,” Proceedings of the 2002 ASEE Annual Conference.[5] Ziegler, W., 2007, “Simulation And Animation Of Engineering Systems: No SpecializedSoftware Or Programming Required,” Proceedings of the 2007 ASEE Annual Conference andExposition.[6] Hoorfar, M., Najjaran, H., and Cleghorn, W., “Simulation and Animation Of MechanicalSystems To Enhance Student Learning,” Proceedings of the 2002 ASEE Annual Conference.[7] Hoorfar, M., Najjaran, H., and Cleghorn, W., 2003, “Simulation and Animation OfMechanical Systems To Enhance Student Learning,” J. Computers in Education, Vol. XIII,Number 1, January-March.[8] Stanley, R., 2010, “A Way to Increase the Engineering Students’ QualitativeUnderstanding of Particle Kinematics and Kinetics by Utilizing Interactive
the inclusion of animated pedagogical agent will add the affectivecomponents to the e-Lecture. A literature review25-30 suggested that animated pedagogical agent Page 11.478.3establish social collaboration with learners and facilitate learning.Table 1: A timeline sampling of e-Learning digital content using ICT in teaching Structural Mechanics and Numerical Analysis. e-Learning Digital Content Timeline Area e-Content e-Lecture e-Assessment e-Computation e-Simulation Finite Element
matrix. Then the m-file saves these three variables , , and , into a “struct” variable. For example, for link 1,we can have >s1=struct(„F1‟, F1, „V1‟, V1, „C1‟, C1);Every link or part in the robot model will be represented using one “struct” variable. All “struct”variables will be saved into a MAT-file. >save(„your_robot_data.mat‟, „s*‟);Now this MAT-file can be loaded in the main simulation file and a “patch object” can be createdcorresponding to each link using the Matlab command “patch”. For example >L1=patch(„faces‟, s1.F1, „vertices‟, s1.V1(:, 1:3));The patch object will be used for computer visualization in Matlab environment. In the next fewsteps, one can modify the value of vertices by applying rotation/translation
i =1 where Ni and Nj refer to the unknown molar quantities of reactant i and product j, respectively. Nis the total number of moles in the system and P is the pressure. One can see that the solution to atypical combustion problem can quickly become complicated. For a µ number of productsspecies nj given in equation (3), µ + 1 number of equations are required to solve the system forthe nj values and T2. Also, for number of atoms, there are an additional µ equilibriumequations that must be solved. Rather than relying on Kp tables and solving simultaneous sets ofequations by hand, computer algorithms are the natural choice to solve these large sets ofequations. A number of numerical calculators are available today that directly
investigate the effect of slantangles (25 and 0 degrees), effect of meshes (coarse and fine) on simulation results by comparingwith experimental data. Students will use post-processing tools (streamlines, velocity vectors,contours, x-y plots, streamlines, animations, and tables) to visualize and analyze the mean andinstantaneous flow fields and compute the shedding frequency (Strouhal number). Students willanalyze the differences between CFD and EFD.These four projects were assigned as term project to students. Each project was divided andassigned to two or three groups with each group working on one part. The submission of theproject was also divided into five different phases, including deadlines for project proposal,geometry generation, mesh
analysis that may include fixed, running cost, amortized cost, unit cost, and other economic considerations, (iv) describe the fabrication/Assembly/Simulation/Testing of the Model or Prototype, and (v) document the physical or computer model, test results, and design verifications.6. Ability to provide appropriate discussion, conclusions and recommendations This performance criterion is assessed by determining how well students are able to clearly (i) summarize the goals, Objectives, and indicate whether they were met, (ii) summarize constraints and codes and indicate whether they were met, and (iii) provide logical conclusions and recommendations (including strengths and weaknesses).Performance Criteria for Outcome Group 8Outcome
(IMM) and Music in the same class. It isa project-oriented course that fosters critical thinking, creative problem-solving, andcomputational thinking skills through an open-ended team project requiring the synthesis ofknowledge in all four core disciplines. Students work collaboratively to design and developinnovative robotic and graphical conducting systems that can direct an orchestra. Topics taughtinclude robotics, visual music, abstract animation, computer vision, algorithms, data processing, Page 15.166.2music conducting, and project management.This course was offered in the semester of Fall 2009 for the first time. It is a cross-listed
Paper ID #7996From Black boards to Digital boards: Students and Professors experienceChallenges and RemediesDr. Zahra Shahbazi, Manhattan College Zhahra Shahbazi is as an assistant professor of Mechanical engineering at Manhattan College. She earned a B.S. degree from the University of Tehran (mechanical engineering), M.S. from Amir Kabir Univer- sity of Techonology (biomedical engineering) and a Ph.D. degrees from the University of Conecticut (mechanical engineering). She also received a certificate in college instruction from the University of Connecticut. Her current research involves modeling and simulation of protein
systems available that provide extensive simulation andanalysis capabilities,16–20 none provide true synthesis capabilities that would enable designers toinnovate machines at a fundamental level. Autodesk’s Force Effect Motion21 is one of the few mo-bile app, which provides simulation capabilities for N-bar linkages. A detailed review of the stateof the art in Computer Aided Mechanism Design can be found in Chase et al.22 and is summarizedin Purwar et al.23 MotionGen24 (http://www.motiongen.io) is a planar four-bar linkage simulation and syn-thesis app available for download for free at both Google Play–25 and Apple’s iTunes–26 Stores.An early version of the app was presented in Purwar et al.,27 which details its functions and fea-tures. This
instructions and software- sometimes with the use of multimedia(hypertext, sound, animation and simulation) have been widely used to facilitatethermodynamics learning. Cobourn and Lindauer3 and Ngo and Lai40 stated that students haveresponded favorably to their use of electronic media. Web-based modules, when interactive andvisually appealing with animations and simulations, captured the attention of the wire generation,Ngo and Lai.40The use of various communication technologies for on-line offering of a thermodynamics coursewas described by Hall et al.41,42 Results showed that students relied heavily on the instructor toshow them how to solve problems. Stanly and DiGiuseppe43 presented a web-based animationsoftware for thermodynamics that was linked
Fellow of Biomimicry Institute. He has over 20 years of industrial, academic & entrepreneurial experience. Before joining Cal Poly Pomona, I also served as a faculty at Rowan University, NJ and Kettering University, MI. He is passionate about education and focuses on K-16 and STEM education. He writes columns for Huffington Post on issues related to K-12 & higher education.Dr. Paul Morrow Nissenson, California State Polytechnic University, Pomona Paul Nissenson (Ph.D. Mechanical & Aerospace Engineering, University of California, Irvine, 2009) is an Assistant Professor in the Department of Mechanical Engineering at California State Polytechnic University, Pomona. He teaches courses in fluid mechanics
AC 2007-1918: MENTOR GRAPHICS’ SYSTEMVISION SOFTWARECURRICULUM INTEGRATIONMatthew Knudson, Oregon State University Matt Knudson is a second-year graduate student at Oregon State University. He received his B.S. in Electronics Engineering in 2005 from OSU and is currently working on his Ph.D. in Mechanical Engineering with a graduate minor in Computer Science. His research is in advanced system dynamics and intelligent control systems. Matt has designed and executed computer aided design projects for four academic terms of introductory system dynamics and control and is scheduled to teach introductory mechatronics Spring of 2007 at OSU. Matt currently mentors two senior design teams, one
computer screen. Itis the intent of this paper to present some of these computational tools capability and theireffectiveness during the classroom to the audience in ASEE conference. These software includebut not limited to: 1. Working Mode©, which is a general purpose Simulation/ Animation package. 2. MathCAD©, which is a comprehensive design environment that enables one to combine formulas, text and interactive graphics in a single worksheet. 3. ANSYS©, which is a Finite Element Analysis software. 4. Etc.These simulation demonstrations will prepare the students to understand and better visualize thefundamental concept being taught in the classroom.In the next sections a few concepts in engineering has been chosen to apply the
: Digital SimulationsStudents are presented with several real-world examples of dynamics simulations in theform of animations taken from popular culture. Examples include the computer generatedanimation of spacecraft from science fiction films, computer generated characters fromfantasy films, and the animation of human characters from popular video games. Nextstudents are shown animations from various engineering presentations that show thesimulated deformation of solid objects, the simulated flow of air currents in a weathermodel, and the simulated results of an automotive crash test. What all of these exampleshave in common is they are all visually appealing products of some underlying dynamicsmodel.Figure 7: Digital Dynamics Simulations: 1
computation and simulation capabilities to the determination of the motion(including velocity and acceleration) of mechanisms starting from the governing ordinarydifferential equations. It was noted that the animations were effective in supporting the learningof visual learners6. Yin devised a 2-semester long computationally intensive project to designtwo specific mechanisms one for de-watering of moored boat and the other a piston crankmechanism for small internal combustion engine7. Excel computation and graphic capabilitieswere central to the project. The spreadsheet computations mainly consisted of inverting thecoefficient matrix of the systems of simultaneous equations describing the mechanism motion.Liu and Boyle used a pseudgraphical method
: Held in Conjunction with the 32nd International Symposium on Computer Architecture, 2005.[32] J. Watkins. A virtual implementation of a dynamic signal analyzer using simulink. In In 2005 ASEE Annual Conference and Exposition: The Changing Landscape of Engineering and Technology Education in a Global World, 2005.[33] Meader Woo and John M. Watkins. A graphical user interface for a dynamic signal analyzer using simulink. In In 2007 Midwest Section Conference of the American Society for Engineering Education, 2007.[34] J. Saa Nchez, F. Esquembre, C. Martian, S. Dormido, S. Dormido-canto, R. D. Canto, R. Pastor, and A. Urquiaa. Easy java simulations: an open-source tool to develop interactive virtual laboratories using
Preliminary Assessment of an MSC.ADAMS Control Design Project in Undergraduate Mechanical Engineering1ABSTRACT The required undergraduate controls sequence at the University of Texas El Paso consists ofa lecture and laboratory. To supplement the hardware laboratory a design project was assigned.The project used simulation software to visually model the hardware. This format differed fromtraditional projects that use software such as Simulink because the students could see thehardware moving on their computer screens not just a “scope” output. The anticipated benefits ofthe project are: • Reduced hardware maintenance costs – the students cannot damage the equipment. • Enhanced learning experience – the visual simulator can
physical processes. These software programs play an important role inengineering education [1]. Lazaro [2] described in their paper how to use the symbolic softwareWolfram Mathematica to create a simple graphical model of a single degree of freedom (SDF)vibrating system, which allows students to visualize concepts like damping, resonance or forcedvibrations. Danish-Yazdi et. al [3] developed eleven interactive simulation modules (ISMs) inMATLAB which depict the motion of the system under free/forced vibration and allow thestudents to control many of the parameters of vibration to see the effect of each of them on theresponse. Scotts et.al [4] developed some animations to illustrate important concepts of SDFsystems. The animations provide parameter
musculoskeletal system, including types andfunctions of skeletal muscles and joints(ii) knowledge of Newton’s laws, and ability to solve problems involving statics and dynamicsapplications, including linear and angular motions(iii) knowledge and skills using computer software dedicated to human movement analysisOne three-hour lecture has been used to introduce students to knowledge from the (i) group. Theknowledge and abilities from group (ii) have already been acquired by students in their pre- Page 13.928.3requisite studies. A brief review has been conducted to refresh this knowledge, and furtherapplication has been introduced through homework
attention cueingin animations. Computers & Education, 55(2), 681-691.[2] de Koning, B. B., Tabbers, H., Rikers, R. M. J. P., & Paas, F. (2009). Towards a frameworkfor attention cueing in instructional animations: Guidelines for research and design. EducationalPsychology Review, 21(2), 113-140.[3] de Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2007). Attention cueing asa means to enhance learning from an animation. Applied Cognitive Psychology. 21(6), 731-746.[4] de Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2010a). Attention guidancein learning from a complex animation: Seeing is understanding? Learning and Instruction, 20(2),111-122.[5] Mayer, R. E., Hegarty, M., Mayer, S., & Campbell, J
. Jokar, A., 2006, “Integration of Computatioinal Fluid Dynamics and Experimentation in Undergraduate Fluid Mechanics,” Proc. 2006 ASME International Mechanical Engineering Congress and Exposition, November, Chicago, Illinois.12. Thomas J. Barber, 2006, “Integration of Flow Simulation Tools Into the Classroom Environment,” 44th AIAA Aerospace Sciences Meeting and Exhibit, January, Reno, Nevada.13. Huebsch, W., Moeykens, S., Yavuz I. and Ogretim, E., 2006, “Multilevel Implementation of FlowLab in Engineering Fluids,” 44th AIAA Aerospace Sciences Meeting and Exhibit, January, Reno, Nevada.14. Cimbala, J., Moeykens, S., Kulkarni, A. and Parihar, A., 2004, “Using FlowLab, a Computational Fluid Dynamics Tool, to
instructionaltechniques. Qualitative feedback on this technology obtained from both a questionnaireadministered by the instructor and an evaluation conducted by an independent evaluator wasreported. Huang and Gramoll7 described the development, implementation, and functionality ofan interactive multimedia online eBook designed to enhance the learning experience of studentsin studying basic concepts of engineering thermodynamics. The eBook was comprised of 42case problems and each case covered a specific concept in engineering thermodynamics. Thestudents could learn from each case the required concepts, procedures to solve the case problem,and variation of the problem through simulation. Graphics, diagrams, animations, sounds, andhypertext were used to exhibit
course.References[1] Ribando, R. (2002, June), Using Software With Visualization To Teach Heat TransferConcepts Paper presented at 2002 Annual Conference, Montreal, Canada. 10.18260/1-2--10368[2] Ribando, R. J. (2001). Heat Transfer Tools. United Kingdom: McGraw-Hill HigherEducation.[3] Fraser, D.M., Pillay, R., Tjatindi, L. and Case, J.M. (2007), Enhancing the Learning of FluidMechanics Using Computer Simulations. Journal of Engineering Education, 96: 381-388.doi:10.1002/j.2168-9830.2007.tb00946.x[4] Miller SAE. A contemporary course on the introduction to computational fluid dynamics.International Journal of Mechanical Engineering Education. 2020;48(4):315-334.doi:10.1177/0306419019838880[5] Park, M., Park, J. J., Jackson, K., and Vanhoy, G. (2021
instruction (6 of which were lab-based). In the new arrangement, students stillreceive 9 credits of instruction, but all 9 are lab-based and all use more modern systems that arerelevant to today’s engineer. Students now take 3 credits of instrumentation (with lab), 3 creditsof systems exploration (the consolidated lab course), and 3 credits of mechatronics (with lab). Anadditional 3-credit course, computation tools, was added to the curriculum by eliminating a largelyredundant course in solid mechanics. The computation tools class is taken first in the sequence.The net result of these changes are more credit hours devoted to hands-on practice, more exposureto modern engineering systems, and implementation of current pedagogical best practice.(i) The
module quizzes and student opinion surveysand the results indicate that there is an increase in student performance and student satisfactionafter having completed the learning modules.Introduction The finite element (FE) method is a widely used tool in industry for analyzing engineering problems. The most basic FE theory and applications are offered primarily as a graduate- level course, or in some cases, as an upper-level elective for undergraduate students. Therefore, the majority of engineering programs do not require coverage of FE theory and application as a component of their undergraduate curriculum. Industry is placing an increased emphasis on the ability to apply this powerful computational tool; so it follows that
(hypertext, sound, animation, simulation). Cobourn and Lindauer4 describedflexible, computer-controlled, interactive, multimedia thermodynamic modules that allowedinstructors to implement different kinds of in-class and out-of-class activities. Students haveresponded favorably to the modules. Fridman and Shelangoskie49 presented a web-based,multimedia, self-assessment tool that enabled students to become actively engaged in learningthermodynamics. The tool provided immediate feedback, which allowed students to recognizetheir weakness and gauge their own learning levels and needs.Huang and Gramoll50 described the development, implementation and functionality of highlyinteractive multimedia, online eBook designed to enhance students’ learning of
Technologies, and Manufacturing Managementcourses. Distance learning for electrical engineering laboratories has been extensively reportedin the literature for several years 3-5. In the area of Thermodynamics, Sheyman 6 developedcomputer simulations for thermodynamics laboratory experiments. Another study on howstudents learn to design an online Thermodynamics course7 was reported, and aThermodynamics course 8 was taught using Adobe Connect and computer software. Other thanthese articles the authors are not aware of attempts to teach synchronous (live interactive)distance learning in undergraduate thermal engineering courses. This is likely because of themathematical nature, and numerous new concepts covered in courses such as Heat Transfer
already helped me design solutions to my own real-world problems” “I feel like I have a broader/improved tool-set to apply to real world engineering problems as a result of taking these courses”As a result of taking these courses, do you have a better understanding for the use of software inengineering design? 100% answered yesAre you more comfortable with the idea of learning new and unfamiliar software after thesecourses? 93% answered yesHas learning the software packages in these courses helped you in any other courses? 93% answered yes “I am much more confident on a computer now in many ways, not just (the software we learned)” Much more willing to use Matlab now – it’s much more powerful than
3 2.30 grams/cm = Coefficient of Thermal Expansion -6 2.33 x 10 /ºCThe Modeling of the Load SystemThe First Order Model of the Beam and Loading may be characterized by cantilever beamsexperiencing axial loads (due to the weight of the hanging masses) and the laterally appliedforces of ∑F i = ∑m i . a i (due to the force of the collision). Application of these forces willinduce the following types of stresses on the beam(s): Total = 1 + 2 Where: 1
using the softwareand hardware. A custom-built control box (shown in Figure 10) with a stepper motor driverboard links the actuators to a Labview© digital I/O board. The flow is measured using a Pitottube and a Dantec Dynamics miniature boundary layer hot wire anemometer probe. Theanemometer feeds data back into the Labview© program which writes the data into a spreadsheet.Figure 9 The Pitot tube in the model room Figure 10 Stepper motor drive board boxANSYS Fluent Flow SimulationsSimulations of the Space Air Diffusion laboratory were performed using ANSYS Fluentsoftware. These simulations also covered different flow rates through the model room. Thecontours function in the graphics and animations windows were used to provide x