. Page 13.935.10Table 4. Green and sustainable engineering resources for educators. Books Authors Year Title Allen, D. T., Shonnard, D.R. 2001 Green Engineering: Environmentally Conscious Design of Chemical Processes American Society of Civil Engineers 2004 Sustainable Engineering Practice: An Introduction Brissaud, D., Tichkiewitch, S., 2006 Innovation in Life Cycle Engineering and Sustainable Zwolinski, P. Development Camarinha-Matos, L. M. 1997 Re-engineering for Sustainable Industrial Production Doble, M., Kumar, A. 2007 Green Chemistry and
on team building for thesemester-long team projects. Overall student experience and lessons learned inorganizing such a project are also discussed.1. IntroductionDeveloping effective teamwork skills among undergraduate students is part of theAccreditation Board for Engineering and Technology (ABET)’s engineering criterion2006- 2007 [1]. Besides the ABET requirements, many employers emphasize the need ofgood teamwork skills for the engineering graduates [2]. In addition, it is well known thatcooperative learning enhance students’ learning performances. Under the cooperativelearning or teamwork environment, students work together to maximize not only theirown, but other students ability to learn [3,4]. Most engineering programs incorporate
of Chemical Engineering and Executive Director of the Center for Pre-College Programs at New Jersey Institute of Technology. He has spent the past thirty years designing and implementing professional development programs and curricula for K-12 teachers in science and technology. At the college level, he collaborates on projects exploring teaching methodologies and assessment strategies in first-year college courses in the sciences, engineering, and computer science.Linda Hirsch, New Jersey Institute of Technology LINDA S. HIRSCH is the Program Evaluator in the Center for Pre-College programs. She has a doctoral degree in educational psychology with a specialty in psychometrics and a Masters
by Virtool in our system at evenly spaced timeinstances. Our task here is to find the length of the cylinder, rij , joining i and j for a givenmotion trajectory, in terms of the global coordinate system, x-y-z. Specifically, the goalhere is to find the new position of the platform at ti, for the given changes in thetranslational and angular displacements of the water craft, defined from t i −1 to t i by ∆sand ∆θ as, ∆x ∆θ x ∆s = ∆y and ∆θ = ∆θ y (1) ∆z ∆θ z
new program. F ig u re 3 .0: R e te n tio n ra te v s n u m b er o f s e m e s te rs 1 0 0 ,0 % 1 0 0 ,0 % 9 5 ,0 % 9 2 ,2 % 9 0 ,0 % R e te n tio o n ra te 8 5 ,0 % 8 3 ,9 % 8 0 ,0 % 7 5 ,0 % 7 0 ,0 % 6 5 ,0 % 6 0 ,0 % 1 2 3
camaraderie). 1Lastly, the race car outing generated immense publicity and Mechanical Engineering Technology studentsin particular have become engaged in the program. Both MET students and their faculty have sincejoined the Mechanical Engineering race teams and participate strongly. The Mechanical Engineeringclass prerequisites for “Motorsports Instrumentation” will be modified to accept the best of the METseniors for the upcoming fall semester class.What is in the motorsports program for the student‟s future?To get a feel for the immensity of the engineering need in this industry, consider that Nascar racingsupports 154 Sprint cup, Nationwide series, and Craftsman truck teams, in addition to a
camaraderie). 1Lastly, the race car outing generated immense publicity and Mechanical Engineering Technology studentsin particular have become engaged in the program. Both MET students and their faculty have sincejoined the Mechanical Engineering race teams and participate strongly. The Mechanical Engineeringclass prerequisites for “Motorsports Instrumentation” will be modified to accept the best of the METseniors for the upcoming fall semester class.What is in the motorsports program for the student‟s future?To get a feel for the immensity of the engineering need in this industry, consider that Nascar racingsupports 154 Sprint cup, Nationwide series, and Craftsman truck teams, in addition to a
promoting diversity in graduate engineering education, Proc. 2006 ASEE AnnualConference, Chicago, IL, June 2006.4. Eugene M. DeLoatch, Sherra Kerns, Lueny Morell, Carla Purdy, Paige Smith, Samuel L. Truesdale, and BarbaraWaugh, Articulating a multifaceted approach for promoting diversity in graduate engineering education, Proc. 2007ASEE Annual Conference, Honolulu, HI, June 2007.5. Phillip C. Wankat, Analysis of the first ten years of the, Journal of Engineering Education 88 (1), 1999, pp. 37-42.6. R.G. Batson, T.W. Merritt, and C.F. Williams, Barriers to increased engineering graduate enrollments:counterforces and their implementation, Journal of Engineering Education 82 (3), 1993, pp. 157-162.7. S. Baker, P. Tancred, and S. Whitesides, Gender and
flounder. It is also necessary to identify a faculty champion to leadthese efforts.Table 5: Example of a Team of Champions at KEEN I Program School*Dimensional Level Profile Department/School ImpactAdministrative President, Executive Offices, Becomes one of four Provost, Board of Trustee(s) with core strategic pillars Trustees entrepreneurial of university, funding industry experience to seed and support effortsLead Champion Endowed/Chaire
Figure 6 – Air-X power output graph [13] The national oceanic and atmospheric administration (NOAA) collects andmonitors the wind speed every six minutes throughout the year in Money Point [2]. Inorder to properly analyze the wind speed, we determined the portion of the month windspeeds were above 3.2 meters per second (the lower speeds do not contribute any output)and the average of those speeds (see Table 2), we determined an average speed of 4.5m/soccurring 35% of the time (10.5 days/month). From Figure 1, an Air-X 400 Watt windturbine would generate 20 watts of instantaneous power with a 4.5 m/s wind, providingan average daily energy output of 168 watt-hr. YearMonth 2006
. Table 1. Evaluation of design, construction, testing, and assessment activities Met Consideration for Management Assessment Cost Material Timely Overall Design manufacturing of of Control Selection Execution ScoreObjectives concerns experiments prototypes E E E S E G E GLegend: E-Excellent G-Good S-Satisfactory NI-Needs improvement U
) codes demonstrate high performance capabilities, arbitrarily close to the Shannon limit,and are becoming feasible with today’s processing technology [10]. LDPC codes are founded onbasic linear-algebra principles. In this paper math is performed in the binary subspace of real-numbers, and hence addition and multiplication are performed in base 2, e.g. addition becomesthe XOR operation, and multiplication becomes the AND operation. LDPC codes utilize a sparsebinary parity-check matrix, H, with dimensions M×N. Matrix H can be either regular, meaningthat there are a specific number of 1’s per row and column, or irregular, in which there may ormay not be a constraint on the number of 1’s. In this project we will deal only with an irregularparity
, MA, 2003.[5] National Science Foundation, “Program for Gender Equity in Science, Technology, Engineering and Mathematics: A Brief Retrospective, 1993-2001,” NSF 02-107, www.nsf.gov, 2002.[6] I. F. Goodman, C. M. Cunningham and C. Lachapelle, “The Women’s Experiences in College Engineering (WECE) Project,” Report published by the Goodman Research Group, www.grginc.com, April 2002.[7] E. Seymour and N.M. Hewitt, Talking About Leaving: Why Undergraduates Leave the Sciences, Westview Press, 1997.[8] M. J. Johnson and S. D. Sheppard, “Relationships Between Engineering Student and Faculty Demographics and Stakeholders Working to Affect Change,” ASEE Journal of Engineering Education, pp. 139-150, April 2004.[9] J. Teague, “Women in
empirical formula for volumetric materialremoval rate in electric discharge machining22, I MRR = K 1.23 Tmwhere MRR is metal removal rate in mm3/s; K is constant of proportionality equal to 664; I isdischarge current in A, and Tm is melting point of work metal in ºC. While the published formulaapplies to a material removal process only, due to the nature of the process it can be extrapolatedthat the same process variables (I, and Tm) apply for carbon nanotube manufacturing. Theempirical material removal rate formula is to be augmented as the results dictate. Based on thecurrent prices of carbon, and the cost of electrical energy as found from students’ electrical bills,an economical analysis is to be
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, his M.S. in 1979, and his Ph.D. in 1982, all in engineering from UCLA. Page 13.340.1© American Society for Engineering Education, 2008 Creating a Solar Oven Industry in Tanzania: A Capstone Design Experience AbstractTanzania is one of the poorest countries in the world. The primary method of cooking isopen, wood-burning fires. This approach has lead to major environmental, health, andsocietal problems, examples of which include deforestation and respiratory illnesses. Ata latitude of 7°S, Tanzania receives a consistently high level of solar energy. It seemsapparent that the use of solar energy
AC 2008-122: EDUCATIONAL USES OF AIRPLANE ACCIDENT REPORTSGeorge Bibel, University of North Dakota Dr.Bibel is a professor in Mechanical Engineering at the University of North Dakota in Grand Forks. He received his B.S. in Mechanical Engineering in 1975 from Case Western Reserve University and his M. S. in Engineering Mechanics from the University of Michigan-Ann Arbor and a Ph.D. in Mechanical Engineering from Case Western Reserve University. Dr. Bibel, a former NASA Summer Faculty member and NASA researcher, joined the UND faculty in 1993 where he developed new courses on engineering disasters
distance vector routing for ad-hoc networks. A sequencenumber is used to tag each route. A route with higher sequence number is more favorable than a routewith lower sequence number. However, if two routes have the same sequence number, the route withfewer hops is more favorable. In case of route failure, its hop number is set to infinity and its sequencenumber is increased to an odd number where even numbers are reserved only to connected paths.1.2 Dynamic Source Routing (DSR)DSR is an on-demand protocol. It is composed of route discovery and route maintenance. In routediscovery, a node tries to discover a route to destination if it has to send data to this destination and thereis currently no known route(s). A node broadcasts a route request
2007 ASEE Summer School, Pullman, WA. 2. E. Seymor and N. Hewitt, Talking about Leaving: Why Undergraduates Leave the Sciences, Westview Press, Boulder, CO, 1997. 3. K. Solen and J. Harb, “An Introductory ChE Course for First-Year Students”, Chem Eng. Ed., 32 (1), 52 (1998). 4. D. Visco and P. Arce, “A Freshman Course in Chemical Engineering: Merging First-Year Experiences with Discipline-Specific Needs” Proceedings of the American Society for Engineering Education, 2006. 5. S. G. Sauer, “Freshman Design in Chemical Engineering at Rose-Hulman Institute of Technology” Chem. Eng. Ed., 38 (3), 222 (2004) 6. C. Coronella, “Project-Based Learning in a First-year Chemical Engineering Course: Evaporative Cooling”, Proceedings of the
%for the pre-engineering students. Page 13.5.9Table V: Retention of engineering students who started Fall 2002 and were enrolled inENGR 101.Engineer ing Level Number of Student in Number of those Student Retention Rate Engineer ing 101 still in engineer ing (After thr ee year s) (Fall 2002) (Fall 2005)Pr e-engineer ing (star tingmath level is less than 25 1 4
Reading Assignment Laboratory/ Recitation/Miscellaneous Module I Energy Issues and Concepts S: Serway 6th Ed. H: Hinrichs 4th Ed. 1 July 9 Course introduction; Energy H/ 1/29, 87/92 Meet in the Heat Transfer issues and concepts Lab 2 July 10 Conservation of energy; S/ 580-595; 605-607 Temperature; Ideal gas model H/ 33/57 3 July 11 Heat transfer by conduction, S/ 623/631 Lab 1 (UCR
’s (Lorenz 1963; Baker and Gollub 1996; Flake 2001). The dictionary meaning of the word “chaos” is complete disorder or confusion. Chaosin science and engineering refers to an apparent lack of order in a system thatnevertheless obeys certain laws and rules. This understanding of chaos is the same as thatof dynamical instability. Deterministic system can produce results which are chaotic andappear to be random. But these are not technically random because the events can bemodeled by a nonlinear procedure/formula. The pseudo-random number generator in acomputer is an example of such a system. A system which is stable, linear or non-chaoticunder certain conditions may degenerate into randomness or unpredictability (may bepartial) under other
rb C t s O A x Fig. 1 The involute curve of a circle of radius rbBecause the string is inextensible, the length of the circular arch AB subintended by angle t isequal to length BC of the string: BC ? rb © t (1)Moreover, the center of curvature around point C of the involute is located right at the tangentpoint B between the string and the base circle, and
signal)5_ Power output amplification6_ Antenna and impedance matchingI am attaching the ck207.pdf file with the technical information about your transmitter.You need to research and study how the transistor(s) or diode(s) used perform the particular function of each stage.Perform a system functional analysis, and a mathematical input/ output gain analysis at each state, and then write aformal report and a prepare power point presentation.(Remember that for the report and Power point presentation you will need to describe how the transmitter work as awhole, and how the transistor(s) or diode(s) combined with other circuit elements perform the functions of eachstage.Study and research assignment for members of the Receiver groupThe following are
beginning node of activity, and j represents as the ending node of activity. Onecan calculate the total float of an activity (LSi-ESi), we can determine the critical path(s). As anillustrative example, Figure 1 showed the network of an example facility project with tenactivities. Table 1 showed the normal time vs. crash time scenarios of all activities of theproject network, and their time and costs to complete the activities. Figure 1: Illustrative example of a building construction project networkFollowing the critical path method describes above, one can apply Excel to calculate the totalfloat of each activity, thus draw the critical paths of the normal and crash scenarios. Find ES,EF, LS, LF, FF, and TF for the arrow diagram in
components) to be executed at different update rates, cycles can befreed up for executing the subsystem(s) that need to be updated faster.The real time multi-distributed modelling can involve different real time operating systems.Real time operating systems (RTOS) are those operating systems that guarantee that thesystem will respond in a predetermined amount of time. Real time operating system (e.g.QNX, Linux) reduces considerably the simulation time requirement.This paper describes a real time simulator for motor drives, and outlines its software andhardware subsystems. Examples and implementation of different motor control algorithmsusing this simulator are also discussed.System DescriptionThe software and hardware tools used in the development
Engineering Education AnnualConference & Exposition, (2004 ).2. "Office of Post Secondary Education."3. L. McAfee, and A. Kim, "Successful Pre-College Summer Programs," American Society for EngineeringEducation, (2007).4. D. Oppliger, S. Oppliger, M. Raber, and R. Warrington, "Engineering Enterprise Alliance A K-12,University and Industry Initiative to Create a Pathway to Engineering and Science Careers," American Society forEngineering Education, (2007).5. B. Matanin, T. Waller, J. Kampe, C. Brozina, and B. Watford, "A STEP in the Right Direction: StudentTransition to Engineering Program," American Society for Engineering Education, , (2007).6. C. Vallas, L. Richards, and A. Miodek, "SUMMER INTRODUCTION TO
of mathemaatics, educatiion, andengineeriing faculty. The T goal is to t develop engineering and a science explorations e s and curricuulumfor impleementation innto participaant schools. During D thesee preparationns, connectioons betweennnational and a state con ntent standarrds and the mathematics m s and sciencee showcasedd in theworkshopps are identiified and disccussed. Figuure 2 describbes both topiics presentedd during theSummer Teacher Wo orkshops andd an
assembles the simulator which serves as a hands-on experience unit formultidiscipline students enrolled in the HEV technology courses. The virtual HEV simulator notonly enhances the HEV training and education, but also increases students’ interest in the greenmovement of transportation.AcknowledgmentThis work was supported in part by the National Science Foundation under grant number DUE-0501546.References1. Hirose, K., Abe, S., Killmann, G. “Overview of current and future hybrid technology,” Society of Automotive Engineers (SAE) paper 2002-33-0016, 2002.2. Ronning, J. and Grant, G. “Global hybrid electric vehicle markets and missions,” SAE paper 1999-01-2946, 1999.3. http://www.macomb.edu/academics/CareerTechEd/HEV/default.asp4
instructions had to be doable andunambiguous. As the students quickly learned, even when the solution to a problem is wellunderstood, it is sometimes difficult to express the solution in elementary steps.The class then built on the idea of the kind of steps needed in an algorithm by writinginstructions for an imaginary S robot. The S robot was defined to be able to pick up one playingcard from a deck and hold it in its hand. It could make some determination about the card such asits suit or value and it could either put the card back on the top of the deck or discard it to thefloor. The students were again placed in groups, given some playing cards, and assignedproblems to solve of the nature: count the number of cards in the deck. New instructions