Paper ID #21827Teaching Geometric Dimensioning and Tolerancing Concepts Using 3-D Com-puter Models and 3-D Printed PartsDr. Oziel Rios, University of Texas, Dallas Dr. Oziel Rios earned his Ph.D. in mechanical engineering from the University of Texas at Austin in 2008 where his research focused on design of robotic systems with an emphasis on kinematic and dynamic modeling for analysis and control. Dr. Rios teaches the first-year and CAD courses in the Mechanical Engineering Department at the University of Texas at Dallas. Dr. Rios has also taught kinematics and dynamics of machines and graduate-level CAD courses. Dr
of Polymer Nanocomposites With In-Situ Strain Sensing Capability, in ASME 2018 International Mechanical Engineering Congress and Exposition, 2018, pp. V012T11A007-V012T11A007: American Society of Mechanical Engineers.[10] M. Charara, M. Abshirini, M. C. Saha, M. C. Altan, and Y. Liu, Highly sensitive compression sensors using three-dimensional printed polydimethylsiloxane/carbon nanotube nanocomposites, Journal of Intelligent Material Systems and Structures, p. 1045389X19835953, 2019.[11] T. Serra, J. A. Planell, and M. Navarro, High-resolution PLA-based composite scaffolds via 3-D printing technology, Acta biomaterialia, vol. 9, no. 3, pp. 5521-5530, 2013.[12] X. Tian, T. Liu, C. Yang, Q. Wang, and
Online Content, Flipped Classrooms, and MOOCs The first use for many Lightboard instructors, and the one that requires the least amount of Page 26.325.4preparation, has been simply working out example or homework problem. This has been well accepted by faculty as they already have example problems prepared, and students enjoy them because they may watch the problems repeatedly online with the ability to pause and rewind. Figure 3 shows an instructor working through a technical buckling
improved.AcknowledgementsThe authors would like to thank the Mechanical Engineering Department at South Dakota StateUniversity and the South Dakota Space Grant Consortium (funded by NASA) for providingfinancial support for this project.References[1] J. E. Mills and D. F. Treagust, "Engineering education—Is problem-based or project- based learning the answer?," Australasian Journal of Engineering Education, vol. 3, no. 2, pp. 2-16, 2003.[2] M. J. Prince and R. M. Felder, "Inductive teaching and learning methods: Definitions, comparisons, and research bases," Journal of Engineering Education, vol. 95, no. 2, pp. 123-138, 2006.[3] W. H. Wood, "Unifying design education through decision theory," International Journal of Engineering
Paper ID #27189Design and Validation of a Bracket using a Laser Scanner, Topology Opti-mization, and a 3-D PrinterDr. Luis E. Monterrubio, Robert Morris University Luis E. Monterrubio joined the Robert Morris University Engineering Department as an Assistant Pro- fessor in the Fall of 2013. He earned his B.Eng. from the Universidad Nacional Aut´onoma de M´exico, his M.A.Sc. from the University of Victoria, Canada, and his Ph.D. from the University of Waikato, New Zealand. All degrees are in Mechanical Engineering and both M.A.Sc. and Ph.D. studies are related with vibrations. After his Ph.D. he worked at the University of
the sustainable energy area. He has a Ph.D. in Mechanical Engineering from the Florida International University. He has been member with prestigious Honor Societies such as Tau Beta Pi, Phi Kappa Phi, Sigma Xi and Golden Key. He has published number of conference, Journal papers and book chapters in energy and sustainability area. He is a reviewer of several Journals in energy efficiency area. He is a member of the Editorial Board of ASME Early Career Technical Journal. Raised in Tehran, Iran, Dr. Rayegan now lives in Houston. He has served as an instructor at Semnan University, Iran for 5 years. He was selected as the best teacher of the Mechanical Engineering Department by students during 2002-2003 academic year
Division GPA includes the courses described in Table 1 andthe ME technical electives that were taken. Figure 3 plots ME Lower Division GPA, ME UpperDivision GPA, and University GPA as a function of SAT/ACT math score. Figure 3: ME Lower Division GPA, ME Upper Division GPA, and University GPA as a function of SAT/ACT math score.The correlation between ME Lower Division GPA and SAT/ACT math score is 0.40 with thecorrelation between ME Upper Division GPA and SAT/ACT math score being 0.42. Thestrongest correlation is between University GPA and SAT/ACT math score with a correlationcoefficient of 0.50.Another pre-college measure of performance that was examined was high school GPA. The highschool GPA was compared with ME
first opportunity to introduceMechanical Engineering students to those concepts as they apply to the major. The Bilge Pumpproject has developed into an embedded system, and while the students are fabricating the pumpcomponents and becoming familiar with programming and using the Arduino, we also introducethem to the concept of cyber-physical systems.BIBLIOGRAPHY 1. “Introduction of Project-based Learning into Mechanical Engineering Courses”, Sven K. Esche, Hamid A. Hadim, 2002 ASEE Annual Conference 2. A Design and Assessment-Based Introductory Engineering Course* STEVEN M. NESBIT, SCOTT R. HUMMEL, POLLY R. PIERGIOVANNI and JAMES P. SCHAFFER, International Journal of Engineering Education, vol 21, no. 3, pp 434-445, 2005 3
variety ofaesthetic issues in the form of practical and creative assignments. The course consists oflectures on photography skills, fluid physics, visualization techniques, critique sessions, and aguest lecture. Assignments consist of images paired with written technical reports, and self-reflection sessions to learn "effective communication" skills. Other course objectives evaluatedthrough students’ assignments and projects are "creative thinking" and "integrative thinking".Some samples of student works are presented. This course proved to be very successful inattracting all students (male and female) in both engineering and non-engineering majors.IntroductionThere has been a great interest in bridging the science and art in recent. Three
internal or external, and incompressible or compressible. Which flowsshould be analyzed? With what methods?Turning to the FE Reference Handbook for more detail is unsatisfactory because it does notdescribe several topics; others are addressed only briefly or in sections of the handbook for otherdisciplines. There is not a chapter on Computational Tools in the handbook, spreadsheets are Table 3: FE Mechanical Exam Specifications for Fluid Mechanics A. Fluid properties B. Fluid statics C. Energy, impulse, and momentum D. Internal flow E. External flow F. Incompressible flow G
unfavorable. The airfoil is said to haveundergone stall, and the critical angle of attack at which this happens is known as the stall angle.Figure 3 shows the variation of lift coefficient with angle of attack for a Clark-Y airfoil. Thecritical angle of attack is around 12 degrees. The above background information forms theempathize stage of the problem solving cycle and was given during both the traditional FluidMechanics lecture and independent study session. The student was asked to refer to other booksand articles to further strengthen the basic concepts. 1.2 1 Lift Coefficient 0.8
surfacestrategy) intended to measure deep and surface dimensions of student approach to learning.Participants responded using a 5-point Likert-type scale ranging from 1 (being ‘rarely true of me’)and 5 (being ‘always true of me’). The R-SPQ-2F is a revision of the earlier 43-item Study ProcessQuestionnaire SPQ. Internal reliability coefficients for study processes scales used in this study arereported in Table 2.Achievement Goals Questionnaire (AGQ): Students’ achievement goal orientation was measuredusing the 3 x 2 version of the AGQ. The instrument comprises of 18 items that measure threedimensions (Task, Self, and Other) of students’ achievement goal orientation. Items on the taskorientation measured student mastery-focused goals (6 items). Self
postdoctoral fellow in the area of bioacoustics. He teaches dynamics, machine design, numerical methods and finite element methods. He has work for the automotive industry in drafting, manufacturing, testing (internal combustion engines—power, torque and exhaust emissions, vibration fatigue, thermo-shock, tensile tests, etc.), simulations (finite element method), and as a project manager (planning and installation of new testing facilities). c American Society for Engineering Education, 2018 Good Practices in Finite Element Method with a Frequency Analysis ExampleIntroductionThe finite element method (FEM) allows engineers to solve different types of problems
,presentations and simulation assignments. The three modeling and simulation assignments were: (1) Heat Radiation 1 d; (2) WaterPurification Reactor, and (3) Free Convection in a Water Glass. These were assigned for out-of-classroom individual work. The objective in each was to produce a working COMSOL file andassociated technical report for upload to the Blackboard®. At the beginning of the semester,instructions were given as to how to: access software either in the computer laboratory or on apersonal computer; download step-by-step tutorials; create mph files and brief technical report;and upload documentation to Blackboard®. Each simulation topic was also addressed in class asappropriate. For example, the Heat Radiation simulation was tied to
design of Micro Air Vehicles, development of innovative de- sign methodologies and enhancement of engineering education. Dr Jensen has authored over 100 refereed papers and has been awarded over $4 million of research grants.Dr. Kristin L. Wood, Singapore University of Technology and Design (SUTD) Dr. Kristin L. Wood is currently a Professor and Head of Pillar, Engineering and Product Development (EPD), and Co-Director of the SUTD-MIT International Design Center (IDC) at the Singapore University of Technology and Design (SUTD). Dr. Wood completed his M.S. and Ph.D. degrees in the Division of Engineering and Applied Science at the California Institute of Technology, where he was an AT&T Bell Laboratories Ph.D
divided into a lot of small divisions (finite elements).(3) Each element has several nodes along its edges or on its outer surfaces. The adjacent finite elements are joined by the shared nodes. Therefore, the object is replaced by or represented as an assembly of finite elements connected at the shared nodes. 3(4) Approximate deformation or shape functions inside a finite element between nodes are hypothesized and then determined in terms of nodal deformations.(5) Different techniques such as the method of least squares and the minimum potential energy principle are used to make the errors minimum and thus to convert a continuous physical problem (an object) into a set of linear
. Major topicsincluded electronic interface between mechanical world and computer software, actuators, sensors,common mechanical and electrical applications, system response, integrated circuits andmicrocontrollers for embedded systems. It was a lecture-based course of 3 credit hours, but thecourse also included 6 lab practices. Hence, the students needed to build hardware and performcomputer programming to run the hardware for their lab sessions. In addition, the instructorprovided relevant hardware devices to the student groups so that the students could get someopportunity to perform some classroom activities through building physical mechatronic devices.Sometimes, the instructor also demonstrated various pre-built mechatronic systems to the
course of 3 credit hours, but the course also included6 lab practices. Hence, the students needed to build hardware and perform computer programmingto run the hardware for their lab sessions. In addition, the instructor provided relevant hardwaredevices to the student groups so that the students could get some opportunity to perform someclassroom activities through building physical mechatronic devices. Sometimes, the instructordemonstrated various pre-built mechatronic systems or commercially available mechatronicsystems such as a robotic system to the students as a part of his/her instruction. For this course,student outcomes were evaluated through assignments, periodical tests, lab reports, final tests,design projects, etc. This course and
1evaluating an open-ended laboratory or design of experiment. Pape’s [2] methodology was to introducesix cookbook labs, then move to two-week open ended labs building upon skills, and culminated with afour week experimental design laboratory where students formulate their own problems, elect andmanipulate the equipment, execute the experiment, and then write a technical lab report. Anagnos et al[3] refined a general process developed from Du et al. [9] on how a student should design anexperiment starting with defining goals and objectives, conducting background research, selectingvariables, describing the experiment protocol, selecting proper ranges for independent variables, anddetermining the proper number of data points. Sawyers and Marquart’s [4
, health and safety, manufacturability and sustainability;and (h) the board education necessary to understand the impact of engineering solution in aglobal, economic, environmental, and social context.To accommodate industry needs, and respond to ABET requirements, many institutions havecreated their ways to increase the level of education about sustainable engineering throughmultiple different ways. For example, University of Texas, Arlington integrated sustainableengineering education throughout the “Engineering Sustainable Engineers” program [2]; Theyalso created an internship program to provide students an opportunity to be educated aboutsustainability [3]; University of Colorado, Boulder introduced the first-year civil engineeringstudents to
with a power assist robot in harmonic motion: analysis of human features and object motions for control modification,” in Proc. of 2010 IEEE International Conference on Mechanical and Electronics Engineering, 1-3 August, 2010, Kyoto, Japan, Vol.1, pp.290-295.35. S. M. M. Rahman, R. Ikeura, H. Sawai, “Analysis of weight perception, load forces, and objects’ motions in lifting objects with a power assist robot system to modify the control,” in Proc. of 2010 IEEE International Conference on Mechanical and Electronics Engineering, 1-3 August, 2010, Kyoto, Japan,Vol.1, pp.261-266.36. S. M. M. Rahman, “Bioinspiration in affective motion planning of an anthropomorphic robot for affect-based human-robot collaborative manufacturing
”, International Journal of Technology and Design Education, 13, 273-288, 2003.[5] Chua, K.J., Yang, W.M., and Leo, H.L., “Enhanced and conventional project based learning in anengineering design module”, International Journal of Technology and Design Education. Vol. 24, Issue4, pp. 437-458, November 2004.[Sixty S. Redkar, “Teaching Advanced Vehicle Dynamics Using a Project Based Learning (PBL)Approach”, Journal of STEM Education: Innovations and Research; Vol. 13, Iss. 3, pp. 17-29, 2012. [7] E. Sokic and M. Ahic-Djokic, "Simple Computer Vision System for Chess Playing RobotManipulator as a Project-based Learning Example", IEEE International Symposium on Signal Processingand Information Technology 2008. pp. 75-79, 2008.[8] Krystian Radlak, Marcin Fojcik
FEAsimulation of fatigue life and the fatigue life test results. Each team was required to develop aformal laboratory report which was submitted for grading.3. Implementation, direct observations, and class survey resultsThe proposed integrated active learning approach was successfully implemented over the span oftwo weeks utilizing 4 lectures, 3 homework assignments and 2 laboratory sessions in the 2017spring semester.A: Observations on Exposure one: lecturing and homework assignmentThru direct observation and discussion with students, it appeared they just treated the fatiguetheory like other theories they had studied in other classes, expecting the theoretical calculationsto match exactly with the experimental results. They did not grasp that actual
the Call at the homeinstitution of these authors.References[1]. R. Pekrun and L. Linnenbrink-Garcia, Emotions in education: Conclusions and futuredirections. In R. Pekrun & Linnenbrink-Garcia, L. International handbook of emotions ineducation, pp.659-675, New York, NY: Taylor & Francis, 2014.[2]. R. Pekrun, The Control-Value Theory of Achievement Emotions: Assumptions,Corollaries, and Implications for Educational Research and Practice. Educational PsychologyReview, vol. 18, no.4, pp. 315–341, 2006.[3]. M. Lewis, J.M. Haviland-Jones, and L. Barrett, Handbook of emotions (3rd edition). NewYork, NY: Guilford Press, 2008.[4]. P.R. Kleinginna and A. M. Kleinginna, “A categorized list of emotion definitions, withsuggestions for a consensual
and Students design a CAD model of a vehicle fabricate a vehicle chassis. and fabricate a scale model of the vehicle. Students use FEA to analysis chassis frame. 3. Calculate weight transfer and estimate tire Students demonstrate calculations on grip levels based on chassis parameters. worksheets. 4. Demonstrate how to design a vehicle Students create kinematic models of the suspension system. suspension system and integrate the resulting suspension design into their vehicle models. 5. Calculate loads on suspension Student demonstrate
“practicing on your own” is characterized as helpful in more than 75 percent of cases, however, whenstudents asked how much time they spend on that activity (shown in Figures 2 and 3) in both courses,around 40 percent report “never” or “sometimes”. In Computer Aided Engineering course, however, wefind a weaker correlation between average engagement of activity and it’s helpfulness with PearsonCorrelation Factor of 0.45, thus unable to reject the null-hypothesis (p-value is 0.4391). Question: What activities have led you to the outcome achievement? Other Live sessions Discussion forum on Piazza Teamwork Practicing on your own time Quizzes
entire SUNY system. He has been twice elected as a member of the ASME Mechanisms and Robotics committee and served as the Program Chair for the 2014 ASME Mechanisms and Robotics Conference, as the Conference Chair for the 2015 ASME Mechanisms and Robotics Conference and has served as symposium and session chairs for many ASME International Design Engineering Technical Conferences. He was the general Conference Co-Chair for the 2016 ASME International Design Engineering Technical Conferences (IDETC/CIE). He has won two SUNY Research Foundation Technology Accelerator Fund (TAF) awards, which helped bring a multifunctional Sit-to-Stand assistive device ( http://www.mobilityassist.net ) to the market. The device won
Science Foundation’s Division ofUndergraduate Education under the IUSE program through grant #1821578, with past supportfrom NSF IUSE 1432674, and a WSU Graduate School Research Assistantship plus feedback fromundergraduates about evaluation of questions. Past involvement of Arshan Nazempour was criticalin initial question development that formed a foundation for some of the items in the question bankstrategy. References1. Beheshti Pour, N., D. Thiessen, and B. Van Wie, Improving student understanding and motivation in learning heat transfer by visualizing thermal boundary layers. International Journal of Engineering Education, 2018. 34(2(A)): p. 514-526.2. Brown, S., et al., Effectiveness
following fundamental aspects of FEA through this project: Using consistent units. Building geometric models. Selecting proper element types. Defining material properties, real constants and cross section properties. Meshing the geometric model. Applying constraints and loads. Solving the FE model. Post-processing the FE results. Students compare their FE results to those derived from hand calculations, as shown in Table1. The FE and analytical values agree well. This project helps students realize that FEA is anefficient analysis method and has been a powerful tool in machine design.Table 1 Comparison of the resultant internal forces in all members. Truss Member AB AC BC BD CD CE
program.According to Kolb [1], students learn best if they are exposed to a four steps/axes learningcycle/spirals, namely, 1- experiencing (concrete experience), 2- watching (reflective observation),3- thinking/modeling (abstract conceptualization), and 4- applying/doing (active experimentation).Various engineering education programs, such as mechanical, industrial, manufacturing, and civilengineering, adopted this learning cycle into their curriculum [2]–[6]. Many educational institutions have implemented robots of some kind, e.g. industrial robotarms, mobile robots, educational robot kits, etc. to support their science and engineering program[2]–[4]. Laboratory exercises and tutorials, educational robotics projects, and open-sourcesoftware and