a) b) F Q J J Q M2 M4 M3 M1 M3 M1 M2 R K M4
, 40, 290-296.4. Zhang, Q., Wang, K., Men, Y., Fu, Q., Dispersion and Tensile Behavior of Polypropylene/Montmorillonite Nanocomposites Produced via Melt Intercalation, Chinese Journal of Polymer Science, 2003, 21 (3), 359-367.5. Hull D., Clyne, T.W., An Introduction to Composite Materials, 2nd Edition, 1996, Cambridge University Press, UK, page 1.6. Agwarwal, B.D., Broutman, L.J., Analysis and Performance of Fiber Composites, 2nd Edition, 1990, John Wiley and Sons, Inc, New York, USA, page 2.7. Dasari, A., Lim, S-H., Yu, Z-Z., Mai, Y-M., Toughening, Thermal Stability, Flame Retardancy, and Scratch- Wear Resistance of Polymer-Clay Nanocomposites, Australian Journal of Chemistry, 2007, 60(7), 496-518.8. Winey, K.I., Vaia, R.A
the duct model. The airspeeds are too small for the normal wind tunnel measurement systemwhich makes use of the pressure drop in the wind tunnel converging section resulting from theBernoulli effect. An indirect method is possible, by measuring the volumetric flow rate suppliedto the rake manifold from the smoke generation system. If the total volumetric flow rate of aircontaining smoke is Q, then the average discharge velocity from N identical rake tubes will be U= Q/(NA), where A is the internal cross-sectional area of a single typical rake tube. Since theexit tube flow must be properly balanced with the external airspeed for so-called iso-kineticinjection, U will be approximately the airspeed in the tunnel test section at the point of the
efficiency of the anaerobic digestion process is controlled by: ‚ The type of waste digested ‚ It’s concentration ‚ It’s temperature ‚ The presence of toxic materials ‚ The PH and Alkalinity ‚ The HRT (Hydraulic Retention Time) time available to convert waste to gas HRT = V/Q Q = volume of tank V = daily flow of gas ‚ The SRT (Solid Retention Time) time required to convert the solid to gas ( 10- 15 days) for low rate digestion and ( 20-30 days) for high rate digestionCosts Estimation:The $ amount of the anaerobic digestor can be estimated according to
://power.ece.drexel.edu.5. C. Nwankpa, A. Deese, Q. Liu, A. St.Leger, and J. Yakaski, "Power System on a Chip (PSoC)," Proceedings of International Symposium on Circuits and Systems (ISCAS), pp. 739-742, 2006.6. R. Fried, R. S. Cherkaoui, C. C. Enz, A. Germond, and E. A. Vittoz, "Approaches for analog VLSI simulation of the transient stability of large power networks," IEEE Transactions on Circuits and Systems I-Fundamental Theory and Applications, vol. 46, pp. 1249-1263, OCT 1999.7. J. Yakaski, Q. Lui, and C. Nwankpa, "Analog Emulation Using a Reconfigurable Classical Generator Model for Load Flow Analysis," Proceedings of Power Systems Computation Conference (PSCC), 2005.8. A. St.Leger and C. O. Nwankpa, "Reconfigurable
Velocity head H m Fluid manometer height R m Hydraulic radius A mm2 Cross sectional area m Surface roughness factor h mm Channel height NR - Reynolds number t mm Channel width N*s/ m2 Dynamic viscosity V m/s Velocity Kg/m3 Density Q L/min Flow rate L m Length between taps Cumulative theoretical HLTC m
. Consider a general case in which an experimental result, r, is a iimction of J variables z ~ mq, q x3 , . . . . . . . . , XJ) = (1)Equation (1) is called the data reduction equation. The uncertainty in the result is given by [(~ UX,)2+(2C- UX2)2 + . . . . ..+( ~ u-,; ] ’ = 1 2 u, (2) 1
(o) θ 1 = 487° Picture (p) θ 1 = 630° Page 2.78.8Sample Pictures in the Animation (Continued) Picture (q) θ 1 = 720° Picture (r) θ 1 = 720° and asymptotes Salient Features of Space CentrodeThe preceding sequence of sample pictures in the output of the QuickBASIC program reveals sev-eral salient features. The jumps and meander in the locus of the velocity center C of the couplerare indeed spectacular. It is of interest to point out the following salient features:■ As the crank AB rotates counterclockwise from the position θ 1 = 0°, C starts to move out from the support at E.■ For 0 ² θ
, P. W. and Zhou, Q, “Internet Based Robotic System for Teleoperation,Assembly, and Automation,” International Journal of Assembly Automation, Vol.21, No.2,pp.143-151, 2001. Page 14.1361.119. Huang, G. Q. and Mak, K. L., “Web-integrated Manufacturing: Recent Developments andEmerging Issues,” International Journal of Computer Integrated Manufacturing, 14, pp.3–13,2001.10. Potgieter, J and Bright, G., “Modular Mechatronics Control System for InternetManufacturing,” Proceedings of the 18th International Conference on CAD/CAM, Robotics andFactories of the Future, Porto, Portugal, pp. 529-536, July 2002.11. Richard Chiou, Yongjin Kwon, Shreepud
attributes, provides valuable input for other six-sigma tools such as, Quality FunctionDeployment process. For making changes in an existing product or service, six-sigmaprofessionals first analyze the efficacy of the product or service in terms of customer satisfaction Page 14.457.6levels in must-be and one-dimensional. Changes that offer maximum benefits are then selectedand implemented using standard six-sigma tools and techniques.Since respondents may not rate all attributes included in the questionnaire in these categories,other classifications are also possible such as indifferent (I), questionable (Q), and reverse (R).Indifferent (I) means
. Available from: http://www.acm.org/education/curricula.html.10. D. Soldan, J. L. A. Hughes, J. Impagliazzo, A. McGettrick, V. Nelson, P. K. Srimani and M. D. Theys. Computer Engineering 2004 Curriculum Guidelines for Undergraduate Degree Programs in Computer Engineering. 2004 December 2004. Available from: http://www.acm.org/education/curricula.html.11. T. Chen, Q. Shi, J. Wang and N. Bao, Multicore Challenge in Pervasive Computing Education, The 3rd International Conference on Grid and Pervasive Computing, 2008, pp. 310-315.12. D. J. Ernst and D. E. Stevenson, Concurrent CS: Preparing Students for a Multicore World, Annual Joint Conference Integrating Technology into Computer Science Education 2008, pp. 230
work whether I am employed by a multi-national firm or not. 1 Question 2 – It is essential that the MET program and faculty 0 be involved in and knowledgeable about Q. 1 Q. 2 globalization and international issues.Figure 1.The manufacturing engineering technology program is not the only group at BYU which isbeginning to focus on the effects of
Ç q$1 Ç 0 1 Ç q1 Ç 0 È q$ Ù ? È /y 2 - /2|yn Ú ÈÉ q2 ÙÚ ÈÉ K yn2 ÙÚ Ù F É 2Ú É nClearly all of the parameters in the state variable model can be obtained from the transferfunction for this system. The mathematical models are actually stored as state variable modelsand converted to transfer functions when needed. In the initial two or three labs the studentsmust construct models for at least two different systems. These models will be used throughoutthe course. The students are also given loose guidelines in terms of how to
and comfort levels withthe material were more apparent. For example, on question 3, the two strongest students Page 11.325.5immediately recognized this as a conservation of energy problem. Both of these studentsdeveloped their own equations, using dimensional analysis to organize the given information.Both students displayed a solid understanding of specific heat capacity and heat transfer. The next tier of students began the problem by organizing the given into a table ordiagram. These students could also identify this as an energy balance question. With minimalprompting or clues (e.g., q = mC∆T), these students could develop a
) Information presented Materials provided Amount of time for activities Opportunities for Q&A Opportunities to learn from others Relevance for your classroom Information about enhancing mathematics Information about infusing math into science and technology Figure 3 Teacher
Non-disclosure agreement 2 Q&A with clinician ßsame as Ideation and sketching ßsame as 3 Brainstorming and IP Pitches Permanent design teams formed 4 Measuring and drawing of parts Brainstorming on materials ßsame as 5 Brainstorming on fabrication ßsame as 6 CAD 7 CAD 8 Materials, machining, and assembly Shop training 9 CAD assignment due Shop 10 Shop 11
contour plot shows the variation of the normal stress along the x-axis,while the second displays the variation of the Von-Misses stress. The stresses in the model wereobtained using a C3D8R type element. The parts of the model which are more severely stressed canbe seen on the stress contour presented in Figure 4(c). The Von-Mises stress contour can be used tomake sure that the yield stress in the material is not exceeded. Using this type of analysis the normaland shear stresses at any cross section on the structural member can be determined and comparedagainst the theoretical stress values obtained using Eq. (6). M yz Mz y N V Q Tc V Q Tcx xy y z xz z y
ideas to fit what ATE will supportDay 0 Evening Assignment: Each college should appoint a spokesperson and prepare aone minute introduction of your team and your project for tomorrow morning.Day 1Monday, July 15, 20196:30-8:00AM Breakfast at hotel8:15 -8:30AM Bus pickup at hotel9:00 – 9:10AM Welcome9:10 – 9:30AM Introduction of Colleges9:30-10:00 Session 1: ATE Basics (brief session 30 minutes including Q&A) Components of ATE proposal Head’s up about submission process, Fastlane, grants.gov, research.gov What PIs and grants offices will have to do between now and submission day10:00-10:45AM Session 2: Rationale (45 minutes) Brief presentation on importance of rationale (10
. ., Huang, J. C. H. ., Huang, A. Y. Q. ., & Yang, S. J. H. . (2017). Applying learning analytics for improving students engagement and learning outcomes in an MOOCs enabled collaborative programming course. Interactive Learning Environments, 25(2), 220–234.Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Altman, D., Antes, G., & Tugwell, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement (Chinese edition). Journal of Chinese Integrative Medicine, 7(9), 889–896. http://doi.org/10.3736/jcim20090918Sadhasivam, J. (2014). Educational paradigm shift: Are we ready to adopt MOOC? International Journal of Emerging Technologies in Learning, 9(4), 50–55
itemsbut are dependent on each other. If students find that they include a dimension or force in theequations of equilibrium that is not in the FBD then they must go back and add it in.Emphasizing the idea that the equations of equilibrium are driven by the free body diagram hashelped students develop a clearer understanding of how and why FBDs are important to theproblem solving process. In practice, instructors write ABCD ⇒E on the board frequently whendrawing free body diagrams as a constant reminder.Let’s take a look at an example from Hibbeler’s text at how this maps to what’s already done.(Pearson has granted permission to use these images.)To avoid confusion with the discussion of the technique, the point locations are renamed to be P,Q
Higher Quality Science,” PLoS One, vol. 8, no. 10, p. e79147, Oct. 2013.[11] R. S. Kushalnagar, G. W. Behm, A. W. Kelstone, B. T. Trager, M. R. Weber, S. S. Ali, and J. Lee, “Inclusive Learning through Real-time Tracking Display of Captions,” in 2016 ASEE Annual Conference & Exposition Proceedings, 2016, vol. 2016–June.[12] G. W. Behm, R. S. Kushalnagar, J. S. Stanislow, and A. W. Kelstone, “Enhancing Accessibility of Engineering Lectures for Deaf & Hard of Hearing (DHH): Real-time Tracking Text Displays (RTTD) in Classrooms,” in 2015 ASEE Annual Conference and Exposition Proceedings, 2015, vol. 122nd ASEE, p. 26.657.1-26.657.10.[13] Q. V. Vy and D. I. Fels, “Using Placement and Name for Speaker
this module through active work and practice.• Draw a schematic for a closed system and label it with the given information.• Apply the energy balance equation for a closed system, correctly applying SI and English units.ResourcesRead Ch. 2.3-2.5 (pages 55-72) in the textbook. Pay attention to the following:• Sign convention for heat transfer• Equation 2.35b (closed system energy balance equation)• Example 2.2ExercisesThese exercises can be done during or after your reading. They are intended to help you makeexamples of the concepts you are reading. Work these out on scratch paper, and then you will beasked to submit the results at the end.1. Why is it incorrect to say that a system contains heat?2. For a process in a closed system, Q
identify an opportunity application and to generate contents for poster • 3rd class – 1) team to set up poster (3 min), 2) team to view/study posters (8 min) (gallery walk), 3) presentation (3 min – one representative each team) with Q&A (3 min), 4) voting (2 min), 5) debriefing/reflection (*deliverable: poster) • Team to submit a tech brief (a week) (*deliverable: tech brief)Pilot Implementation AssessmentThe module was first implemented in Spring 2018 term in the Introduction to Robotics course.The class comprised 12 students (1 woman, 12 men), all juniors and seniors MEs. Overall, the3-stage deployment structure as well as in-class activities worked out as envisioned.To assess the efficacy of the module, the
): (1) x In an artificial neuron, for each input w q a weight q is assigned. The neuron calculates the weighted sum z as shown in (2): (2) The output of the neuron is governed by the activation function, which acts as a threshold. Considering this, the output is given by (3): (3
followingquestions on an end of the course evaluation form: This semester videos of your presentations were made available to each student group, and you were asked to provide feedback on your individual performance as well as your Page 26.927.6 teammates’ performance. Do you feel this experience helped you improve your presentation skills? Is it worth it for [the instructor] to continue recording student group presentations and providing videos to groups for their evaluation in the future? Which presentation feedback method did you find most helpful – evaluation of your own presentation/Q&
), 1541–1547.[5] Mazumder, Q. H., Karim, R. M. (2012). Comparative Analysis of Learning Styles of Students of USA and Bangladesh, Paper no: AC2012-5075, 119th ASEE Annual Conference, June 10-13, 2012, San Antonio, TX, USA[6] Sadi, O. & Uyar, M. (2013). The relationship between cognitive self-regulated learning strategies and biology achievement: A path model. Procedia-Social and Behavioral Sciences; 93 (2013), 847-852.[7] Crede, M., & Philips, A. L. (2011). A meta-analytic review of the motivated strategies for learning questionnaire. Learning and Individual Differences; 21 (2011), 337-346.[8] Puteha, M., &, Ibrahimb, M. (2010). The usage of self-regulated learning strategies among form four students in
support during the research process. Additionally,authors would like to thank University of Michigan - Flint institutional review board, faculty and staff fororganizing necessary field trips and to various locations related to current study and equipment support. References[1] Savoji, A. P. (2013). Motivational strategies and academic achievements in traditional and virtual university students. Procedia-Social and Behavioral Sciences; 84 (2013), 1015-1020[2] Mazumder, Q. H. and Ahmed, K. (2014). “A Comparative Study of Motivation and Learning Strategies Between Public and Private University Students of Bangladesh” Proceedings of the 2014 ASEE North Central Section Conference
., Skokan, C., Kosbar, L., Dean, A., Westland, C., Barker, H., Nguyen, Q. & Tafoya, J. (2007). “K-12 outreach: Identifying the broader impacts of four outreach projects.” Journal of Engineering Education, 96 (2), 173-189.14. Tafoya, J., Nguyen, Q., Skokan, C. & Moskal, B. (2005). “K-12 outreach in an engineering intensive university.” Paper in the Proceedings of the annual meeting of the American Society for Engineering Education, Portland, Oregon (11 pages). REPRINT: Proceedings of 4th ASEE/AaeE Global Colloquium on Engineering Education, Sydney, Australia, September, 2005.15. Moskal, B., Skokan, C. & Duffield, J. (2004). "GK-12 learning partnership: An outreach program in engineering education.” Paper in the
, e.g. Assessment and Feedback1. Understand point Read Li et al. “Defect 5-min quiz and solutions, Conceptual questions indefects, including energies of graphite Q+A session assignmentadatom, vacancy, Stone- Density-functionalWales defect in carbon- calculations”, Phys. Rev.based materials. B 72, 184109 (2005)2. Prepare your own Payne et al. “Iterative Create a computational Computational modelingcomputational modeling minimization techniques modeling input file to questions in assignment,input file. for ab initio total-energy determine