Collection

1997 Annual Conference

Authors

Charles U. Okonkwo

background in metalworking based manufacturing. I undertook the modeling to enhance the students’knowledge regarding the behavior of the reactor, at least in a qualitative manner. Themodel allows the simulation of the reactor via parameters such as cross-sectional area ofreactor, molar flow rates of reaction components, built-in heating, q inside the reactor,inlet temperature of reactants and reactor length. Due to unforeseen circumstances, thestudents completed building the reactor at the end of the semester and had no time to runthe experiment. I have simulated hydrogen production on the computer using matlab.This should prove to be a valuable tool in running the hydrogen production experiment.Reactions Within the Packed Bed Reactor/Theory Behind

Collection

1997 Annual Conference

Authors

John S. Cundiff; Foster A. Agblevor

2.361.2FORTRAN.A simplified carbon flow model for a plant leaf is shown in Figure 1. Some of the CO2 capturedby photosynthesis is used for respiration and some is converted to carbohydrate. Some of thiscarbohydrate is subsequently used for leaf cell growth, and some is translocated to the stem.Figure 1. Simplified carbon flow model for a plant leaf.The concept of mass flow into and out of a reservoir is shown in Figure 2. Here, wateraccumulates in the reservoir until the head (H) is large enough to cause flow, ( Q o Q i ). dH A k H Q i (1) dtStudents use numerical integration to solve this equation

Collection

1997 Annual Conference

Authors

David E. Clough

1 dt d i ρ Ap h = ρ qin − ρ q or = dt Ap b g qin − q [2] where ρ :fluid density Ap : cross-sectional area of standpipe h :fluid level in standpipe qin : volumetric flow rate into standpipe q :volumetric flow rate out of standpipe and in tube Another differential equation describes the balance of momentum or mechanical energy of the fluid in the tube. This is similar to Newton’s 2nd law, ma = ∑ F (mass × acceleration = sum of forces). The equation

Collection

1997 Annual Conference

Authors

Elmer A. Grubbs

Collection

1997 Annual Conference

Authors

Dana L. Wake; Craig J. Scott

coupledelectromagnetic and statistical equations. The most fundamental equations are listed intable 1. Even at the advanced undergraduate level, these mathematical expressions can bequite intimidating when first introduced. We have adopted two dimensional (2D) andthree dimensional (3D) commercial numerical semiconductor device simulators, MEDICI Page 2.490.1and DAVINCI, respectively, from Technology Modeling Associates Inc. (TMA) tohandle the arduous task of solving the necessary device equations. Equation Expression Poisson ρ ∇ 2V = − ε Drift- J n = qvn nE +q Dn ∇n

Collection

1997 Annual Conference

Authors

Sema E. Alptekin

, and program the AGV: Evaluation of sensor-light source pair, flow chart of theprogram, mechanical design of the AGV.• AML program: Development of the AML program that reads input values and branches todifferent subroutines to load the AGV at the selected station.• Q-basic program: Development of a user-friendly program to allow the user to define asequence of assembly stations that the AGV visits to be loaded by the robot. Example: 3-1-2• Documentation (Hard copy and home page development): Each member contributed to the finalreport. As subsystems were developed, the work was documented. The final report was preparedin the form of a paper that won the first place at the Institute of Industrial Engineering StudentConference that was held at

Collection

1997 Annual Conference

Authors

Peter A. Rosati

q All Female Engineers n=135 0 All Male Engineers n=6g2 Figure 1: Distribution of the responses of male and female engineering students on the Active/Reflective Index of the ILS. Page 2.212.2 1For most of the individual ILS items the student responses showed no significant differencesby gender and they selected the more Active choice. Both male and female studentsunderstood something better after they had “tried it out”, “talked about it” or shared ideasin” group problem-solving sessions”. However, the males were

Collection

1997 Annual Conference

Authors

Jens Jorgensen; Lueny Morell de Ramírez; José L. Zayas; John Lamancusa

MatrixQuestion 1: Was a new interdisciplinary, practice-based curriculum which emphasizes the interdependencyof manufacturing and design, in a business environment developed?Subquestions Data Collection Approach Respondents Schedule1a. Did the program allow students to practice their engineering science fundamentals in the solution ofreal problems? Questionnaire (Q) or Focus Group (FG) Samples S, F, I1b. Are professional communication and team skills emphasized? Q or FG Samples Interviews S, F, I1c. Are case studies, active learning techniques, and computer technologies extensively used in theclassroom? Q or FG Samples S, F1d. Did the program provide previously unavailable opportunities for hands on

Collection

1997 Annual Conference

Authors

Jens Jorgensen; Lueny Morell de Ramírez; José L. Zayas; John Lamancusa

Data Collection Respondents9 Schedule10 Approach 1a. Did the program allow students to practice their engineering science fundamentals in the solution of real problems? Questionnaire S, F, I (Q) or Focus Group (FG) Samples 1b. Are

Collection

1997 Annual Conference

Authors

Kenneth Belanus; John Hartin

. Page 2.127.3 Frequency Resolution: The FFT finds coefficients of the harmonic signal at anincremental frequency,∆f, which is determined by the data sampling rate divided by the numberof points acquired. This ∆f can be interpreted as the width of a frequency bin that is centered onfcent. The smaller the width of the bin, the higher the resolution of frequency. It is important tonote that changing the sample size or sampling rate will change the resolution, and that changingsampling rate alone modifies both the Nyquist cut-off frequency and the center frequency. F R E Q U E N C Y R E S O L U TIO N (H Z) 10.00 1.0 0

Collection

1997 Annual Conference

Authors

Mustafa Guvench

capacitance in quasistatic equilibrium in inversion toavoid undershooting into deep depletion. 3. Models for MOS Capacitance CharacteristicsFor an MOS structure built on a uniformly doped semiconductor the Poisson equation [5] can besolved exactly to get the electric field, Es and the total charge the semiconductor has stored in itsspace charge (or depletion) layer, Qs as a function of the electrostatic potential ψs its surface hasreached under the influence of the gate field applied. The resulting equations are given below. 2. k. T . ψ s . Εs ψs F ψs q. L D ψ s Qs ψs ε Si. Ε s ψ swhere β

Collection

1997 Annual Conference

Authors

Marshall R. Boggio

Linear Valve - regulates the flow rate through the channel Flowmeter - measures total volumetric discharge of flume (Q) Level Sensor - measures height of in channel (y) Temperature Sensor - measure temperature for density correction Pressure Sensor - measures hydrostatic pressure Linear Positioning - positions, level sensor to determinestation depth along channel flow Optical Disk R/W - storage medium for visuals/videopresentation CD-ROM Driver Station - interface of optical disk to computer system containing pictoral/video presentations Software Microsoft Visual Basic - programming to run presentation Visual Basic Add Ons - enhancements to produce animation pictures and graphics

Collection

1997 Annual Conference

Authors

Glenn S. Kohne

  kTn is a constant between 1 and 2 depending on manufacturing and VT = q -23 k = Boltzmann's constant = 1.38 * 10 joules/Kelvin T = the absolute temperature in Kelvin = 273 + temperature in °C. q = the magnitude of electronic charge = 1.602 x 10-19 coulombTestsThe curve fitting algorithm was evaluated in comparison to two other polynomial fittingprograms. For several different sets of data points, a polynomial of each degree 1 to 5 was fittedusing a statistical package available on our VAX computer, using MATLAB, and using Curvefit.The coefficients generated by each of the three packages were generally the

Collection

1997 Annual Conference

Authors

Jim Morgan

Hispanic African-American Traditional 72% 70% 70% Coalition 88% 84% 90% Grades can be viewed from several perspectives, the grade point averages for thecoalition students and those students completing the same courses in the traditional program areessentially the same. On the other hand, as illustrated below, the distribution of grades is not thesame. % of D, F, and Q-Drops 50 45 40 35 30 Coalition 25 Traditional 20 15 10 5 0 ENGL ENGR

Collection

1997 Annual Conference

Authors

M. E. Parten

Figure 5. In Figure 5 the actual states and state transitions aredefined. The system then generates a set of next state decoding equations once the type offlip flop has been set. " GRAY8 PROCEDURE GRAY8 (INPUT clock, reset; OUTPUT q[4] CLOCKED_BY clock); IF reset THEN q = 0; ELSE STATE_MACHINE gray STATE_BITS q STATE_VALUES GRAY_CODE; STATE s1: GOTO s2; STATE s2: GOTO s3; STATE s3: GOTO s4; STATE s4: GOTO s5; STATE s5

Collection

1997 Annual Conference

Authors

Holly G. Peterson

1.63 x 100 1.22 x 100 2.45 x 100 1.77 x 100 (µg/m3)* The sampler at Location # 2 malfunctioned during Experiment # 1. The tracer data provided a quantitative and qualitative picture of the dilution of pollutantsin this alcove under these meteorological conditions, but additional calculations were performedto relate the results to concepts of ventilation and risk analysis. An average ventilation rate (Q)for the alcove with units of m3/s was estimated from the average concentration in the alcove(CSF6) using the box model equation for conservation of mass: Q = QSF6 / CSF6; where unitson the release rate are ug/s, and units on concentration are ug/m 3. In addition, steady-stateconcentrations of specific pollutants (Cp

Collection

1997 Annual Conference

Authors

Seung H. Kim

. The concentrations of carbon atoms are given: 21 C1 1.53 . 10 20 C2 7.65 . 10 The thickness of the steel specimen is given: ∆x 0.1 The activation energy (q), the diffusivity (Do), and the gas constant(g) are: q 142000 Do 0.2 R 8.314C alculate the flux of carbon atom at various temperatures: 850, 900, 950, 1000, 1050, and1100 celsius degrees. i 850 , 900 .. 1100The conversion of temperture from Celsius degree to Kelvin degree

Collection

1997 Annual Conference

Authors

Richard L. Marcellus

particular value is $50,000 / A. If no choice is made, A will be equal to 5. Explainhow you would approach the problem of choosing a value of A. Example 4 Sample Design ProblemAutomobile dashboards have lights that are intended to warn the driver of impending engineproblems. Ideally, each light should turn on when problems are imminent, and stay darkotherwise. However, it is usually only possible to approximate this behavior with highprobability. Suppose A stands for the event “Engine Problem Exists” and B stands for the event“Light Turns On”. Suppose P{B | A} = p, and P{Bc | Ac} = q. Suppose that P{A} = 0.01.Assume that 0 < p,q < 1.a) How large should p and q be if

Collection

1997 Annual Conference

Authors

Andrzej J. Gapinski

¦ ¦ ¦---- --+------------+------------¦ ¦ ¦ 2 ¦ 20:09:00 ¦ 021.3 V ¦ ¦----------------------------------------------+-----+------------+-------------¦ ¦ Desired activity ? ¦ 3 ¦ 20:09:05 ¦ 021.3 V ¦ ¦ F=Function I=Interval P=Printer ¦-----+------------+-------------¦ ¦ L=File B=Beep C=Compare ¦ 4 ¦ 20:09:10 ¦ 021.3 V ¦ ¦ R=Run O=Port Q=Quit ¦-----+------------+-------------¦ ¦ ¦ 5 ¦ 20:09:15 ¦ 021.3 V ¦ +-------------------------------------------------------------------------------+ METDEMO.EXE's control screen shows five measurements of AC voltage taken in 5 seconds intervals. Figure 1

Collection

1997 Annual Conference

Authors

Satinderpaul Devgan

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

Collection

1997 Annual Conference

Authors

David E. Clough

differential tuition. Ienvisioned an active-learning workshop in each class and patterned class meetings in thefollowing way: ⇒ 5-10 minutes of Q&A ⇒ 10-minute mini-lecture (just the main concepts & high points) ⇒ 10-minute example problem ⇒ 40-minute active-learning workshop ⇒ 10-to-15 minute synopsisThis plan required the development of 28 active-learning workshops. These are described in thetable below: Workshop Theme Activity1: Binomial distribution 10-coin flip2: Temperature measurement Measure temperature distribution in Engineering Center3: Permutations/combinations Exercises with lettered cubes4: Probability

Collection

1997 Annual Conference

Authors

Stanley N. Onggowijaya; Ing-Chang Jong

(o) θ 1 = 487° Picture (p) θ 1 = 630° Page 2.78.8Sample Pictures in the Animation (Continued) Picture (q) θ 1 = 720° Picture (r) θ 1 = 720° and asymptotes Salient Features of Space CentrodeThe preceding sequence of sample pictures in the output of the QuickBASIC program reveals sev-eral salient features. The jumps and meander in the locus of the velocity center C of the couplerare indeed spectacular. It is of interest to point out the following salient features:■ As the crank AB rotates counterclockwise from the position θ 1 = 0°, C starts to move out from the support at E.■ For 0 ² θ

Collection

1997 Annual Conference

Authors

Kirk E. Hiles; David L. Walters; Vincent Wilczynski

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

Collection

1997 Annual Conference

Authors

Bruce A. Finlayson

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

Collection

1997 Annual Conference

Authors

Glynn P. Adams; Ing-Chang Jong

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

Collection

1997 Annual Conference

Authors

Ali Behagi

selectionof an operating point for stable operation and maximum power output, frequency pulling, large-signal effects, and noise characteristics. The Series IV software can optimize the design and offerseveral types of oscillator analysis, ranging from fully automated to fully manual. Severaltransistor oscillators such as the Dielectric Resonator Oscillator (DRO), microstrip oscillator,crystal oscillator and coaxial resonator oscillator, up to 12 GHz, have been designed and tested.A new software technique for the measurement of the oscillator Q factors, pulling figure andphase noise has also been developed.5.3 - Voltage-Controlled Oscillator Design Tunable oscillators are necessary in many types of electronic systems such ascommunication

Collection

1997 Annual Conference

Authors

M. E. Parten; M. C. Baker

, and this created some delays in getting material to thestudents. Others1 have reported using teaching assistants and student programmers toassist in the course. Unfortunately, this type of assistance was not available for thiscourse.The student submission of assignments by ftp worked adequately, after a few initialproblems. However, the ftp approach did not work effectively for submission ofquestions. Going through 30 different sub directories to find new files containingquestions was too time consuming. Also, communicating back to 30 students individuallyby ftp was much too time consuming and was abandoned. The Q&A and News pages onthe Web helped to some degree. The one hour a week meeting did not seem to be enoughtime to foster peer

Collection

1997 Annual Conference

Authors

Michael Khader

and logical expressions evaluate to either TRUE or FALS ( 1 or 0)If - Statement • Construction: if (expression) statement : expression is a valid C expression and statement is a single C statement or a group of statements in braces • example_1: int exam_mark; printf(“enter mark:”); scanf(“%d”, &exam_mark); if (exam_mark >= 90) printf(“you got a A”);If Statement -- Continue • example_2 char c; if ( c = getchar() == ‘q’) { printf(“Are you sure you want to quit, Y or N?”); ”); c = getchar() if ( c == ‘Y’); Page 2.300.4 { cleanup(); exit(0

Collection

1997 Annual Conference

Authors

F. C. 'Ted' Weston

walking tour of key areas where specific operations and/or functions canbe viewed. The last part of each tour is a ‘Q & A’ where students are encouraged to posequestions to managers, engineers, and/or technical specialists. In addition to the plant visits, oneor two guest speakers are scheduled for in-class presentations on topics related to CIM. Page 2.1.4III. Lecture TopicsLecture topics in the CIM course are structured along functional area views of CIM. After a ‘bigpicture’ overview of a manufacturing environment is presented, including global considerations,lectures begin with an engineering perspective of CIM, followed by an IS

Collection

1997 Annual Conference

Authors

M. Kostic

T14 V V 1 .8 2 Ω 0 -1 5 V D C T13 AT-M IO -16DE-10 T10 D a ta A c q uisitio n