Session 1426 Modular Lumped Mass Experiment Bijan Sepahpour, Elton Clark and Loren Limberis The College of New Jersey Department of Engineering Ewing, New Jersey 08628-0718ABSTRACTA Lumped Mass Experiment is proposed for integration into multiple course curriculums. Thedesign of the associated apparatus has taken into account the factors of cost, safety, ease ofmachining, modularity, reliability, mobility, size, reproducibility and aesthetics. The systemincorporates adjustability for mass, spring constant(s) and damping
2In fact, the domain of integration should be the domain for which both g(t − τ ) and u(τ ) arenon-zero.Participant S59’s response could better illustrate this participant reasoning. Participant S59obtained the same expression that participants S02 and S24 obtained for y(t), but his writtensolution was more elaborate and indicative of the reasoning underlying his response. He wrote: ∞ y(t) = g(t − τ )u(τ ) dτ −∞ −1 2 = g(t − τ )u(τ ) dτ + g(t − τ )u(τ ) dτ −∞ −1
Fellowship at the University of Cambridge, UK. He joined the UIC Chemical Engineering faculty in 1991, and has research interests in fluid mechanics, transport phenomena, applied mathematics and computer simulations - with applications in drug delivery technology.Prof. Jeremiah Abiade c American Society for Engineering Education, 2019 An Integrated Program for Recruitment, Retention, and Graduation of Academically Talented Low-Income Engineering StudentsIn this paper, we summarize the poster presented at the NSF Grantees Poster Session that providesan overview of the S-STEM program. The S-STEM program at the University of Illinois atChicago (UIC) began in 2017 and was developed to provide
torsional spring and torsional damper atthe base is given below (see FIGURE 1). l ml 2s%% - Cs% - Gs / mg sin(s ) ? 0 2 (1) s l Rigid rod – Moment of g inertia about pin: ml 2 3 Torsional spring
of competence ● Validated and reliable student performanceTo answer the Research Question, teaching can be redesigned to support students in transfertheir knowledge and skills by integrating the transfer of learning and authentic assessmentconcepts displayed in Table 1.MethodologyBased on an undergraduate engineering program at the Singapore Institute of Technology,students are exposed to simulations using finite element analysis (FEA) and computationalfluid dynamics (CFD) as part of their Year 1 engineering foundation [15], [16]. In Year 2, thestudents are taught the Mechanical Simulation (M&S) module to learn how to solve ill-structured
have been investigated under different water concentrations. The poolboiling characteristics are highly dependent upon the water volumetric concentration which canrandomly follow two different types of curves when the water concentrations are in the range of5.3 Vol. % to 7.8 Vol. %. This could be attributed to the dynamics and microstructure of thenanoemulsion fluids, however, more study is needed to further clarify the mechanism behindMeanwhile, the addition of phase changeable water nanodroplets can also greatly enhance theeffective heat capacity of the nanoemulsion fluids by upto 70%. REFERENCES[1] Eastman, L. J., Choi, S. U. S., LI, S., and Thompson, L. J., 1997, "Enhanced thermal conductivity throughdevelopment of nanofluids
, and geosciences mobilized bonding and bridgingsocial capital to access academic and professional pathways. Specifically, this case studyinvestigated women in master’s programs participating in a National Science Foundation (NSF)S-STEM program and interdisciplinary community of practice, focused on a wicked problem ofunderstanding and balancing biogeochemical cycles in natural and engineered systems,incorporating a variety of strategies (e.g., mentoring, research opportunities, communityengagement, coursework) to ease transitions into and through master’s programs.Literature ReviewLimited research exists on graduate women in the STEM disciplines. Within the extant literature,we found that women were less likely to apply to graduate school than
equations. The same control system can bestable or unstable depending on the input parameters into the system. Stability or lack of stabilityof a control system can theoretically be determined by solving the control system differentialequation(s). The differential equation(s) can be solved numerically. A numerical solution of adifferential equation produces numbers that can be plotted but not an expression. The differentialequations can also be solved by classical differential equation techniques. The classicaldifferential equation solution techniques can be supplemented by using Laplace Transform andusing the MATLAB software to expedite the Laplace Transform formulations. Damping level(s)in a vibrating system greatly influence the stability level
at a private, research I universitycompleted surveys asking about their perceptions of norm-referenced exams with means in the 20’svs. those with means in the 60’s.The results overwhelmingly show that students found exams with means in the 20’s—but not thosewith means in the 60’s—discouraging and as evidence of bad and uncaring teaching. Studentsreceiving an “A” for exam scores in the 30’s were unlikely to feel proud of their accomplishment andwere highly unlikely to feel that they had learned what the instructor expected. These same students,however, did feel proud when an “A” was based upon an exam score in the 80’s. Students were alsomore likely to consider cheating and were less motivated to study when the median score was in the20
13.271.7Bibliography 1. Larminie, J.; Dicks, A. Fuel Cell Systems Explained, 2nd Edition, Wiley, West Sussex, England, 2003. 2. Los Alamos National Laboratory fuel cell website, http://www.lanl.gov/orgs/ee/fuelcells/index.shtml, accessed February 2008. 3. J. M. Keith, “A Student-Driven Enterprise in Fuel Cells and Alternative Fuels,” ASEE Conference Proceedings, 2004. 4. J. M. Keith, K. C. Opella, M. G. Miller, J. A. King, G. D. Gwaltney, C. A. Green, J. S. Meldrum, and S. A. Bradley, “Engineering Education in Alternative Energy,” ASEE Conference Proceedings, 2006. 5. J. S. Meldrum, C. A. Green, G. D. Gwaltney, S. A. Bradley, J. M. Keith, and T. F. Podlesak, “Fuel Cell Powered Unmanned
engineering students is difficult; most consider privacyissues enough to squash this idea. The alumni themselves are hard to find. ABET seems to sense the difficulty and our evaluators weresatisfied with our limited survey results.Criterion 3’s program outcomes are a different matter. These are the abilities that students are supposed to have on graduation fromyour program. For example, the a-k outcomes that ABET suggests for a computer science program are: Page 25.90.2a) An ability to apply knowledge of computing and mathematics appropriate to the discipline;b) An ability to analyze a problem, and identify and define
Paper ID #37730WIP: A novel problem-driven learning laboratory course inwhich biomedical engineering students conduct experimentsof their own design to answer an authentic research questionBalakrishna S. Pai (Director of Instructional Laboratories)Ketki Patil (Research Technologist II)Todd Fernandez Todd is a lecturer in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology. His research interests are engineering students beliefs about knowledge and education and how those beliefs interact with the engineering education experience.Paul Benkeser (Senior Associate Chair) Paul J
show the variable substitution in an equation, enter “[ctrl sft .] explicit,ALL”.(The three keystrokes in the brackets are pressed down at the same time. No spaces areincluded in the command line.) This can also be done using the Symbolic window by typingthe name of the variable being solved, clicking on “explicit” in the symbolic window, andthen typing “,ALL”. Example 2 in the Appendix uses “explicit,ALL” in the solution asshown below: PA := SGoil⋅ρ water⋅g⋅h ⎡ P.A explicit, ALL → 0.86⋅⎢998⋅⎜ ⎛ kg ⎞⎤ ⋅⎡9.81⋅⎛ m ⎞⎤ ⋅( 2⋅cm) 3 ⎟⎥ ⎢ ⎜ 2 ⎟⎥ ⎣ ⎝ m ⎠⎦ ⎣ ⎝ s ⎠⎦The gravitational
reference speed is a step signalof amplitude 150 rad/s. The setup has the following block diagrams:The block diagram of the DC Motor in open loop is: V(s) G M (s) (s)Figure 3. Block diagram of the DC Motor in open loop.V(s) and Ω(s) are the Laplace transforms of the applied voltage to the motor and speedrespectively, and GM(s) is the transfer function of the motor.The block diagram of the DC Motor in closed loop is: R(s) + Gc (s) G M (s) (s) 0,0032 - 0,0032Figure 4. Block diagram of the DC Motor in closed loop.R(s) and Ω(s) are the Laplace transform of the reference speed (desired speed) or andactual speed respectively; Gc(s) and GM(s) are
Paper ID #18600Apply Second Order System IdentificationsDr. Tooran Emami, U.S. Coast Guard Academy Tooran Emami is currently a faculty member in the Department of Engineering at the U. S. Coast Guard Academy (USCGA). She received her M.S. and Ph.D. degrees in Electrical Engineering from Wichita State University (WSU) in 2006 and 2009, respectively. Her research interests are in control systems and particularly are dynamic positioning, autonomous vessel, Proportional Integral Derivative (PID) con- trollers, robust control, time delay, compensator design for continuous-time and discrete-time systems, and analog or digital
) of the problem:Continuity Equation:Q v .ASpecific Energy Equation: 2 qE( y ) y 2. g . y 2from which the critical depth of flow equation is derived for a minimum specificenergy: 3 2 qyc gMomentum Equation: d v .dSf So (y) (v) dx g dxfrom which the Manning’s equation is derived to find normal depths of flow: 2 1 1.486. R( y ) . S f .A ( y ) 3 2Q nand from which the dynamic equation of gradually spatially varied flow(i.e., theresistance equation) is derived (this form is used for the
the beam, and allowing it to vibratey (1 − r ) + (2ζr ) 2 2 2 ωnfreely, the Beam Data virtual instrument will determine the natural frequency of the beam,logarithmic decrement and damping ratio of the beam. Along with the driving displacement, y,this data can be used to determine the deflection, x, at the end of the beam for a given frequency.The block diagram for the Beam Data VI is shown in Figure 3. Page 5.108.3 T ru e S ign al S ample
. kg Qa∧ Ca − S1 − Qb ∧ C b − S3 − S5 / Qd ∧ C 5 / Qc∧ C3 ? 0 s The carbon monoxide contributions from each area are reasonable in that they add up to 100 %. smoker − grill − intake ? 100 ∧ % Page 14.65.9 Figure 2. Concluded.Problem 1 . Given : Consider the water heater problem shown below. The thermostat setting for turning the heaters off is 130 F. Assume a water flowrate demand of 2gpm starting 100 minutes after turning on the heaters and the same
synchronous machine functions without the price tag of a finite element softwarepackage.The Overall ObjectiveThe objective of this Animation Tool is to assist the studying engineer in understanding theelectrical and magnetic interactions of a 3 phase synchronous machine. This educational motiveis achieved by permitting a simple way to enter Synchronous Machine (S/M) parameters andimmediately see interactive results all in the familiar software environment of MathCAD®. Avisual depiction of an axial cutaway view of a S/M is automatically produced and isaccompanied by a corresponding phasor diagram. To further enhance S/M understanding, thetool visually depicts changes to electrical and magnetic parameters as the user graduallyadvances through full
, Boulder Dr. Wendy Chi is director of ABC Research & Evaluation, as well as a research analyst at Jefferson County Public Schools in Colorado. Dr. Chi holds a Ph.D. in Educational Foundations, Policy, and Practice from the University of Colorado at Boulder. Her research interests include educational equity and access for underrepresented students, with a specific focus on underrepresentation in STEM. c American Society for Engineering Education, 2020Developing Meaningful Studies of Student Success with Equity in Mind –Considering Context (Experience Report)AbstractThe National Science Foundation Scholarships in Science, Technology, Engineering and Math(S-STEM) grants are designed to support
, academically talented students. An innovative scholarship program developedand implemented at Florence-Darlington Technical College, Florence, SC has achieved an 81.8%on-time graduation rate for students in engineering technology programs and other advancedtechnologies by addressing a barrier referred to as the “digital divide” (NSF DUE #0422405,#0806514, #1259402). A technology support element was added to a National ScienceFoundation-funded S-STEM scholarship program in 2004 to address a well-documented needamong prospective scholars. Many scholarship recipients did not have access to a personalcomputer with the software and capability to do assigned work when off campus. To besuccessful, students were making extra trips to the campus to work in an
North Central Section Conference Copyright © 2023, American Society for Engineering Education2.1 Data Generation: Using MATLAB (MathWorks, 1984), a code is written to generate a sinusoidal plot overa sixty second time period for trials 1-9 and a twenty second time period for trials 10-12. Thechange in time period for trials 10-12 is due to the number of waves present when graphed whichmakes differentiating between the calculated and recorded waves very difficult. A time interval of0.0305 seconds is used to obtain all data points. This step is done to match the values generated tothe values collected with the polling rate of the Arduino sensor (19200 baud or 45 points/s Twelveindividual data sets (path trials) are
digital, weregularly process our signals in their digital or discrete form.Returning our discussion to the derivative operator, a student who has learned thefundamentals of the Laplace transform should recognize the derivative, d/dt as theLaplace independent variable s. In most texts, s= σ + jω , and for a discussion of thefrequency response, setting σ = 0 results in the classic result, s = jω . At this point, aSignals & Systems student should be able to recreate Figure 1. This should be recognizedas the magnitude only display of a Bode plot for the response of an ideal integrator, 1/s,and an ideal differentiator, s.Figure 1. The frequency response (magnitude only) of an ideal integrator, 1/s, and anideal differentiator, s. This is a portion
/ Caucasian 566 438 1004 Hispanic / Latino 84 62 146 Multiracial 44 73 117 Other 40 34 74 Total 1043 936 1979InstrumentParticipants completed the Student Attitudes toward STEM (S-STEM) survey, developed by theFriday Institute for Educational Innovation (2012), assessing attitudes toward science,technology, engineering and mathematics as well as postsecondary pathways and careerinterests. The S-STEM survey was validated and found to be reliable with this sample ofparticipants (Friday Institute for Educational Innovation, 2012, Unfried, Faber
low-income families, we have implementeddiverse support programs, including co-curricular and outreach activities. These initiatives weremade possible through the NSF’s S-STEM grant, awarded to us in August 2022. The project aimsto prepare talented minority and underrepresented students to successfully enter computing-relatedworkforce or graduate program to meet local and national needs, which would be also helpful forincreasing the diversity of computing field. The purpose of this paper is to spotlight our ongoingefforts, provide an overview of the outcomes achieved through these initiatives, and outline ourforthcoming plans for continued support and enhancement.Program Description and Supporting ActivitiesOur S-STEM program aims to empower
state, the requisite equations for the model are given below:dn A = − S rA , n A (0) = n A 0 (3) dzdnB = − S rA , nB (0) = nB 0 (4) dzdnC = S rA , nC (0) = nC 0 (5) dzdnD = 3S rA , nD (0) = nD 0 (6) dzdT − S ( ∆Hrxn )rA q = + , T(z=0) = T0dz n A cPA + nB cPB + nC cPC + nD cPD n AcPA + nB cPB + nC cPC + nD cPD (7
context k. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practiceAssessment methods other than the FE exam are more suitable for ABET criteria (b), (c), (d),(g), (i), and (j). Table 2 shows how our FE metric is embedded with other metrics in ourassessment program. The letters “P” and “S” designate primary and secondary metrics,respectively. Secondary metrics are recorded and archived; however, they are not used forreporting purposes unless the primary metric is incomplete or equivocal. Our metrics are: SES: Senior Exit Survey FE: Fundamentals of Engineering (FE) Exam CDSA: Capstone Design Sponsor Assessment CRSW: Comprehensive Review of Student Work
INPUT: $140 Billion Deficit Federal S&T U.S. ATP goods deficits now exceed the total net foreign earnings on all Intellectual Property royalties and fees (including franchise fees) by all "U.S." incorporated companies, from Apple and Intel to Starbucks and McDonald's. (Source: MTN -Nov 2011) S. Kota Innovation Scientific Discovery Engineering Invention
different levels of abstraction areconsidered below. The examples, described in the following subsections, use a sample logicalDB named MUSIC, MUSIC = {C, S, A}, which contains information about recording companies(C), singers (S), and albums issued (A), is build up of the following relational schemas: C (CNo, CName, URL, City); S (SNo, SName, Address, Phone, Email); A (ANo, CNo, SNo, AName, AType, Price, Qty, Year).For simplicity of the DB structure, it is assumed that the DB contains only albums of soloperformers. However, it is possible for a singer to have more than one album produced by onecompany, but a maximum of one album per year.2.1. Defining Queries by Using
naively expectedthe old pennies to have a lower average mass due to wear and chipping. However, the averagemass is larger because of corrosion products, oil, grease or dirt.Additionally, a formal test for equal variances (shown below) finds sufficient evidence that thepopulations of old and new pennies do, indeed, have different variances. Page 8.838.4 Proceedings of the 2003 American Society of Engineering Education Annual Conference & Exposition Copyright 2003, American Society of Engineering Education T e s t f o r E q u a l V a r ia n c e s f o r M a s s