduate Research Program in the Basic and Applied Sciences at Middle Tennessee State University B. S. Sridhara Middle Tennessee State UniversityAbstract The college of Basic and Applied Sciences at Middle Tennessee State University(MTSU) has ten departments including Biology, Chemistry, Computer Science, EngineeringTechnology and Industrial Studies, Mathematics, and Physics and Astronomy. In the fall of1993, our college dean initiated the Basic and Applied Sciences undergraduate research programat MTSU. The author
Session 1793 INTEGRATING EFFECTIVE GENERAL CLASSROOM TECHNIQUES WITH DOMAIN-SPECIFIC CONCEPTUAL NEEDS Paul S. Steif, Anna Dollár Department of Mechanical Engineering Carnegie Mellon University, Pittsburgh, PA 15213 / Manufacturing and Mechanical Engineering Department Miami University, Oxford, OH 45056IntroductionInstructors are increasingly made aware of techniques that can be of benefit to their student’slearning. These include: having students play an active role in their own learning1-3, allowingstudents to
at the PetroleumInstitute.Once students reach the freshmen level there are core courses that have to be completedirrespective of their majors. The core course courses as well as some elective courses requiredfor the engineering programs are offered through the Arts and Science Program (A & S).The six departments within A & S include Mathematics, Physics, Chemistry, Humanitiesand Social Sciences, Communication, and General Studies (See Figure 1).. Students musttake these required courses in a sequence. Figure 1. The Petroleum Institute Academic Department StructureThe General Studies department offers a sequence of two engineering design coursescalled STEPS, which stands for Strategies
conceptual design for a Data Warehouse which would integrate the different data servers the company used. With i2 Technologies he led the work on i2’s Data Mining product ”Knowledge Discover Framework” and at CEERD (Thailand) he was the product manager of three energy software products (MEDEE-S/ENV, EFOM/ENV and DBA-VOID) which were/are used in Asian and European countries by both governmental and non-governmental organizations. Acharya has a M.Eng. in Computer Technology and a D.Eng. in Computer Science and Information Management with a concentration in knowledge discovery, both from the Asian Institute of Technology in Thailand. His teaching involvement and research interest are in the area of Software Engineering
laboratory-based solar and wind energy technology course. Anothercourse is an online general renewable energy course offered every summer session coveringmain renewable energy systems such as solar and wind energy, electric vehicles, hydrogen fuelcell systems, biomass, solar thermal energy, green building technology, etc.References[1] U.S. Department of Energy, Solar Instructor Training Network, South-Central Region.http://www.sitn-sc.org/about-us[2] IREC, Interstate Renewable Energy Council.http://www.irecusa.org/workforce-education/solar-instructor-training-network/[3] U.S. Department of Energy, SunShot Initiative.http://www1.eere.energy.gov/solar/sunshot/instructor_training_network.html[4] Pantchenko, O. S., Tate, D. S., OLeary, D., Isaacson, M
% Experience Prepared you 23.3% 23% 36.4 18% for graduate school Flexible 60% 20% 30% 10% requirement Pressure for 0 80% 10% 80% achievementsThe students and graduates agreed that the initial constraints were higher for industry projects,where internal clients were more willing to change them once they were set. In response to one Page 24.742.7of the survey questions that asked which type of project(s) (industry or internal) created the mostpressure to achieve the outcomes, more
. Set up the appropriate physical equations that must be used to solve for the unknown parameter(s). The equations stem from all of the physical laws available to the engineer/student: Laws of Thermodynamics (particularly the Conservation of Energy), Newton’s Laws (including laws of static equilibrium, conservation of linear and angular momentum), Maxwell’s Laws, etc. For this problem, the First law of thermodynamics is used together with the equations for convection and radiation heat transfer to and from the body and through the walls of the ice chamber. The heat transfer network is shown at the top of figure 1. 5. Present the answer in a graphical format such as shown in figure 2. This format helps the
elevation at 632 ft (189 m) and a maximumheight of 620 ft (185 m).The spillway dam, located in the middle of the river course, is 0.3 mile (483 m) long intotal, where there are 23 bottom outlets and 22 surface sluice gates. The dimensions ofthe bottom outlets are 23 x 30 ft (7 x 9 m), with the elevation of the inlets at 300 ft (90m). The net width of the surface sluice gates is 27 ft (8 m), with its sill elevation at 525 ft(158 m).On both sides of the spillway dam section, there are the intake-dam and non-overflowdam sections. With a maximum discharge capacity of 102,500 m3/s (at the pool level 600ft - 180.4m), the project is able to discharge the possible maximum flood (PMF).2. Power StationsTwo powerhouses are placed at the toe of the dam, one to
ofcontaminant purification (P), separation (S) and isolation (I), which we call PSI. These are theunderlying activities that will be used to tackle the contamination problem in its totality. This is aformidable task for a single chemical engineering department in a nation of 130 million people,where meeting the basic necessities of life is by itself a war for existence.However, a solution to these problems is certainly not possible without strong leadership fromthe country’s technical leaders. Toward this end, the outcomes of the linkage program included: • Faculty Development in Pollution Prevention • Curriculum Development in Pollution Prevention at both the Undergraduate and Graduate levels • Development of Collaborative