weeks a year, 2weekend days a week, 24 hours transformer being under load. The proposed configuration withone transformer in action is shown on Fig. 2. T1 T2 T1 T2 Line 1 Line 2 Line Line 2 Figure 1 Figure 2 Breaker closed Breaker openIncoming data for calculations:LoadP = 5000 kWQ = 3000 kVARS= P + Q = 5831kVAR 2 2LD(Load Factor) = 0.85S = S1 * LD, kVA = 5831 * 0.85 = 4956 kVATransformerS trans = (S * 100)/140 = (4956*100)/140 = 3540 kVAThe nearest standard transformer is rated 3750 kVAThe
Page 5.386.9p ( t ) , P, Q, and S change for −90° < θ < 90° . Compute p(t), P, Q, and S for θ = −90° , −60° ,−45° , −30° , 0, 30° , 45° , 60° , 90° and compare with values shown on the screen. Figure 13 - AC Power in an Impedance6. Discussion: Qualitative Understanding of Circuit BehaviorIn addition to quantitative analysis methods, it is desirable and important that students develop aqualitative understanding of circuit behavior and be able to predict it under various inputconditions. This is sometimes called having a feel or intuition for the problem. It helps to choosethe best approach amongst various possible solution methods. Circuit simulation modulesdiscussed in this paper are efficient tools for
listed in this table gives students design constraints, i.e., students haveto consider these factors in their simulation model to account for energy loss. As a result of this,the hot water tank temperature change can be simulated using the energy balance equation E& IN − E& OUT + Q& IN = E& ST dT m& c T P COLD − m& c T P Tank + Q& = ρ∀c IN P
vector which are plotted above along withthe theoretical response. Note, that the period of the data does not match the response until such time asthe ‘bounces’ cease and the system is truly oscillatory. The response curve is phase shifted artificially tothat portion of the curve from which the system parameters were taken. Page 2.71.6 p READPRN( DATA1 ) q READPRN( seconds) ω n . ζ. TIME π . i . Equationi e cos ω d. TIMEi
careers.To have their curricula remain relevant, change is needed by educational institutions. In one study, the ASEEProject: Changes In Engineering Education [5], included action items, especially Action Item 4, similar tothose discussed in this paper. Change in major concepts include: ■ an appreciation of different cultures and business practices q. the understanding that the practice of engineering is now global ■ the need for an increased focus on projects, and w a formal inclusion of internships as a part of the curriculum.Students are also aware of the changes, and a growing number are finding foreign opportunities for study. Forinstance, in a recent article in ASEE Prism [5], the numbers of students
very broad and highly important discipline involvingsophisticated mathematics, equally sophisticated computer science, and a significantamount of intuition. III. Q U A N T I Z E R SThe basic input-output characteristic of several scalar quantizers are shown in Figure 1,Figure 2, and Figure 3. In the figures, the amplitude of an input sample is shown on thehorizontal axis, and the amplitude of the corresponding output sample is shown on thevertical axis. The purpose of a scalar quantizer is to map contiguous regions of thehorizontal axis into each of several discrete values on the vertical axis. The horizontalaxis is usually considered to be the support set of a continuous random variable, takingvalues from
, “Extending Innovative Practices for Flipping Classrooms into Recitations: Using a Variety of Representational Modes for Instructions” Proceedings of 2015 American Society for Engineering Education Annual Conference & Exposition, Seattle, WA, June 14- 17, 2015.[4] C. M. de Vries, “Evaluating the Effectiveness of a Statics Recitation Course,” Proceedings of the 2021 American Society for Engineering Education Annual Conference & Exposition, July 26-29, 2021.[5] E. Mazur. 1997. Peer Instruction: A User’s Manual. Prentice Hall, Upper Saddly River, NJ.[6] B. Simon, M. Kohanfars, J. Lee, K. Tamayo and Q. Cutts, “Peer Instruction in Introductory Computing,” Proceeding of the 41st ACM technical symposium on Computer science
, “Technical Communication Instruction in Engineering Schools: A Survey of Top- Ranked U.S. and Canadian Programs,” J. Bus. Tech. Commun., vol. 18, no. 4, pp. 452–490, 2004.[5] J. Y. Yoritomo et al., “Examining engineering writing instruction at a large research university through the lens of writing studies,” Proc. 2018 ASEE Conf. Expo., pp. 1–22, 2018.[6] J. R. Gallagher et al., “A collaborative longitudinal design for supporting writing pedagogies of STEM faculty,” Tech. Commun. Q., vol. 29, no. 4, pp. 411–426, Oct. 2020, doi: 10.1080/10572252.2020.1713405.[7] J. Monroe, Ed., Local knowledges, local practices: Writing in the disciplines at Cornell. Pittsburgh, PA: University of Pittsburgh Press, 2006.[8] J. Monroe, “Writing and
faculty across campus. This is where weuncovered the true paradox embroiled in connecting with our community. For example, we set upa meeting with a senior-level C/P faculty-member with first-hand knowledge of the promotionprocess for C/P faculty at the university level. On the whole, our conversation was valuable inaffirming that we were at least asking the right questions. However, when we expressed our lackof clarity around the process for promotion, the first response was to send us back to ourdepartments for examples and written expectations. Our departments did not have examples andthe written expectations were vague so we continued the conversation as follows. Q: “Can you tell us something about what a successful promotion package
: Question manager m interface to be uused by the ccourse instruuctor. Page 22.1481.5 Figurre 3: Active question q inteerface to thee displayed dduring lecturre.4. Featu ure Selectio onAs noted d in §2, many y implementtations of stu udent responnse systems eexist today. H However, thheMobile Participation P System provvides severaal features thhat are currenntly not offered in otherdevices. It is these feeatures specifically that make m the MP PS superior tto other
/const_inst1.html.7. Kafai, Y, and Resnick, M. (1996). Constructionism in practice: designing, thinking, and learning in a digital world. Retrieved from http://books.google.com/books?id=XaJiLh92ZCUC&dq=Constructionism&printsec=frontcover&source=in&hl =en&ei=2KP5TLWoH8OAlAeK44S8Bw&sa=X&oi=book_result&ct=result&resnum=12&ved=0CHwQ6AEw Cw#v=onepage&q&f=false.8. de Grazia, J.L., Sullivan, J.F.,Carlson, L.E., and Carlson, D.W. (2001). A k-12 / university partnership: creating tomorrow‟s engineers. Journal of Engineering Education, Oct. 2001 . pp. 557-563. Retrieved from http://soa.asee.org/paper/jee/paper-view.cfm?pdf=426.pdf.9. Ayorinde, E.O., Gibson, R.F. (1995). A pre
, B. “Leaving the Ivory Tower: A Sociological Analysis of the Causes of Departure from Doctoral Study.”Doctoral dissertation, University of Maryland, 1996.3. Brown, S. V. (2000). The preparation of minorities for academic careers in science and engineering. In G.Campbell, R. Denes, & C. Morrison (Eds.), Access denied: Race, ethnicity, and the scientific enterprise (pp. 239–268). New York: Oxford University Press.4. Redmond, S. P. (1990). Mentoring and Cultural Diversity in Academic Settings. American Behavioral Scientist,34(2), 188-200.5. Hill, R. D., Castillo, L. G., Ngu, L. Q., & Pepion, K. (1999). Mentoring Ethnic Minority Students for Careers inAcademia: The WICHE Doctoral Scholars Program. The Counseling Psychologist, 27(6), 827
of bacteria, i.e., methanotrophs. The laboratory study is conducted as follows:in sterilized serum bottles, methanotrophic bacteria in the exponential growth phase areinoculated in a Milli-Q water-based medium containing nitrate, other key nutrients (P, K, Na,Mg, Ca, etc.), and selected trace metals. The primary substrates, methane and oxygen, are thenintroduced and each bottle is placed on a shaker-table for incubation. Gas samples areperiodically withdrawn from the headspace of each bottle and manually injected into a gaschromatograph to measure the concentrations of methane, oxygen, and carbon dioxide. Thisallows students to monitor the amount of substrates consumed and the amount of end productproduced at different time points. Students
: cause and effect, analogy, generalization,classification, authority, and motive. Other option elements of the model include Backing (B), if necessaryto support the Warrant; a Rebuttal (R), which recognizes the conditions under which a Claim will not betrue or justified; and a Qualifier (Q), which expresses the degree of certainty of the Claim.10 Therefore Data (D) Claim (C) Qualifier (Q) “probably”Engineer Adams surveyed building Adams should 1) send second
with which the physicsand phenomena of the process are identified and engineering science concepts placed into a modelstructure simply by declaration. Such declarations are made through use of our new software thatassembles the phenomena declared, builds the equations, and solves the equations numerically. Thesoftware is novel and unique; ModelLA is its name. With a functioning model, students can examineits characteristics and use such quantitative information to solve the engineering problem posed. Following such an encounter with the cause and effect among variables, students are muchbetter prepared than they were at the outset to write equations for the model. Through Q and A in aworkshop session, the instructor leads the students
coordinate conditions are at y =0 a prescribed heat flux and at y = b a specified temperature condition. The boundary conditionmodifier (B21) on the y-coordinate at y = 0 the prescribed heat flux is a function of time q(t) =ct and the boundary condition at y = a is a non-zero specified temperature. Once a problem iscategorized, one may then select the appropriate Green’s Function solution. There also exists asupplement to Beck’s book that categorizes the solutions in Carslaw and Jeager [3] with thesame system. A Green’s Function may be determined for these problems as well.This paper continues with a description of the Nusselt number correlation classification system.Then two tools to utilize the system are presented, a PC DOS program and a web
*ij 2 q 2u i 2u j 2 q2u i 2u j 2 + + + + ( jω − p 2 ) ( jω − p*2 ) ( jω − p 2 ) ( jω − p*2 ) a ij 3 a *ij 3 q3u i 3u j 3 q 3u i 3u j 3
% 11.5% 100% N 3 2 1 6 50% 33.3% 16.7% 100% O 1 5 5 11 9% 45.5% 45.5% 100% P 11 16 14 41 26.8% 39% 34.2% 100% Q 7 4 7 18 38.9% 22.2% 38.9
G = − B C exp (−Ei/RT) + (C0 − C) dt V dT n GρC p Ah ρC p = q A c exp (−Ei/RT) + (T0 − T) − (T − Tw) dt V V C = concentration of initiator T = temperature B = rate constant for initiator A = rate constant for main reaction G = feed rate V = reactor volume Ah = area x heat transfer coefficient q = heat of reaction n = 1 , Ei ≠ E 2 Problem 22 provides two boundary value problems, one an easy one using a Newtonianfluid and one a more difficult one using a non-Newtonian fluid. These problems are solved usinga shooting
2 = 3 = rl sin(83 - 19,) dk r2 sin(02 - 19,) h = do3 _ Q sin@4 - &> 3 de1 r3 sin(& - 03) (6)From Eqs. (5) and (6), we see that d& = had01 and dog = h3d&, or A& = hzA& a n dA03 = h3A&. When we do the iterative solution (e.g., Newton-Raphson method), wetypically use the values of the dependent variables from the previous position as the starting
have a rich and varied set of hands-on experiences in the laboratory component. Page 3.126.4Consequently, the Control workshops are more derivational or conceptual in nature, while theData Analysis workshops generally have a tactile experimental feature.Second, in the Data Analysis course, I followed a fairly rigid modus operandi: a 10-minute mini-lecture, a 10-minute example problem with Q&A, followed by a 45-minute workshop and a 10-minute windup. This was modeled after the efforts of Jones and Brickner at Purdue3. In theControl course, I am constrained to a 50-minute period, and I chose to vary the
differentstructures and functions?Q-7: What two repair processes are used by the body to heal a Scabbing, scarring,wound? RegenerationQ-8: What are three approaches used by tissue engineers to Scaffolding, cell, stem cell,fabricate (grow) a new tissue? Regeneration, imprinting Page 15.899.9_____________________________________________________________________________ Questions KeywordsQ-9: What cells are most commonly used when trying to grow Stem, cellsa new tissue?Q-10
Thursday Friday Orientation & Power Systems 08:00 Paperwork & Power Systems Overview 3 Lab Safety Online surveys Campus Tour Overview 2 Overview & Practice using 09:00 EXPECTATIONS DOE website – 10:00 gen pie chart Q&A about power Web – TCIP Java
evidencefrom an offering of the course instead of perceptions of faculty members about what they mightwant. This process also provided some insight into the alignment of skills engineering faculty Page 22.153.5felt were necessary to be successful in the course and those that are actually utilized in thecourse. From this analysis, a list of skills in mathematics and physics mechanics was constructed(see Figure 2).Figure 2. Portion of Q-matrix Used to Determine Skills in Homework and Exam Problems Homework Problems 3-1 3-5 3-6 3-47
. Page 15.1383.10 [16] Q. Rong, D. Ceglarek and J. Shi, “Dimensional fault diagnosis for compliant beam structure assemblies,” Manuf. Sci. Eng. J., vol. 122, pp. 773–780, 2000.[17] Q. Rong, D. Ceglarek and J. Shi, “Adjusted least squares approach for diagnosis of ill-conditioned compliant assemblies,” Manuf. Sci. Eng. J., vol. 123, pp. 453–461, 2001.[18] W. Cai, J. S.Hu, and X. J. Yuan, “Deformable sheet metal fixturing: principles, algorithms and simulations,” Transaction of ASME, Journal of Manuf. Sci. Eng., vol. 118, pp. 318–324, 1996.[19] Y. Ding, P. Kim, D. Ceglarek and J. Jin, ‘‘Optimal sensor distribution for variation diagnosis for multi- station assembly processes,’’ IEEE Trans. Rob. Autom., vol. 19, pp. 543–556, 2003
build out the network and to betterunderstand the social stratification caused by the introduction of the technology.References[1] United Nations Millennium Development Goals. http://www.un.org/millenniumgoals/.[2] A. R. Mickelson, Q. Lv, L. Shang, and S. R. Sterling. “A 2009 NapoNet video”. http://www.youtube.com/watch?v=X7t71DDNOnY.[3] GTR|Grupo de Telecomunicaciones Rurales: Rural Telecommunications Group. http://gtr.telecom.pucp.edu.pe/.[4] Pontificia Universidad Catolica del Peru: The Catholic University of Peru. http://www.pucp.edu.pe/content/index.php.[5] Publicaciones|GTR: Publications. http://gtr.telecom.pucp.edu.pe/publicaciones.[6] R. Patra, S. Nedevschi, S. Surana, A. Sheth, L. Subramanian, E. Brewer. WiLDNet: Design and
various tools and brazing ofthe copper tubing.“Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright Page 9.108.7©2004, American Society for Engineering Education”III. Sample Experimental ResultsThis section presents sample experimental results for the double pipe and crossflow heatexchangers.In both exchangers, heat is transferred from hot water in the tubes to cold water in the shell.All undergraduate heat transfer texts include sections covering heat exchanger theory. [10] Therate of heat transfer from one fluid to the other is given by the equation Q = U A F
-campus students. Modification of our existinglaboratories through the introduction of VI concept will help us better educate and train ourgraduates to serve the needs of the technological and engineering community.The CBVEL consists of IBM compatible computers with appropriate software and hardware(LabVIEW, HI-Q, Virtual Bench, PXI Systems, DAQ Cards, etc.) from National Instruments(NI), and is connected to the School of Engineering Technology and Sciences (SETS) networkand existing equipment 1, 2. Virtual Instrument (VI) modules for different courses and researchareas are currently developed. Examples of some of these VIs are Circuit Analysis, Electronics,Communications, Digital Signal Processing, Control and Power Systems, MathematicalModeling
⎛ 2πf∆t ⎞ H ( f ) = 2 cos⎜ ⎟ (1) ⎝ 2 ⎠where ∆t is the instantaneous time delay determined by the LFO. The attenuation of certainfrequencies forms notches in the frequency spectrum that make the flanger resemble a combfilter. The magnitude of the filter's frequency response for ∆t = 1 mS is shown in Figure 2. M a g n it u d e d o f F re q u e n c y R e s p o n s e w it h ∆ t = 1 m S 2 1 .8 1 .6 1 .4 1 .2 |H(f)| 1 0 .8
) Page 10.878.33 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education Constants p = 15 in q = 7.5 in q r = 26 in M =16.1 lbm