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
and for the motion of a system of 1 or 2 rigid accelerations (linear and rotational) of 2 or 3 bodies moving in the plane. (Includes use of interconnected rigid bodies. P1.) R3 – Apply ode45 to solve equations of motion Supplemental Skills (must pass all R skills before S skills improve grade) S1 – Analyze oblique impact between two S1.1 – Analyze oblique impact between two rigid bodies. rigid bodies. S2 – Solve for the kinetics of mass flow S1.2 – Utilize principles of energy and systems. momentum to solve for the motion of a S3 – Determine the angular momentum of a system of 1 or 2 bodies. rigid body moving in 3D
- ing Education and the Algae Biomass Organization. Dr. Shuman served as Chair for the ASEE Energy Conversion and Conservation Division last year. She received a Dipl.Ing. degree in mechanical engineering from Belgrade University in 1992, an M.S.M.E. from the University of Washington in 1994 and a Ph.D. from the University of Washington in 2000.Dr. Gregory Mason, Seattle University Gregory S. Mason was born and raised in Spokane Washington. He received the B.S.M.E. degree from Gonzaga University in 1983, the M.S.M.E. degree in manufacturing automation from Georgia Institute of Technology in 1984 and the Ph.D. degree in mechanical engineering, specializing in multi-rate digital controls, from the University of
Career Guidance Short- & Long-Term Goals Parent & Family STUDENT-SPECIFIC BELIEFS Encouragement of activities Activity Choice & Expectations for Student s Opportunities to learn various Engagement Achievement skills Performance Specific Socialization Goals Reinforcement Patterns Perceptions of: Other Communications of Beliefs -- Student s Abilities -- Value of Various Skills -- Student s interest
mesmerizing fountain display. He has seen the fabulous Bellagio Fountains, and enjoys the interesting fountain in the McNamara Terminal of the Detroit Metropolitan Airport. He wants something that will be appropriate for his wilderness resort. After learning of your vast new knowledge of fluid mechanics, he has asked you to design a fountain. As a member of the National Fluid Power Association, Uncle Mort requires that one or more of the nozzles is controlled by a hydraulic system which will allow the nozzle(s) to move the water jet(s) in some sort of pattern. The water jet(s) from the movable nozzle(s) must be high enough pressure to allow for a sufficient water height. He wants this fountain to be an attraction for his customers
supportwas provided by the Role of Reflection in SoTL Faculty Learning Community program throughthe Indiana University-Purdue University Indianapolis Center for Teaching and Learning.References[1] A. R. Carberry, M. Siniawski, S. A. Atwood, and H. A. Diefes-Dux, “Best Practices for Using Standards-based Grading in Engineering Courses,” presented at the 2016 ASEE Annual Conference & Exposition, New Orleans, LA, USA, Jun. 26-29, 2016.[2] S. L. Post, “Standards-Based Grading in a Thermodynamics Course,” Int. J. Eng. Pedagogy, vol. 7, no. 1, pp. 173–181, Jan. 2017.[3] L. Nilson, Specifications Grading: Restoring Rigor, Motivating Students, and Saving Faculty Time. Sterling, VA: Stylus, 2014.[4] J. J. Polczynski and L. E. Shirland
] Parker, J. M., and Canfield, S. L., 2013, "Work-in-progress: using hardware-basedprogramming experiences to enhance student learning in a senior feedback controls lecturecourse," ASEE Annual Conference, Atlanta, GA.[3] Parker, J. M., Canfield, S. L., and Ghafoor, S. K., 2014, "Using hardware-basedprogramming experiences to enhance student learning in a junior-level systems modelingcourse," ASEE Annual Conference, Indianapolis, IN.[4] Candelas, F., Garcia, G. J., Puente, S., Pomares, J., Jara, C. A., Pérez, J., Mira, D., andTorres, F., 2015, "Experiences on using Arduino for laboratory experiments of automatic controland robotics," IFAC-PapersOnLine, 48(29), pp. 105-110.[5] Grover, R., Krishnan, S., Shoup, T., and Khanbaghi, M., 2014, "A
furtherFigure 6: The 30-day challenge problems helped me to understand the applicationof course topics to engineering practiceAppendix A: Three challenge problems from Class A Thirty-Day Dynamics Challenge Challenge Problem 2Projectile Motion and Impact: Just for fun, a golfer throws a golf ball horizontallythrough the air and watches it bounce again and again down a long straight concretepath. The ball is thrown horizontally from a height of h0 = 1.5 m with an initialspeed of V0 = 28 m/s. The coefficient of restitution between the golf ball and theconcrete is e = 0.92.(A) Determine the maximum vertical height the golf ball will reach after its third bounce, h3.(B) Determine a formula for the maximum
for Engineering Education, 2018 Two Approaches to Optimize Formula SAE Chassis Design Using Finite Element AnalysisAbstractThis paper documents two approaches used by undergraduate students to design and optimize asteel space frame chassis using Finite Element Analysis (FEA) for the Society of AutomotiveEngineers’ Formula SAE (FSAE) collegiate design competition. Junior level students inVehicle Design I used CATIA V5’s Generative Structural Analysis workbench to analyze theirindividual FSAE chassis designs. A tutorial is presented that allows a quickly modeled CADwireframe to be analyzed within CATIA using FEA with beam elements. Senior vehicle designstudents in a course titled Introduction to Finite Element
and basicmanufacturing processes. Industrial experience in the form of internship(s) is alsodesirable to appreciate the factors affecting the fuel economy.Literature and proposed topics of coverageCurrently, to the knowledge of the author, there seems to be no single textbook under thetitle or keywords on “Automotive Lightweighting Technologies” that is targeted forundergraduate and master students. However, material related to some or all topicscovered in the proposed course are available in different textbooks, short courses and inmany research papers. For example, Case Western University offers certificate program(LIFT Curriculum) that covers topics on lightweighting using polymers, additivemanufacturing and metals [2]. University of
results in lower performance averages by students compared to PSVT:R problems forthis population. It is expected, based on Reusch et al.’s results [22], that there is a higherdifficulty level on the MCT problems used. This, in turn, may have been reflected by themoderate increase in EDA when we consider dividing this value by the time expended on theMCT problem-set as can be estimated from the two Figure 3 graphs (e.g., 0.05microSiemens/minute for MCT). The preliminary results of this pilot study corroborate thesefindings by suggesting a higher normalized arousal (or mean range-corrected EDA/timed event)found in these types of problems compared to PSVT:R (0.13 microSiemens/minute) and Staticsproblems (0.01 microSiemens/minute) (Figure 3).Parallel
& Exposition, Seattle, Washington. 6. Hake, R. R. (1998). “Interactive-engagement versus traditional methods: A six-thousand- student survey of mechanics test data for introductory physics courses.” American journal of Physics, 66(1), p. 64-74.7. Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., and Wenderoth, M. P. (2014). “Active learning increases student performance in science, engineering, and mathematics.” Proceedings of the National Academy of Sciences of the United States of America, 111(23), p. 8410–8415.8. Beach, A. L., Henderson, C., and Finkelstein, N. (2012). “Facilitating change in undergraduate STEM education.” Change: The Magazine of Higher Learning, 44(6), p. 52-59.9
which the heat exchangers were to be tested is shown inFigure 2. Figure 2. Schematic of the wind tunnel to be used to test heat exchanger performance.Finally, the students were given the fan curve supplied by the manufacturer of the fans and anapproximation of the pump curve for the pump to be used to provide the heated water to the heatexchangers.The students were asked to provide the Solidworks file(s) for their heat exchanger along with areport detailing their design process and predicted heat exchanger performance. They were alsoasked to simulate the performance of their heat exchanger design at the conditions for the test(using the given water inlet temperature and fan and pump curves).This simulation included using correlations for
implementation of this new approach in a CIM course for one semester, thestudents’ surveys showed the strong interest in the subject in general especially the programmingrobot tasks. They were concerned less about the old robot hardware, but enjoyed programming therobot through MATLAB. We believed that this old robot, provided with our new softwarecompatibility, is still capable of providing students a decent source to improve their robotprogramming skill.References[1] D. A. Kolb, Experiential learning : experience as the source of learning and development. Englewood Cliffs: Prentice-Hall, 1984.[2] J. L. Newcomer, “An Industrial Robotics Course for Manufacturing Engineers,” 2016 ASEE Annu. Conf. Expo. Proc., Jun. 2016.[3] S. Das, S. A
Covert Visual Systems: A pilot study, SW Regional ASEE Conference, Provo, UT, Sept. 2017. 4. Linsey, Julie S., K. L. Wood, and A. B. Markman. "Increasing innovation: presentation and evaluation of the wordtree design- by-analogy method." ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, New York, 2008. 5. Helms, Michael, Swaroop S. Vattam, and Ashok K. Goel. "Biologically inspired design: process and products." Design studies Journal, Design Research Society, Vol 30.5, 606-622, 2009. 6. Zahedi, Mithra, and Lorna Heaton. "Mind Mapping as a Tool, as a Process, As a Problem/Solution
biomedical engineering capstone design sequence at Rose-Hulman Institute of Technology. Glen’s educational research interests include student learning styles, increasing student engagement with hands- on activities, and more recently, creativity & design. He has received an NSF CAREER award and served as a Fellow at the National Effective Teaching Institute. c American Society for Engineering Education, 2018 A Foundational Engineering Science Course and Its Impact on Those Who Teach ItCurricular innovations are difficult to implement and sustain. Many innovations were developedthrough the NSF-funded Engineering Education Coalitions in the early 1990’s
deployed about a dozen more improved LynchBots to Iraq. His team also assisted in thedeployment of 84 TACMAV systems in 2005. Around that time he volunteered as a science advisor andworked at the Rapid Equipping Force during the summer of 2005 where he was exposed to a number ofunmanned systems technologies. His initial group composed of about 6 S&T grew to nearly 30 between2003 and 2010 as he transitioned from a Branch head to an acting Division Chief. In 2010-2012 he againwas selected to teach Mathematics at the United States Military Academy West Point. Upon returningto ARL’s Vehicle Technology Directorate from West Point he has continued his research on unmannedsystems under ARL’s Campaign for Maneuver as the Associate Director of Special
Strongly Agree Q12. I am able to develop my active learning attitude. Strongly Disagree 1 2 3 4 5 Strongly Agree Q13. I am able to enhance my lifelong learning skills. Strongly Disagree 1 2 3 4 5 Strongly Agree Q14. I have positive working relationships with faculty mentor (s) and peers. Strongly Disagree 1 2 3 4 5 Strongly AgreeIt is important to note that the future iterations of the survey will include a modified version ofthese questions to incorporate the role of the program in development of the listed skills. Inaddition, the future survey will be administered at the beginning and at the end of the SUREprogram to
Training in Optics and Photonics, 2009.[8] J. D. Wheadon and N. Duval-Couetil, “Analyzing the expected learning outcomes of entrepreneurship business plan development activities using Bloom’s taxonomy,” in Proceedings of the ASEE 2013 Conference, 2013.[9] R. L. Pimmel, “Student learning of criterion 3 (a)-(k) outcomes with short instructional modules and the relationship to Bloom’s taxonomy,” J. Eng. Educ., vol. 92, no. 4, pp. 351–359, 2003.[10] W. Hussain, M. F. Addas, and F. Mak, “Quality improvement with automated engineering program evaluations using performance indicators based on Bloom’s 3 domains,” in 2016 IEEE Frontiers in Education Conference (FIE), 2016, pp. 1–9.[11] S. M. Brookhart and
student t-test does not indicate the reason(s) the alternativehypothesis must be accepted. It must be admitted, there could have been other factors involvedthan the present study reveals.Individual SuccessesMcGuire [1] reported several individual success stories. These stories highlight students whohad not learned how to study and learn until metacognition was introduced to them. Then, whenthese students understood how to succeed, they did so, sometimes spectacularly. Similar storieswere searched for in the present study.Criteria for defining success is subjective. For this section, a “success story” was defined as astudent earning a failing score on the first exam (before the lectures on metacognition) butearning a satisfactory (C or better
peers who completed the step-by-step version (p<0.05, d=0.32). Students who are generally weaker on this material, as judged bytheir eventual overall score in this course, tended to be helped more by the open-ended version ofthe lab than students who are generally stronger on this material. This outcome suggests thathaving to design their own experimental protocol may make students more likely to understandor remember all steps involved in particular data reduction tasks. When possible, instructorsshould avoid giving students unnecessarily detailed instructions.References[1] J. S. Bruner, “The Art of Discovery,” Harvard Educational Review 31 (1961): 21–32[2] W. S. Anthony, “Learning to discover rules by discovery,” Journal of
curriculum to conformto what one may imagine to be on the FE.References [1] NCEES, “Using the Fundamentals of Engineering (FE) examination as an outcomes assessment tool,” NCEES, Tech. Rep., 2014. [2] S. F. Barrett, J. W. Steadman, and D. L. Whitman, “Using the Fundamentals of Engineering (FE) examination as an outcomes assessment tool,” NCEES, Tech. Rep., Feb. 2016. [3] NCEES, “Fundamentals of Engineering (FE) Mechanical CBT exam specifications,” NCEES, Tech. Rep., 2013. [4] N. Nirmalakhandan, D. Daniel, and K. White, “Use of subject-specific FE exam results in outcomes assessment,” Journal of Engineering Education, vol. 93, no. 1, pp. 73–77, 2004. [5] G. Bull, M. Armstrong, and A. Biaglow, “Using the Fundamentals of Engineering exam to
) Andragogy's transition into the future: Meta-analysis ofandragogy and its search for a measurable instrument. MPAEA Journal of Adult Education. 38(1):p. 1-11.13 Caruth, Gail D. "Meeting the Needs of Older Students in Higher Education." Online Submission1.2 (2014): 21-35.14 J. S. Eccles and A. Wigfield, “Motivational Beliefs, Values, and Goals,” Annu. Rev. Psychol.,vol. 53, pp. 109–132, 2002.15 Arnett, J.J. (2000) Emerging adulthood. A theory of development from the late teens throughthe twenties. The American psychologist. 55(5): p. 469-80.16 Arnett, J.J. (2004), Emerging adulthood: The winding road from the late teens through thetwenties, New York; Oxford: Oxford University Press.17 Arnett, J.J. (2007), Adolescence and emerging adulthood: A
in any mechanical engineering program across theworld. This paper presents three different approaches taken by faculty at three different regionaluniversities in the United States with similar small class size, low student-teacher ratio, andcomparable cost of attendance. We examine the pedagogical approach, course content, desiredoutcomes, and assessment of outcomes at three different universities to identify the desiredbalance between traditional, analysis-based outcomes and those targeted towards practice-basedskills.IntroductionA course in the design of machine elements has been a part of most mechanical engineeringcurricula since the 1950’s. The content of this course has its roots in academic research in solidmechanics, mechanisms and
SBxFigure 2: Projectile motion archetypeProjectile motion is confined here to two-dimensions for simplicity as not much morefundamental complexity is gained from including a third dimension to the particle’s motion. Themotion of the particle is constrained to have constant velocity and solutions are usually foundusing three classic kinematics equations. The problem description below shows three points ofinterest in the trajectory, A, B, and C. Each point can have specified its position, S, or velocity,V. Since acceleration in projectile motion is constant, only two constant values, the x- and y-components, are necessary to define the acceleration at all points along the trajectory. Ifadditional variables for the time of flight between each point
,Albuquerque, New Mexico, U.S.A., June 24-27, 2001, pp. 6.84.1-6.84.7.[5] R. Bannerot, "Ac 2008-809: Hands-on projects in an early design course," in Proceedings ofthe 2008 American Society for Engineering Education Annual Conference & Exposition,Pittsburgh, Pennsylvania, U.S.A., June 22-25, 2008, pp. 13.663.1-13.663.34.[6] S. Daniels, B. Aliane, J. Nocito-Gobel, J., and M. Collura, "Project-based introduction toengineering - a university core course," in Proceedings of the 2004 American Society forEngineering Education Annual Conference & Exposition, Salt Lake City, Utah, U.S.A., June 20-23, 2004, pp. 9.1020.1-9.1020.13.[7] G. Sullivan, and J. Hardin, "Integrating ’Design challenges’ into a freshman introduction tomechanical engineering
pressure gradients plus gravitational forces plus shearforces. This was an ambitious topic to tackle for both students and teacher (as well ascartoonist). It may not have been completely successful, but the earlier two cartoons helped toset the stage for this more complex representation. Figure 8: Navier-Stokes equation.Many students will recall the apocryphal story of Sir Isaac Newton “discovering” gravity whensitting beneath an apple tree and being struck on the head by a falling apple. This scene is shownin Figure 9 and used to represent the conversion of potential energy into kinetic energy. Adultswho grew up in the 1970’s will remember the Schoolhouse Rock cartoon segment “A Victim ofGravity” which contains the
setting clear expectations, students feel that this assignment is achievableand therefore increases their sense of competence and expectancy.ConclusionOverall, this assignment helped students make a connection between the highly theoretical topicsof the course to real-world applications. The assignment is low-stakes and is not intended to takemore than an hour to complete. The students in the course have achieved the learning objective ofthe assignment. With the presentation component, they are exposed to their own application aswell as the applications selected by their classmates.References[1] S. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett, and M. K. Norman, How Learning Works: Seven Research-Based Principles for Smart Teaching.[2
in an HVAC duct, and compressed natural gas in a supply line. The equipment available to you is the pipe friction demo (PFD), which you may recall from MC311. A description of the PFD is given in Section 1.4. The equipment will be provided but you must develop the experimental procedure. You will determine whether it is possible to reliably and accurately use the PFD (the model) to predict the pressure drop in real piping systems (the prototypes). First you should determine whether you can achieve full similarity between the model and prototype(s). Then you should assess the accuracy of your experiment by comparing it with the known solution described in Section 1.3. The variable of
such projects may be their complexity and possible unrealisticexpectations from the project clients. These potential disadvantages must be considered andproactively addressed by the academic advisor(s) when interacting with the clients and whenguiding the students along their design process.References:1 U.S. Department of Energy, “Hydropower Vision: A New Chapter for America’s 1stRenewable Electricity Source”, https://energy.gov/eere/water/articles/hydropower-vision-new-chapter-america-s-1st-renewable-electricity-source