= F + m m + ext in out momentum d~ P ~ ˙ V~ − ~r × m ˙ V~ ~0 LO,sys P P Angular dt = MO + ~r × m + ext in out momentum dEsys Q˙ in,net + W˙ in,net
equations are converted to a set of algebraic equations using a weighted integral statement (e.g., weak-form Galerkin and least-squares formulation). For example, a weak-form Galerkin formulation of the governing equations, Eq. 1–2, can be stated as: find the solution {u, p} ∈ S h such that for all {w, q} ∈ V h the following equation is satisfied: Z ∂u w· ρ + ρu · ∇u − ρg − (∇ · w)p dΩ Ω ∂t Z − ∇q · u dΩ + (suitable stability terms) ZΩ = {w · (−pI + τ ) · n
course learning outcomes [1].From the students’ perspective, review sessions serve as an opportunity to learn about the examformat and get a general understanding of the types of questions they will be expected to answeror the types of problems they will be expected to solve. On the other side of the classroom, for aninstructor, exam reviews may feel like a tedious and redundant exercise, where one is expectedto regurgitate topics already covered in detail and to solve a series of example problems teasinglysimilar to what might appear on the exam.Another approach to exam reviews is hosting a question-and-answer (Q&A) session withstudents without a set agenda. This approach usually leads to disastrously low classroomparticipation and
suggests fillet radii and key chamfer dimensions [1]. Peterson [8] refers totypical fillet radii of r/d = 1/48 in, where d is the shaft diameter. In either source, thesedimensions do not correspond to common radii on bull nose end mills.Shaft Failure at KeyseatKeyseats are a common point of failure for shafts because they act as stress raisers. In powertransmission, a shaft essentially carries an alternating stress due to bending and a mean stress dueto torsion.Notch SensitivityThe effective stress in a part is typically lower than what one would predict from theoretical stressconcentration. The effective fatigue stress concentration is given by, Kf = 1 + q(Kt − 1) (1
cognitive learning gains be-tween the simulation and paper format groups. The simulation and paper cohorts each consistedof 18 students, when the data is combined across the Spring and Fall semesters.Figure 6: Learner preferences. The statements that learners are prompted to rank in the learnerpreference survey are displayed above each histogram. Learners from both the simulation andpaper cohorts strongly favored the simulation learning format over the paper learning format.5.1 Learner PreferencesThe results for the learner preferences survey are shown in Fig. 6. To examine if there were anypotential bias due to the order in which students completed the formats, we first conducted nor-mality checks using the Shapiro-Wilk test (αSW = 0.05) and Q-Q
Electrical Engineering. They presented the relation between pressure, flow rates, and designing a dam and solar panels for renewable energy.The second mini project: Each group picked their topic from Table 1. They were required toprepare a short 5–10 minutes presentation that included a title slide with the group’s info, aproblem statement slide, research and solution for the chosen topic, and a final slide for Q&A.The topics were broad in different areas to cover all the majors in the class. The objective of thisassignment was to familiarize students with the diverse real-world applications ofThermodynamics and to help them understand the significant challenges faced by our planet,climate, and emerging technologies. Through this
Synthesis of Mechanisms Using Deep Generative Models”, ASME Journal of Mechanical Design, 141(12), doi:10.1115/1.4044396, URL https://doi.org/10.1115/1.4044396, 121402.[35] Ge, Q., Purwar, A., Zhao, P., and Deshpande, S., 2017, “A Task-Driven Approach to Unified Synthesis of Planar Four-Bar Linkages Using Algebraic Fitting of a Pencil of G-Manifolds”, Journal of Computing and Information Science in Engineering, 17(3), p. 031011.[36] Deshpande, S. and Purwar, A., 2017, “A Task-Driven Approach to Optimal Synthesis of Planar Four-Bar Linkages for Extended Burmester Problem”, ASME Journal of Mechanisms and Robotics, 9(6), doi:10.1115/1.4037801, URL https://doi.org/10.1115/1.4037801, 061005.[37] Purwar, A., Deshpande, S., and
balance, 1st law of thermodynamics andsecond law of thermodynamics for control volumes. Please use these equations to answerquestions 15 through 20. dmcv = m i − m e (A) dt i edEcv V2 V2 = Q cv − W cv + m i hi + i + gzi − m e he + e + gze (B) dt i 2 e 2 •dS cv Qj • • • = + mi si − me se + cv (C) dt j Tj i e15. (5 points)Consider the schematic drawing of a general control volume shown bellow. Place mcv, Ecv, Scv
disciplinary cultures from the student perspective,” in 2018 ASEE Annual Conference & Exposition, 2018. [5] B. Batson, “’Other’reasons to invert a class,” in 2016 ASEE Annual Conference & Exposition, 2016. [6] ——, “Introducing metacognition to sophomores and juniors and its effect on academic performance,” in 2018 ASEE Annual Conference & Exposition, 2018. [7] M. A. McVey, C. W. Luchies, and A. J. Villicana, “Impact of high-performing teams on student learning,” in 2017 ASEE Annual Conference & Exposition, 2017. [8] R. D. Manteufel, “Electronic technology used in engineering thermodynamics,” in 2006 GSW, 2006. [9] Q. Dunsworth and Y. Wu, “Effective review of prerequisites: Using videos to flip the reviewing process in a
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at the 2020 ASEE Virtual Annual Conference Content Access, Jun. 2020. Accessed: Feb. 12, 2023. [Online]. Available: https://peer.asee.org/a-curriculum-spanning-review-video-library-to-improve-retention-of- prerequisite-course-material[17] Q. Dunsworth and Y. Wu, "Effective Review of Prerequsites: Using Videos to Flip the Reviewing Process in a Senior Technical Course," presented at the 2018 ASEE Annual Conference & Exposition, Jun. 2018. Accessed: Feb. 12, 2023. [Online]. Available: https://peer.asee.org/effective-review-of-prerequsites-using-videos-to-flip-the-reviewing- process-in-a-senior-technical-course[18] G. Chauda and G. Recktenwald, "Effect of a Concept Review Intervention on the
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the final project poster presentation, students were asked to demonstrate their effectivecommunication skills. The result was remarkable, with 95% of students reporting that itsignificantly helped them initiate conversations and engage with the audience. Additionally, 63%of students found it useful in handling Q&A sessions, and 74% of them reported increasedconfidence in their communication skills. Some students (26%) also mentioned that they learnedhow to create a poster and organize their poster layout. When asked for suggestions to improvethe course, one main recommendation from students was to introduce short quizzes after eachtopic to reinforce lecture content.The survey results indicate that students found the course engaging and
using long-short term memory and function-based hierarchicalframework,” Annals of Nuclear Energy, vol. 119, p. 287-299, 2018.[5] X. Li, X.-M., Fu, F.-R. Xiong, and X.-M. Bai, “Deep learning-based unsupervisedrepresentation clustering methodology for automatic nuclear reactor operating transientidentification,” Knowledge-Based Systems, vol. 204, p. 106178, 2020.[6] C. Jorge, A. Mol, C. Pereira, M. Aghina, and D. Nomiya, “Human-system interface based onspeech recognition: application to a virtual nuclear power plant control desk.” Progress inNuclear Energy, vol. 52, p. 379–386, 2010.[7] W. Li, M. Peng, and Q. Wang, “Fault detectability analysis in PCA method during conditionmonitoring of sensors in a nuclear power plant,” Annals of Nuclear Energy
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, “Criteria for Accrediting Engineering Programs, 2022 - 2023,” ABET. Accessed: Jan. 18, 2024. [Online]. Available: https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting- engineering-programs-2022-2023/[13] X. Zhang, Y. Yang, M. Shi, A. Ming, and P. Wang, “Novel energy identification method for shallow cracked rotor system,” Mechanical Systems and Signal Processing, vol. 186, p. 109886, 2023.[14] Z. Jia, Y. Yang, Q. Zheng, and W. Deng, “Dynamic analysis of Jeffcott rotor under uncertainty based on Chebyshev convex method,” Mechanical Systems and Signal Processing, vol. 167, p. 108603, 2022.[15] H. Yao, Y. Wang, Y. Cao, and B. Wen, “Multi-stable nonlinear energy sink for rotor system
://www.nsf.gov/funding/pgm_summ.jsp?pims_id=133748a[17] M. Q. Patton, Qualitative research & evaluation methods: Integrating theory and practice. Sage publications, 2014.[18] M. B. Miles, M. A. Huberman, and J. Saldaña, Qualitative Data Analysis. A Methods Sourcebook. 2014. doi: 10.1136/ebnurs.2011.100352.[19] M. Borrego, J. E. Froyd, and T. S. Hall, “Diffusion of engineering education innovations: A survey of awareness and adoption rates in U.S. engineering departments,” Journal of Engineering Education, vol. 99, no. 3, pp. 185–207, 2010, doi: 10.1002/j.2168- 9830.2010.tb01056.x.Appendix A – Rough Draft of Learning InnovationReal World Engineering – Cooling Rat BrainsIntroduction – It is common knowledge that
Education Southeastern Section Conference, Auburn,AL, USA, March 8-10, 2020.xxix F. Lopez, C. A. Dionisi, M. J. Traum, S. R. Niemi, “Effects of Behavioral Peer Evaluations on‘Free Riders’ in Engineering Group Projects,” Proceedings of the American Society forEngineering Education Southeastern Section Conference, Charleston, SC, USA, March 13-15,2022.xxx M. J. Traum, S. R. Niemi, P. Collins, M. Q. Jenkins, S. R. Putnam, C. M. Pinkoson, R. Gutierrez,“An Open Educational Resource Engineering Capstone Design Textbook with Case StudiesRelevant to Student Experience,” Proceedings of the 2020 Capstone Design Conference, Dallas,TX, USA, June 1-3, 2020.xxxi S. R. Niemi, M. W. Griffis, R. A. Smolchek, M. C. Banks N. A. Thomas, M. J. Traum, “IndustryProduct
Experiment Videos Mini-lab & Discussion Online Assignment Interesting & Related Data Share Submission Practical Problem One-Minute Paper: Online Lab Discussion / Report Feedback / Q&A SubmissionFigure 1. Modified & Improved Course structure employed at Texas A&M University. OriginalCourse Structure used in a previous study [1]Student MotivationThe present research also puts focus on student
algorithms from a given team will look very similar, but theindividual submission provides accountability that each student is at least writing up a plan andstarting to think deeply about each problem.Before the second class in the learning cycle, students are told to work with their teams to comeup with 25 questions for each problem by the start of the next class (a reduced version of a 100question Q-storm session [11, pp. 154–155]). They must also submit one of those questions foreach homework problem a day prior to the class. The instructor develops a response to eachquestion and during the second class, discusses the students’ submitted questions. Sometimes theinstructor might provide a direct answer; sometimes the instructor will ask for
response corresponds to a rating of 1 or 2 (strongly disagree or disagree), a neutralresponse corresponds to 3, and a positive response corresponds to 4 or 5 (agree or stronglyagree). Note: the number of responses is 20-21, however the total response may not add to 100%due to rounding. Construct Q# Statement Negative Neutral Positive Response: Response Response: Disagree Agree Growth Q1 I prefer to work on my own 19% 19% 61.9% Mindset through the design process. Q2 I believe the design review