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2013 GSW

Authors

S. Nasrazadani; Devon Henkis

Friday Afternoon Session 2- Faculty A Recent Experience in Utilization of Online Resources in Teaching Undergraduate Dynamics S. Nasrazadani and Devon Henkis Engineering Technology Department University of North Texas AbstractUndergraduate Engineering Dynamics (ENGR 2302) is one of the challenging courses in bothEngineering and Engineering Technology curricula. Variety of topics related to EngineeringMechanics is covered in this course with varying degrees of difficulty students perceived todevelop their understandings of the

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2013 GSW

Authors

Chaudhry M. A. Arafat; Mohammad R. Hasan; Panos S. Shiakolas; Samir M. Iqbal

Extended Abstract with PosterAuto-imaging, Predefined Stepping and Exposure through Submicron 3-Axis Inspection Microscope Chaudhry M. A. Arafat, Mohammad R. Hasan Department of Electrical Engineering University of Texas at Arlington Panos S. Shiakolas Department of Mechanical and Aerospace Engineering University of Texas at Arlington Samir M. Iqbal Departments of Electrical Engineering and Bioengineering University of Texas Southwestern

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2013 GSW

Authors

Karen McGill; Amir Karimi

(2) Proceedings of the 2013 ASEE Gulf-Southwest Annual Conference, The University of Texas at Arlington, March 21 – 23, 2013. Copyright 2013, American Society for Engineering Education s T, p sf T (3)where, v, u, and s are specific volume, specific internal energy, and specific entropy,respectively, and the subscript, f, denotes saturated liquid properties.The following equation is also given in the thermodynamics textbooks [1-9] for theapproximation of specific enthalpy in the compressed liquid region h app T, p hf T

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2013 GSW

Authors

Amit Oza; Gary Coleman; Lex Gonzalez; Bernd Chudoba; Paul Czsyz

sizing process applied to a fast turnaround project by using a dedicated knowledge-harvesting approach coupled with a unique sizing methodology to represent the first step in the conceptual design phase. Identify and visualize the solution space available for a hypersonic endurance (20 to 30 min) demonstrator that employs an air-breathing propulsion system. Propose prospective baseline vehicle(s) based on (1) available industry capability and (2) high-priority research (technology) required. Demonstrate a best-practice product development and technology forecasting environment that integrates the key team members, including (1) manager (decision maker), (2) synthesis specialist (integrator), and (3) technologist (disciplinary

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2013 GSW

Authors

Amen I. Omoragbon; Gary J. Coleman; Lex Gonzalez; Brandon Watters; Bernd Chudoba

Friday Morning Session 2- Student Feasibility Study of a Thrust Vector Control TransportAmen I. Omoragbon, Gary J. Coleman, Lex Gonzalez, Brandon Watters, Bernd Chudoba Mechanical and Aerospace Engineering Department University of Texas at Arlington, Arlington, TX AbstractThrust Vectored Control (TVC) has the potential to advance the design of commercial transports.This research evaluates the feasibility of a TVC commercial transport concept in three phases;(1) thrust vectoring technology review, (2) parametric sizing of a TVC transport, and (3) stabilityand control (S&

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2013 GSW

Authors

Amit Oza; Gary Coleman; Lex Gonzalez; Bernd Chudoba; Paul Czsyz

aircraft need to be selected for the mission requirements. Those vehicle(s)serve as the datum to which any development needs to be compared to.Task 4 – Disciplinary Technology MatrixThis task primarily interacts with NASA LaRC RTD. Past, present, and future disciplinarytechnologies are surveyed, organized, and documented with the expectation towardscompleteness. A technology matrix emerges as a working document, representing the currentstate-of-the-art understanding available.Task 5 – Multi-Disciplinary Configuration MatrixThis task primarily interacts with NASA LaRC SACD and RTD. Multi-disciplinary past,present, and future aircraft configurations and concepts are defined, surveyed, and documentedin this matrix. Throughout Tasks 4 and 5 two

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2013 GSW

Authors

Musab J. Bari; Samir M. Iqbal

setup, a Singatone H150 Probe Station was used, as shown in Fig. 1.1 Themicropositioner was placed on the steel plate around the stage. It was used to position the probeto make connections and to measure properties of DUT. A Singatone S-725 micropositioner wasautomated in this setup. An unmodified micropositioner is shown in Fig. 2.2 There were three basic controls on the micropositioner to control the position of the probein three dimensions as highlighted with arrowed lines in Figure 2. The first control, X, was forthe lateral position of the probe tips. This was a linear control which moved the tip directlyproportional to the amount of turns of the knob attached to it. The other two controls for theposition, Y and Z, were not linear

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2013 GSW

Authors

Amit Oza; Gary Coleman; Lex Gonzalez; Eric Haney; Amen Omoragbon; Xiao Peng; Bernd Chudoba; Paul Czsyz

Fuselage Cabin sizing (W/S)TO length, and diameter from Current (W/S)TO payload require requirements

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2013 GSW

Authors

L. Massa; P. Jha

the columns of the matrix S1T V :, nelement 1: nspeciesspan N(A). Thus, equation (1) becomes, T T S1 dc dcT S1 0 S1 0, (4)where the implication is supported by the fact that dc can be any element of N(A), which is aconsequence of the detailed balancing principle. The MATLAB implementation is simple, i.e., [U,S,V]=svd(A); S1 = V(:,Nel+1:end)’.Note that the vector μ contains the unknown mole fractions X, in fact, ˆ ˆ / RT g 0 / RT log X log p / p0 ,where g0 ≡ h

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2013 GSW

Authors

Xiao Peng; Lex Gonzalez; Eric Haney; Amen Omoragbon; Bernd Chudoba

into AVDKBS.Other Interfaces and MechanismsAn important function of AVDKBS is to aid AVDSIZING to perform the automatic parametricsizing task. Thus, an interface is developed for the operator to specify the sizing missionrequirements, see Figure 9. Figure 9. Mission Input Screen.According to previous AVD Laboratory parametric sizing projects, the mission requirementinputs consist of seven key parameters: design payload (kg), range (m), velocity (m/s), initialcruise altitude (m), take-off field length (m), landing field length (m), and reserve missionduration (s). It is not required to completely fill in all of these parameters; the user is free todefine the mission statement as practical. AVDKBS provides a ‘Traded’ option, see Figure 9. If

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2013 GSW

Authors

John Sibert; Matthew Goeckner; Dave Galley; Kory Goldammer

year institutions, Collin College and Richland College, to UT Dallas that will lead to moreSTEM majors in an absolute sense and greater opportunities for success and engagement as thesestudents proceed to STEM degrees. The pipeline has been established with focus now beingdrawn to interventions that will facilitate transfer student success at the four-year institution. References1. Augustine, N. R., Barrett, C. R., Cassell, G., Chu, S., Gates, R. M., Grasmick, N. S., Holliday, C. O., Jackson, S. A., Jones, A. K., Lederberg, J., Levin, R., Mote, C. D., Murray, C., O’Donnell, P., Raymond, L. R., Richardson, R. C., Vagelos, P. R., Vest, C. M., Whitesides, G. M., Zare, R. N., 2007, Rising

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2013 GSW

Authors

Cherif Aissi; Mohammed Zubair

 Chua’s Circuit,” International Journal of  Bifurcation and Chaos, vol. 18, no. 4, pp. 943–955, 2008.4. S. M. Yu, J. Lü, and G. Chen, “Multifolded torus chaotic attractors: Design and implementation,” Chaos, vol. 17, no. 1, p. 013118, Mar. 2007.5. J. Lü and G. Chen, “Generating multiscroll chaotic attractors: Theories, methods and  applications,” Int. J. Bifurc. Chaos, vol. 16, no. 4, pp. 775–858, Apr. 2006.6. S.Özoguz, A. S. Elwakil, and K. N. Salama, ˘ “N-scroll chaos generator using nonlinear transconductor,” Electron. Lett., vol. 38, no. 14, pp. 685–686, Jul. 20027. J. Lü, X. Yu, and G. Chen, “Generating chaotic attractors with multiple merged basins of  attraction: A switching piecewise-linear control

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Authors

Mohammed Zubair; Cherif Aissi

/cademic.2. M. Higa’, D. Tawy, and S. Lord, “An introduction to labview exercise for an electronics class,” 32nd ASEE/IEEE Frontiers Education Conference Proceedings, Boston, Nov. 2002.3. A. Borisov and O. Borisova, “Automation of measurements of Semiconductor device parameters in Labview environment, member,” 6th International Siberian Workshop and Tutorial, 2005, July 1-5, Erlagol.4. I. lie, S. Hegy, and A. Gontean, “Labview implemented boundary–scan tester,” 34th Int.  Spring Seminar on Electronics Technology, pp.282-286, 2011.5. R. Pecen, MD.  Salim, and A. Zora, “A labview based instrumentation system For a wind- solar hybrid power station,” Journal of Industrial Technology, Vol. 20., Number 3, June

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2013 GSW

Authors

Cyrus Omid Abbasi

unitslippage along the drain was 5.0 mm.Based on the above findings the hypothesis of this research has been verified. The hypothesiswas to prove that the MRS suturing technique is a more reliable and effective anchoringtechnique compared to the RS suturing technique. References1. Dini, G.M., De Castillo, H.T., Ferreira, L.M., 2003, “A Simple Technique to Ensure Drain Fixation.” Journal of  Plastic Reconstructive Surgery, Vol. 112(3), pp. 923-924.2. O'Flynn, P., and Akhtar, S., 1999, “Effective securing of a drain.” Annals of the Royal College of Surgeons of England, Vol. 81, pp. 418–419.3. Hormbrey, E., Pandya, A., and Humzah, D., 2000, “Drain fixation made foolproof.” Annals of the Royal

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2013 GSW

Authors

Xavier Mirza; Amir Ali; Thomas Reyes; Jonathan Zea

the output load and capacitor in which the energy is transferred from the inductor tothe capacitor and the load. The rate of change in the inductor current 𝐼 in the on state is given bythe following equation (eq 1): ∆𝐼 =∫ 𝑑 𝐼 = ∫  𝑑𝑡 =    eq (1)D is the duty cycle. It represents the fraction of the commutation period T during which theswitch is on. Therefore D ranges between 0 (S is never on) and 1 (S is always on). During the offstate, the switch is open so the inductor current flows through the load and this can be expressedby the following equation (eq 2). ( ) ( ) ( ) ∆𝐼 =∫ 𝑑 𝐼

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2013 GSW

Authors

Lana Rings

they are failing tocommunicate. Instead, they will ascribe negative personality traits and behavior to each other.That is because different cultures tend to assign differing interpretations to specific words,phrases, texts, and situations. Thus, what may be polite interaction in one culture may be aninsult in another. Furthermore, although Participant A may have learned Participant B’s language and speak it well with him or her, nevertheless, speaking the same language does not meanassigning the same meanings to spoken or written words. As Blum-Kulka and Oshtain say,“[S]econd language speakers might fail to communicate effectively, even when they have anexcellent grammatical and lexical command of the target language”1 (my italics). In other

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2013 GSW

Authors

Oscar N. Garcia; Garima Bajwa; Cynthia L. Claiborne; Shanti R. Thiyagaraja; Mohamed Fazeen; Eric H. Pruett

 express the program pthat runs in M and produces s as an output. The smallest possible L(p) for a given s over allprograms and all machines that outputs s is the Kolmogorov measure of information in Xrelative in complexity to M represented as: KM(s) = min(L(p))+CM where CM is the number of bitsthat it takes to describe the machine M, a quantity that is independent of s. Since a Turingmachine may simulate any other machine, it may be used to estimate CM except that we cannot Proceedings of the 2013 ASEE Gulf-Southwest Annual Conference, The University of Texas at Arlington, March 21 – 23, 2013. Copyright 2013, American Society for Engineering Educationbe sure of a

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2013 GSW

Authors

Camille A. Issa

Friday Morning Session 2 - Faculty U.S. ENGINEERING EDUCATION: A GLOBAL PRESPECTIVE Camille A. Issa, PhD, PE, F. ASCE Department of Civil Engineering School of Engineering Lebanese American University Byblos, Lebanon AbstractOver the last several years a number of reports have raised concern about the growing challengeto U.S. science and technology (S&T) leadership – and long-term economic competitiveness –from both rapidly developing Asian nations and

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2013 GSW

Authors

Waqas Ali; Samir M. Iqbal

leadership in summercamps and outreach activities. Her efforts to boost the outreach activities of the College ofEngineering have inspired this work. This work has been supported through with NSF grantsECCS-1201878 and ECCS-0845669 to SMI. Proceedings of the 2013 ASEE Gulf-Southwest Annual Conference, The University of Texas at Arlington, March 21 – 23, 2013. Copyright 2013, American Society for Engineering Education References1. C. K. Lee, T. T. Wu, P. L. Liu, and S. Hsu, "Establishing a K–12 Nanotechnology Program for Teacher Professional Development ", IEEE Transactions on Education, vol. 49, no. 1, pp. 141

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2013 GSW

Authors

Dan O. Popa; Nahum Torres; Cody Lundberg

Society for Engineering Education References 1. C. McCraig, F. Arai, A. Jacoff, S. Tadokoro, M. Gaitan, “RoboCupSoccer – Nanogram Competition,” White  Paper, NIST, 2007. Available online: http://www.eeel.nist.gov/812/nanogram/white_paper.pdf 2. 2010 NIST Mobile Microrobotics Challenge, at IEEE Int’l Conf. on Robotics and Automation, Anchorage, Alaska, May 2-6, 2010. Available online: http://www.nist.gov/pml/semiconductor/robots_042710_program.cfm 3. 2013 IEEE RAS MMC Competition Rules, Available online: http://www.uta.edu/ee/ngs/mmc 4. M.R. Pac, K. Rathatha, B. Rukavina, J. Weir, “Development of Microrobotics Control System - UT Arlington Microrobotics

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2013 GSW

Authors

Tyler Crosson; Monica Hew; Bernd Chudoba; Amit Oza

step enables themto calibrate the tools used toachieve an appropriate accuracy.Throughout the course of theproject students are able to first-hand understand why certaindesign choices have been madewith the P-51 engineering teamfrom the 1940's; the capstoneteam is in the position to offerinsight on how those legacydecisions could be improvedusing technology from the 21stcentury. The first step in theproject is to choose and introducethe P-51D variant through aliterature review, brief history ofthe aircraft and also to researchthe design approach,technologies, mission profile and Figure 1 - WWII Fighter Aircraft1 Proceedings of the 2013 ASEE Gulf-Southwest Annual

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2013 GSW

Authors

Christina K. White; Richard H. Crawford

/Events/ICEE2002/Proceedings/Papers/Index/O065- O070/O069.pdf.(4) Eccles, J.S.(1994).  Understanding women’s educational and occupational choices — Applying the Eccles et-al model of achievement-related choices. Psychology of Women Quarterly, 18, 585–609.(5) Eccles, J.S. (2007). Where are all the women? Gender differences in participation in physical science and engineering. In S. J. Ceci & W. M. Williams (Eds.), Why aren't more women in science? Top researchers debate the evidence (pp. 199-212). Washington, DC: American Psychological Association.(6) Eccles, J.S., Adler, T., Futterman, R., Goff, S., Kaczala, C., Meece, J., & Midgley, C. (1983). Expectancies, values, and academic behaviors. In J. Spence (Ed.), Achievement

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2013 GSW

Authors

Ronald E. Barr

-48credit hours) in the curriculum. This later requirement is usually taught inside the program byengineering faculty. In some cases, a program can argue for some math and science contentinside of the engineering domain, but only a few of the required credits will be accepted. Proceedings of the 2013 ASEE Gulf-Southwest Annual Conference, The University of Texas at Arlington, March 21 – 23, 2013. Copyright 2013, American Society for Engineering EducationIn addition, the PEV must assess the capstone design course(s) in the program and how well theyincorporate student experiences in earlier courses. And of course, the entire required curriculumshould be adequately mapped to the

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2013 GSW

Authors

A. Baheri; Yucheng Liu P.E.; M. Hedayati

its width is 60mm. Fig. 1 sketches the configuration of thetooling. Figure 1. Configurations of the tube and diesPressurization curve during the expansion and crushing in this hydroforming process isdisplayed in Fig. 2. Figure 2. Pressurization curve during expansion and crushing processesIn the entire process, the first time period is from 0 to 17 seconds corresponds to themovement of the side dies during the performing step, and the second time period is from17 to 34 seconds refers to the movement of the upper dies during the crushing step. Thevelocities of the side and upper dies are set to be 1mm/s, therefore the distances that both Proceedings of the 2013 ASEE Gulf-Southwest Annual

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2013 GSW

Authors

Chaka Berthe; E. H. Shaban

by the test sample.Similar plots and results are obtained for the double and the triple GEM detector. For the doubleand triple GEM detector we add a second GEM below the first GEM for the double and we add athird GEM below the second GEM to form the triple GEM. Each GEM provides its ownamplification that is similar to the GEM before it. However, the numbers of the electrons that areamplified in the first GEM are further amplified by the second GEM. Furthermore, the thirdGEM amplifies the amplified electrons from the second GEM. The intent is to obtain multipleamplifications of the primary electron signal without any noise. This improves the signal to noise(S/N) ratio that is badly needed when testing dilute elements producing very small

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2013 GSW

Authors

Sara E. McCaslin

for anassignment. However, it seems logical that Monday, the beginning of the work week and of theacademic week, was the most active day for the students. Future WorkThis case study is currently being followed up by a second online course, with a similar format,for which both overall course access statistics and individual course material statistics are beinggathered. A comparison will be made between results of this research and the new results, aswell as a look into what course materials the students actually use and which they may beignoring. References1. S. Kariya, 2003, "Online Education Expands and Evolves," IEEE Spectrum, vol. 40, no. 5, pp

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2013 GSW

Authors

Eric Haney; Lex Gonzalez; Amen Omoragbon; Thomas McCall; Xiao Peng; Vincent Ricketts; Jon Crosley; Bernd Chudoba

Results & Comparison SPG Actual Units %Error Orbital Weight 1,207.0 1,237.2 kg 2% Mercury Capsule Takeoff Weight 1,978.1 1,938.7 kg 2% Orbital Velocity 7,650.5 7,858.0 m/s 3% Gross Weight 155850.7 116,074.3 kg 34% Atlas Launch Vehicle Height 27.4 25.0 m 10% Diameter 3.7 3.0 m 20% Thrust 1,986,887.1 1,587,192.2 N 25

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2013 GSW

Authors

Andy Walker; Bernd Chudoba

] Air Force Institute of Technology, USAF Wright-Patterson AFB, 1977.13. Harloff, G. J. and B. M. Berkowitz. “HASA - Hypersonic Aerospace Sizing Analysis for the Preliminary Design of Aerospace Vehicles,” (NASA-CR-182226). NASA, 1988.14. Howe, D. Aircraft Conceptual Design Synthesis. Professional Engineering Publishing Ltd., London, 2000.15. Isikveren, Askin T. “Quasi-Analytical Modelling and Optimisation Techniques for Transport Aircraft Design,” (Doctoral Thesis Report 2002-13). Royal Institute of Technology, Stockholm, 2002.16. Jernell, Lloyd S. et al. “Design of a Large Span-Distributed Load Flying-Wing Cargo Airplane,” (NASA- TM-X-74031). NASA Langley Research Center, Vought Corporation, 1977.17. Kücheman, Dietrich. The

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2013 GSW

Authors

Raj Desai

). The FRT is essentially the same as the Current Reality Tree (CRT);however the injection(s) identified in the EC are placed into the tree to create a vision of the“future reality.”  We were trying to grow both the engineering and technology programs. Both programs werecompeting for some of the same group of students. Offering evening courses was not enough togrow the technology programs, as the engineering programs also taught evening courses. Manyof our working students are on call and have to work odd and long hours when they are on-duty.This makes attending regular classes difficult, if not impossible. The constraint was overcome byoffering new online courses that met the needs of these students and their employers. Thestudents were able to

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2013 GSW

Authors

Yucheng Liu P.E.

 PropertiesEvaluating thermodynamic properties of pure substances based on given conditions is animportant skill in solving thermodynamic problems. Engineers usually have such problemswhen analyzing thermodynamic cycles and systems. Besides P, V(v), T, other important Proceedings of the 2013 ASEE Gulf-Southwest Annual Conference, The University of Texas at Arlington, March 21 – 23, 2013. Copyright©2013, American Society for Engineering Educationthermodynamic properties include internal energy (u), enthalpy (h), and entropy (s). Thesame substance may have different properties at different states: liquid, liquid-vapormixture, and vapor state. In order to correctly identify the properties, students have to