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
)) Actions setRGB((col, row), (r, g, b)) write(filename) clear(color) save to filefill entire Raster with a single color (default is black) repaint() redraw now In order to facilitate projects that plot mathematical functions and leverage students‟ incoming knowledge,Raster‟s origin is located in the lower-left corner, and thus column-row addressing directly mimics x-ycoordinates within the first quadrant of a Cartesian plane. url = “http:….jpg
many educational challenges both for new recruitsand also to continuously update the skills of those employed. However, the main focusof this paper is with those who use the electronic products (category B in figure 1).It is easy to lose sight of the needs of the much larger workforce that designs, builds andsustains the electronic systems. One of the reasons is that the work is no longer limitedto one industry segment. Positions that use electronics skills are now to be found in awide range of industries including biotechnology, health-care, manufacturing,entertainment, automotive and consumer products. Electronics technology is a keyenabler of all of these contemporary industries and is their critical path to meet the
15.692.5effectively.Bibliography 1. BOYER, E.L. (1995) Assessing Scholarship, ASEE Prism, 4, pp. 22-26. 2. BROOKS, R., MADJAR, A., MILLER, W., TAKKALAPELLI, K. Finite Element Method - A Tool for Learning Highway Design, 2008 ASEE Annual Conference, Pittsburg, PA 3. BROOKS, R., AYRANCI, B., TAKKALAPELLI, K. Improvement of Graduate Students’ Performance in Design, Discovery, and Learning. 2009 ASEE Annual Conference, Austin TX 4. KIM, S.K. (1990) Essence of Creativity: A Guide to Tackling Difficult Problems (Oxford, Oxford University Press). 5. ROSS, M.L. & TAHER (Eds) (1967) Explorations in Creativity (New York, Harper & Row). 6. SHALLEY, C.E. (1991) Effects of Productivity Goals, Creativity Goals, and Personal
. Dereskei, B. (1998, August 15). A graduate student Internship at Merck Chemical Company [WWW document]. URL http://www.uta.edu/cos/SNS97Web/Bela.html, p. 1.7. University of Texas at Arlington (1998, August 18). Former Students [WWW document]. URL http://utachem.uta.edu/html/former_studnents.html, p. 1-2.8. Undergraduate Catalog 1998 -99. (1998). Portland, ME, University of Southern Maine.9. Marshall, J. (1998). Professional Internship Portfolio. Unpublished manuscript, University of Southern Maine, Gorham, Maine. Page 15.989.12 Table 1 - Major Portfolio SectionsA. Table of ContentsB. Credentials 1
, accessed 2008/9.8. SHERHPA (Sustainable Heat and Energy Research for Heat Pump Applications), Europe, http://sherhpa.fiz-karlsruhe.de/, accessed 2008/9.9. IEA Heatpump Programme -Annex 28, Norway, http://www.annex28.net/norway.htm, accessed 2008/9.10. Private communication with R. Unger, engineer in charge of linear refrigerator compressor development, during a student tour of Sunpower Inc., Athens, Ohio, October 2005, http://www.sunpower.com/.11. Wood, B. D. “Applications of Thermodynamics”, Addison-Wesley Publishing Co., 1969, pp182 - 185.12. El-Shaarawi, M. “On the Psychrometric Chart”, ASHRAE Transactions, Paper #3736, Vol. 100, Part 1, 1994, pp11 – 20, http://faculty.kfupm.edu.sa/ME/magedas.13. Bayless, D. J
Content: Skill Development for Engineers,” Journal of Engineering Education, Vol 97, No 3, 2008, pp 295-307.[4] Chubin, Daryl, K. Donaldson. B. Olds, and L Fleming. “Educating Generation Net – Can U.S. Engineering Woo and Win the Competition for Talent?,” Journal of Engineering Education, Vol 97, No 3, 2008, pp 245-257.[5] Nelson, J., Turner, G., Crittenden, K., and Boudreax, A., “A Model for High-School Teacher Professional Development and Student Learning” Proceedings of the Frontiers in Education, Oct. 2009[6] Hall, D.E., M. Barker, and J. Nelson. “Living with the Lab: Expanding a Project-Based Freshman Curriculum to Over 350 Freshman Students,” Proceedings of the American Society of Engineering Education Meeting, 2008
. Facer, R. L. and Wadsworth, L. L. (2008). Alternative Work Schedules and Work Family Balance: A ResearchNote. Review of Public Personnel Administration 28(166). www.rop.sagepub/cgi/content/abstract/28/2/1664. Vergakis, B. (2008). Many state workers to start 4-day work week. Arlington Heights Daily Herald.http://www.heraldextra.com/news/local/article_49fb1d87-4ad2-5811-bc70-3217b825f8d5.html5. Worklifeharminy (2009). Compressed Work Week Saves Utah Millions.www.worklifeharmony.ca/news/news10300903.aspx6. Moltz, D. (2008). Are 4-Day Workweeks the Future? Inside Higher Ed.http://www.insidehighered.com/news/2008/08/19/fourday7. Fernandez, T. (2009). Four-day summer schedule. News.FIU.edu. news.fiu.edu/2009/03/this-week-four-day-summer-schedule-help
Conference & Exposition (2009). 4. Zarske, Malinda S., Jacquelyn F. Sullivan, Lawrence E. Carlson, and Janet L. Yowell. "Teachers Teaching Teachers: Linking K-12 Engineering Curricula with Teacher Professional Development." American Society for Engineering Education Annual Conference & Exposition (2004). 5. Minstrell, J. (1989). Teaching science for understanding. In L. Resnick and L. Klopfer (Eds.) Toward the thinking curriculum: Current cognitive research (pp. 129-149). 1989 Yearbook of the Association for Supervision and Curriculum Development. 6. Perkins, D. N. (1993). Teaching for understanding. American Educator, Fall, 28-35 7. Crawford, B. A. (2000). Embracing the essence of inquiry: New
AC 2010-1803: THE AERODYNAMICS OF THE PITOT-STATIC TUBE AND ITSCURRENT ROLE IN NON-IDEAL ENGINEERING APPLICATIONSB. Terry Beck, Kansas State University B. Terry Beck, Kansas State University Terry Beck is a Professor of Mechanical and Nuclear Engineering at Kansas State University (KSU) and teaches courses in the fluid and thermal sciences. He conducts research in the development and application of optical measurement techniques, including laser velocimetry and laser-based diagnostic testing for industrial applications. Dr. Beck received his B.S. (1971), M.S. (1974), and Ph.D. (1978) degrees in mechanical engineering from Oakland University.Greg Payne, Kansas State University Greg
/Noise — filtering meaningful information, patterns and commonalities from massively multiple streams of data ≠ Cooperation Radar — the ability to sense, almost intuitively, who would make the best collaborators on a particular task.If these and similar skills and competencies will be required from the engineers of the future,then they will also be required from those who will be educating those engineers of the future.Change has to occur first in the teacher to become a mentor and role model to the student; the Page 15.1231.3professor must continue to be a student. B. Resources devoted to curriculum developmentDuring the past
AC 2010-757: ASEE'S ROLE IN THE ACCREDITATION REVIEW OF ABET EACPROGRAMS IN ENGINEERING, ENGINEERING PHYSICS, AND ENGINEERINGSCIENCE (ET AL.): A BRIEF HISTORY, THE CURRENT STATUS, AND A LOOKAHEADJames Farison, Baylor University Dr. Jim Farison is currently Professor Emeritus in Baylor University's Department of Electrical and Computer Engineering, and is also the academic coordinator for Baylor's multidisciplinary B.S. in Engineering program, which offers a Biomedical Option and a Flexible Option. He is a member of ASEE's Accreditation Activities Committee, is past chair of the Multidisciplinary Engineering Division, and served many years as Baylor's ASEE campus representative. He received his
AC 2010-922: RE-INVENTING ENGINEERING EDUCATION ONE NEW SCHOOLAT A TIMESusan Blanchard, Florida Gulf Coast University Susan M. Blanchard is Founding Director of the U.A. Whitaker School of Engineering and Professor of Bioengineering at Florida Gulf Coast University. She received her M.S. and Ph.D. degrees in Biomedical Engineering from Duke University in 1980 and 1982, respectively, and her A.B. in Biology from Oberlin College in 1968. She is a Fellow of the Institute of Electrical and Electronics Engineers, the Biomedical Engineering Society, and the American Institute for Medical and Biological Engineering.Robert O'Neill, Florida Gulf Coast University Robert J. O'Neill, P.E. is
of technology in the classroom and improving student outcomes through hands-on and interactive experiences.Debra Mascaro, University of Utah Debra J. Mascaro is the Director of Undergraduate Studies in Mechanical Engineering at the University of Utah. She holds a B.A. in Physics from Gustavus Adolphus College in St. Peter, MN and a Ph.D. in Materials Science and Engineering from the Massachusetts Institute of Technology. She teaches freshman design and senior-/graduate-level classes in microscale engineering and organic electronics.Robert Roemer, University of Utah Robert B. Roemer is currently a professor of Mechanical Engineering at the University of Utah. He received his B.S. degree
and write an output image with gray-levels gq, setting gq = T [gp ] (4)B. Coding in MATLAB and VHDLFirst, the values M, N, and G are defined using the 4x4 test matrix. The data values in Table 1 are definedas the 4x4 array with four gray-levels. In steps 1 and 2 the array H of the length four is initialized withzeros. A for loop is used to execute the code and loop back while keeping the increment index variable. InMATLAB an array index goes from one to G, therefore the algorithm is modified by adding one to gp. Forstep 3, a 4x1 array is defined with values of zeros. Hc[1] is assigned the value of the first element in H.Another for loop is applied, but this time the loop is
and write an output image with gray-levels gq, setting gq = T [gp ] (4)B. Coding in MATLAB and VHDLFirst, the values M, N, and G are defined using the 4x4 test matrix. The data values in Table 1 are definedas the 4x4 array with four gray-levels. In steps 1 and 2 the array H of the length four is initialized withzeros. A for loop is used to execute the code and loop back while keeping the increment index variable. InMATLAB an array index goes from one to G, therefore the algorithm is modified by adding one to gp. Forstep 3, a 4x1 array is defined with values of zeros. Hc[1] is assigned the value of the first element in H.Another for loop is applied, but this time the loop is
AC 2010-1661: A TEAM-BASED NERVE CUFF SIMULATION PROJECT IN ATHIRD YEAR FOUNDATIONS OF BIOMEDICAL ENGINEERING COURSEPurvis Bedenbaugh, East Carolina University Purvis Bedenbaugh is the director of the biomedical engineering concentration within the newly ABET-accredited general engineering program at East Carolina University. He obtained the B. S. E. degree in biomedical engineering from Duke University, the M. S. degree in bioengineering from Clemson University, the Ph. D. degree in bioengineering from the University of Pennsylvania, and was a postdoctoral fellow at the Keck Center for Integrative Neuroscience and Department of Otolaryngology of the University of California, San Francisco
component gas is at a partial temperature of the full temperature of the mixture.d. The equivalent molar weight of the mixture is the density weighted sum of the components.2. The thermal diffusivity is the conductivity k divided by the heat capacity (density *Cp). If thematerial A has a very low thermal diffusivity and material B a very high one, heat applied to oneside of both A & B will cause:a. The heat to spread more rapidly through A than Bb. Material B to absorb more heat than material A.c. Material A and B will behave the same way.d. Material B will transfer the heat more quickly than material B.3. A rod of material A has a larger Young’s modulus than a rod of material B with the samedimensions. If the two rods are both loaded with the
15.680.7Figure 4 shows that there was a slight increase in the scores on the spectroscopy question in Fall2009. However, it is hard to tell what is occurring, since the scores vary so much from year toyear. For this reason, we “normalized” the scores by dividing the score from the spectroscopyquestion by the score from the calculation question (Table 1). If, for example, class A did poorlyon both questions (i.e. 10 on both, out of 25) and class B did well on both (20), we may unfairlysay that class B was the better class and the teaching practices implemented within that classwere more desirable and well suited to the students. By normalizing, we would see that class Aand B were equal (1) and no conclusions about who had the better teaching practices
v2 "Source A" "Source B" + vA R2 v2 iB — ref. Figure 2: Circuit with Sources and Nodes Labeled Page 15.743.3 v2 − vA v2Writing an equation at Node 2, we have: + − iB = 0 R1
provided by an oscillating fan. Students working on the crossand the final designs are shown in Fig. 1. Each design was reviewed, similarities and differenceswere highlighted, and the designs were critiqued by the club membership. Teamwork skills werediscussed. a. A group planning their design. b. Final designs Figure 1. Freestanding newspaper cross project.Meeting 2 – Material Properties and StabilityAt the second club meeting, different types of material were discussed and samples passedaround to all groups. The concepts of ductile and brittle behavior were introduced. Each studentwas given a bag with a gummie worm, Tootsie Roll, pretzel rod and Airhead to perform pulltests on. A group
, andreliability. At the end of the course, student groups are required to demonstrate their designthrough a final formal presentation to the faculty, fellow students, peers and a jury of industryguests and faculty from other departments. Students also write a detailed design report as part ofthe course requirements.Students are assigned to select a project in the area of (a) Manufacturing Process System Designor (b) Product Design.The scope of the work in format (a) may be summarized as follows: 1. Design a simple product using available resources of our CIM facility. 2. Design and develop an automated manufacturing process using CIM facility. 3. Implement, debug, test the system, and run production with minimal human intervention. 4
(chi-square) that are appropriate for nominal to nominal and nominal ordinal data. The finalgrade in the class was then entered as a variable called “grade.” This was structured as anordinal variable consisting of A (4), B (3), C (2), D (1), and F (0). Page 15.1078.4ResultsSixtyeight (74%) of the students enrolled at the beginning of the class chose to participate in thestudy. Of these, two students dropped the class reducing the number of participants included inthe study to 65. The majority of the students were architecture majors. Students classified as“other” represented only 7.7% of the respondents. The breakdown of the participants
the datato supply these recommendations, and drafted this paper, all in an effort to learn the value ofassessment and subsequently enhance the upcoming 2010 program.References[1] Gattis, C., Hill, B., Lachowsky, A., A Successful Engineering Peer Mentoring Program.Proceedings of the ASEE Annual Conference and Exposition, 2007.[2] Gibbons, Michael T., Engineering by the Numbers. Retrieved 30 November fromhttp://www.asee.org/publications/profiles/upload/2008ProfileEng.pdf[3] Kuh, George D., Kinzie, Jillian, Schuh, John H., Whitt, Elizabeth J. 2005 Student Success inCollege: Creating Conditions that Matter. Jossey Bass. San Francisco, CA.[4] Patterson, R., Aarons, T., Crede, E., Hines, K., Bile, J.L., Chelko, J., Hubbard, R., Gooden,F., Edmister
practices defined by practitioners and unified as a national standard. Drawingand drafting practices were unified under the ANSI/ASME Y14.100 series of documents.As documentation systems move to all electronic formats, such as the one used byNorthrop-Grumman to design the B-2 Spirit bomber, and the common practice in theautomotive industry for CAD models of complex sheet metal parts to be the “Master” forinspection, standards are being issued, such as ANSI Y14.41, to assure thatdocumentation remains accessible and useful to future engineering practitioners.Modern Enterprise Resource Planning SystemsBusiness systems have developed from engineering document control practices andsystems design methodology 6. Business Enterprise Resource Planning (ERP
8independent reviewers. Each reviewer independently evaluated each quiz. Independentreviewers were provided the Independent Reviewer Multiple-Choice Quiz Question AssessmentForm, in Appendix B, to record their evaluation. This assessment form is almost identical to theMultiple-Choice Quiz Question Checklist Form in Figure 1. One difference between the twoforms is that the checklist form items are written as questions and the assessment form items arewritten as statements. A second difference is that each item in the checklist form is evaluated ona 1 to 5 Likert Scale. The independent reviewer uses the Likert Scale to evaluate how well thequiz satisfies each assessment form statement. The scale used was as follows: (1) not at all, (2)needs improvement
: (a) learning activities, (b) students, and(c) instructors. They further suggested that blended learning environments vary widely accordingto the following goals: pedagogical richness, access to knowledge, social interaction, personalagency, cost effectiveness and ease of revision. Assuming such an environment results instudents having more control over their learning [16-17]; improves student learning motivationand overall satisfaction [18]; enhance information skills acquisition and student achievement [19]and foster communication and closeness among students and instructors [20].It appears that blended learning methods are effective in facilitating the process of onlinecollaborative learning [21-23]. Another problem in blended learning is
AC 2010-1193: A REPEATED EXPOSURE EXPERIMENT TO IMPROVEKNOWLEDGE RETENTIONDeborah McAvoy, Ohio University Deborah McAvoy is an Assistant Professor in the Civil Engineering Department within the Russ College of Engineering and Technology at Ohio University. Her research interests are in the field of traffic engineering, specifically driver behaviors, human factors, highway safety and traffic operations. Page 15.81.1© American Society for Engineering Education, 2010 A Repeated Exposure Experiment to Improve Knowledge RetentionIntroduction and BackgroundImproving
(h).Figure 4 provides a more detailed conceptual map for the tasks involved in the data capture andanalysis. As the tank is draining, images are captured (step a.) and pressure versus time data isrecorded (step b). After the draining is complete and the data logging is stopped, the jet lengthvalues, L, are extracted from the images captured by the digital camera (step c). The pressuretransducer values are converted to depth (step d). The time ti at which each image was capturedis used to interpolate in the depth versus time data, and to extract a set of h(ti) valuescorresponding to each of the images used to measure L(ti), (step e). Finally, the L(ti) and h(ti)data are combined to yield a plot of L(h), (step f). Figure 5 is an annotated
] ρ 2 EI Fcr ? 2 (1) LThe formula for the cross sectional moment of inertia of a rectangular section is given by 1 1 ρ 4R 1 2 I? (b / 2 R)h 3 − (2 R)(h / 2 R) 3 −20.1098R 4 − R 2 − (h / 2 R) (2) 12 12 2 3ρ 2 Where b and h denote the width and height of the rectangular cross section, and R represents theradius of fillets. Note that the pultrusion process requires that the section