) b) Figure 2: Water flume (a) before experiment begins and (b) with laser turned on.IV. Data ProcessingPIVLab is an open-source toolbox for MATLAB that processes the images captured andprovides quantitative information about the flow. A selected sequence of frames are importedinto PIVLlab where preprocessing options such as masking can be done. The program calculatesvelocity vectors based on the displacement of particles between image pairs, and a vector map issuperimposed over the interrogation windows. A calibration image is required to tell thesoftware the relationship between pixels and physical space. Post-processing options such asvector validation can be done to exclude erroneous vectors, and blank spaces can be filled
right way. I have always considered myself to be alearner by doing and finally having a class in college where I am allowed to implement the things I learnin the class room is very exciting and exactly what I looked forward to getting out of this class at thebeginning of the semester.” - Chris B“I think having the homework assignmentss be as challenging as they were, helped me to study and retainthe material more than I would have for an exam. Overall, I enjoyed the course and really hope I canbeneficially utilize a good deal of this information in the future.” - Austin O“I really like how you gave us real data to analyze in our homework; it was really
. Three separate andindependent groups of students are recruited for the study. Group distribution is shown as a Venndiagram in Figure 1. Group A is presented with written literature to review before the flight. Theliterature defines the functions of the flight simulator, flight controls, aircraft principles,instruments and the required mission details. They are then asked to fly the mission with minimalassistance during the flight portion. They are free to ask questions during the flight. Group B is notpresented with any literature for review before the flight. A short presentation is given to them thatdescribes the flight controls, basic instruments and the mission. Their first real exposure to theflight is when they get on the simulator and
System (LMS) such as Canvas. In step b), the utilization of open resourcesis encouraged including Solutions Manual, Internet search engines, and group problem solvingsessions, along with the availability in step c) of content tutoring within the EPC. Regardless ofonline or flipped delivery, the formative and summative assessment are conducted in-person asoverseen, in step d), supervised by test proctors in a secure computer-based testing facility. Instep e), referred to as score clarification, students are afforded a two-week interval to clarifytheir scores based on handwritten work via scanned-in scratch sheets, either with the contenttutors or faculty who may, in step f), refine assessment scores or adjust assessment results viadiscrimination
incorporation of the flight simulator activities. (a) Ratios and Proportion (b) Slope and Rate of Change (c) Kinetic and Potential Energy (d) Newton’s LawsDuring the one-week PD and the summer camp for the middle school students, only the Ratio andProportion, and Kinetic Energy and Potential Energy lesson modules were covered. Details of eachlesson modules are included in the project website (www.flyhightu.weebly.com).The content knowledge instrument for student participants of the summer camp consisted of 20questions (10 questions from math content and the other 10 questions from science content). Thequestions on the pretest and post-test instruments were not the same, though similar. The STEMattitudes assessment instrument - a
rather thanlearning a programming language. The project team had previously piloted the use of theseprogrammable quadcopters and robots during two half-day sessions at the local middle schools aspart of ‘UAS Road Shows’.(a) Ozobot (b) Ozoblockly (c) Mamba Drone (d)TynkerFigure 1: Hardware and Programming EnvironmentsProcedureThere were several presentations and hands-on activities during the 5-day camp. The participantswere given a presentation on physics of flight and on aircraft controls. This was followed by hands- © American Society for Engineering Education, 2017 2018 ASEE National Conferenceon practice on a large screen flight
provide an overview of the anatomy of satellites and facilitate theparticipants to seek answers to the following questions:1. What are the constituents of a PNMSat?2. What is the role of the following subsystems of a PNMSat? a. Command & Data Handling System b. Electrical Power System c. Telemetry, Telecommand and Communication d. Attitude Determination and Control e. Orbit Design, Control and Ground Tracking System f. Structural and Thermal System g. Payload System3. How do these subsystems integrate and form a PNMSat system?4. How do I make sure my PNMSat will achieve its goal in space?5. How do I launch my satellite if I put in the effort to build one?6. What do I do once the satellite is launched and executed its intended
more flexible by expanding the numberof graduate-level aerospace engineering courses offered in the near future.Laboratory capabilitiesIn 2015, a closed-circuit subsonic wind tunnel with a 75 cm x 75 cm test section and a top speedof approximately 130 km/h (80 mph) was designed and constructed by a group of senior studentsas a capstone project. Figure 2 shows the wind tunnel’s Solidworks CAD model and CFDsimulated flow field, whereas Fig. 3 shows photos of its wooden construction and assembly. (a) (b) Figure 2. Subsonic wind tunnel (a) Solidworks CAD model and (b) CFD simulated flow field. (a
large fixed-wing UAS, known as theMeridian, was developed using Advanced Aircraft Analysis (AAA). The Meridian is a 1,100 lbUAS that was designed, manufactured, and flight tested by the KUAE department. The dynamicmodel of the Meridian was investigated over a broad range of Mach numbers and flight altitudes.The dynamic model for the UAS was verified with actual flight tests [14]. Figure 2: Dynamic Modeling of Meridian UAS (Ref. 14)b) Effects of Winglets on Small Unmanned Aerial SystemsAlthough the benefits of winglets on the fuel efficiency, takeoff, and climb performance of largetransportation aircraft have been extensively investigated and documented, their impact on smallUASs have not been widely modeled. This
Paper ID #22377Inclusion of Sustainability Analysis in a National Airport Design CompetitionProf. Mary E. Johnson Ph.D., Purdue Polytechnic Institute Mary E. Johnson earned her BS, MS and PhD in Industrial Engineering from The University of Texas at Arlington. After 5 years in aerospace manufacturing, Dr. Johnson joined the Automation & Robotics Research Institute in Fort Worth and was program manager for applied research programs. Fourteen years later, she was an Industrial Engineering assistant professor at Texas A&M - Commerce before joining the School of Aviation & Transportation Technology at Purdue
Paper ID #23003Development of a Virtual Reality Flight Simulator to Assist in the Design ofOriginal AircraftDr. Dominic M. Halsmer P.E., Oral Roberts University Dr. Dominic M. Halsmer is a Professor of Engineering and former Dean of the College of Science and Engineering at Oral Roberts University. He has been teaching science and engineering courses there for 26 years, and is a registered Professional Engineer in the State of Oklahoma. He received BS and MS Degrees in Aeronautical and Astronautical Engineering from Purdue University in 1985 and 1986, and a PhD in Mechanical Engineering from UCLA in 1992. He received an MA
not like CATME and the team formation. Teams were asked on the first day to sign a TeamPolicies and Expectations Contract to select leadership roles on the team: Coordinator, Recorder,Monitor, or Checker. Each designated role came with responsibilities. This also was not popular.For the most part, students felt the course met their expectations and they felt confident in theirunderstanding of airplanes. They stated the material was presented at the appropriate level. Table 1 – General Questions a. The course met my expectations. 4.32 b. I feel confident in my understanding of 4.06 Aeronautics. c. Material
: Lessons learned in a new product development class," J. Mech. Des., vol. 129, no. 7, pp. 668-676, 2007.[10] B. W. Field, "Visualization, Intuition, and Mathematics Metrics as Predictors of Undergraduate Engineering Design Performance," Journal of Mechanical Design, 10.1115/1.2722790 vol. 129, 2007.[11] M. Keefe, J. Glancey, and N. Cloud, "Assessing student team performance in industry sponsored design projects," Journal of Mechanical Design, vol. 129, no. 7, p. 692, 2007.[12] IDEO, "Human Centered Design Toolkit 2nd Edition," IDEO2009, Available: https://www.ideo.com/work/human-centered-design-toolkit/.[13] M. Maguire, "Methods to support human-centered design," International Journal Human-Computer
M i 1 (3) where ti ti 1 ti time increment, M i 1 M i m p ti , m p M P t B assumed constant (usually not sufficient info to do otherwise). 2 Thrust, Ti , is obtained from a thrust vs. time curve per the example given in Appendix A or an average thrust is used calculated from total impulse and motor burn time. Drag force is given by, Di 12 CD AVi 2 (4) where air density (assumed about constant over the trajectory
design to develop a clear,concise set of requirements. Because those requirements can and often do change – an eventcalled “creep” – this uncertainty increases the risk at the beginning of the design process. Theinability to manage uncertainty during the initial stages of design can lead to cost overruns,scheduling slips, re-designs, or program cancellation [3]. The ability to add information in theearly stages of conceptual design can decrease the risk during the design process and increase thelikelihood of success [4].Creep and uncertainty have affected the development times of major programs since the 1970s[3]. Recent large-scale programs have averaged 14.2 years for systems such as the F-35 JointStrike Fighter, the F-22 Raptor, and the B-2
://www.equitycampaign.org/i/a/document/11242_After- school_report_10-7-09_web.pdf.[11] Peterson, B., Bornemann, G., Lydon, C., & West, K. (2015). Rural students in Washington State: STEM as a strategy for building rigor, postsecondary aspirations, and relevant career opportunities. Peabody Journal of Education, 90(2), 280–293.[12] Minner, D., Levy, A. J., & Century, J. (2010). Inquiry-based science instruction—What is it and does it matter? Results from a research synthesis. Journal of Research in Science Teaching, 47(4), 474-496.