standalone program on a Windows computer. The user can choose from a selection of op-tions in the AFM image artifacts app, as shown in Fig. 2. The options include the following, witheach number corresponding to the respective numbers in Fig. 2:Figure 2: MATLAB® simulation application created to teach about AFM image artifacts. Theapp is comprised of the following components: 1 Surface Profile Selection, 2 Tip Shape PreviewWindow, 3 Tip Radius Slider, 4 Tip Width Slider, 5 Contaminated Tip Toggle, 6 Sheared TipToggle, 7 Multiple Peaks Tip Toggle, 8 Animation Knob, 9 Animation Speed Slider, 10 TappingStep Size Spinner, 11 Run Button, 12 Skip Animation Button, 13 Reset Button, 14 SimulationWindow, and 15 Surface Imaging Window. 1. Surface Profile
University Dr. Ayala received his BS in Mechanical Engineering with honors (Cum Laude) from Universidad de Oriente (Venezuela) in 1995, MS in Mechanical Engineering in 2001 and Ph.D. in Mechanical Engineering in 2005, both from University of Delaware (USA). Dr. Ayala is currently serving as Associate Professor of Mechanical Engineering Technology Department, Frank Batten College of Engineering and Technology, Old Dominion University, Norfolk, VA. Prior to joining ODU in 2013, Dr. Ayala spent three years as a Postdoctoral Researcher at the University of Delaware where he expanded his knowledge on simulation of multiphase flows while acquiring skills in high-performance parallel computing and scientific computation
GradeAbstractEngineering courses have seen a rise in the usage of online textbooks, especially in response tothe COVID-19 pandemic and the need for classes to be remote. Some of these online textbookscontain learning questions, video media, animations, simulations, 3D tools, and other interactiveelements. The goal for these interactive elements is for students to engage through reading,answering questions, watching videos, stepping through animations, or otherwise participatingwith the interactive content. Despite the availability of such interactivity, student engagement isnot a guarantee. Due to time constraints and other pressures, students may opt for racing throughthe textbook or skipping the interactive elements entirely, rather than earnestly interacting
their interest in fluid dynamics. Many students suggested to do moreadvanced simulation exercises such as the flow over a plane or different types of vehicle, flowsbetween buildings in a city, and ocean currents near shore.References [1] J. D. Eldredge, I. Senocak, P. Dawson, J. Canino, W. W. Liou, R. LeBeau, D. L. Hitt, M. P. Rumpfkeil, and R. M. Cummings, “A best practices guide to CFD education in the undergraduate curriculum,” International Journal of Aerodynamics, vol. 4, no. 3-4, pp. 200–236, 2014. [2] K. Aung, “Design and implementation of an undergraduate computational fluid dynamics (cfd) course,” in 2003 ASEE Annual Conference, 2003, pp. 8–367. [3] W. Mokhtar, “Project-based learning (PBL): an effective tool to teach
member of the National Academy of Inventors (NAI). He is currently an Associate Editor of the ASME Journal of Computing and Information Science in Engineering and of International Journal of Mechanics Based Design of Structures and Machines. ©American Society for Engineering Education, 2023 Machine Learning Driven Robot Motion Design: Introducing a Web-based Mechanism Design SoftwareAbstractThis paper presents a novel machine-learning-driven web-based software, which enables the de-sign and simulation of planar N-bar single and multi-degree-of-freedom linkage mechanisms forrobotics and mechatronics applications. The software is developed using research methodolo-gies to create a
learners. These means, presented in the following sequence, were: 1. Study of theory of machines including kinematics and dynamics 2. Observation of working mechanisms and computer animations 3. Reverse engineering of mechanisms found in animated toys 4. Assembly and successful operation of commercially available automata kits (Figures 3 a and b) 5. An open-ended design project where a group of students had to design and build automata (Figures 4 a, b, and c). During the course, students learned the theory governing mechanisms and their uses in the real-world. The students followed a practical path to learn about joint, element, and mechanism types as well as functions of joints and
office hours.Additionally, over the pandemic we have seen our undergraduate students become disengagedwith campus life and with the research enterprise of the university. We have seen fewer studentsparticipating in undergraduate research and fewer graduates considering graduate programs. Totackle these issues, this paper will examine collaborative, project-based learning in a freshman,Mechanical Engineering programming course. This course teaches basic programming skillsusing a low-cost microcontroller platform (Arduino Uno) that is programmed in the C++programming language and Matlab, a programmable numerical computing platform. To engagestudents in developing community, collaborative team projects have been created. Thesescaffolded projects
estimated the amount of water to be collected at 1.7liters per hour when the soil temperature is at 18.0 °C. We conducted two pilot studies in CostaRica as proof of concept based on a location selected by local collaborators. The first test siteproved unworkable when the physical location had a soil and air temperature gradient that wastoo small. The team then set up another experiment at another location where we simulated acool underground environment by mixing water and ice in a tank. The physical on-site system isnow collecting an average of 0.45 L per hour of condensed water when the average atmospherictemperature is 28.3 °C, relative humidity of 81.64%, and a simulated cold undergroundtemperature of 20.2 °C. Details of the design
primarily because the automated feedbackallows the student much quicker iteration through many more problems. It may also be that theemphasis on pseudocode prior to coding in those courses may translate into better problem-solving approaches within their core curriculum courses. Similar to the use of MATLAB Graderin “Computational Applications in Engineering”, it is likely worthwhile to be very careful andtransparent with problem difficulty and incorporate appropriate scaffolding. Thermodynamics, Fluid Mechanics, and Heat Transfer Thermodynamics I is a core course in the curriculum typically taken by students in theirsecond year, while Thermodynamics II is an elective course typically take in the 3rd year.Thermodynamics I is a
undergraduate ForensicEngineering Learning Activity that can be adapted and fit into any junior-level Machine Designcourse schedule. For three lecture sessions, a mock factory station is erected in the style ofpopular escape rooms, simulating the scene of an equipment failure. Students complete an initialassessment of the equipment’s expected service based on a brief dossier. Small “investigationteams” are formed and granted timed access to explore the scene, collect clues, and note sitesafety violations. Next, students think critically about the circumstances, machinery, and humanelements to compose an evidence-supported theory that identifies why the part failed and who isultimately culpable. Findings are presented to the class, and the teams compete