... 13 7. Other comments or suggestions I have are… 8The open-ended survey questions in Table 4 elicited a wide variety of responses from the 14students in this Fall 2018 EMAG class. Their most common responses to Q#4 was a suggestionalong the lines of “providing more guidance on the creativity to be put into the alternativedesign” (6) or a “less complicated circuit” (2). Seven other suggestions were made by onestudent each. The most frequent responses to Q#5 were related to “how a metal detector works”(3) or “understanding the Arduino and/or its language” (2) or “how metal and permeability affectinductance” (2). Sixteen other comments were made by one student each. In response to Q#6,several students
transients in the pressure of the pipes supplying the apparatus. These drifts and fluctuations are disturbances that the control system must reject.2. Lab experiments This section describes three of the many possible student lab experiments that could be performed with this apparatus, from the very basic to the very advanced.2.1.Valve coefficient Flow (q) through a constriction is proportional to the square root of the pressure drop (ΔP) across the constriction q = Cv ΔP0.5, (3) where Cv is a constant (see [19], eq. 2.3.3). Water is allowed to drain from the tank of the apparatus through a small hole (the constriction) and the pressure drop
-of-things platform as teaching aids in the industrialinstrumentation course International Journal of Online Engineering, 14(12), 26 - 42.Ding, Q., & Cao, S. (2017). RECT: A Cloud-Based Learning Tool for Graduate SoftwareEngineering Practice Courses With Remote Tutor Support IEEE Access, 5, 2262 - 2271.Pearson, T. (2014). A low-cost full-featured extensible laboratory for online hardwareengineering International Journal of Online Engineering, 10(3), 24 - 30.Shyr, W.J., Su, T.J., & Lin, C.M. (2013). Development of remote monitoring and a controlsystem based on PLC and webaccess for learning mechatronics International Journal ofAdvanced Robotic Systems, 10.Nedic, Z. (2012). Demonstration of collaborative features of remote laboratory
Figure5, students can visualize the operation of a microgrid consisting of 2 synchronized inverters.Exploiting the capabilities of the controller, we can employ one to simulate a wind turbine byplaying back actual waveforms recorded at a functioning wind farm. Students can see thewaveforms both as a time domain waveform as well as a D-Q representation. Figure 5 Two synchronized inverters with one playing back wind turbine waveformAs seen above, students have control over enabling or disabling the PI control of both real andreactive current and voltage, controlling the setpoint for these outputs, as well as the P and Iconstants from the controller for each output variable.At this level of study, students may directly engage with the
spun, producing solid body rotation. Theoretical results are compared withexperiments and computational fluid dynamics (CFD) simulations. Mathematica software isused to derive and obtain theoretical data, and the CFD software ANSYS Fluent is used forsimulations. The theoretical hydraulic model predicts the height of water in the filter h ,volumetric flow rate Q , and total cumulative volume of water V. It can be seen in the spinningexperimental case that after 10 hours of filtration, there is a 15 % increase in produced watervolume.IntroductionObtaining clean water safe for drinking and use is still a problem faced in many parts of theworld. Oftentimes for those people, the primary method to get clean water is to produce itthemselves. One
supporting documents (analysis, bill of materials, etc.) arepresented.Module 2: Measurement Uncertainty ModuleThe overall objective of this module is to learn and apply techniques for quantifying experimentaluncertainty. Two short experiments are completed to provide context for applying the various tech-niques. Each experiment ends with an assignment focused on writing an executive summary.The first experiment involves the measurement of volumetric discharge (Q) with a nozzle meter.Students are exposed to an explanation of how a nozzle meter works as a measurement device.This includes developing the various equations and explaining the variables involved. Two of thevariables in the nozzle meter equation are postulated to have experimental
see a measurabledifference in reverberation time between the two states of the room, particularly in the higher-frequency octave bands.The required materials for the lab included: 1) a smart phone with a sound recording app (e.g.,Hi-Q MP3 Voice Recorder), 2) a reverberant room in a home (bathroom or garage), 3) soundabsorbing materials that can be added and removed from room (towels, carpets, curtains,blankets, etc.), and 4) MATLAB with the Signal Processing Toolbox for filtering and dataanalysis, 5) an impulsive sound source, such as a balloon pop or hand clap.The lab handout included basic acoustic theory, including for room acoustics, an explanation ofreverberation time, and how to compute instantaneous sound pressure level, 𝑆𝑆𝑆𝑆𝑆𝑆
diode equation, (1).(a) ID (Vd) of a PN junction diode (b) VP N of a PN junction diode Figure 3. LabVIEW plots of a PN junction diode at room temperature(a) ID (Vd) of a PN junction diode (b) VP N of a PN junction diode Figure 4. LabVIEW plots of a PN junction diode with heat applied Figure 5. PN junction I-V (ID (Vd )) curves with and without heat applied qVP N ID (VP N ) = IS exp −1 (1) γkb Twhere IS is the saturation current (very small, pA in Silicon), q is the charge magnitude of anelectron (1.60 x 10−19 C or 1
engineering knowledge,” Teaching in Higher Education, vol. 18 no. 1, pp.78-92. 2013.[11] J.R. Martin. Forensic Linguistics: Volume 8 in the collected works of J.R. Martin, Shanghai: Shanghai Jiao Tong University Press, 2012.[12] C. Lindstrom. “Link maps and map meetings: A theoretical and experimental case for stronger scaffolding in first year university physics education,” unpublished PhD thesis, University of Sydney, Australia, 2010.[13] Q. Zhao. “ Knowledge-building in physics textbooks in primary and secondary schools,” unpublished PhD thesis, Xiamen University, China, 2012.[14] S. Stavrou. “Reforme de l’universite et transformations curriculaires: des activites de recontextualisation aux effets sur les saviors
year engineering students: Perceptions of engineers and engineering work amongst domestic and international students,” Int. J. First Year High. Educ., vol. 6, no. 1, pp. 89–105, 2015.[12] L. Q. Prendergast, “Retention, Success, and Satisfaction of Engineering Students Based on the First-Year Experience,” The State University of New Jersey, 2013.[13] S. W. Tho, Y. Y. Yeung, R. Wei, K. W. Chan, and W. W. So, “A Systematic Review of Remote Laboratory Work in Science Education with the Support of Visualizing its Structure through the HistCite and CiteSpace Software,” Int. J. Sci. Math. Educ., vol. 15, no. 7, pp. 1217–1236, 2017.[14] E. Fabregas, G. Farias, S. Dormido-Canto, S. Dormido, and F. Esquembre, “Developing a
by periodic impromptu concept presentations, plus groupand individual reflections on stakeholder needs, design criteria, etc. When the students reportedback to the PDE class, it consisted of a poster presentation with supporting evidence anddemonstration of a physical artefact. Through a rigorous Q&A session the visiting studentscommunicated and defended their design choices. Since the local students had not met as a classsince day one, the expectation was that the visitor presentations would help the local studentsprogress their own designs, and perhaps rethink their impressions of important contextual issues.The intensive investigation activities around the Jakarta project was interspersed with shorttechnical visits and workshops, one