of soybean oil, J. Am. Oil Chem. Soc., 74, 1457-1463(1997).5. Gunvachai, K., Hassan, M. G., Shama, G., and Hellgardt, K., A new solubility model to describe biodieselformation kinetics, Trans. IChemE, Part B, 85(B5), 383-389, (2007).6. Slinn, M. and Kendall, K., Developing the reaction kinetics for a biodiesel reactor, Bioresource Technology, 100,2324-2327, (2009).7. Vicente, G., Martinez, M., Aracil, J., and Esteban, A., Kinetics of sunflower oil methanolysis, Ind. Eng. Chem.Res., 44, 5447-5454, (2005).8. Stamenkovic, O. S., Todorovic, Z. B., Lazic, M. L., Veljkovic, V. B., and Skala, D. U., Kinetics of sunflower oilmethanolysis at low temperatures, Bioresource Technology, 99 (2008) 1131-1140, (2008).9. He, B. B., Singh, A. P., and Thompson
and for grading those products. Ph.D. students and/or Facultyfrom the School of Business provide an experience in team building early in the program to helpestablish an understanding the need for and means for good group dynamics. Outside lecturersalso provide perspective on Professional Registration, Design for Quality, Ethics in Industry, andIntellectual Property. Table 2: Presentations and Grading (*) by External Lecturers Expert Lecturer Lecture Content Target SubmittalStudent Placement Office Resume Writing Project Placement (4-days)Industry Mentors a. Project Kick-off a. PDR* in 4 weeks, b
major not within the Engineering Department). As this is a technical areaof active development, an effort is made to incorporate new advances into the lecture material ina timely manner. The author intends to continue offering the course on an annual basis. 3 References 1. Principles of Sustainable Energy Systems, Third Edition Charles F. Kutscher, Jana B. Milford, Frank Kreith CRC Press 2019; ISBN-13 978-1-4987-8892-2 2. Spacecraft Power Systems Mukund R. Patel CRC Press 2005; ISBN 978-0-367-47693-93. Wind and Solar Power Systems; Design, Analysis, and Operation Mukund R. Patel and Omid Beik CRC Press 2021; ISBN 978-0-367-47693-94
AC 2008-1297: A “BALLOON SATELLITES” PROJECT COURSEJohn Kuhlman, West Virginia University John Kuhlman is a Professor of Mechanical and Aerospace Engineering at West Virginia University. He received his Ph.D. degree from Case Western Reserve University in 1975, and his M.S. and B. S. Mechanical Engineering degrees also from CWRU in 1973 and 1970, respectively. His current research interests include spray cooling, reduced gravity fluid mechanics and heat transfer, and applied CFD. He is a course co-instructor for the WVU Balloon Satellites project course project course, and also serves as a course instructor for the WVU Microgravity Research Team project course.G. Michael Palmer, West
0 70 75 80 85 90 95 100 Dry-bul b T em perature, F Figure 5.From normal room conditions, in complete recirculation mode, it takes about 5 minutes tosaturate the air. At this point, the formation of fog inside the duct at the sprayers can be clearlyobserved. Operation of the sprayers together with the heaters in complete recirculation modeshould produce the most extreme condition of temperature and humidity in the chamber. In testsof the unit, a psychrometric state of 97 oF dry-bulb and 95
Creating a Culture of Entrepreneurship Vi Richard B. Brown The University of UtahCollege of Engineering Spin-offs Notable Entrepreneurial AlumniSimon Ramo, TRW John Warnock, Adobe Alan Ashton, Word Perfect Ed Catmull, Pixar Mark Fuller, WET Technologies Jim Clark, Netscape, Silicon Graphics 2011 2010 2009 2008 2007 2006
students’ scores of the two groups. It can be seen that students’ performance of thetreatment group is significantly better than that of the control group in the midterm exam. Morenoticeably, the number of students who received “A”s in treatment group is twice of that in thecontrol group. Figure 2. Students grade distribution in mid-term exam Figure 3. Comparison of midterm exam score distributionFigure 4. Stacked bar graph of mid-term exam score (A: 90~100; B: 80~89; C: 70~79; Below C: 69 or lower)Similar to the study done for the midterm performance, the results and comparison of students’final exam scores of the two groups are shown in Figures 5 through 7, where
engineering (and everything else) at __________University is well known for its sunny east-facing floor-to ceiling windows that run thethousand-foot length of the building on three of its six floors. Using a protractor, the angle iseasy to measure. Applying a rated load resistance or a small light bulb gives an appropriatecurrent output as a function of phase angle.Experiment B: An estimate of maximum power output. The voltage vs. current curve of a solarcell is nearly rectangular, as shown in Figure 7. Figure 5. Typical Voltage vs. Current Curve for a Photovoltaic Cell7The terminal voltage is quite close to the open circuit voltage for a range of current
should be reinforced. In fact, most students did consult their data, but in a naiveway. Here are three designs. The first two a) and b) are typical of students' solutions;the third c) is an optimal solution, but one which, in the six years the course has beentaught, has never been produced by students. a) b) c)Solution c) is optimal because it reflects that a single strand of spaghetti has adequatetensile strength to support the tensile load on the horizontal member. And it reflects thatadditional radius is required to increase the buckling strength in the two compressionmembers. But, the added strength is only necessary where the bending moment is
follows: 1. Convert the new bridge B to its canonical variant C(B). 2. Compute H(C(B)), the hash string for the canonical variant. 3. Search the database for all bridges Mi with stored hash string equal to H(C(B)). 4. If no such bridge is found, go to 6. 5. Otherwise convert each bridge Mi to its canonical variant C(Mi) and check whether C(B) = C(Mi) for any i. If so, a duplicate has been found, otherwise continue. 6. There is no duplicate. Store the pair B and H(C(B)) in the database.Since a standard database engine can look up a hash string very rapidly, and canonical variantsand hash strings are also quick to compute, this algorithm successfully met the performancerequirement.A second challenge was determining the unofficial
. Juvinal, R. C., and Marshek, K. M. Fundamentals of Machine Component Design. Third Edition. John Wiley & Sons, 2000.7. Shigley, J. E. and Mischke, C. R. Standard Handbook of Machine Design. McGraw Hill, 1986.8. Shigley, Joseph E. Mechanical Engineering Design, Third Edition, McGraw Hill, 1980.9. Sepahpour, B., and Chang, S.R. “Low Cycle and Finite Life Fatigue Experiment”, Proceedings of ASEE 2005 National Conference, Portland, OR, June 2005, June 2005. Page 24.90.16Appendix A: Summary of the Fatigue Failure TheoriesModified Endurance LimitThe level of stress at which a member will never fail, no matter how many cycles of stress
. Frederick, A. Byars-Winston, A.-B. Hunter and J. Handelsman, "Increasing the Persistence of College Students in STEM," Science, vol. 341, pp. 1455-1456, 27 September 2013.[4] J. G. Cromley, T. Perez, and A. Kaplan, "Undergraduate STEM Achievement and Retention: Cognitive, Motivational, and Institutional Factors and Solutions," Policy Insights from the Behavioral and Brain Sciences, pp. 1-8, 2015.[5] L. Espinosa, "Pipelines and Pathways: Women of Color in Undergraduate STEM Majors and the College Experiences that Contribute to Persistence," Harvard Educational Review, vol. 81, no. 2, pp. 209-241, 2011.[6] E. Seymour, A.-B. Hunter, S. Laursen and T. DeAntoni, "Establishing the Benefits of Research Experiences for Undergraduates in
(b) the prototype in Figure 1,[10] which is close in spirit to theRASCL concept and provides a limited but useful toolset, especially when compared to unitsunder $1000 that were located during this search. The board in Figure 1, designed by WilliamDurfee at the University of Minnesota, is a forward thinking tool designed to “pilot an innovativeapproach to system dynamics and control laboratories that incorporates proven hands-on learning Page 12.1220.3principles to improve student learning.”[10] Its primary purpose is to provide students with ameans to filter acoustic signals, and the board is one of a pair of boards available for purchase
to a very large number of ideas, and manychallenging topics, in a relatively short time. The topics are mostly of our own choosing and haveevolved over time. Each student will inevitably have his or her unique profile in being attracted (orrepelled) by the various topics. Students, in effect, will embrace certain ideas and reject others.We recognize and allow this – at least to a limited extent. By looking at Theme Aand the history of this course, Theme B emerged as the observation that faculty often selectcourse topics in much the same way that the students do in this course; that is, in accord Page 8.777.1 Proceedings of the 2003
whole is anessential part of their research. At the end of the semester, students communicate their results inthe following forms: (1) abstract, (2) technical report, and (3) oral presentation supported bymulti-media materials. A check list and grading criteria were developed that includes all theelements of the DoM.After completing the course, twenty-one students have demonstrated success in obtainingfunding and/or creating formal work products. Table 1 summarizes their accomplishments whichconsist of a collection of grants/industry stipends, published papers30-39, presentations at aUniversity research showcase, and software releases. The most notable results came fromstudents A, B, G, and H who had multiple work products. The remainder
a continuous basis to show that graduates are demonstrating the requiredoutcomes.Although the outcomes are different for the two sets of criteria, they have a number ofsimilarities. In particular, both the EAC and TAC require an “ability to communicateeffectively,” (item g. for both). Other similarities are noted between EAC item k. and TAC itema., which require the use or mastery of techniques, skills, and modern tools; EAC item c. andTAC item d., which both deal with design; EAC item b. and TAC item c., which both includeinterpretation of data; and EAC item d. and TAC item f., which deal with formulating andsolving technical problems. The author has found that contributions can be made to all of these
impact and on the degree to which it meets its intended objectives. F. Continually improve We have developed a continuous improvement process based on the W. Edwards Deming model of Plan-Do-Check-Act (Figure 5). Four levels are involved in this process: Voice of the Customer, Program, Curriculum, and Course. Various activities occur at each level, and Level A. Plan B. Do C. Check D. Act I I-A I-B I-C I-D Voice of Identify constituents Develop program Assess effectiveness Modify process and the and solicit their input objectives
a larger DC voltage swing at (D). Page 5.66.3Table 2. Signal Descriptions with Light Beam Unobstructed. Signal Signal Description (Full Light) See Fig. 3 A 0 to 1.5 v * B ±0.8 v * C ±12 v * D 2 v DC ±0.1 v noise E -7.5 v DC ±0.1 v noise and * F ±3 v * G 7 v DC ±0.5 v * H 17 v DC ±1 v * I 17 v DC ±1 v * J ±0.06 v (high frequency noise) S Frequency Generator, 10 kHz sine wave: zero to 15 v, Note the 7.5 DC offset. air gap Ball not present, Full light beam misc. R18=3.75 kΩ, R19=198 kΩ, L1 current=520 ma * a noisy 10 kHz
because it caused the students to review thework at an earlier time to participate. Figure 3. Domain engineering roadmap emphasizing individual contributions Table 3. Term paper topic influenced by individually- or group-led topic in classStudent Basic Topic Led Advanced Topic Led Term Paper Topic (k) on “Reusability Grace (a) Re-engineering for Reuse Metrics” (k) on “Software Product Dave (b) Measurement and Experimentation
author, and openthe starting gate. The student enters the laboratory armed with the concepts of scientificresearch, and builds the framework of the final project with the practical tools to assure success.The course challenges, supports, and answers questions to ease the student’s transition toindependent researcher. The last assignment requires blending the earlier ones complete withscience and technical background, literature review, thesis statement, and justification. Bycompleting required thesis assignments early in the degree program, the candidate gains a globalperspective, direction, and control. The student author is encouraged to continue the iterativedrafting method throughout the research process.References1. Paltridge, B., "Thesis
with a peak at B is derived from earnings retained in thebusiness from open-market sales. The gap between A and B is the Valley of Death.With the loss of industry contributors such as Bell Labs, the gap is getting wider.However, if an embryonic product or new technology can cross the Valley of Death, thatbecomes an important early indicator for further success. B Support for technology development A ($) Concept R&d r&D Maturity EOL Figure 1. The Valley of DeathTwo further general observations can be made: Since figure 1 refers to technology
Conference, Seattle, Washington. https://peer.asee.org/7513[2] Head, L. M. (2011, June), Signals, Systems, and Music: General Education for an IntegratedCurriculum Paper presented at 2011 Annual Conference & Exposition, Vancouver, BC.https://peer.asee.org/18807[3] Shepard, T., & Carlin, B. W. (2014, June), A First-Year Soldering and Analog Music to LightModulator Electronics Lab Project Paper presented at 2014 ASEE Annual Conference,Indianapolis, Indiana. https://peer.asee.org/19940[4] Rhudy, M., & Rossmann, T. (2015, June), Musical Analogies as a Teaching Tool forEngineering Concepts Paper presented at 2015 ASEE Annual Conference and Exposition,Seattle, Washington. 10.18260/p.24517[5] Park, W. (1998, June), Electronic Music Techniques
Unit (CurriculumExchange) TargetGradeLevel:5-8 EngrTEAMSEngineering to Transform the Education of Analysis, Measurement, & Science Colony A – Aerial Photograph 10meters Colony A – Site Map Area inside lines is nesting site 10meters N Colony B – Aerial Photograph EngrTEAMS Project is funded by the National Science Foundation under grant NSF DUE-1238140 Saving Pelicans: A STEM Integration Unit
eclipsed thedeterministic path that had initially been defined by the experts. In subsequent reviews,the same experts fully acknowledge the validity of the changes to their plans.To understand the reasons for the user-driven change process, the historical evolution ofsix courses was analyzed. The courses are: A. Decision-oriented risk management B. Role of the Chief Engineer C. Data acquisition D. Working with data E. A Chief Engineer case study F. How to make a business case.The approximate change made per delivery is shown in figure 5. The course identifiersA – F are defined in the list above. Change means new
areas such as space and human body. A challenge facing TEGs is their low efficiencydue to obtaining their energy from low energy sources such as waste heat and a low figure ofmerit (ZT) that enable conversion of heat into electricity1. , where T is the absolutetemperature, s is Seebeck coefficient, is electrical conductivity, and k is thermal conductivity.In power generation, the Seebeck effect enables the direct conversion between heat and electricenergy streams. Heating one end of the unit cell while holding the other end cooler induceselectromotive force within the material and may be harnessed for electrical power2. In Figure 1,two dissimilar semiconductors A and B are connected electrically in series but thermally inparallel with
Procedure 1 500 kg of reactant A (MW = 100 kg/kmol) is added to 5000 kg of a mixture of organic solvent (MW = 200 kg/kmol) containing 60% excess of a second reactant B (MW = 125 kg/kmol) in a jacketed reaction vessel (R-301), the reactor is sealed, and the mixture is stirred and heated (using steam in the jacket) until the temperature has risen to 95″C. The density of the reacting mixture is 875 kg/m3 (time taken = 1.5 h). 2 Once the reaction mixture has reached 95″C, a solid catalyst is added, and reaction takes place while the batch of reactants is stirred. The required conversion is 94% (time taken = 2.0 h). 3 ………………………………………………………………………………………. 4
MG-2 0.5 0.4 0 2 4 6 8 10 Day (a) (b) Figure 7 (a) a smart grid (b) the overall performance of three
engineeringprograms.The analysis presented in Table 3 shows that preparation was a significant factor in determininggraduation in five years. This analysis included all students regardless of gender or ethnicity. Table 3. Binary Logistic Regression showing impact of five factors on success in engineering. B S.E. Wald df Sig. Exp(B) Commitment 0.099 0.048 4.277 1 0.039 1.104 Confidence 0.014 0.048 0.083 1 0.773 1.014 MathSciPrep 0.060 0.021 8.507 1 0.004 1.062 Value -0.019 0.020 0.874 1 0.350 0.982 InternalMotivation -0.019 0.025
apparent. RED GREEN LED LED R A B GREEN RED LED LED C Page 22.90.7 Figure 3. LED-based circuit illustrating the operation of a bridge rectifier. Some time is spent with this
Session 2553 A One-Semester Engineering Chemistry Course Mark A. Palmer1, Gary E. Wnek, Joseph Topich2, John B. Hudson, and James A. Moore3 1 Kettering University / 2Virginia Commonwealth University / 3Rensselaer Polytechnic InstituteAbstractThe number of courses in engineering curricula has been reduced during the last decade. Atypical response by programs is to reduce the number of core courses, and move the specialtycourses into the earlier years. Many curricula now require only one (if any), semester ofchemistry