valves let their respective fluids in. Once a high fluid level isdetected, the inlet valves are closed, and the motor is run for a set time to mix the fluids.When the time is up, the outlet valve is opened until the PLC detects a low fluid level and thecycle is started again. Students were walked through each step of creating a ladder diagram forthe control of the tank, culminating in a complete ladder diagram similar to the one shown inFigure 2. Mixer Motor Inlet Valve A Inlet Valve B Level SW- High Level SW- Low
Paper ID #30516Acquiring and Implementing an Air Traffic Control Simulator in a HigherEducation Aviation ProgramDr. Meron Lindenfeld, Farmingdale State College, State University of New York Meron Lindenfeld has been teaching in aviation since 2004, and has been with the full-time aviation faculty at Farmingdale State College since 2017. Over his years of teaching, Dr. Lindenfeld has exercised his FAA AGI and IGI privileges in Part 141 ground school courses, covering private pilot, instrument, commercial and multi-engine content. Dr. Lindenfeld also teaches courses in aviation history, airport management, and aviation safety
relied upon the following values: 2.80 × 10−4 T for B, as predictedby the magnetic field model; 350 V for Vb , a value chosen to be in the same area as was used inBaird’s thruster, 6 ; and 35 eV for Te , as Goebel stated that one tenth of the operating voltage is areasonable estimate for electron temperature. 5Using these values, we computed re = 0.83 mm and ri = 61 cm as the maximum and minimumallowable lengths of our channel. While both of these proved to be much more forgiving than themore practical constraints of what we thought we could manufacture, the computation was avaluable exercise in computing and designing for theoretical constraints. Given these reasonabledesign parameters, we were content with the strength of our magnetic field
former systems engineer at Hughes Aircraft, Space and Communications Group inthe 1990s working on satellite attitude dynamics and control systems, it seems that this projectdoes a pretty good job of replicating the issues involved in such an industrial setting, and as aresult, is preparing these students for success in both subsystem and systems engineering roles.BIBLIOGRAPHY1. Halsmer, D. M., Voth, J. A., McCain, C. A., Reutter, J. D., Frailey, N. S., Samuelson, M., &Ahrens, D. (2018, June), Development of a Virtual Reality Flight Simulator to Assist in theDesign of Original Aircraft Paper presented at 2018 ASEE Annual Conference & Exposition ,Salt Lake City, Utah. https://peer.asee.org/30326.2. J. Abbitt, B. Carroll, R. Fearn, & R
-1/2. https://ira.asee.org/wp-content/uploads/2017/07/2017-Engineering-by-the-Numbers-3.pdf3. E. A. Kuley, S. Maw & T. Fonstad (2015). Engineering Student Retention and Attrition Literature Review. Proc. 2015 Canadian Engineering Education Association (CEEA15) Conf. CEEA15; Paper 41 McMaster University; May 31 – June 3, 2015 https://pdfs.semanticscholar.org/f773/182a4313f3b229e7971557237a545f8c92ca.pdf4. C. P. Veenstra, E. L. Dey & G. D. Herrin (2009). A Model for Freshman Engineering Retention, Advances in Engineering Education, Winter 2009, Vol 1(3).5. B. N. Geisinger & D. R. Raman (2013). Why They Leave: Understanding Student Attrition from Engineering Majors. International Journal of Engineering Education Vol
choices directly affect anaircraft’s performance in closed loop configuration.Keywords: Virtual Reality, Short Period Dynamics, Classical Control Theory, StabilityAugmentation System B. INTRODUCTION The typical aerospace engineering undergraduate experience is generally filled with largetextbooks, dense lecture material, and the occasional lab to supplement the theory learned withinthe classroom. However, as new interactive technologies such as Virtual/Augmented Reality,haptics, high fidelity modeling, simulation and visualization continue to evolve, engineeringeducation is slowly making the transition towards a more technologically integrated classroom. Asthis transition continues, these technologies
Comparison. Figure 2. Math 108 Performance ComparisonFigure 3. Math 110 Performance Comparison Figure 4. Math 207 Performance ComparisonThe smallest difference between the traditional delivery and the flipped delivery was observed forMath 110. This could be because the students of the traditional delivery class were provided accessto some of the learning videos that were being developed for the planned flipped delivery of theclass. However, a large increase in the passing rate with A, B, and C letter grades (33% in atraditional Fall 2017, 44% in a flipped Fall 2018, and 57% in flipped Spring 2019) was observedin Math 107. And in Math 108 course even a larger increase in the passing rate (30% in a traditionalFall 2018, 60% in a flipped Fall
skills wasmeasured by the rubrics (see Appendix B) basedon Ref. [13-16]. Even though this research teamdoes not have empirical data, from anecdotal Figure 7 Students' resistanceaccounts and observations, student had improvedtheir writing skills. The rubric was developed bythe instructor and it was pilot tested with a group of students. For 2018 class, the project-basedlearning was not implemented. Figure 8 Writing and Communication skill5. ConclusionThis work was motivated by the need to improve the students’ learning experience in Flightdynamics and control class by implementing inductive learning and teaching. The outcomemeasurements were performed by
Paper ID #28956Lighter than air vehicles as aerospace focused projects in a mechanicalengineering capstone sequenceDr. Wilhelm A Friess, University of Maine Dr. Friess holds a Ph.D. in Aeronautical Engineering and a B.Sc. in Physics from Rensselaer Polytech- nic Institute (1997), and currently is Associate Professor of Mechanical Engineering with the Univer- sity of Maine. Previously he has spent 5 years in Dubai as inaugural faculty of RIT Dubai and Dubai Aerospace Enterprise University. Dr. Friess’ industrial and academic career spans a variety of consult- ing and entrepreneurial activities in Europe, Asia and Africa
to a differential equation (ODEs, PDEs, etc.). (b) Solution to an algebraic equation (c) Solution to a geometric equation4. Simulate and analyze the solution in real-time to obtain a static/dynamic graphical representation (graphs, plot, distribution, mechanical/electrical designs).5. Interpret the mathematical solution and simulation results in a real world.6. Prototype the solution and demonstrate functioning. For several years now, the author has offered courses in aerospace engineering and twoof them are core theory-based courses, which need to be taken by every student in the program.At large, the material presented in these courses is foundational and has very limited variations.To facilitate the students to review the
questions, three map to the environment. Gendered effects of performance in CS areinfluenced by the social environment, whereas programming experience in high school or undergraduateeducation beyond introductory CS is reflective of the opportunity that students have in their pre-collegeenvironment. We also take students’ grades in the linear algebra course to be reflective of theirenvironment, rather than their ability, because the programming assignment we study involved forming anAx = b matrix from a set of equations. Based on students’ difficulty with this concept in class, wehypothesized that having prior knowledge of linear algebra would be helpful on this programmingassignment. And therefore, students who had the opportunity to take advanced
used for both GCScommunication and control commands from the RaspberryPI, but this would require sending theRaspberryPI commands through the GCS computer, as well as the responses to queries of UAVflight mode and altitude. This method was not used because of the increased lag and unnecessarycomplexity this would introduce to the system.System Components Raspberry PI 3 Model B+ Figure 1 - RaspberryPI Model3 B+ The RaspberryPI Model3 B+ is a microcomputer based on the Cortex-A53 (ARMv8-A) 64-bit instruction set [3]. It features the Broadcom BCM2837BO quad-core processor at 1.4 GHz. It is equipped with 1GB of LPDDR2 SDRAM, a 2.4GHz and 5GHz IEEE 802.11.b/g/n/ac wireless LAN, a
baccalaureate program at Purdue University inAeronautical Engineering Technology. The program is part of the School of Aviation andTransportation Technology in the Polytechnic Institute located on the main campus in WestLafayette, Indiana. On the approved plans of study for students, this junior-level course isrequired for a bachelor’s degree program in aeronautical engineering technology. Twoprerequisite courses build the foundational knowledge that is used in this course. The firstprerequisite course is an introduction to reciprocating engines and the second is basic aircraftelectricity.The undergraduate course is currently mapped to two student outcomes for Criterion 3: (b) anability to apply a knowledge of mathematics, science, engineering, and
studentparticipating in this study showed more interest in the class, spent more time in the lab and overallperformed better than their counter parts. Test bench used in this study is show in Figure 1. Figure 1: Gas Turbine Engine Test Bench and Flow Simulations b) Flight Simulator based Case StudyIn this study, student learning and retention is assessed using a motion based fixed wing flightsimulator. Students are given introduction to the principles of flight. They are presented withwritten literature to review before the flight. A short presentation is given to them that describesthe flight controls, basic instruments and the mission. Then they fly the aircraft
postonly survey originally developed by The Program Evaluation Group for Science enrichmentprograms.The data tables and corresponding graphs generated from responses to the Student FeedbackSurvey are presented next. 1(a). This program helped me understand science 26.51% 55.42% 16.87% better. (n = 83) 1(b). Because of this program, I feel better about 45.78% 36.14% 14.46% being able to learn science. (n = 83) 1(c). I learned some things in this program that I 39.02% 37.80
whatspecific approach we choose to pursue for the VL implementation, the objective of creating theVL space remains the same: VLs must improve the quality of education for students, which isthe thesis of the virtual lab project. In order to achieve this thesis, we want to answer thefollowing research questions. a) How did students perceive VLs? b) What connections did students make between VLs and Physical Labs?2. Literature ReviewOne of the earliest use of VLs in higher education was Project Athena at Massachusetts Instituteof Technology (MIT) [1]. Project Athena began in 1983 to improve the educational quality forstudents at MIT. In Project Athena, MIT researchers used the philosophy of“gedankenexperiment” (German for “thought experiment”) [2], a
, small companies and hobbyists who earn less than $100,000 a yearHardwareThe hardware used for this module is the tabletop sized 5-axis CNC Pocket NC V2-10. Thissystem is a useful didactic platform given its simple interface and small size. The Pocket NCweighs about 30 pounds with anenclose weighing about 25 pounds.The movement and rotations areabout the X, Y, Z, A, and, B axes.The B axis rotates about the Z-axiswhile the A axis rotates about theY-axis. This allows the user to millfeatures that are not perpendicularto the surface of the work piece.The interface for the tabletopmachine is accessible via an IPaddress that works for all PocketNC. The Pocket NC connects to acomputer via an input as seen infigure 2 as number 4. This
labconfiguration includes the Optitrack Flex 13 camera solution. The cameras are mounted in locations deemedsuitable for the application; the cameras are connected directly to the USB ports on the OptiHub.Due to the setup of cameras, the supporting structure of the cameras is susceptible to vibrations andtemperature changes from the environment. Currently the a few cameras which are very sensitive tovibrations and external motion are the two mounted on tripods. The UAV flight lab can be safely done witha minimum of 6 cameras when all 8 cameras have been employed and connected. a. Drone Lab b. Four quadcopters in a swarming flight Figure 1. SNHU Drone lab and flying quadcoptersThe lab floor is covered with
satisfaction-turnover intention link," Journal of Organizational Behavior, vol. 35, pp. 151-171, 2014. [5] P. Susomrith and A. Coetzer, "Employees' perceptions of barriers to participation in training and development in small engineering businesses," Journal of Workplace Learning, vol. 27, no. 7, pp. 561-578, 2015. [6] R. D. Zimmerman, "Understand the impact of personality traits on individuals' turnover decisions: a meta-analytic path model," Personnel Psychology, vol. 61, no. 2, pp. 309-348, 2008. [7] C. Tanova and B. Holtom, "Using job embeddedness factors to explain voluntary turnover in four European countries
Paper ID #29498Results from University of Alaska Fairbanks AIAA Student Club Design,Build, Fly Competition 2019Levi Purdy, University of Alaska Fairbanks Although tech is my identity, I have spent most of my life on a remote Alaskan island. I am proud to have grown-up with a lifestyle more rustic than average, even for Alaska. The isolated environment gave me important project management skills as I regularly worked on projects including carpentry, plumbing, electrical wiring, system engineering, and programming. At university I am continuing to refine and gain additional skillsets. Developing an advanced teamwork based
Paper ID #30577Art in Space: Using Art to interest K-12 students in aerospace design[STUDENT PAPER]Maria Baklund, University of St. Thomas Undergraduate Research Assistant for the Playful Learning Lab at St. Thomas under the direction of Dr. Annmarie Thomas. Served as the Art in Space contest project lead. Third-year Mechanical Engi- neering major with a Peace Engineering minor. Has led many STEM activities and is interested in using engineering to encourage peoples’ interests and collaborate with developing countries.Miss MiKyla Jean Harjamaki, Playful Learning Lab I am an undergraduate student studying mechanical
Paper ID #29480Drone Construction and Racing for PreCollege StudentsDr. Michael C. Hatfield, University of Alaska Fairbanks Michael C. Hatfield is an assistant professor in the Department of Electrical and Computer Engineering at the University of Alaska Fairbanks, and Associate Director for Science & Education, Alaska Center for Unmanned Aircraft Systems Integration. He earned a B.S. in electrical engineering from Ohio Northern University; an M.S. in electrical engineering from California State University Fresno, and a Ph.D. in Electrical/Aeronautical Engineering from the University of Alaska Fairbanks.Dr. Catherine F