(4) dρcv Page 10.790.6 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education a. Asymptotic solutions b. Analytic solution 1250 1250 Eqn. 6 T (K) T (K) 1000
how far the sensor is from a wall as shown in Figure 1 b). Systeminputs are combined using a set of inferred rules which determine the desired system response.The system output is also a fuzzy linguistic variable which must be converted (defuzzified) to acrisp system output.Structured Design Techniques: The overall goal of structured design is to provide tools totransform system requirements into a plan to implement the system. A thorough discussion ofstructured design would include topics of “divide-and-conquer” techniques, structure charts,UML activity diagrams, implementation and testing techniques, and thorough systemdocumentation procedures [10]. Novice system designers often want to brush these topics asideand plunge into hardware and
Possible Points Program Number(s) Points Earned Outcome 1 Electropneumatic System Design 29 Pneumatic system design 1-1 Appropriate component selection/combination for desired functionality: a □ Compatibility of actuator and DCV 3 A1, A2 b □ Appropriate DCV energizing features (solenoids, spring returns) 2 A2 c □ Appropriate pneumatic flow design (tubing connections, DCV design ) 2 A1, A2
most engineers according tothe findings of the survey.The main challenges, as we have identified them, to the construction and solution ofmathematical models in spreadsheets by using advanced numerical techniques are the following: 1. The need to convert most variable names to cell addresses in the model equations. 2. The necessity to provide separate documentation to the model equations. 3. The lack of tools for easily solving differential equations.Recently we have enhanced the Polymath (copyrighted by M. Shacham, M. B. Cutlip and M.Elly, http://www.polymath-software.com) software package so that it is able to automaticallyexport a problem to an Excel (trademark of Microsoft Corporation, http://www.microsoft.com)spreadsheet
tests. Thus, the “most intelligent” students did best in physics. This data is shown in table 1. Page 10.1258.4 “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education” Grade in PHY201 Average SAT Average ACT Overall GPA A, or A- 1095.0 25.0 3.23 B+, B, or B- 1084.7 22.8 3.00 C+, C, or C- 1072.6 23.1 2.77 D
. 6. No glitches during power up or power down: This allows for a smooth startup and shutdown sequence.Operation of the SN754410NEFigure 2 below is a simplified block diagram of the chip exhibiting its motor control setup [10]. Figure 2. Motor Control Setup • Setting the M1 input A High with M1 output, A goes to one side of left motor, and setting the M1 input B Low then the M1 output B is at ground. This will cause the left motor to spin in one direction. • Setting the M1 input A Low causes the M1 output A to ground. With the M1 input B High, the left motor will spin in the opposite direction. • If both the input pins are set the same, then both output pins
reservoir for clean water is set in this slot. The clean water is used for the syringe wash cycle in which the remaining reagent in the syringe unit is washed out. • Reagent station: A reservoir for reagent is set in this slot. • 96-well plate stations: There are two slots A (on the left) and B (on the right). When only one 96-well plate is needed, Slot A is used. When two 96-plates are needed, both slots are used. • Human-Machine Interface (HMI): Program selection and manual operations of the device are made through this HMI device.The system also contains a PLC, stepper motor driver, solenoid valves, sensors, switches andother miscellaneous devices to provide all necessary hardware functions. The
mainobjective is to obtain a biological signal (heart sounds via a Cardio Microphone) and applyanalog and digital filters to the signal. Using basic signal analysis techniques, a comparison oftwo filtering methods is done to determine the optimal filtering of the signal. (b) Microscopy and Imaging Analysis- Students learn the basic principles of optics andmicroscopy as an imaging tool through examination of a blood smear slide. A digital image oftheir slide is obtained and image processing is performed using the Matlab Image ProcessingToolbox software. The objective is to obtain an optimal image so that automatic counting of thenumber of red blood cells can be done. The cell counts performed both manually using themicroscope and automated
: "You, as a medical student,are presented with a patient with a heart murmur that can be heard throughout diastole. Listen tothe audio file that accompanies this module to hear the murmur through a stethoscope. Pressuremeasurements made in the heart are shown below. Which valve and what condition are mostlikely to be causing this heart sound? Why?" Students investigate how the circulatory systemworks, how fluid dynamics principles apply to pressures and flow in the circulatory system, andhow pressure patterns and heart sounds in the major valvular disorders are altered. Acomparison of a Physics class using this curriculum (experimental) to an AP Physics B class whowas taught the same principles through traditional teaching methods (control) was
this construct was the most useful means of handling the data fromthe three cohort groups. This can be demonstrated graphically and is shown in Figure 2. Page 10.710.4 “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education” KNOWLEDGE Ability “Just the facts, ma’am” Skill A Skill B Skill C Something done SKILLS “Just do it
the form h( z , t ) = b0 {φh1 ( z ) qh1 (t ) + φh 2 ( z ) qh 2 (t ) + φh 3 ( z ) qh 3 (t )} (1)where φh1 ( z ), φh 2 ( z ) , and φh 3 ( z ) are modes of deformation. A comparison of flutterspeed obtained by using different number of modes (n=1,2…) of deformation will givesome indication of the degree of accuracy achieved. In this paper, two-degree of freedom(bending, pitch) are selected because they provides a system, which is not only easilyevaluated in physical terms but also from the computational point of view. Finally, thetwo-degree of freedom equations of motion can be derived using the Lagrange’s principleyielding to, ⎡ M hh b0 M hα b0 ⎤ ⎧ q&&h ⎫ ⎢M b
lim ∂s Q r =− (9) r → 0 ∂r 2πTwhere Q is the volumetric pumping rate. There is a boundedness condition on s as r → ∞ . Thesolution is given by a Boltzman transformation to be r2 exp − x − Q ∞ 4B 2 x s(r, t ) = ∫ 4πT u x dx (10) r 2S Tb ′where u = and B = . The complicated nature of (10) dictates that computer assistance 4Tt
“Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering Education”course. Such a course typically requires an introductory computer network course as background.Courses are offered at the undergraduate senior or introductory graduate level. We collectedinformation on 27 courses (17 unique titles) in this category from 20 universities. Commoncourse titles include “Wireless communications”, “Wireless networking”, “Mobile computingand wireless networking”, and “Mobile networking.” See a list of schools in Appendix A and alist of course titles in Appendix B. The contents of these courses have two different flavors, onefrom the EE point
FRICTION PERFORMANCE OF COATINGS D. M. Pai, B. Kailasshankar, M. S. Konchady, X. Wang J. Mason, J. Sankar, and S. N. Yarmolenko Center for Advanced Materials and Smart Structures NC A&T University Greensboro, NC 27411IntroductionCoatings are thin layers of materials that are deposited onto a bulk material to achieveproperties not easily attainable with substrate alone. They have attracted considerableresearch interest because of their numerous technical applications. Coatings are usedwidely in optical, microelectronic, packaging and decorative applications as they impartgood mechanical, chemical
function to proceed with theanalysis.Inspection of part (b) of Figures 1 and 2 shows that the laptop recipients in ME 260 of Spring Page 10.732.42004 did better than about 85% of all possible groups of 20 students. However, the results for “Proceedings of the 2005 American Society for Engineering Education Annual Conference & ExpositionCopyright © 2005, American Society for Engineering Education”Fall 2004 indicate that the laptop group did no better than average, and perhaps a bit below.The laptop average falls in the middle of a bin so that exact placement is not clear.Nonetheless, it is clear that the laptops did not help this group.For
, depletion, spectrum) has been developed to fill this gap.The V:BUDS computational engine, originally developed to provide material balances for fuelcycle system studies, uses a few spatial region collision probability formulation to treat thespatial dependence of the flux. This is coupled with a multigroup treatment of energydependence incorporating a hyperfine (740 group) or traditional (110 group) mesh. V:BUDS isbundled with custom cross section libraries, evaluated from the ENDF-B/VI data using NJOY99 Page 10.192.1and covering the temperature range 300 – 1500 K. The libraries include fuel matrix, cladding,Proceedings of the 2005 American Society
Education (2001). Science and Technology/EngineeringFramework. Retrieved Jan 4, 2005, http://www.doe.mass.edu/frameworks/scitech/2001/2 Papert, S. (1980) Mindstorms: Children, Computers and Powerful Ideas, New York, NY: Basic Books.3 Bers, M, Ponte, I, Juelich, K, Viera, A, Schenker, J. (2002) Teachers as Designers: Integrating Robotics in Early Childhood Education. Information Technology in Childhood Education. AACE 123-1454 Bers, M, New, B. & Boudreau, L. (2004) Teaching and learning when no one is expert: Children and parents explore technology. Journal of Early Childhood Research and Practice.5 Scarlett, W.G., Naudeau, S., Salonius-Pasternak, D. and Ponte, I. (2004). Children’s Play. Thousand Oaks, CA: Sage Publications.6
rate for each wall can be calculated and compared to the measured rate ofheat transfer. The measured rate of heat transfer into the coolers used was about 2±0.4 W whichcorresponds to a UA of 0.1±0.04 K/W. The predicted rate of heat transfer was about 2.9±0.7 Wthis corresponds to a UA of 0.15±0.04 K/W.Extended Surface Heat TransferThis laboratory is an experimental and analytical investigation of heat transfer through uniformcross-sectional area fins. The students conduct an experiment in which they estimate theconvection coefficient from single uniform rectangular fin using the measured temperatureprofile along the length of the fin, and for an array of fins using the measured base temperature.Figure 4(a) and 4(b) show the single fin and the
-1 R o b o t C o n t r o lle r W e b B ro w s e r W in s o c k a n d R o b o t ic G U I ` IN T E R N E T W in s o c k ` R o b o t C o n t r o lle r R S 2 3 2 /T C P - IP C
materials on the plot, especially at the extremes. What can you say, in general, about the relative maximum service temperatures of metals, ceramics, and plastics? How does this relate to interatomic bonding? B. Make a bar chart of the tensile strengths of all of the thermoplastics in the CES4 database. Label all of the materials for which the mer structures are shown in Table 4.3 of your textbook, and turn in the chart with your writeup. Based on your knowledge of how chemistry and structure of polymers influence strength, make the following direct comparisons and provide a reasonable explanation for why one is stronger than the other. If there is a lot of overlap, then discuss the various structural factors that could be playing a role. a) PTFE
instructional methods.For this reason, many of the laboratory experiences proceed in the following manner.The laboratory experience can generally be segmented in four broad parts: (1)Introduction, (2) Hands-on Activity, (3) Discussion, and (4) Journaling.1. Introduction: In some cases if the laboratories are lengthy, partner teachers will present the introduction segment the day before the GTF comes. a.) Guided Inquiry: Students are typically asked questions about topics that are familiar to them and related to the laboratory experience. The GTF and partner teacher work to incorporate the students’ answers in the laboratory experience. b.) Initial
Teaching X-ray Imaging in the High School Physics Classroom: Safe, Hands-On and Inexpensive Instruction Christopher D. Garay1, Aubrey A. Hunt1, Stephen M. Schleicher2, Sean P. Brophy1, Stacy S. Klein1, 3, 4, Cynthia B. Paschal1, 4, 5 1 Department of Biomedical Engineering, Vanderbilt University, Nashville, TN / 2Department of Biomedical Engineering, Washington University, St. Louis, MO / 3University School, Nashville, TN / 4Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN / 5Vanderbilt University Institute of Imaging Science, Nashville, TN A new hands-on curriculum developed at
between the A, B and the C, D, F students, withthe better performing students taking more time to complete this portion of the exam.Within these timed exams, there was no significant difference in quantity typed betweenthe sexes, 752 words for males in comparison to 742 words (35 minute exam withinstructions to answer 4 of the 6 questions.) Evaluating short answer essay questionsagainst “multiple choice” scores within three timed exams indicated that 71.5%, 90.6%,and 77.2% of the students did better in the essay component in comparison to themultiple choice component for the 3 exams. For the “multiple choice” portion of theexam, surprisingly with 38 questions only14% male and 16% of the female students used>20 minutes in answering the
were developed based on currentresearch on each of these objectives and their relationship to models of high performing teams.A few of the major aspects of each of the learning objectives are presented below:1. Multidisciplinary Teamwork a. Team includes students from multiple disciplines. b. Team members are considered specialists in their areas of expertise. c. Team has a common goal and members work together to achieve that objective.2. Communication a. Teams communicate effectively both through writing and verbally. b. Team members are able to structure their communications in a way that makes it easy for others to understand them. c. Team members contribute to discussions so that all opinions are
. G 60 mm(b) Compare the friction force F found in (a) to Fmax and 100 mm comment with respect to the rolling without slipping assumption.Problem 23A slender 12 ft. bar weighing 322 lbs. in the vertical plane is released from rest 1ft. 6 5/8 in. above afirmly fixed peg A in the position shown. The bar has a small hook attached at one end and arranged sothat it will remain hooked to peg A as it rotates. The rotating bar impacts another peg B 8 ft. directlybelow peg A. The coefficient of restitution between peg B and the bar is 0.4. What is the bar's angularspeed just after impact with peg B? (Hint: Energy is lost when the hook hits peg
Peanut Butter Cracker Sandwich Manufacturing Module Amy J. Moll, William B. Knowlton, Michelle B. Sabick, Patricia A. Pyke, and John F. Gardner College of Engineering Boise State UniversityAbstractFor many engineers, their first position after obtaining a B.S. degree is in manufacturing. Jobtitles like process engineer, product engineer, and quality engineer are common and are directlyinvolved in manufacturing. Most engineering curricula do not cover manufacturing concepts. Astudent may not even have an opportunity through electives to study manufacturing since smallerengineering colleges rarely have
4 1 2 3 1 2 3 1 1 Student Learning Outcomes a b
the vehicle. As shown in Fig. 1(b), the grid isgraded from fine to coarse as moving away from the welds which are marked as red colorelements. The typical element length in the welds is 5 to 7 mm and it is 20 to 25 mm in the areasaway from the welds. Boundary conditions are applied to the FEA model according to thespecification and experimental procedure. To simulate the locating and fixturing scheme duringwelding, the boundary conditions shown in Fig. 2 are imposed on the FEA model during thewelding steps. After the welding steps, the boundary conditions representing the fixturing areremoved to simulate the fixture release after welding. At the same time, a new set of boundaryconditions is applied to the model, which is the same as the
+ + + + + + - - (a) (b) Figure 3: Basic robot architectureIn Figure 3 (a), we see all positive connections, which will cause the vehicle to speed up a wheelas it nears an obstacle. This seems like a good idea until the students realize what will occurwhen the vehicle has an obstacle on each side. This quickly results in a switch to the vehicletopology shown in Figure 3 (b), which works well.Step 5) Perform signal conditioning / analog computationAt this point, students need to generate the signals required for analog control. Using thetopology shown in Figure 3(b), there are a variety of ways to build the system. The importantobservation is that the inhibitory signal from the
. Quantum Electro., 28, pp. 908–920, (1992); A. M. Weiner,"Femtosecond Pulse Processing," Optical and Quantum Electronics, Special Issue on Ultrafast Optoelectronics, 32, 473-487 (2000).2. J.X. Tull, M.A. Dugan, and W.S. Warren, “High-resolution, ultrafast laser pulse shaping and its application,” Adv. Mag. Opt. Reson., 20, pp. 1-65 (1996); M.A. Dugan, J.X. Tull, and W.S. Warren, “High-resolution, acousto-optic shaping of unamplified and amplified femtosecond laser pulses,” J. Opt. Soc. Am., B, 14, pp. 1-11, (1997); M. E. Fermann, V. da Silva, D. A. Smith, Y. Silberberg, and A. M. Weiner, "Shaping of Ultrashort Optical Pulses by Using an Integrated Acousto-Optic Tunable Filter," Opt. Lett. 18, 1505-1507 (1993).3