AC 2012-4360: IMPROVING UPON BEST PRACTICES: FCAR 2.0Dr. John K. Estell, Ohio Northern University John K. Estell is a professor of computer engineering and computer science at Ohio Northern Univer- sity. He received his doctorate from the University of Illinois, Urbana-Champaign. His areas of research include simplifying the outcomes assessment process, first-year engineering instruction, and the pedagog- ical aspects of writing computer games. Estell is an ABET Program Evaluator, a Senior Member of IEEE, and a member of ACM, ASEE, Tau Beta Pi, Eta Kappa Nu, and Upsilon Pi Epsilon.Dr. John-David S. Yoder, Ohio Northern University John-David Yoder received all of his degrees (B.S., M.S., and Ph.D.) in mechanical
AC 2011-472: OVERCOMING THE CHALLENGES OF IMPLEMENTINGTECHNICAL COMMUNICATION IN A CAPSTONE SENIOR DESIGNCOURSEG. Scott Duncan, Valparaiso University Assistant Professor of Mechanical EngineeringDr. Mark M. Budnik, Valparaiso UniversityJeffrey Will, Valparaiso UniversityProf. Peter E. Johnson, Valparaiso UniversityDr. Shahin S. Nudehi, Valparaiso University Page 22.1135.1 c American Society for Engineering Education, 2011 Overcoming the Challenges of Implementing Technical Communication in a Capstone Senior Design CourseAbstractNumerous publications have emphasized the importance of technical
AC 2012-3015: ROBOTIC FOOTBALL: AN INTER-UNIVERSITY DESIGNCOMPETITION EXPERIMENTDr. John-David S. Yoder, Ohio Northern University John-David Yoder received all of his degrees (B.S., M.S., and Ph.D.) in mechanical engineering from the University of Notre Dame. He is professor and Chair of the Mechanical Engineering Department at Ohio Northern University, Ada, Ohio. He has previously served as Proposal Engineer and Proposal Engineer- ing Supervisor at Grob System, Inc., and Software Engineer at Shaum Manufacturing, Inc. He has held a number of leadership and advisory positions in various entrepreneurial ventures. He is currently a KEEN (Kern Entrepreneurial Education Network) Fellow, and has served as a Faculty Fellow
. His research is in nonlinear vibrations as it applies to structural health monitoring, and assistive technology. He is currently working on grants related to teaching in STEM fields and laboratory curricular development and is active in developing international research opportunities for undergraduates.Dr. Deborah S Munro, University of Portland Deborah is an Assistant Professor of Mechanical Engineering and teaches statics, strength of materials, finite element analysis, biomechanics, automated manufacturing, CAD, and capstone design. She spent multiple years in the orthopedic medical device industry prior to joining academia.Dr. Shazib Z Vijlee, University of Portland Dr. Shazib ”Shaz” Vijlee earned BS and MS
Paper ID #12881A Transdisciplinary Approach for Developing Effective Communication Skillsin a First Year STEM SeminarDr. Jeffrey J Evans, Purdue University, West Lafayette Jeffrey J. Evans received his BS from Purdue University and his MS and PhD in Computer Science from the Illinois Institute of Technology. His research interests are in artificial intelligence for music composition and performance and adaptive computing systems, focusing on the effects of subsystem interactions on application performance. He is a member of the ASEE, ACM and a Senior Member of the IEEE.Prof. Amy S. Van Epps, Purdue University, West
Science, Thermodynamics, Manufacturing Engineering, and Technical Communication. His next stop was with Johnson Matthey Electronics/ Honeywell Electronic Materials where he was held positions in Technical Service, Product Management, Six Sigma, and Research & Development. He joined the Engineering and Design Department at EWU in 2010. He has published over 30 papers and book chapters and is inventor on a dozen patents and patent applications.Hani S. Saad, Eastern Washingotn UniversityJason K Durfee, Eastern Washington University Professor DURFEE received his BS and MS degrees in Mechanical Engineering from Brigham Young University. He holds a Professional Engineer certification. Prior to teaching at Eastern
area of expertise is in applying the knowledge base of human factors en- gineering to the design and operation of human-computer systems that involve rich interactions among people and technology. His research covers the entire spectrum of system design: from identifying the user needs to designing and developing systems that inform and motivate user behavior and empirically evaluating the efficacy of these interventions. He draws on qualitative and quantitative methodologies including ethnography, contextual inquiry, surveys and controlled behavioral experiments to understand how humans perceive, make sense of, and interact with complex human-machine systems.Mr. Jeff BertrandDr. Rebecca S. Hartley, Clemson University
accounting equation for this case. i.e. S& / S& − ( m& s ) / ( m& s ) − S& ? S& in out in out gen . CV (3) Again, assuming a steady state condition has arisen, this reduces to: S&1 ? m& ( s1 / s 2 ) − S& gen . (4) Where S&1 is the rate of entropy transport out of the control volume by virtue of the heat
: c ? 1.25 (5) dSolution of (4) and (5) results in: c ? 200 o andd ? 160 o (6)It can be easily shown that the angle, through which the coupler rotates when themechanism moves from the first toggle condition to the next toggle condition is: c /d ij ? ? 20 o (7) 2This is achieved through crank rotation of: s j ? c ? 200 o (8
18 Ph M ys at ic h s 1 1
FIGURE 2 – FINITE DIFFERENCE AND EXACT SOLUTIONNon-linear PendulumThe equation of motion for a simple pendulum is (see FIGURE 3): d 2s g - sin(s ) ? 0 dt 2 l (6)where g is the gravitational constant, l is the length of the pendulum and s is an angularcoordinate. Noting that g l has dimensions of frequency, one can introduce the dimensionlesstime: v ? ( g l )t , so that d dt ? (d dv )(dv dt ) ? ( g l )(d dv ) . Light Rigid Rod g
Page 23.1242.5readily available from each partial fraction. Symbolic calculations are used to simplify thealgebra and the numerical substitutions allowing the students to concentrate on the form of theGiven: y ( s) ( s + 50 ) The following transfer function: TF ( s) u ( s) 2 s + 12 ⋅s + 20Find: (A) The response y(t) to a unit step input using the method of partial fraction expansion. (B) The time y(t) will take to reach within 1% of the steady-state
Page 12.1274.2© American Society for Engineering Education, 2007 Service-Learning in Core Courses throughout a Mechanical Engineering CurriculumAbstractService-Learning (S-L) has been shown to be effective on a large number of cognitiveand affective measures for college students. S-L is a pedagogy in which student learningobjectives and real community needs are met in a credit-bearing course. In engineeringthe integration of S-L into any courses, much less existing core courses in a curriculumdoes not match the penetration in other disciplines. The Mechanical Engineering (ME)Department at the University of Massachusetts Lowell has incorporated S-L projects intocore courses so that every student has at least one
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
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
. 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
steam. Properties are calculated as a function of temperature and pressure. Theinterface allows users to call out temperature (T ) and pressure (p) explicitly by name or simplypass them in order like in a traditional function call. Here, we calculate the enthalpy (h) andspecific heat (c p ) of air at 450K and 1.47bar.>>> steam.h(T=450., p=1.47)2827.075794818073>>> steam.cp(450., 1.47)2.000229350330389>>> steam.cp()4.181097326774104In the last example, no arguments are given, so PYroMat defaults to standard values for tem-perature and pressure (300K, 1.013bar). The interested user can reconfigure those numbers. Allof the properties are standardized to a kJ, kg, s, K, bar system. These units were chosen to
can greatly improve students’understanding of thermodynamics by visualizing property relationships. As a highly visual andintuitive tool, property diagrams eliminate the time devoted to mastering steam tables. Afterteaching steam tables for multiple years within a year-long thermal-fluid sciences course andrecognizing the poor pedagogic utility, the steam tables were entirely replaced by thetemperature-entropy (T-s) diagram as the primary source for water thermodynamic properties.This paper discusses the implementation, challenges, and the outcomes of this introduction.Apart from developing instructions aligned solely to property diagrams, a number of visual toolswere identified, adopted, and developed to facilitate the transition. The
Thermodynamic properties of PropaneSteamProps.mcd Thermodynamic properties of water and moist airPhase Change SubstancesA consistent naming scheme was chosen for the phase change fluids. The function calls for R-22, ammonia, and propane begin with the variable to be determined, followed by an underscore,followed by the independent property(s), followed by a fluid identifier (R22, NH3, or C3H8),followed finally by the values of the independent property(s) in parenthesis. Figure 1 presentsthe format of function calls for the phase change substances. The functions require that allindependent properties be entered with the appropriate absolute units. a_bc XX (b, c) Returned
-equilibrium equation of the link about its other end. E In the hypothetical sub-mechanism, Figure 3, this means that B j is determined from the moment-equilibrium equation of link i about H E E E E ÂM js h ? Ri · B j - Rgi · fi - qi ? Ri e jsi · B j e j - Rgi e jsi · fi e ji i - q i ? Ri B j sin*s j / s i + - Rgi f i sin*i i / s i + - q i ? 0 (15) Therefore Page 13.101.8
time and effort to construct demonstration models for instructional purpose. It is our intentin this paper to describe the lever analogy method of analysis and to present a miniature‘cookbook’ of levers for various planetary arrangements. It has been our instructionalexperience that the use of this tool not only makes torque and speed calculations easy, but alsoimproves students’ ability to visualize the results and understand the effect of gear tooth ratios.2. Modeling ProcedureThe procedure of setting up a lever system analogous for planetary gear sets is: (1) replace eachgear set by a vertical lever; (2) rescale, interconnect, and/or combine levers according to the gearsets’ interconnections; and (3) identify the connections to the lever(s
eight independent reactions Page 11.65.3Water and R-134aA consistent naming scheme was chosen for the phase change fluids. The function calls forwater and R-134a begin with the variable to be determined, followed by an underscore, followedby the independent property(s), followed by a fluid identifier (H2O or R134a), followed finallyby the values of the independent property(s) in parenthesis. Figure 1 presents the format offunction calls for the phase change substances. The functions require that all independentproperties be entered with the appropriate absolute units. a_bc XX (b, c) Returned
Illustrator, Microsoft Word, Excel, Origin American c Society for Engineering Education, 2020 Paper ID #31061AWARDS • Chancellor’s Award at University of Wisconsin, Milwaukee • Texas A&M University Engi-neering Scholarship • Dean’s Honor List at Korea UniversityACTIVITIES/COMMUNITY SERVICE • Volunteer Judge at Texas Science and Engineering Fair • Trea-surer of International Christian Fellowship at Texas A&M University • Volunteer Teacher at Vision Ko-rean School in College station, TX • Volunteer Teacher at Saenal Night School in SeoulPUBLICATIONS 1. H. Kim, X. Huang, I. Guo, S. Cui, Z
. Figure 3. Block diagram and SIMULINK model for the 1DOF systemAssume the mass of a printed circuit board (“PCB”) board M is 25 gram and the spring constantK is 40 N/mm. The input half-sine function is defined by the JEDEC standard as peakacceleration A0 is 1500 Gs and time duration ϖ is 0.5 milliseconds. With these parameters definedin the MATLAB/SIMULINK model, the input pulse and system dynamic response for the outputdisplacement and acceleration are obtained in Figures 4-6. The horizontal axis is time (s) and thevertical axis is the input excitation corresponding to Gs, displacement (m), and acceleration (Gs),respectively. The output displacement oscillates up and down with the same peak value
displacementcharacteristics but change the design parameters including the radius of the cam base circleand/or roller radius. In the following, appropriate equations are introduced for the calculation of t for each type of the follower. Then, the required design conditions are suggested to preventundercutting.Flat face follower – For the case of flat face followers, the radius of curvature for each value ofcam rotation s is calculated from the following equation5,6: a t ? R0 - s - (1) y2where R0 presents the radius of the cam base circle, y is the cam angular velocity, and s and apresent
fatigue theory is very important to be developed in mechanical engineeringstudents. 1The fatigue strength or test data should be described by the random variables, that is, statisticalapproach. However, for undergraduate program, fatigue test data are typically described bydeveloping Stress (S) vs. average Cycles (N) to failure (S-N) curves. These curves are thefunctions of stress amplitude, mean stress and the average number of cycles at failure. Thefatigue strength of a component is significantly affected by inherent component defects andloading conditions. As such, the material strength design limit is reduced thru the application ofmodification factors, often linked with component stresses thru
) Amplifier output current (±50 mA max) Given Kq Servo-Valve Flow Gain (ft3/s/mA) Measured β/ Vt Hydraulic Oil Bulk Modulus (lb/in2)/ Calculated Volume of oil trapped between servo-valve control ports (in3) Kce Total Flow-Pressure Coefficient (in3/sec/psi) Calculated A Area of Cylinder Bore – Area of Cylinder Rod (in2) Measured Kamp Servo-Valve Amplifier Gain Given Kp Proportional Gain Input M Moving Mass (lb●s2/in
find the numerical solution directly from the aboveequation and initial conditions. Matlab code using Symbolic Toolbox and the response plot areshown in Figure 2. % Solve the ode and assign the solution to variable 'x' x = dsolve('D2x + 2*Dx + 5*x = 3','Dx(0) = 0','x(0) = 0','t') % Plot the response from 0 to 5 seconds ezplot(x, [0,7]) % Assign labels to axes and a title to the plot xlabel('Time (s)') ylabel('Response by dsolve') % Plot gridlines grid on % Define axis axis([0 7 0 0.8]); Figure 2 - Matlab code using Symbolic Toolbox and response plotingTwo approaches are introduced to the students to find the solution of an ODE in Simulink. Thefirst one is based on
daemon,# identified by the full daemon path listed below. Paste (Ctrl_v) the saved TEST-Code on this I/O Panel,# click Load and then Super-Calculate to recover the solution. You can email a solution in this manner.############################################################################################## Daemon Path: Test>Daemons>Systems>Open>SteadyState>Specific>RefrigCycle>PC-Model; Version: v-8.0bj04##--------------------Start of TEST-Codes----------------------------------------------------------------------------- States { State-1: H2O; Given: { p1= 12.5 MPa; T1= 550 deg-C; Vel1= 0.0 m/s; z1= 0.0 m; mdot1= 24.0 kg/s; }\ State-2: H2O; Given: { p2= 20.0 kPa; s2= "s1
Effect of Different Masses 12 9 (m/s) 8 (m/s) 10 loop loop 8 7 v v 6