impractical for many engineeringand engineering technology programs. This paper proposes a portable engine-dynamometer testcell using a one-cylinder all-terrain vehicle (ATV) engine driving a set of high-currentalternators. Engine loading is to be accomplished with a set of electric resistance heaters and apower switching array.Although associated with a large university, this project is being undertaken by a satellitecampus with limited space and financial resources. The plan is to implement the Engine-DynoProject in phases over a period of years using primarily undergraduate students working ondirected projects. The planned phases at this time are as follows: 1. Build a sturdy but portable cart to hold the engine, load cell, accessories, and
, or planning for, monitoring, and evaluating one’s own learning, knowledge,and skills [13, 14]. Metacognition is “thinking about thinking,” or “knowing about knowing,”and a metacognitive student is one who is aware of his/her learning processes and who can adjustthese processes as needed [6, 14]. Pintrich recommends that metacognitive-related instruction beembedded within usual lessons [15]. Tanner has done specific work in teaching biology studentsto use metacognition to plan, monitor, and evaluate their learning – all in the context of usualcourse practices, such as lecture, active learning exercises, homework assignments, and exams[16]. Metacognition is important because it supports the development of lifelong learning skillsneeded to
powerful, GD seemed almosttoo flexible and complicated to a number of students whose computer literacy was stilldeveloping. In following semesters, we plan to use BBL as main platform, supplemented byGD.Introduction“Introduction to Engineering Design” is a course taken mostly by first- and second-year studentsin the Mechanical and Mechatronic Engineering programs at California State University, Chico.This course represents the first engineering design experience for most students in the programs.Students are instructed to keep a notebook in most of lab- and project-oriented courses in ourcurriculum, including “Measurements and Instrumentation” and the senior Capstone designproject. Specific format of these notebooks may vary, depending on the
, involve many different types of data, not onlyengineering (technical) data but also relevant economic, social, cultural, geographic, historicand other data. This highly integrated set of technical and cultural experiences provided an authenticcontext in which the students could develop observational, analytical and interpretive skills thatwent beyond that feasible in a conventional laboratory setting.Learning GoalsThe overarching goal of this accelerated, seven day field course was to produce authenticengineering experiences and artefacts integrated with the development of cultural awareness.Through participation in it, the goal was for students to develop their ability to: • Plan & execute an open-ended engineering investigation in an
. After incorporation ofthe course modifications that have been identified by following the methodology, studentsatisfaction evaluation scores doubled.IntroductionIn established courses in long-running programs, courses may be stable for a long time, whichcan produce to consistency, but also may lead to staleness of the educational delivery.Community colleges are often more prescriptive where the outcomes and lesson plans aresupplied to the instructor by the administration. At a typical four-year university there is agreater level of academic freedom to innovate courses and bring in new material. This can leadto content drift. There are, however, collegiate programs that have regulatory constraints. Thisarticle seeks to document a process to
Paper ID #21075A Hands-on Project for Avionics Systems Course in Aviation EngineeringTechnology ProgramDr. Chenyu Huang, Purdue University Chenyu Huang is currently a Post-doc Researcher in the School of Aviation and Transportation Technol- ogy at Purdue University with a demonstrated history of working in the higher education industry. He has a Bachelor’s Degree in Electrical Engineering, Masters’ Degrees in Air Traffic Planning and Management, and Aerospace and Aviation Management, Ph.D. degree focused on Aviation Data Analytics, Avionics, and Aviation Safety Support Systems from Purdue University. Chenyu is an FAA
John Washuta, The Citadel Dr. Nathan Washuta is an Instructor in the Department of Mechanical Engineering at The Citadel in Charleston, SC. He received both his B.S. and Ph.D. in Mechanical Engineering from The University of Maryland – College Park. His primary research interests include Hydrodynamics, Turbulence, and Experimental Methods.Coleman D. Floyd Coleman Floyd is a senior Mechanical Engineering student at The Citadel. From Myrtle Beach, South Carolina, he is an active student in a variety of student organizations to include the SAE Mini-Baja and Student Chapter of ASME. He plans to pursue a Ph.D. in Aerospace Engineering upon graduation. c American Society for Engineering
students on campus as well as some of the athletes. I planned and hosted an event with the black athletes on campus to discuss ways in how our two organizations were different and how we could assist each other. Also during my freshman year, I par- ticipated in First Year Research in Engineering (FYRE) which allowed me to work with Professor Laura Ray on ”Fidget Cars.” These cars were designed for a course at Dartmouth to help teach control theory, functions of controllers, as well as some other basic math and physics applications. The work done on this car ranged from working in the machine shop to build parts, testing motor characteristics, circuit design, and more. After participating in this project for most of the
one of the turbines, then shared the data with the other groups. Students wereexpected to develop an experimental plan to determine what data needed to be gathered and aLabView™ VI for data acquisition. During testing the tunnel fan speed was increasedincrementally. At each fan speed increment the group varied electrical load on the generatorwhile measuring wind speed, voltage, current, and rotational speed. Wind speed downstream ofthe wind turbine was measured using a Pitot tube and a differential pressure transducer. Windspeed upstream of the wind turbine was measured using a hotwire anemometer. The powergenerated by the wind turbine and the temperature of the air were measured using a Vernier™Energy Sensor and Temperature Probe, connected
Professor at the Electrical and Computer Engineering Department, Michigan State University. From 2014 to 2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is Assistant Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 54 scientific articles. His research interests include arti- ficial intelligence systems and application, smart material applications and robotics motion and planning. Also, He is a member of ASME since 2014 and ASEE since 2016. c American Society for Engineering Education, 2018 Inexpensive Digital Light
) generic 3D view with surrounding environments shown in Figure 2. T00 was attached to the wall next to the room’s thermostat to represent thetemperature of the actual thermostat connected with the actual AC system for the room. Toensure experimental consistency, all thermocouples were 7.62 m (25 feet) long and were thencalibrated against two known temperatures [boiling 100 ˚C (212 ˚F) and freezing 0 ˚C (32 ˚F)].Distilled water was used in both calibration tests. Figure 2. Plan view for the room with locations for window, door, thermocouples, air-supply and return ducts All thermocouples were connected to an “Automation Direct” programmable logic controller(PLC) unit (model: H2DM1E
19.6 12.2Conducting a two-tailed t-test, the improvement from Fall 2016 to Fall 2017 has not been foundto be statistically significant (p = 0.460). This is because of small sample size.As mentioned earlier, 3-4 students were assigned to each group. It would have been ideal if therewere only two students per group as it was expected to improve learning. It has been noticed thatout of 3-4 students in each group, a student, on average, in each groups did not have muchcontribution to the success of labs/final project. More modules are planned to be deployed in Fall2018 to alleviate this problem.The final exam for course tests whether key learning objectives have been met but the final examresults were not recorded question-wise and
Electrical & Electronic Engineering, Masters’ Degrees in Air Traffic Planning and Management, and Aerospace and Aviation Management, Ph.D. degree focused on Aviation Safety Support Systems, Avionics, and Aviation Operations from Purdue University. Chenyu is also a current FAA Certified Advanced Ground Instructor. He has been immersed in a wide range of aviation related research work, and has expertise in solving cutting-edge aviation problems, such as aviation data analytics and modeling, UAS operations, air traffic management automation, flight safety enhancement, aviation emissions assessment, and engineering applications on aviation operations. He has worked closely with related industry leaders and aviation
toaddress these known deficiencies in our curriculum. In the context of experimentation, designcan be interpreted as the design of an experimental plan to solve a stated problem. This includesdeveloping measurement protocols, study methodology, quantifying experimental uncertainty, anddata-reduction. In laboratory courses that support engineering science courses (examples includestrength of materials and fluid mechanics), time constraints can limit inclusion of experimentaldesign and detailed guidance on technical writing.This paper describes the development and implementation of this unique course. The follow-ing sections will present the course design, provide detailed module descriptions, and summarizecourse assessment of learning
activity can also segue into a discussion on lumped versus distributed system modeling.Ask students to identify which playdough shapes would cool down uniformly and which wouldremain hot in the middle, while the outer surface cools. In lecture, the instructor introduces theconcept of lumped vs distributed thermal systems and what types of shapes can be reasonablymodeled as lumped systems and why.With some additional equipment and planning this exercise could be repeated later in the courseas a lab with data collection to monitor temperature response. It could also be repeated as a minidesign competition to see which models cool down the quickest.Experiment 3: “Fluid in a Tube”Step Response of a second order system with a variable damping
used for department wide planning and improvement activities. Thismethod engages the learners and the teachers in a cycle that allows real and sustainable labimprovement to be made.References[1] Feisel, L. D., & Rosa, A. J. “The role of the laboratory in undergraduate engineeringeducation.”, Journal of Engineering Education, 94(1), 2005, pp 121-130.[2] Domin, D. S., “A review of laboratory instruction styles.” Journal of Chemical Education,76(4), 1999, pp 543-547.[3] Abdulwahed, Mahmoud, and Zoltan K. Nagy. "Applying Kolb's experiential learning cyclefor laboratory education." Journal of engineering education, 98.3, 2009, pp 283-294.[4] Wankat, P. C., & Oreovicz, F. S. Teaching engineering. Purdue University Press, 1993, 99292-294[5