Undergraduate Engineering Education,” J. Engineering Ed., Vol. 94, No. 1, 2005, pp. 121-130.3. Kline, R., “World War II: A Watershed in Electrical Engineering Education,” IEEE Technology and Society Magazine, Summer 1994, pp. 17-23.4. Dutson, A. J., R. H. Todd, S. P. Magleby and C. D. Sorensen, "A Review of Literature on Teaching Engineering Design Through Project-Oriented Capstone Courses," Journal of Engineering Education, Vol. 86, No. 1, 1997, pp. 17-28.5. Howard, B. “Enough of this Science and Mathematics, Let’s Do Some Engineering,” Proc. of the Frontiers in Education Conference, 1999, Session 13d2, pp. 8-10.6. Nguyen, D. Q., “The Essential Skills and Attributes of an Engineer: A Comparative Study of Academics, Industry Personnel
Conference & Exposition Copyright 2004, American Society for Engineering EducationExample 2 The next example shows how Solver can be used to calculate volumetric flowrate fora given pressure drop and pipe diameter. The flowrate for water traveling through a horizontal300 m-long cast iron pipe with a diameter of 0.6 m and a pressure drop of 17.2 kPa is to befound. The energy equation (1) and equation (2) can be combined to give: Δp L V2 = f (4) γ D 2gwhere Δp is the upstream minus the downstream pressure, p1 – p2. The volumetric flowrate isrelated to the velocity via Q = VA where A is the
! Page 9.114.2 Proceedings of the 2004 American Society of Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Educationwhere Rm(x) is the remainder of the truncated Taylor series and f (n) represents the nth derivativeof the function f. In the limit as m › ¢, Rm(x) › 0. Rm(x) allows the error in approximating f(x)by a finite series to be bounded. Rm(x) is given by Q ( m -1) Rm ( x) x/a (2) (m - 1)!where ¿f (m+1)(x)¿< Q for ¿x-a¿< d. Taylor’s theorem can also be generalized for multivariablefunctions4.Taylor’s theorem has several practical
3.26 i Technology in the classroom 3.24 j Engaging in service & outreach activities 3.13 k Reviewing scientific publications 3.11 l Developing teaching portfolios 3.11 m Developing collaborations & managing teams 3.07 n Finding non-research related opportunities (industry, policy, etc.) 3.07 o Managing diversity in the classroom 3.02 p Starting a research lab/lab management 2.80 q Work-life
special cases.As a case in point, the Fundamentals of Engineering Supplied-Reference Handbook includes 6first law equations for closed systems and 11 for control-volume systems. This often leads toconfusion and detracts from the students’ appreciation for the fundamental nature of the principle.The authors have typically modeled problem solutions using only two first law equations: one forclosed systems and one for control volumes. The form of the first law used for control volumes isprovided below. dEcv /dt = Q˙ cv − W ˙ cv + Σm ˙ i (hi + Vi2 /2 + gzi ) − Σm ˙ e (he + Ve2 /2 + gze ) (1)The left term
. Zhao, Q., Biederman, S., Flemings, M., “The Effects of Coating on the Heat Transfer in Lost Foam Aluminum Process,” AFS Transactions, vol 114 (2006).15. Zhao, Q., Wang, H., Biederman, S., Jason, D., Parish, J.S., “Lost Foam Casting Coating Characterization: Heat and Mass Transfer,” AFS Transactions, vol 113 (2005).16. http://www.finitesolutions.com/ Page 24.355.13
developed.Equivalent ModelThe system can be modeled hydraulically as shown in Figure 1.3. This diagram represents thephysical system where qIN is an independent input. Equation (1.1) is a general equation thatdescribes this system. The term q TANK is described by equation (1.2) where CTANK is defined byequation (1.3). Equation (1.4) defines q OUT. qIN ? qTANK - qOUT , (1.1) d PT qTANK ? CTANK and (1.2) dt A C? (1.3) tg
Displacement f2 0.012 mm First natural frequency f1 195 HzMass (m): m 0.27 lbsSurface Quality (Q): Q 2Load Case (F): F1 = 50 lbs, F2 = 50 lbs, F3 = 100 lbsThe part has to conform to the interface requirements and geometrical boundary conditionsshown in this document. This requirement cannot be waived.(c) PrioritiesLow manufacturing cost is the first priority for this product. Next, the customer prefers a lowweight product, and thirdly, structural performance should be as high as possible. Thesepriorities are shown in the Ishii-matrix below: Table 2 Ishii’s matrix for design requirement Attribute
CommercializationCourse: Week 1: Course kick-off; introduction of two inventions (Chest Brace, NORI) Week 2: Secondary Market research - start Week 3: Review of three patents (2 Chest brace, 1 NORI); Week 4: Travel to Hershey Medical Center; visit neonatal intensive care unit Week 5: Review, analysis and discussions on Chest Brace license and NORI option agreements Week 6: PA Life Sciences Greenhouse presentation; role and investment in NORI; students select NORI or Chest Brace project to focus on Week 7: Senior representative – PA medical products company; presentation/Q&A Page
: I = 0.2S (2)where I is the initial abstraction (in inches). The surface runoff is finally determined from thefollowing expression: 2 2 Q= (P − I ) = (P − 0.2S) (3) (P + S − I ) (P + 0.8S)where Q is the direct surface runoff (in inches) and P is the measured precipitation (in inches).Historical precipitation records are available from numerous sources. In this study, they
heat transfer by conduction along the fin is given by Q( x ) ? (To / T¢ ) hPkAc exp(/mx) , (5)while total heat transfer from the fin is given by Q f ? hPkAc (To / T¢ ) . (6) Figur e 2: Schematic of the fin. Page 9.665.4 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering EducationIV. Results and DiscussionTemperature
, Page 8.737.6then the new implementation state Q′Impl should correspond to the state of the specification after Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Educationeither 0 or 1 steps, when starting from architectural state Q0Spec that corresponds to the initialimplementation state QImpl. Implementation Specification Command file for simulation processor processor according to the inductive in AbsHDL in AbsHDL corectness criterion in Figure 4 Term-level symbolic
8 s p p h G à r h yr Ã@ p à Ã@ Q h ÃX i yr yà r T q y i h ss D à h h r
Society for Engineering Educationvapor from the air. The latent heat removal associated with this moisture removal can becalculated from the following equation 9:q l = 0.68(cfm )(∆W ) (3.8) where q l = latent heat removal (Btu/hr) ∆W = moisture removal (gr/lb)Cooling coils often have low latent capacities, usually ranging from 20% to 30%. This high coilsensible heat ratio can create problems when the SHR of the load falls below 70 %, since the coilwill no longer have enough latent capacity to meet the latent load 5. These cooling coils cool theair to levels between 43 and 45 o F . Below that point, frost begins to form on parts of the coil,spreading slowly
interferometry, diffraction, polarization, acousto-optics, electro-optics, second harmonic generation, Q-switching, modelocking, thermal lensing,diode laser characteristics, laser principles, optical time domain reflectometry, coupling losses,wave division multiplexing and characteristics of fiber optic switches and couplers. As coursematerials were developed they were tested at a remote site, Suffolk County Community College.I. IntroductionRecently, institutions of higher learning are trying to be more accessible to students. For studentswho may have difficulty attending courses on campus, distance learning modalities, such as thosebased on using television, videotapes and the web, are actively being pursued. In this regard, allcolleges are competing
, 14:30:44 Jan 05, 2001, 17:30:44 -10 Time of Day Figure 4. The temperature differential for air moving through active loop solar collectors varies with construction and time of day. The raw data in Figure 4 can be used to estimate the thermal energy absorbed by eachcollector using basic specific heat equations. “Q = 1.1 x cfm x ∆T” is a simplified calculation forair at atmospheric conditions that is commonly used for HVAC work. Q is the energy transfer inBtu/hr, 1.1 is a conversion factor, cfm is the flow rate of atmospheric air, and ∆T is thetemperature differential displayed in Figure 4. At 2 PM on January 5, the
. A Q U T TotAshby, M.F., Materials Selection in Mechanical Design, 4 4 5 5 18 Oxford, Pergamon Press, 1992, pp. 123-127.Haberle, J.G., and Matthews, F.L., "The Influence of 5 5 5 2 17 Test Method on the Compressive Strength of Several Fiber-Reinforced Plastics", Journal of Advanced Materials, Vol. 25, No. 1, 1993, pp. 35-45.Stienstra, David, Personal interview, 21 March 1995. 3 2 3 1 9www.chaseelastomer.com, Chase Elastomer Corporation 4 3 1 2 9 on Hypalon Rubber ProductsA - AuthoritativeQ - QuantitativeU - UnbiasedT - ThoroughIV. AssessmentThe students were surveyed both before (Survey 1) and after the
Transactions on Mechatronics, September 1999.2. B. Baumann, G. Rizzoni, Q. Washington, “Intelligent Control of the Ohio State University Hybrid-Electric Vehicle”, pp. 123-128, Proceedings of 2nd IFAC Workshop Advances in Automotive Control, Feb. 26-Mar. 1, 1998, Pergamon Press, ISBN 0-08-043226 3.3. John R. Josephson, B. Chandrasekaran, Mark Carroll, Naresh Iyer, Bryon Wasacz, Giorgio Rizzoni, Qingyuan Li, and David A. Erb, “An Architecture for Exploring Large Design Spaces”, Proc. of National Conference of the American Association for Artificial Intelligence. 1998, Madison, Wisconsin.4. B. Baumann, G. Rizzoni, G. Washington, (30%) “Intelligent control of hybrid vehicles using neural networks and fuzzy logic”, SAE
response to thethree sensor readings.ABET Criteria 3 Outcomes We believe the LEGO projects provide us the capability to address several of ourdepartments locally defined ABET Criteria 3 Outcomes (l-q), which are: l) formal practices of project planning and management m) the ability to identify what information is missing and to formulate specific critical engineering problems when given complex process problems n) the ability to make rapid and intelligent engineering decisions with minimal data o) the ability to find trends in large quantities of process data and relate those trends back to fundamental chemical engineering process principles p) the ability to identify modifications to process
uncertainty propagation calculations show about the values of Q that you measured? Do these suggest that all of the uncertainty you observed in Q came from your uncertainty in V and ∆t?”• We revised experiments to trim some of the time students spent on routine calculations so that they would have more time to spend thinking about their results. In making these revisions, we applied Bloom’s Taxonomy3 to the new tasks as a Page 7.1003.6 rough way to estimate how much new work we would require of students. We then Proceedings of the 2002 American Society of Engineering Education Annual Conference & Exposition
1 G P=Q 19 IOA BEAN Figure 2. Schematic of the 8255A interface card.The interface card is constructed using the wire wrap technique. This allows for easytroubleshooting if so needed. Components are placed on the ISA prototype board in a logicalorder to allow for neat wiring and ease of troubleshooting. A 25 pin connector is used to makeexternal connections to the interface card. Figures 3 and 4 show the top and bottom views of thefinished 82C55A interface card. Figure 3. Top View of the finished 8255A Interface Card
orifice meters and occupy more space. Thefollowing equations are used to calculate both orifice and venturi performance. Figure 4 defines thevariables in equations (1) –(3) in terms of a venturi but they apply to the orifice as well. Figures 5through 7 shows plots of flow versus delta P, insertion loss versus flow rate and discharge coefficientversus Reynolds Number for the orifice and venturi. The results of these experiments indicate clearlythat the venturi will flow greater quantities of water for a given supply pressure with a lower ∆P andlower insertion loss. The discharge coefficients for the orifice and venturi agree well with publisheddata 1. CD = QACT/QIDEAL = Q/A2· [1 – (A2 /A1)2 ]1/2· [ γ / ( 2g∆P ]1/2 …………………….(1) RE
teaching and learning statics,” Proceedings of the ASEE AnnualConference, 2003.13 Dollár, A. and Steif, P. S., “Learning modules for the statics classroom,” Proceedings of the ASEE AnnualConference, 2003.14 Everett, L. J. and Villa, E. Q., “Assessment results of multi-intelligence methods used in dynamics,” Proceedingsof the ASEE Annual Conference, 2006.15 Everett, L. J. and Villa, E. Q., “Increasing success in dynamics course through multi-intelligence methods andpeer facilitation,” Proceedings of the ASEE Annual Conference, 2005.16 Bransford, J. D., Brown, A. L., and Cocking, R., editors. How People Learn: Brain, Mind, Experience, andSchool (Expanded Edition). National Academies Press, 2000.17 Kypuros, J. A. and Tarawneh, C
and user interface operations (e.g., modulation/demodulation,coding/decoding, interleaving/deinterleaving, etc …) without exceeding the product’s bill ofmaterials (BOM) target. This processor must therefore, be fast and powerful enough, but not toocapable, since this will eventually drive up the component’s cost.A straight forward comparison of traditional communication system design and aUSRP/LabVIEW-based design follows. The USRP performs the traditional analog signalconditioning functions required of almost any radio, the required signal conversion (ADC andDAC), and then performs the rate conversion necessary to provide in-phase and quadrature (I &Q) signal samples, both to and from, the processor. In a USRP/LabVIEW-based system
, Sydney: A story of intersecting agendas. International Journal of Sustainability inHigher Education, 5(3), 267-277.7. Vandenburg, W. H. 1999. On the measurement and integration of sustainability in engineering education. Journalof Engineering Education, 88(2), 231-235.8. Meadows, D. H. 2008. Thinking in Systems: A Primer. Edited by D. Wright. Chelsea Green Publishing: WhiteRiver Junction, Vermont9. Sterman, J. D. 2000. Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin/McGraw-Hill. Page 25.294.910. Mihelcic, J. R., J. C. Crittenden, M. J. Small, D. R. Shonnard, D. R. Hokanson, Q. Zhang, et al. 2003
array. The following factors are affected on the performance of a solar cell4: Sunlight and the angle that the sunrays hit the PV cell. Climate conditions such as clouds, fog, dust. The atmospheric layer's absorption and reflection. Temperature of the surroundings. Fig 2. Solar panel configurationsThe equivalent circuit of PV cells can be modeled as a current source in parallel with a diodeand series and shunt resistances4,5 as shown in Fig. 3. The output current I is obtained from: q ( V Rs I ) V Rs I I I l I 0 e nkT 1 (1) R SH
;-//-/( ,*+)*--")*+( "$%&.$'J);1#$') 9.3"K.+$"(03:) 9.3"K.+$"(03:) @M"06&'3$NG%%/) 2)!%3$(%/) 9.3.:'&'3$) /:'=(.)8)G(0:%3%&'$(1)E)>3./14+)W'%&'$(1) E!)533%7.4%3)8)!('.470$1)8)Q(0R'3)2)C(./)!%&&"30+.4%3#) E)!./+"/"#)8)"165&:)8"22#$*,&'"$(.)?*@-5&:)+0#%*-() Figure 4: The Summary-form Edifice of Undergraduate Manufacturing Engineering at North Dakota State University Firstly, over the past decade, the North Dakota manufacturing economy has been very strong,marked by increasing employment throughout most of the first decade of this century. TheFargo-Moorhead
Ftotal = k f 2We find empirically that k ranges between 6 and 9 for the College of Engineering and Science atLouisiana Tech university for each year starting in 2000. Figure 1. shows the f-index for 2007-08, here k =6. Page 25.165.3 f-index for 2007-08 14 12Number of Students 10 8 6 4 2 0 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
electrical power systems are treated. The two methods of three-phase power systemrepresentation – wye connection and delta connections are presented. The concept of powertriangle is introduced and the inter-relationship between real, reactive and apparent power asillustrated in equation 1 and figure 1 is discussed. 𝑆𝑆 = 𝑃𝑃 + 𝑗𝑗𝑗𝑗 (1)whereS = Apparent Power (VA)P = Real Power (W)Q = Reactive Power (VAr)θ = Phase angle between the line current and the line voltage Page 24.388.4