that hasserved the pre-college engineering community for over 50 years.The engineering clubs will participate in the Tests of Engineering Aptitude, Mathematics andScience (TEAM+S) competition developed by JETS. The TEAM+S competition is anacademically challenging, open-book, open-discussion exam taken by teams of four-to-eighthigh school students. TEAM+S presents the multidisciplinary aspect of engineering work byillustrating how math and science concepts work together and are applied to solve real-worldproblems.JETS and the Diversity in Engineering Technology project promote interest in engineering andengineering technology and are dedicated to providing real world engineering and problem-solving experiences to high school students. Through
) ( Var [ Ccrit ] = Ca + Cb + Cc − CaCb − CbCc − CaCc /18 2 2 2 ) (4)Equation 3 and 4 provide a direct method for calculating the variance of each critical element.In order to avoid complex interdependency problems that would weaken the meaning ofoutput from BCRA, one should eliminate interdependencies between critical elements [1].In this situation, one can use the addition property to summate the total variance of the totalcost for the project. Thus, for critical elements, the total variance of the total cost ( S 2 ) canbe broken down into the variance of Local subtotal cost ( S
, which has been used in codes such asCEA[5], has been implemented by the use of chemical equilibrium constants. In what follows,the mathematical model for stoichiometric case as well as oxygen rich (lean mixture) and fuelrich (rich mixture) cases are presented and the solution procedure is discussed. Q% cv x lb-mole/s H 2 combustion chamber combustion products y lb-mole/s O2 Figure 1: Schematic diagram of the combustion chamber.Development of Mathematical
problem and to fully utilize common computing resources with the simplealgorithms in this topic.For the purpose of algorithm comparisons in lecture, the number 10,007 (prime) is used and is Page 9.407.3referred to the “subject” (denoted as S). Its proximity to the round value of 10,000 simplifies “Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright 2004, American Society for Engineering Education”rapid comparison of algorithm efficiency. The concept of modular arithmetic and its applicabilityto prime number testing is presented in lecture, and its
. To extend the system,we include two more customized tables: 1. A table containing class registration, and student s information, and 2. A table containing student s survey registration information (whether the student can Page 9.959.3 respond to a particular course survey). “Proceedings of the 2004 American Society of Engineering Education Annual Conference & Exposition Copyright © 2004, American Society of Engineering Education”The survey respondent table has to be coincided in with the record shown in the classes andstudent information table. A default survey template has also been created that
Session 1793 NASA KC-135A Reduced Gravity Undergraduate Program G. K. Watkins, K.L. Locklear, R. J. Goins, C.W. Spivey William States Lee College of Engineering The University of North Carolina at Charlotte Charlotte, NC 28223AbstractThe Johnson Space Center of the National Aeronautics and Space Administration(NASA) sponsors the Reduced Gravity Student Flight Opportunities Program. Thehighly competitive program affords undergraduate students the opportunity to propose,design, fabricate, execute, and evaluate reduced gravity experiments. NASA s KC-135Aresearch
(notebooks) to document their work overthe semester as a part of this project.7 Journals were periodically evaluated using a rubric to helpencourage good record keeping, and students were given specific feedback on the expectationsand quality of their journals. These journals constituted 15 % of the final course grade. At projectcompletion, journals were collected and coded according to the scheme in Table 1, with timesassigned according to the start / end times recorded. TABLE 1: CODING MATRIX Design Activities Concept (C) System (S) Detail (D) Problem Definition (PD) C/PD S/PD D/PD
Chemical Engineering Division: Assessment of Teams, 3513 paper 832 An Approach to developing Student=s skill in Self Assessment Donald R. Woods and Heather D. Sheardown Department of Chemical Engineering, McMaster University, Hamilton ON L8S 4L7Abstract: Self and peer assessment can be vital parts to any team assessment. Theassessment can be of the overall team or of the performance of team members.Assessment is a judgment as to the degree to which a goal has been achieved. Instudent self assessment, the judgment is made by the student. In this paper the fiveprinciples of assessment are summarized. Assessment is about performance notworth; is based on evidence not intuition
Copyright 2004, American Society for Engineering Education Figure 1. Humanities (Reprinted with permission of Nick D. Kim)Grade inflation is widely reported in the literature; and virtually all reports of it are critical.* Acomprehensive overview of grade inflation is given in the CQ Researcher28 and Professor John-son s book29 provides a thorough quantitative study of the subject. In addition, circumstantial evi-dence has been reported which suggests that grade inflation has encroached upon engineeringeducation.27, 30-35 It has recently been reported that at Northwestern University s McCormickSchool of Engineering and Applied Sciences, 48 percent of grades are in the A
limit choices ultimately determine the performance of thecontrol chart. In this paper, we will demonstrate how with some basic knowledge of geometric,normal, and chi-square random variables, a student can learn to construct X-bar and S controlcharts that will have specified properties in terms of performance. In evaluating control charts,one is usually concerned with the false alarm rate (how frequently does the chart erroneouslysignal if the monitored process is on target?) and the detection rate (how quickly does the chartsignal if the monitored process is not on target?). Using the simple tools proposed in this paper,the designer of a control chart can determine the sample size and control limits required toestablish a desired false alarm
Re ?/ u dt 8v dv C Re ?/ D v/g dt 8vEquation (12) subject to initial conditions below: x ( 0) ? 0 y ( 0) ? 0 (13) u(0) ? V0 cos s v (0) ? V0 sin sMake the system of non-linear, time dependent, ordinary differential equations, whichdescribes the flight of the golf ball. In equation (13) V0 is the launching speed
Concentration 15 Secondary Concentration 15Currently there are draft plans for concentrations in Modeling and Simulation, SecurityEngineering, Business and Entrepreneurial Systems, Digital Electrical Systems, andMechanical and Automation Engineering. More concentrations will be added as theprogram grows. The next section discusses the modeling and simulation concentration.The Simulation Engineering ConcentrationThe need for an undergraduate Modeling and Simulation (M&S) program today iscompelling and motivated by three key factors. First, given that technology is gallopingat an incredible rate, the inherent interdisciplinary nature of M&S fosters a much
relationships among those concepts or ideasor, in other words, how the concepts interfere on one another. This is done through two basiclaws of the interaction of parts, which can be, for example, “cause” or “not cause”. However, Page 9.545.2 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition Copyright © 2004, American Society for Engineering Educationin a “cause” case, we need to inform if the action of a given concept is in the direction ofstrengthening or weakening the other(s) concept(s). That is: – if Ci↑ → Cj↑ or Ci↓ → Cj↓, then wij > 0
. Power Available 1.600 1.400 1.200 1.000 Power Available [W] 0.800 Power Available 0.600 0.400 0.200 0.000 0.000 2.000 4.000 6.000 8.000 10.000 12.000 14.000 16.000 Wind Speed [m/s] Figure 2: Power Available Curve for the DC
organized as follows: Section 2 describes the Simulink modelselection. Section 3 sets up Simulink model. Simulink results will be provided in section4. Some discussions will be given in the section 5.Simulink Model SelectionThere are many systems, which their dynamical behaviors can be describedapproximately by linear second differential equations, four typical examples are shownbelow. (a) Electrical Systems5: Consider an inductance L, a resistance R and a capacitance C serial connection circuit. If the input voltage source to the network is ei (t ) , then the output voltage across the capacitance C, eo (t ) is satisfied the equation: E (s) 1 In frequency domain: o
, and experimental practices, (p) a competence inexperimental design, data collection, and data analysis, (q) a competence in the use ofcomputational tools, (r) knowledge of chemistry, and (s) knowledge of calculus-basedphysics.The Mechanical Engineering Faculty at AAMU revised the course contents to satisfy theabove criteria (a-s). Each course contents were mapped to the above (a-s) requirements.Although each course does not satisfy all the (a-s) requirements, the overall ME curriculaprovide the (a) through (s) training. The Mechanical Engineering program at AAMU wassuccessfully accredited by ABET in Summer 2000 and again in Fall 2002.2. Assessment ToolsThe educational objective of the Mechanical Engineering program is to provide students
100 1,000 10,000 0.1 1 10 M agnetizing Force RM S Ampere Turns Per M eter Watts Per Pound (P) (a) Magnetizing force (b) Core loss Page 9.374.2Fig. 1 Core magnetization curve “Proceedings of the 2004
Session 3266 Student Understanding of Program Outcomes through Formative and Summative Course-Level Assessment Raghu Echempati, Arnaldo Mazzei and Karim Nasr Mechanical Engineering Department Kettering University Flint, MI 48504AbstractIn this paper, an approach is suggested to begin a process in which each student, while solving ahomework problem, or a test or a project is asked to provide additional information concerningwhat concept(s) is (are) targeted in each homework problem and to what extent, if any
Session 3532 Developing a MATLAB-Based Control System Design and Analysis Tool for Enhanced Learning Environment in Control System Education Frank S. Cheng and Lin Zhao Industrial and Engineering Technology Department Central Michigan University Mount Pleasant, MI 48859AbstractThis paper presents the development of a MATLAB-based control system design and analysis(CSDA) tool for aiding engineering students to learn feedback control system theories anddesign techniques. As a result
18.000 16.000 14.000 Velocity (ft/s) 12.000 D=4" 10.000 D=5" 8.000 D=6" 6.000 D=8" 4.000 2.000 0.000 0 2000 4000 6000 8000 10000 Pipe lenght (ft)Figure 4 - Flow Velocity versus Pipe Length and Diameter for Example 1Example 2 - Flow Distribution in a
error signal or the measured position output from the shaftencoder. The resolution of the measured value is limited to the number of tracks on the encoderdisc. The encoder has six tracks, so the resolution is 2*6 = 64 levels. This results in the measuredvalue having a more stepped appearance. The diagram of Figure 2 shows how the system blocksare connected for this experiment. Figure 2. Block diagram of the SFT154 shaft encoder position controlTo study the stability, transient and steady state responses, sampling time of 0.5 msec is used.The motor/gear transfer function, Gm(s) and the sensor transfer function H(s) are obtainedthrough an experiment: Gm(s) = 20/s(s+4), H(s) = 0.6Z-transformation of Gm
Session 1150 The Engineering Technology Education Bibliography: A Retrospective Glance Marilyn A. Dyrud Oregon Institute of TechnologySince 1987, the Publications Committee of ASEE=s Engineering Technology Council hassponsored the compilation of the annual AEngineering Technology Education Bibliography,@which lists the publications of the engineering technology community by calendar year andappears in the fall issue of the Journal of Engineering Technology.As information needs have grown, the bibliography has followed suit. Indeed, the
formation from the elemental metal and hydrogen. (Both processes aredemonstrable with this simple apparatus) Consider the hydride formation reaction: H2(g) + M(s) MH2(s) The enthalpy change from right to left (reverse step) is the enthalpy of desorption, Hd, ofhydrogen from the hydride. This is also the enthalpy of decomposition, to give back the elementshydrogen and metal, which in turn is the negative of the heat of formation, Hf. The Clausius-Clapeyron equation for such a phase change is dP/P= (-Hd/RT2) dT Integration from a reference state (Po,To) to (P, T) and rearrangement yields: ln (P) = -Hf/RT + [ Hf/RTo + ln (Po) ] The standard free energy change Go is
to play an important role in the nation's economy as one of thelargest sectors of the chemical industry.5 Application of polymers in biotechnology isexperiencing the fastest growth. Large investments by both government and industry inbiotechnology are reshaping the career paths for both faculty and graduates of the traditionalpetrochemical-centered chemical engineering programs. Hiring by traditional petroleum andchemical companies has stagnated for the last two decades, whereas the health care andbiotechnology sectors are hiring more chemical engineering graduates. The U. S. Department ofLabor projects that the employment of chemical engineers will grow more slowly than theaverage for all occupations though 2010, and the overall employment
(s) in C, C++, Visual Basic, or Java, runningcommercial software supporting courses in circuit simulation/design or circuit board layout, andacting as a workstation to gain access to the Internet or LAN networks. In most EngineeringTechnology curricula there is a limited amount of linkage between those PC applications. Theactual effort to merge the hard-gained knowledge of hardware & software concepts togetherthrough a useful project implementation is also rare. This article is aimed at using the PC in ETupper-level courses as a focal point to help to reinforce knowledge between different fields ofinterest, such as communication, automation control, microprocessor, software programming,and system integration.I. Introduction If the
Promotion of Final Year Capstone Projects Aaron S Blicblau School of Engineering and Science, Swinburne University of Technology, Hawthorn, AustraliaIntroductionIn many engineering courses around the world one of the key aspects required of the studentsis that they complete an independent project in their final year of studies. Project work is nowconsidered to be an important part of an engineer’s training4-6. Students enrolled in their finalyear of mechanical engineering at Swinburne University of Technology are required toundertake and complete a final year project (major capstone project). Students may select aproject from a list
square element ofmaterial belonging to a solid structural member is subjected to the normal stresses sx and sy anda shearing stress txy as shown in Figure 1. In this problem, the normal stress s and shear stress t acting on an inclined surface AB is to be computed together with the maximum andminimum normal and shearing stresses acting on the element. uy A v xy ux ux s
Assiout University which belongs tothe South of Egypt and 35% for Alexandria University, the national average being 30.5%.This is to be compared to 50.16% ratio for the total university population. It should also benoted that this feature is not new although the figures grew steadily in the last five years(Fig.3). In the early 1960's this ratio was almost 10%.The female graduates represent more than 50% of Architecture and Chemical Engineeringgraduates, around 30% of those of Electrical Engineering, 25% of Civil Engineering andaround 15% of the Mechanical Engineering ones (Fig.4).On the staff side, the percentages are less pronounced by are still much larger than thecorresponding in western engineering educational institutions
4.34 / 0.60 4.41 / 0.67 3.88 / 0.91ComputersDr. Stress 4.52 / 0.57 4.28 / 0.96 4.31 / 0.89 4.03 / 0.87SoftwareAll 4.02 / 0.97 4.11 / 0.97 3.83 / 1.02 4.04 / 0.97ComponentsAverage response is listed first followed by standard deviation. Like Rating 5.00 4.00 3.00 0.975 Limit Rating 0.025 Limit 2.00 Average 1.00 0.00 s