asynchronous squirrel-cage induction generator directly connected to the grid via a transformer. Since the squirrel-cage induction generator always draws reactive power from the grid, this configuration uses a capacitor bank for reactive power compensation. Type B: Limited variable speed wind turbine. This one uses a wound rotor generator with variable generator rotor resistance and pitch control, which allows for a speed range of up to 10% above the synchronous speed. Type C: Variable speed wind turbine with a doubly fed induction generator (DFIG) and pitch control. This concept allows a wider range of dynamic speed control compared to Type B, depending on the size of the frequency converter. Type D: Variable speed and
silicone-rubber mold (Figure 1). A series of fiber reinforced plastic parts was made from that mold(Figure 2). Each part was created using different combinations of carbon fiber, resin and methodsof resin injection. The end result attained is the level of quality desired (Figure 3). The studentsuse RP machines as a tool to front-load the design and engineering process, leaving more timefor manufacturing considerations. Offline quality control allows changes to be made withoutcapital loss in retooling. Page 12.1186.3 Fig ure 1 – RP b a se fo r rub b e r mo ld Fig ure 2 - La ying up c a rb o n fib e r o ve r
and an electrical system. For a spring-damper-massmechanical system in Figure 1(a), mass, damping coefficient, and stiffness are represented by m,b, and k respectively. If the excitation force is f(t), the equation of motion in terms ofdisplacement x(t) is m%x% - bx% - kx ? f (t ) (1) Page 12.1364.3For the electrical system in Figure 1(b), L, C, and R represent the inductance, capacitance, andresistance respectively. Mathematical modeling in terms of electrical charge q is as following,when the voltage source e(t) is applied. 1 Lq
on the class, an ABA research design was employed. ENSC 2613 retained most of itstraditional techniques, during Module A, and added a development-based section between thefirst and second midterm exams. This new development-based segment, referred to as ModuleB, was created by a joint effort of an experienced professor and a team of undergraduate andgraduate students researching the developmental model and its classroom implementation.Module B encompassed a section of an entirely development-based methodology to be comparedwith the lecture-based “traditional” approach.The following section explains the course structure before the experimental phase conductedduring the fall of 2006. It essentially describes the methodology (called
preference curves and alternative approaches to problem solving is becoming arequirement for multi-disciplinary team processes and creative problem solving. The third, andperhaps more compelling reason, is the need for engineering educators to more adequatelyaddress increasingly diverse learning needs. Consider for example, the thinking preferencecurves using the Herrmann Brain Dominance Inventory (HBDI) for two students shown below. (a) HBDI Student A (b) HBDI Student B Figure 2. Herrmann Brain Dominance Thinking Curves for Two Students A and BBy its nature, much of the engineering curriculum resides in quadrant A. For student A, there isa strong match between the curriculum and the student’s thinking
% 0% 0 20 40 60 80 100 Time (min) Figure 2. TCE dechlorination by nanoscale Pd/Fe. Page 12.973.5AssessmentModules were evaluated by the University of Massachusetts Donahue Institute (UMDI). Twosurvey instruments were used, namely feedback surveys (Appendix A) and multiple choice pre-post-tests (see Appendixes B, C
+ - of Polarity (a) (b) Figure 5: Piezoceramic Poling Process: Before (a) and After (b)To pole the piezoceramic, a strong electric field (> 2000 V/mm) is applied to the heatedpiezoceramic material, inducing the material to expand along the axis of the field and contractperpendicular to the axis (Figure 5(b)). After the material cools and the field is removed, theWeiss domains roughly remain in alignment. As a result, the material now has its own polaritywhich can be degraded by exceeding the mechanical, thermal, and electrical limits of thematerial. Subsequently, there is a growth in the direction parallel to the polarization and acontraction in the direction
said to be an m x n matrix, or a matrix of size "m byn".Matrix Addition and Subtraction: The sum (difference) of two matrices A and B is written A+B(A-B). Matrices must be the same size to be added or subtracted. The entries in the resultingsum A+B are aij + bij for i = 1 … m and j = 1 … n. The entries in the difference A-B are aij - bijfor i = 1 … m and j = 1 … n.Matrix Multiplication: Let A be an m x n matrix and B an r x p matrix. The product of these twomatrices, AB, is only defined if n = r. The resulting product C = AB is an m x p matrix inwhich: n cij = 1 aik bkj ; i=1...m; j=1...p k =1Transpose of a Matrix: The transpose of an m x n matrix A is
. Page 12.1550.31 Data comes from a survey posted to two listservs, SIGCSE-members@acm.org (Computer Science) and theEngineering Technology listserv (etd-l@listproc.tamu.edu) in January 2007. Responses were received fromapproximately three dozen programs.Proceedings of the 2007 American Society for Engineering Education Annual Conference & Exposition 2Copyright 2007, American Society for Engineering Education3. Contracts and assessmentIn most cases, independent studies are graded on the same scale as other courses (A, B, C, etc.).However, a substantial number of institutions grade them pass/fail, and sometimes the student orthe instructor chooses whether they are to be pass/fail or letter-graded. The reason for requiringpass/fail
and2 is port (A,B: in std_logic; C: out std_logic); end entity and2; architecture ex1 of and2 is begin C<= A and B; end architecture ex1; Fig. 1. AND gate VHDL Module To teaching the different VHDL styles, the dataflow and structural VHDL descriptions inFig. 2 and Fig. 3 to realize a simple logic function F = A’B+AC (where ’ stands for logiccomplement) were presented thereafter. library IEEE; use IEEE.std_logic_1164.all; entity comb_function is port (A,B,C : in std_logic; Z: out std_logic); end entity comb_function
Digital to Analog Converter Actuators (DAC) Fig. 1 Typical CPLD-Based Controller CircuitA typical circuit design employing a CPLD requires the following steps, as depicted in thedesign flow of Fig. 2 : a) Design entry; b) Design Simulation; c) Design synthesis; and d) Device programming.“Design Entry” provides a description of the required circuit based on the design specifications.The simplest design entry is achieved through schematic capture of the circuit from a library ofcomponents provided by the design tools such as the Integrated Synthesis Environment (ISE)1from
concepts.Fleith et al5 summarized the research on creativity training programs and decided on a programdeveloped by Renzulli10. Both the Verbal and Figural TTCT were administered to 217 childrenbetween the ages of 8 and 12 years old. Form A was used as the pre-test and Form B was usedas the post-test. Their conclusion was that the creativity training may improve the creativity ofstudents. Kim and Michael8 studied the creativity of 193 junior high school students using theTTCT. The students with right brain dominance were found to have higher creativity scores thanthose classified otherwise.The effect of creative problem solving training on adults was investigated by Wang and Horng17and Wang et al18. The studies for both papers involved the same 106
concepts.Fleith et al5 summarized the research on creativity training programs and decided on a programdeveloped by Renzulli10. Both the Verbal and Figural TTCT were administered to 217 childrenbetween the ages of 8 and 12 years old. Form A was used as the pre-test and Form B was usedas the post-test. Their conclusion was that the creativity training may improve the creativity ofstudents. Kim and Michael8 studied the creativity of 193 junior high school students using theTTCT. The students with right brain dominance were found to have higher creativity scores thanthose classified otherwise.The effect of creative problem solving training on adults was investigated by Wang and Horng17and Wang et al18. The studies for both papers involved the same 106
A B C D Totals Times NVAT 53 A 100% 480 144 -- 60 22 B 100% 480 75 72 60 C 30% 144 75 4.5 36 D 30% -- 72 36 4.5 P/T 53 22 4.5 4.5 84 NVAT 684 687
) nanoparticles that haveexcellent magnetic saturation (78 emu/g) are desirable for these applications due to the strongferromagnetic behavior, less sensitivity to oxidation, high storage capacity and relatively lowtoxicity compared to many other materials (e.g., iron, nickel, and cobalt). These magnetitenanoparticles can be produced by co-precipitation of iron (II) and iron (III) chloride salts in thepresence of ammonium hydroxide at above pH 9, and can be easily stabilized by fatty acids innonpolar solvents. Figure 1 shows a transition electron microscope (TEM) image of magnetitenanoparticles produced using a co-precipitation technique and b) schematic view of thefunctionalized nanoparticles in a liquid medium [1-3]. Ferrofluid is a magnetic
: Companies can no longer afford to have their productsproduced at B or C level. Nor can they afford to have their engineers, who conceive theseproducts, to be educated at B or C level of competence. The importance for the nation to morefully develop its creative engineering capital in industry for professional competency andresponsible positions of engineering leadership of continuous technology development andinnovation is no longer in doubt. But the new challenge in professional graduate education forengineers requires a change in educational process that is not new. What were once the dreamsof forward thinking educators to remove the constraints of time and place from the educationalprocess for competency-based learning can now become reality. We
theprocedure is being discussed, the corresponding step is applied to the example. The tandemmethod is more effective since it facilitates (a) the explanation of the procedure and (b) thestudents’ realization of the conceptual topics and therefore saves time. Two proceduralalgorithms are considered. The first one is from a Linear Algebra course explaining a procedurefor solving first order differential equations and the second is from a Digital Systems course thatprovides steps in designing Sequential circuits.I. IntroductionIn teaching students, a variety of ways can be explored to draw the students’ attention. Typicallystudents learn by means of visualization, hearing, intuition, rationalization, memorization, anddrawing analogies in understanding
a designated path.Engineering System Connectivity and Assembly:Connectivity or assembly of elements in an engineering system can be accomplished in onlythree steps as shown in Figure 13. 1. Insert each object required for the assembly (computer peripherals in the figure). 2. Insert a connector between elements that are connected during assembly (a shape was used in the figure). Stretch the connector to show connections between objects. 3. Click on Slide Show and then choose Custom Animation to simulate adding components to the base (processor) diagram or object. a. The screen begins blank and then the processor appears. (Custom Animation – Entrance – Dissolve in) b. The connector to the monitor
>>” prompt.The example below shows a single MatLab sin command entered to evaluate the sin of30 degree (pi/6) to produce 0.50: EDU>> sin(pi/6)Multi Plot Script: A script is used here to demonstrate the multi plot features of MatLab.A mesh plot, a surface plot, a contour plot, and a combination of surface and contour plotare shown all in one screen in Figure 2. Placing these plots next to each other should helpto better visualize the problem.clear % clear removes all variables from the workspace.clc %clear screen% The linspace function generates linearly spaced vectors. It is similar to the colon% operator ":", but gives direct control over the number of points.% y = linspace(a,b,n) generates a row vector y of n points
compiled, analyzed and tabulated. There are plans to generate similar modules for use insophomore, junior and senior level courses. Appendix B provides an example of an EthicsModule that was used by the authors. (Henthorn, 1994 – 2004).Students were encouraged to participate in classroom discussions. There were no lectures.On the contrary, Socratic Inquisition techniques were utilized in the classroom to create anatmosphere identified as Learning Paradigm. (McKendall,1993) Students were asked tosummarize their thoughts in a written report, which was later analyzed, graded, assessed andtabulated. The results were analyzed using Washington State University’s Rubric (Appendix A)and categorized using a Likert Scale. Data were plotted using a bar chart
AC 2007-2019: USING MATHCAD TO ENHANCE THE EFFECTIVENESS OF THEWIND ENERGY TOPIC IN AN ALTERNATE ENERGY SOURCES COURSEB. Hodge, Mississippi State University B. K. Hodge is Professor of Mechanical Engineering at Mississippi State University (MSU) where he serves as the TVA Professor of Energy Systems and the Environment and is a Giles Distinguished Professor and a Grisham Master Teacher. He served as President of the American Society for Engineering Education (ASEE) Southeastern Section for the 1999-2000 Academic Year and was the 2004-2005 Chair of the Mechanical Engineering Division of the ASEE
electrophysiologyrelated simulations since it is possible to simulate hybrid circuits with both biological andsynthetic electronic components.Bibliography1. N. K. Sinha, Control Systems, New York: Holt, Rinehart and Winston, 1988.2. R. S. Tucker “Large-signal circuit model for simulation of injection-laser modulation dynamics,” IEE Proceedings, Part I, vol. 128, no. 5, pp. 180-184, 1981.3. B. Bunow, I. Segev, and J. Fleshman, “Modeling the electrical behavior of anatomically complex neurons using a network analysis program: excitable membrane,” Biol. Cybern., vol. 53, pp. 41-56, 1985.4. R. B. Szlavik, A. K. Bhuiyan, A. Carver, and F. Jenkins, “Neural-electronic inhibition simulated with a neuron model implemented in SPICE,” IEEE Transactions
FA05 FA06 1 a -2 17.0 23.9 13.2 19.2 30.4 55.2 b 2 36.2 54.3 68.4 (-100
system.User network authentication within the university lab has not yet been addressed, but research isin process.Bibliography1. Campbell, A., Pargas, R., “Laptops in the Classroom”, Proceedings of SIGCSE’03, Feb. 2003, pp. 98-1022. Leone, J., Hartpence, B., Weber, B., “A Networking and System Administration Laboratory Infrastructure”,Proceedings of CITC3, Rochester, NY, 2002, session 2613. Higby, C., Blackham, N., Rogers, B., Bailey, M., “Re-imaging Computers for Multi-purpose Labs”, Computersin Education Journal, v 15, no. 3, 2005, pp. 34-404. Tarnoff, D., “Shifting Students’ Financial Responsibilities form Textbooks to Laboratory Resources”, Journalof Computing Sciences in Colleges, v 22, no. 3, January 2007, pp. 237-243
(Comprehension) Yes 3. Organizational and process benchmarking (Analysis) Yes B. Standards, specifications, and models. Identify and use software process and assessment Yes models, including ISO 9001, ISO 15504, IEEE software standards, IEEE/EIA 12207, SEI Capability Maturity Model Integrated (CMMI), etc., in a variety of situations. (Application) C. Leadership tools and skills No D. Ethical conduct and professional development No II
( vs , yyi, xxi, yin) 0.000564 0.01120 0.000842 0.01855 0.001403 0.0342 0.001965 0.0513 0.00279 0.0775 0.00420 0.121 0.00698 0.212 i := 0 .. 4 y1 − y2 ∆y := ∆y = 0.045 yyi := y2 + i ⋅∆y xxi := x( yyi) 4 yyin := i a ← yyi b ← λ ( a) xb ← 1 − xxi
calledChannel A and Channel B. Channel B output is shifted by 90 degrees from channel A whichenables direction of rotation information to be obtained. The ability to detect direction is criticalif encoder rotation stops near a pulse edge. The quadrature scheme can effectively “multiply” thenumber of counts or pulses during each revolution of the shaft. In the times-one mode, counts aregenerated only on the rising edges of Channel A. In the times-two mode, both the rising andfalling edges of Channel A generate counts increasing the resolution by a factor of two. In thetimes-four mode, the rising and falling edges of Channel A and Channel B generate countsincreasing resolution by a factor of four.An encoder is a device that converts linear or rotary
build the10 ft. x 10 ft. x 12 ft. chamber. The framework of the chamber was constructed with treatedlumber frames as shown in Fig. 1(a). The chamber was carefully wired for the operation of thelighting, temperature control, humidity control, and auxiliary outlets. After the wiring wascompleted, the chamber was fully insulated as shown in Fig. 1(b). The exterior of the chamberwas finished with fiber cement siding. To finalize the chamber, a 6000 BTU room air conditionerwith digital control was installed in one of the walls to control the temperature within thechamber. In addition, a humidifier and a dehumidifier were installed inside the chamber tocontrol the humidity within the chamber. The completed environmental chamber cost around$1500
company. (A, B, C, D)Hands-on engineering labs – The students are presented with an overview of engineering ingeneral and the disciplines commonly offered by universities across the country. The programparticipants are then required to choose a subset of the fields that they would like to furtherinvestigate. Students are asked to select experiences from the following areas of study:Biosystems and Agricultural Engineering, Chemical and Materials Engineering, CivilEngineering, Computer Science, Electrical and Computer Engineering, and MechanicalEngineering. The students have the opportunity to learn about these fields with faculty andstudents from each discipline. The hands-on activities usually begin with a discussion of the areaof interest, a
boxes providedon the program screen for that purpose. Additionally, there are two “calculate” buttons to startthe program instead of just one. The first “calculate” button is provided for steady stateproblems and the second one for transient problems. The input required is 1.) Rectangle height and width. 2.) Thermal conductivity. 3.) Volumetric heat capacity. 4.) Initial temperature for transient cases. 5.) Designation as to the type of boundary condition on each of the four sides: a.) Prescribed Temperature. b.) Prescribed Heat Flux. c.) Convective Condition. 6.) Specification of the magnitude of the boundary condition. a.) Prescribed temperature for prescribed