Conference Session

NSF Grantees Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Ramachandran Venkatasubramanian, Arizona State University; Guillermo G. Mendez, Arizona State University; Brian Skromme, Arizona State University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

 k BT Fn ( x1 ) = Fn ( xo ) + k BT ln 1 + ∫ n dx′ − x p ≤ x < xn  xo qDn N c   for the electron quasi-Fermi level, Fn, for example. Here, xo and x1 are two successive points, kBis Boltzmann’s constant, T is absolute temperature, Jn is electron current density, Ec is theconduction band edge, q is the magnitude of the electronic charge, Dn is the diffusivity of theelectrons, Nc is the effective density-of-states in the conduction band, and xp and xn are the widthsof the depletion region on the p-side

Conference Session

Laboratory Experiences with Signal Processing and Controls

Collection

2014 ASEE Annual Conference & Exposition

Authors

Eric Constans, Rowan University; Mariaeugenia Salas Acosta; Krishan Kumar Bhatia, Rowan University; Hong Zhang, Rowan University; Jennifer Kadlowec, Rowan University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

battery is calculated as: ܳ ܱܵ‫= ܥ‬ + ܱܵ‫ܥ‬଴ (9) ‫ܥ‬௕௔௧where Q is the amount of charge that has entered the battery, ‫ܥ‬௕௔௧ is the capacity of the battery(1.4Ah) and SOC0 is the previous state of charge. The amount of charge that has entered thebattery is: ܳ = න ݅௕௔௧ ݀‫ݐ‬ (10)where ݅௕௔௧ is the current flowing in or out of the battery, which is measured using a bidirectionalcurrent sensor (ACS711EX -15.5A to +15.5A). After SOC has been calculated, it is stored asSOC0 for the next time step. Note that SOC0

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Eric Constans, Rowan University; Mariaeugenia Salas Acosta; Jennifer Kadlowec, Rowan University; Bonnie L. Angelone, Rowan University, Department of Psychology

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

account it will only be accurate when there is no load applied to the system, however,after this step the PID controller is used for fine-tuning the speed.BatteryFor programming purposes the state of charge (SOC) of the battery is calculated as: ܳ ܱܵ‫= ܥ‬ + ܱܵ‫ܥ‬଴ (9) ‫ܥ‬௕௔௧where Q is the amount of charge that has entered the battery, ‫ܥ‬௕௔௧ is the capacity of the battery(1.4Ah) and SOC0 is the previous state of charge. The amount of charge that has entered thebattery is: ܳ = න ݅௕௔௧ ݀‫ݐ‬ (10)where ݅௕௔௧ is

Conference Session

Innovative Uses of Technology and Techniques for Laboratory Exercises

Collection

2012 ASEE Annual Conference & Exposition

Authors

Richard Y. Chiou, Drexel University; M. Eric Carr, Drexel University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

, Incorporated Date: 2002.4. SME – Machine tools begin connecting to the Internet Manufacturing, 9/2001.5. Higley, J., McLees, C., and Zahraee, M., “A Case Study in Laboratory-Based Online Courses – TeachingCNC Programming,” Proceedings of IMECE’03 2003 ASME International Mechanical EngineeringCongress, Washington, D.C., November 15–21, 2003.6. Hu, H., Yu, L., Tsui, 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, 2001.7. Potgieter, J and Bright, G., “Modular Mechatronics Control System for Internet Manufacturing,”Proceedings of the 18th International Conference on CAD/CAM, Robotics and Factories of the Future,Porto, Portugal, pp. 529

Conference Session

DELOS Best Paper Nominations

Collection

2008 Annual Conference & Exposition

Authors

Richard Drushel, Case Western Reserve University; John Gallagher, Wright State University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

2000 27/30 C H GLSC N P 9/9 12 Spr. 2001 28/29 C H GLSC N P 4/4 13 Fall 2001 26/30 C H GLSC N P 7/8 14 Spr. 2002 25/27 C H GLSC N Q 1/1 15 Fall 2002 27/30 C H GLSC N Q 15/15 16 Spr. 2003 27/28 C H GLSC N R 12/12 17 Fall 2003 27/30 C H GLSC

Conference Session

Division Experimentation & Lab-Oriented Studies: Electrical and Control Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Ismail Guvenc, Florida International University; Natalie Paul, Florida International University; Rhys Bowley, National Instruments; Maria Lorelei Fernandez, Florida International University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

tohave a better learning experience, some of the answers from the students include the following:  “The lab instructions were very detailed until the end. However, the part where we had to graph the I and Q components of the signal was not clear. Lab procedures could be improved.”  “Manual is too long. For pre-lab part, it does not clearly state what is expected from us, which makes us struggle much more than required to learn.”  “Better introduction to LabVIEW and the USRP (is needed)”.  “Since LabVIEW is new to many of us, it would be greatly helpful if the lab process were taken step-by-step. Perhaps we can start with an easy example, such as an AM Demodulator and understand what is happening in the process in

Conference Session

DELOS Best Paper Nominations

Collection

2009 Annual Conference & Exposition

Authors

Gene Liao, Wayne State University; Chih-Ping Yeh, Wayne State University; Qunfang Liao, Panasonic Automotive Systems

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Electronics, vol. 1, pp. 80-85, 1995.12. Robert Bosch GmbH, “CAN Specification” Version 2.0 ISO/TC22/SC3/WG1 document 1992.13. C.K. Chen, C.P. Hwang, and C.C. Su, “Implementation of a PC-based ABS system with CAN-bus interface on an experimental platform,” Intl. J. of Vehicle Design, vol. 37/4, pp. 343-357, 2005.14. L. Xie, Q. Tian, and H. Ogai, “Virtual vehicle system development and its application for ABS design based on distributed network,” Intl. J. of Computer Applications in Technology, vol. 25/4, pp. 209-217, 2006.15. J.D. Lee and B. H. Kantowitz, “Network analysis of information flows to integrate in-vehicle information systems,” Intl. J. of Vehicle Information and Communication Systems, vol. 1/1, pp. 24-43, 2005.16. M. Ehsani, Y

Conference Session

NSF Grantees Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Chetan Sankar, Auburn University; P.K. Raju, Auburn University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

real-worldinto engineering classrooms at Hispanic-serving institutions, improve the higher-level cognitiveskills of the students, and provide materials that will meet the requirements of ABET 2000. Wehad about 40 participants from Chile and 6 participants from the U.S. Most of the participantsfrom Chile were either the deans, heads of department, or senior faculty from the engineeringschools. Dr. Susan Kemnitzer, NSF, gave an excellent keynote address for the participants andhad a lively Q&A session. We conducted an evaluation of the workshop. At the end of the meeting, the participants were required to assess the usefulness andorganization of the workshop by filling out a questionnaire comprising of 8 items. Items were in

Conference Session

Division Experimentation & Lab-Oriented Studies: Bring-Your-Own-Experiments 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Roger A Beardsley PE, Central Washington University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

No. 2 February 2007American Chemical Society(10) Vapor Pressure And Normal Boiling Point Predictions For PureMethyl Esters And Biodiesel Fuels Yuan, W; Hansen, A.C.; Zhang, Q;Fuel 84 (2005) 943–950 Page 26.318.12 Appendix: Biodiesel Lab Activity Worksheet Biodiesel Processing LabObjectives: To determine process parameters for a chemical conversion process: converting wastedeep fryer oil (triglyceride (TG) source) into fatty acid methyl ester (FAME = biodiesel) using ahomogeneous alkaline catalyst based process.Tasks:1. Listen to process outline presentation

Conference Session

Innovations in Mechanical Engineering Experiments and Labs

Collection

2007 Annual Conference & Exposition

Authors

Afshin Goharzadeh, The Petroleum Institute; Peter Rodgers, The Petroleum Institute; Christian Mandel, The Petroleum Institute

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Silicone oil Laser Internal cylindrical enclosure (water) Figure 3. PIV experimental set-up for vertical jet flow characterization. PIV images and its corresponding 2D velocity field are shown in figure 4, as afunction of enclosure disk height, H. As can be seen in figure 4(c), the fluid exits thepipe and initially forms a jet-type structure as it enters the enclosure. The flow rate insidethe pipe is measured using a flowmeter, Q = 2 l/min, which corresponds to a mean jet Page

Conference Session

Laboratory Experiences in Electronics and Circuits

Collection

2013 ASEE Annual Conference & Exposition

Authors

Avik Dayal, Virginia Tech; Kathleen Meehan, Virginia Tech; A. A. (Louis) Beex, Virginia Tech

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

filter for the POTS application with a 400 to 3400 Hz passband. A good approach tothis problem was to design two cascaded filters that had different center frequencies andbandwidths while keeping the Q constant (ratio of center frequency to bandwidth) of thecascaded filter sections the same; this normalization maintains the shape of the (Bode plot)magnitude response when the center frequency is varied over the (Bode plot) logarithmicfrequency scale. Once students realized this, they could adjust their design until they met thespecifications of their filter. In many design results, students designed for two filter sections thathad center frequencies close to the cutoff frequency specifications of the filter. For instance, onesample design had two

Conference Session

Mechanical and Architectural Engineering Laboratories

Collection

2010 Annual Conference & Exposition

Authors

Anthony Toyama, Texas A&M University at Qatar; Reza Sadr, Texas A&M University at Qatar

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

o S PVC  S PSIA P T  S PSIA P T • A E AP • NI PXI- Q DAQ • Page 15.739.17

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jitendra S. Tate, Texas State University, San Marcos; Dominick Esperanza Fazarro, University of Texas at Tyler; J. Craig Hanks, Texas State University, San Marcos; Walt Trybula, Texas State University & Trybula Foundation, Inc.; Satyajit Dutta, Texas State University; Robert McLean, Texas State University; Fritz Allhoff, Western Michigan University

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

) 20– 3132. Wiesner M., Bottero J. (2007), “Environmental Nanotechnology: Applications and Impacts of Nanomaterials“,ISBN-10: 0071477500, McGraw-Hill.33.Sellers K. , Mackay C., Bergeson L. , Clough S., Hoyt M., Chen J., Henry K., and Hamblen J. (2008),“Nanotechnology and the Environment”, ISBN-10: 1420060198, CRC Press.34.Shen, C., Yang, W., Liu, Q., Maki, H., & Zhang, Z. (2009, June). A Potential Useful Method for CalculatingRelative Safety Index of Nanoparticles. Bioinformatics and Biomedical Engineering , 1-4.35.Marra, J., Voetz, M., & Kiesling, H.-J. (2010). Monitor for Detecting and Assessing Exposure to AiborneNanoparticles. Journal of Nanoparticle Research , 12 (1), 21-37.36.Hansen, S. F., Maynard, A., Baun, A., & Tickner, J

Conference Session

Laboratory Experiences in Signal Processing and Controls

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ding Yuan, Colorado State University - Pueblo

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

AREA 40cm 15cm 15cm RED AREA Figure 3: The working area layout of the projectAs Aristotle19 mentioned, “the kind of questions we ask are as many as the kinds of things whichwe know,” the students deepened their understanding of the problem through these Q&Asessions. And the importance of understanding the problem in a design procedure wasstrengthened during the discussion as well. Then, a more detailed project description was givenas: design a sorting system to satisfy the following requirements: 1. The whole system (except arms/sensors) should be placed in the shaded green area in

Conference Session

Design of Lab Experiments II

Collection

2007 Annual Conference & Exposition

Authors

Gerald Recktenwald, Portland State University; Robert Edwards, Pennsylvania State University-Erie

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

components of the laboratory apparatus. A blower draws air through a ductconstructed from acrylic tubing of two diameters. The inlet end of the duct is open to thelaboratory, and has diameter d1 and length L1. A longer section of tubing with diameter d2 > d1connects the inlet section to the blower. The transition from d1 to d2 is abrupt. Page 12.1562.8 Inclined manometer Velocity Blast ∆p probe gate Q

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Khaled Sobhan, Florida Atlantic University; Edgar An, Florida Atlantic University; Ryne A. Sherman; Nancy Romance, Florida Atlantic university ; Nicolas A. Brown, Florida Atlantic University

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NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

investigation to explore this disconnect in the context of undergraduate engineering education. The primary tasks of the research are: (i) To assess the Faculty knowledge of SDT; (ii) To develop a measurement framework for assessing the classroom environment as it relates to SDT; and (iii) To determine the association among Faculty knowledge of SDT, student motivation, learning environment, and student learning.6. A longitudinal, quasi-experimental design is employed where both instructors and students in the various Engineering Departments at Florida Atlantic University (FAU) are the participants. The research design and measurement framework (e.g. Learning Climate Questionnaire or LCQ; Riverside Situational Q-sort

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Monica E. Cardella, Purdue University, West Lafayette; Marisa Wolsky, WGBH Educational Foundation; Christine Andrews Paulsen, Concord Evaluation Group; Tamecia R. Jones, Purdue University, West Lafayette

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NSF Grantees Poster Session

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Division Experimentation & Lab-Oriented Studies

and academic achievement: Theoretical perspectives. New Jersey: Lawrence Erlbaum and Associates, 1-38.25. Tai, R. H., Liu, C. Q., Maltese, A. V. & Fan, X. (2006). Planning early for careers in science. Science, Vol Page 24.746.14 312, 26 May, 2006.26. International Center for Home Education

Conference Session

Fluid Mechanics Experiments and Laboratories

Collection

2008 Annual Conference & Exposition

Authors

MURAT OKCAY; BILGEHAN UYGAR OZTEKIN

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

  Region Flow Separation Figure 9. Gradual step flow model exampleThe experiment clearly shows that the flow accelerates as the width of the channel decreases.This is a demonstration of continuity. The incompressible continuity law states that:Where Q is the flow rate, A is the cross sectional area and u is the velocity. The vector field canalso be plotted as can be seen in Figure 10. Page 13.463.10 Figure 10. Vector field plot Proceedings of the 2008 American Society for Engineering Education Annual Conference & Exposition

Conference Session

Division Experimentation and Lab-Oriented Studies - Pedagogy of Lab Courses

Collection

2017 ASEE Annual Conference & Exposition

Authors

John M. Santiago Jr, Colorado Technical University; Jing Guo, Colorado Technical University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

conduct ofthe required Q&A chat sessions are discussed next.The second concept involves minimal or no lecture material presented during the online chat sessionswhen students and instructor meet synchronously on a weekly basis, twice a week. The College ofEngineering determined that there is very little time to providea thorough lecture-based material during online sessions.The online chat concept allows more student engagement as afollow-up to the multimedia content presented during theweek. The chat sessions are recorded. If students are unableto attend the chat session, then they must view the recordingand turn in an assigned project or solve a particular homeworkproblem described during the chat session. Figure 4 depictsthe need for

Conference Session

Division Experimentation & Lab-Oriented Studies: Laboratory Pedagogy

Collection

2016 ASEE Annual Conference & Exposition

Authors

Bridget M. Smyser, Northeastern University; Sahar Tariq, Northeastern University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Conference Session

Division Experimentation & Lab-Oriented Studies: Aero and Mechanical Engineering

Collection

2016 ASEE Annual Conference & Exposition

Authors

Mary Cardenas, Harvey Mudd College; R. Erik Spjut, Harvey Mudd College

Tagged Topics

Diversity

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

experiment with actual experimental results. 3. Demonstrate the beginnings of professional practice: a. Effectively communicate in written form the design, completion, and analysis of experiments to answer open-ended questions. b. Effectively communicate by oral presentation and Q-and-A session the design, completion, and analysis of experiments to answer open-ended questions.We have assessed these objectives with both direct and indirect measures since the beginning ofthe course. A full discussion of the objectives, assessment, and changes to the course far exceedsthe scope of this paper. For this paper we are focused on Objectives 1b (data acquisition), 2a(design & complete experiments), and 2c (compare

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Alice L. Pawley, Purdue University, West Lafayette; Stephen R. Hoffmann, Purdue University, West Lafayette; Monica E. Cardella, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University and Central Queensland University; Ranjani Lakshman Rao, Brian Lamb School of Communication, Purdue University; Abigail R. Jahiel, Illinois Wesleyan University; Thomas P. Seager, Arizona State University; Linda Vanasupa, California Polytechnic State University

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NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

, pg 235-250, 2010.15. Mihelcic, J.R., J.C. Crittenden, M.J. Small, D.R. Shonnard, D.R. Hokanson, Q. Zhang, H. Chen, S.A.! Sorby, V.U. James, J.W. Sutherland, J.L. Schnoor, “Sustainability Science and Engineering: Emergence of a New Metadiscipline,” Environmental Science & Technology, 37(23):5314-5324, 2003.16. Orr, David (1997) "Architecture as Pedagogy II" Conservation Biology 11(3) 597-60017. Parks, Sharon Daloz (2005) Leadership Can Be Taught, Ch 1. Harvard Business School Press.18. Petersen, John E (2008) "A Green Curriculum Involves Everyone on the Campus" Chronicle of Higher Education June 20, 2008 54(41) A2519. Ponting, Clive, 1993. A Green History of the World: The Environment and the Collapse of Great

Conference Session

Laboratory Experiences in Mechanical, Materials and Thermal Systems

Collection

2013 ASEE Annual Conference & Exposition

Authors

Roger A Beardsley PE, Central Washington University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

10 Effectiveness 50 TotalMET314 Energy Consumption Lab Typical Data & ResultsRoom Lights Data:Assume 35 wks/yr, 10 hr/day x 5 days per week = 1750 hr/yrLocal Electricity E100 Rate = $0.0593/kw-hrEnergy Before, Room 215: 196 bulbs @ 40 W ea = 7840 WCost before = 7.84 kW x 1750 hr/yr x $0.0593/kW-hr = $813.60/yrEnergy After, Room 205 (building remodel): 56 bulbs @ 32 W = 1792 WCost After = 1.792 kW x 1750 hr/yr x $0.0593/kW-hr = $185.96Shower Energy Data:Mass = (10 +- 1 min) x (2.5 +- .5 gpm) = 25 gal x 3.7854 lit/ 1gal x .990kg/lit = 93.69 kgEnergy Q = m Cp dT = 93.69 kg x 4.18 kJ/kg-C x (30 +-2 C) = 11749 kJ = 3.263 kW-hrEstimated Energy Cost =3.263 kW-hr/shower x $0.0593/kw-hr = $0.193 / showerEnergy Cost