Conference Session

First-year Programs Division Technical Session 3: Diversity and Multicultural Influences in the First Year

Collection

2015 ASEE Annual Conference & Exposition

Authors

Isabel Cristina Jimenez-Useche, School of Engineering Education, Purdue University; Matthew W. Ohland, Purdue University; Stephen R Hoffmann, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

- content/uploads/2012/01/EUR-ACE_Framework-Standards_2008-11-0511.pdf.(13) Passow, H. J. J. Eng. Educ. 2012, 101, 95. Page 26.1177.10(14) Brett, J.; Behfar, K.; Kern, M. C. In The Essential Guide to Leadership; Harvard Business Review, 2009; pp. 85–97.(15) Halverson, C. In Effective Multicultural Teams: Theory and Practice; Halverson, C. B.; Tirmizi, S. A., Eds.; Springer, 2008; pp. 81–110.(16) Pelled, L. H.; Eisenhardt, K. M.; Xin, K. R. Adm. Sci. Q. 1999, 44, 1.(17) Watson, W. E. Acad. Manag. J. 1993, 36, 590.(18) Horwitz, S. K. Hum. Resour. Dev. Rev. 2005, 4, 219.(19) Manning, M. L.; Lucking, R. Clear

Conference Session

Biological & Agricultural Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Janie M. Moore, Texas A&M University

Tagged Divisions

Biological and Agricultural Engineering

into the curriculum at an early stage. AlthoughLOs should represent general knowledge, skills and abilities that all BAE students possess, theycan still be characterized under a particular concentration. This goes along with the diversetraining of a BA engineering graduate and helps us understand how they are so well versed inmany areas of the discipline.Table 2. List of Biological and Agricultural Engineering Concentrations and the associatedlearning outcomes (a – at). Learning Concentration Outcomes a-f Core Processes g-j; aq-at Power & Machinery – Design of Ag Systems, Machinery, and Processes; Electrical Systems k-q; ae-al Soil & Water – Water/Soil/Air Conservation

Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University-Main Campus, West Lafayette (College of Engineering); Kerrie A. Douglas, Purdue University-Main Campus, West Lafayette (College of Engineering); Peter Bermel, Purdue University-Main Campus, West Lafayette (College of Engineering); Hillary E. Merzdorf, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

.[11] R. Deng, P. Benckendorff, and D. Gannaway, “Progress and new directions for teaching and learning in MOOCs,” Computers & Education, vol. 129, pp. 48-60, 2019.[12] Q. Li, Q and R. Baker, “The different relationships between engagement and outcomes across participant subgroups in Massive Open Online Courses,” Computers & Education, vol. 127, pp. 41-65, 2018.[13] C. C. Gray and G. Perkins, “Utilizing early engagement and machine learning to predict student outcomes,” Computers & Education, vol. 131, pp. 22-32, 2019.[14] H. Qu and Q. Chen, “Visual analytics for MOOC data,” IEEE Computer Graphics and Applications, vol. 6, pp. 69-75, 2015.[15] A. F. Wise, “Designing pedagogical interventions to support student

Conference Session

International Collaborations

Collection

2018 ASEE Annual Conference & Exposition

Authors

Jiaojiao Fu, Beihang University; Qing Lei, Beihang University; Deborah M. Grzybowski, Ohio State University; Dongya Cheng, Tibet University

Tagged Divisions

International

tobetter explore the educational contents of engineering ethics education under globalization.AcknowledgementsWe acknowledge the support of the Scholarship from BUAA. We would like to express oursincere appreciation to the anonymous reviewers, whose constructive feedbacks and insightshelped to improve the quality of the paper.References[1] S. Yu, “New approaches to engineering ethics research,” Journal of Social Science of Harbin Normal University, vol. 7, no. 4, pp. 11-13, 2016.[2] S. Zhang, “Review of domestic engineering ethics research,” Journal of Hunan Institute of Engineering (Social Science Edition), vol. 15, no. 4, pp. 87-89, 2005.[3] Z. Li, H. Cong, Q. Wang, etc., Engineering Ethics. Beijing: Tsinghua University Press

Conference Session

PSW Section Meeting Papers - Disregard start and end time - for online paper access only

Collection

2019 Pacific Southwest Section Meeting

Authors

Adrian Bituin, ASPIRES Program: Canada College & San Francisco State University; Krystal Kyain, Skyline College; Yardley Ordonez, Chico State University; Alec William Maxwell, San Francisco State University; Wen Li Tang, San Francisco State University; Nicholas Langhoff, Skyline College; Wenshen Pong P.E., San Francisco State University; Cheng Chen, San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Amelito G Enriquez, Canada College

Tagged Topics

Diversity, Pacific Southwest Section Meeting Paper Submissions

and ensure thatthey are moving along the right path toward a meaningful research project. Clearly identifiedexpectations and research outcomes are also crucial to engage students by providing themfeasible goals and allowing them to set daily and weekly tasks for the goals. Lastly, asengineering is practical science, a hands-on experiment is another engaging means to bringexcitement to participating students. For the future implementations, these approaches will beapplied and their effects on the program outcomes will be evaluated.AcknowledgementThe authors would like to thank the support from the U.S. Department of Education through MinorityScience and Engineering Improvement Program (Award – #P120A150014).References1. Xia, L., Xia, Q

Conference Session

PSW Section Meeting Papers - Disregard start and end time - for online paper access only

Collection

2019 Pacific Southwest Section Meeting

Authors

Michael Gee, Canada College; Anthony Akash Lal; Alex E Hercules; Tyler Sheaves, San Francisco State University; Amelito G Enriquez, Canada College; Cheng Chen, San Francisco State University; Hao Jiang, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Wenshen Pong P.E., San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University

Tagged Topics

Diversity, Pacific Southwest Section Meeting Paper Submissions

of identification numbers such as serial numbers, secret key, configuration bits, etc. A typical non-volatile latch must have the ability to be programmed to a binary state and retain this binary state even in the case of power down. The state of the latch can be queried by other components as long as system power is present. Looking at Figure 3, a basic latch can have control inputs for reading or sensing the stored data (‘SE’), a data input (‘D’) whose state is stored to the latch, and an output which presents its current binary state (referred to as ‘Q’). By storing the state of the latch in the anti-fuse element, that data is stored permanently in a non-volatile form. An additional programming control input write enable

Conference Session

New Directions for ET

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Michael Shenoda, State University of New York

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology

Guidebook provided a number of evaluation areas onthe basis of, not only cost, student and faculty use, but perceptions of OER (mainly focused onstudent perception). The Guidebook also provided a menu of survey questions that could directlybe provided to students to evaluate these areas. Thus, the Guidebook was selected as the primarysource of questions used to evaluate the “attitudes” of students regarding OER implementation inthe CON 357 course. The survey questions used are outlined in Table 4.Table 4. Survey questions for evaluation of impacts of OER implementation. Q# Question 1 In general, how often do you purchase the required texts for the courses you take? 2 How much do you typically spend on texts each semester? 3 For a typical

Conference Session

Construction Engineering Division Technical Session 5

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Kelli R. Kopocis-Herstein, University of Nebraska, Lincoln; Terry L. Stentz, University of Nebraska, Lincoln

Tagged Divisions

Construction Engineering

so that they can know, manage, andmotivate others more effectively. The outcome is a more fully integrated young constructionprofessional who is better prepared to plan, communicate, lead, motivate, develop, and leveragehuman relationships for stronger commitment, higher performance, and teamwork.References[1] M. Jaeger and D. Adair, "Human factors simulaion in construction management," European Journal of Engineering Education, vol. 35, no. 3, pp. 299-309, 2010.[2] J. Wang, P. W. Zou and P. P. Li, "Critical factors and paths influencing construction workers' safety risk tolerances," Accident Analysis & Prevention, vol. 93, pp. 267-279, 2016.[3] G. Ye, Q. Tan, X. Gong, Y. Wang and Q. Liu, "Improved HFACS on Human Factors of

Conference Session

Best Zone Paper Competition

Collection

2007 Annual Conference & Exposition

Authors

Mark Miles, United States Military Academy; C.M. Chewar, United States Military Academy

their learning during the second half of the semester. Pre Mid-Term Post Mid-Term Lab1 Lab2 Lab3 Lab4 Lab5 Lab6 Trial 1 3 3.3 3.1 4 4.2 4.3 Trial 2 3.3 3.8 3.6 3.9 4 4.1 Q: How much did you learn from this Lab Assignment? (0-5, 0 being lowest) Table 2: Student feedback from Mid-Course and End-Course Survey Pre Mid-Term Post Mid-Term Lab1 Lab2 Lab3

Conference Session

Computing Tools for Engineering Education

Collection

2006 Annual Conference & Exposition

Authors

William Josephson, Tuskegee University; Jaya Krishnagopalan, Tuskegee University; Nader Vahdat, Tuskegee University

Tagged Divisions

Computers in Education

anequation is not explicit in an unknown variable. Such situations are common in chemicalengineering courses starting with the sophomore year. Figure 3 illustrates a case fromthermodynamics4 in which a given equation relates τ, a dimensionless variable equal to atemperature divided by the initial temperature To, to other parameters such as heat transfer Q, thegas constant R, the initial temperature To, molar amount n and a heat capacity relationshipdependent on the material (parameters A, B, C and D). Q = nR[ATo(τ-1) + BTo2 (τ2-1)/2 + CTo3 (τ3-1)/3 + D(τ-1)/τTo]As the equation is cubic in τ it is not able to be solved analytically by first year students.However, an iterative approach (or “trial and error” in student-speak) does

Conference Session

Using graphics in the rest of the engineering courses

Collection

2013 ASEE Annual Conference & Exposition

Authors

Richard W Marklin Jr, Marquette University; Jay R. Goldberg P.E., Marquette University; Mark Nagurka, Marquette University

Tagged Divisions

Engineering Design Graphics

1st Class 8th Class 3 2 1 A B C D E F G H I J K L M N O P Q R S T U V StudentFigure 7. Reviewer 1 scores of the sketches of the pipe fitting drawn in the first and eighthclasses (1= poor, 7=excellent). Scores for 15 students improved (green), 3 decreased (red), and 4stayed the same. 7 6 5 1st Class Score 4 8th

Conference Session

New Trends in ECE Education I

Collection

2013 ASEE Annual Conference & Exposition

Authors

Ali Mazloomzadeh, Florida International University; Mustafa Farhadi, Florida International University; Osama A. Mohammed, Florida International University

Tagged Divisions

Electrical and Computer

-circuit method”, the “look-up table method” and the “curve-fitting method”. These methods arebased on the data which show the characteristics of the PV panel at different environmental andworking conditions. The direct methods include “artificial intelligence method”, “differentiationmethod”, “P&Q method”, and so on. The direct methods are more robust i.e. prior knowledge ofthe PV parameters is not required. However, voltage or current measurement and a feedbackloop are necessary for the converter control circuit 2. Page 23.655.4Figure 3 shows the schematic diagram of photovoltaic system with MPPT controller. The PVmodule and the dc bus are

Conference Session

Computer-Based Measurements

Collection

2003 Annual Conference

Authors

Timothy Cooley; Jeff Randall; Terrence O'Connor; Nghia Le

other input of the AND gate by applying+5V to it. In this manner the AND gate is serving as a buffer. When a logic 1 is applied by theparallel port the counter resets. A one-shot is used to advance the counter. The chip that is usedis a 74221. The Q output of the one-shot is connected to the Clock A input of the counter. Theone-shot is setup to have a Q output pulse width of approximately 76 ms to give adequate time toallow for an A/D conversion of the analog channel connected to the AD595. The counteradvances by a count of one when a pulse from the one-shot is applied to the counters clock Binput. One of the control lines of the parallel port is connected to the B input of the one-shot tocontrol when the counter advances.The last component

Conference Session

Computers and Software in Teaching Mathematics

Collection

2010 Annual Conference & Exposition

Authors

Cynthia Young, University of Central Florida; Michael Georgiopoulos, University of Central Florida; Tace Crouse, University of Central Florida; Alvaro Islas, University of Central Florida; Scott Hagen, University of Central Florida; Cherie Geiger, University of Central Florida; Melissa Dagley-Falls, University of Central Florida; Patricia Ramsey, University of Central Florida; Patrice Lancey, University of Central Florida

Tagged Divisions

Mathematics

Q Heat flo w bright. x =0 x fin C) +42.48 [W] x=L c ross

Conference Session

NSF Grantees Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Nathan Klingbeil, Wright State University; Byron Newberry, Oklahoma Christian University of Science and Arts; Anthony Donaldson, California Baptist University; Joan Ozdogan, Chantilly High School Academy

.!948;-349!02,230!45-!.-9<739-! !! =>?$!)@)=! ! :7.!-/65!A8-94273B!!D74-!A8-94273!38EF-.9!G-.-!:.7E!>?$!7.2023/HB!! J/HH!K@@L! ! D8EF-.!7:!.-9<73;-.9!/.-!23!C!IB! ! ! ! ! ! !! PK!948;-349U! ! ! ! ! ! ! ! ! ! ! ! ! !! ! ! N)! ! NK! ! NO! ! NM! ! NP! ! NQ! !! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ?4.730HR!! +0.--! ! OBS*Q! C)PI! OBSQ! C)QI! OBK*! CK)I! OBMP! CK@I! OBMK! CKPI! OBQM! C)*I!! +0

Conference Session

Projects in ECE

Collection

2014 ASEE Annual Conference & Exposition

Authors

Wookwon Lee, Gannon University; Nicholas B. Conklin, Gannon University

Tagged Divisions

Electrical and Computer

(k)” categories, and they haveimproved their ability (or knowledge or understanding, as applicable) in those categories. Forsome questions, e.g., Q7 & Q8, Q11 & Q12, etc., one or two students responded with Neutraland/or Not Applicable, which might have occurred for some of the new team members. Table 2. Survey Questions Q# Description Q1 The extracurricular project activities provided me with an opportunity to improve my ability to apply knowledge of mathematics, science, and engineering. Q2 Participating in the extracurricular project activities, I have improved my ability to apply knowledge of

Conference Session

New Electrical ET Course Development

Collection

2004 Annual Conference

Authors

James Zhang

Gilbert-cell based, double-balanced modulator/mixer (for example, NE602from Philips) 8,9 . For QPSK, an I/Q modulator module is used (for example, Mini-Circuits’ZFMIQ-10M). The modulated signal center frequency is at 10.7MHz. Students will learn differentaspects of modulation: • RF bandwidth - in the case of FM transmission, students are able to measure the bandwidth and verify Carson’s rule as stated in section II. • Relationship between carrier frequency and data rate - in the case of QPSK signaling, students can measure the RF bandwidth of the modulated signal, and relate the required bandwidth to data rate of the transmitted baseband signal. • Different means of transmission - for example, Double-Side-Band (DSB

Conference Session

International Collaborative Efforts

Collection

2003 Annual Conference

Authors

Thomas Carney; Michael Nolan; James Lampe; Raymond Thompson

Session 2260 A Faculty-Led Global Study Trip for Student Credit Michael S. Nolan, Raymond E. Thompson, Thomas Q. Carney & James E. Lampe Purdue UniversityAbstractThe Aviation Technology (AT) Department of Purdue University is now entering the third year ofan ongoing globalization effort. Activities have included visits to numerous aviation programsaround the world for the purpose of setting up aviation specific Study Abroad opportunities. Thedepartment offered an aviation law course in Oxford, England for Aviation Technology studentsin 2002. The Aviation Management major is now requiring a

Conference Session

Impact of the Gulf Coast Oil Spill on Chemical Engineering Education & Misc.

Collection

2011 ASEE Annual Conference & Exposition

Authors

Michael A. Smith, Villanova University; Noelle K. Comolli, Villanova University

Tagged Divisions

Chemical Engineering

(U) are calculated in the usualmanner set forth in any standard heat transfer text, see for example Holman[3]. In addition, thetechnical evaluation of an immersion chiller in this application has been covered by Joye andSmith.[4] Q = mcool ⋅ Cp ⋅ (Tcw,out − Tcw,in ) = U ⋅ Aex ΔTLM [1]where Q is the heat transfer rate, mcool is the cooling water flow rate, Cp is water heat capacity,Tcw,out is the cooling water outlet temperature, Tcw,in is the cooling water inlet temperature, U isthe overall heat transfer coefficient based on Aex , the outside surface area of the cooling coils,and ΔT LM is the log-mean average temperature driving force. Students are asked to calculate Ufor each data set and plot

Conference Session

Online Learning

Collection

2012 ASEE Annual Conference & Exposition

Authors

Grant Huang, University of Texas, San Antonio; Andreas Gampe, University of Texas, San Antonio; Arsen Melkonyan, University of Texas, San Antonio; Murillo Pontual, University of Texas, San Antonio; David Akopian, University of Texas, San Antonio

Tagged Divisions

Computers in Education

collectted from thee users were very posittive. Some uusers asked d forsome otther features, among thhem, such ass experimen nt control sw witch functiion among the tusers w without the queuing q con nstraints, cam mera contro ol (i.e. zoom m in, zoom oout and chan

Collection

2001 Annual Conference

Authors

Perry R. McNeill; Charles Bittle

(9) where, Z = 2 or 3 for 95% or 99% confidence, respectively, h = half-interval width (0.5 LSB for DNL and 0.25 LSB for INL), p = proportion of sample which is defective, q = 1-p, and n = sample size.If an estimate of p is not given, a conservative approach to sample size determination allows pand q to be values that make the product of pq as large as possible. That is p = q = 0.5. Thus, pq= 0.2516 (A value of p was not provided by Texas Instruments). For 99% confidence interval, a Page 6.687.11 Proceedings of the 2001 American Society for Engineering Education Annual

Conference Session

Cybersecurity Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Heena Rathore, Texas State University; Henry Griffith, San Antonio College

Tagged Divisions

Computers in Education Division (COED)

. 53.1.4 Challenge 4The challenge involves performing multiplication on two large numbers, p and q, and subsequentlyfinding the factors of the resultant number. To achieve this, participants are instructed to downloadand employ the yafu tool. The values of p and q are provided as hexadecimal representations. Thestudents were given extra commands such as “yafu.exe “p*q”” to be executed in the commandprompt to perform the multiplication. Afterward, the task entails factorizing the computed numberand identifying the P3 value as the answer. To factorize the number, the command “yafu.exe factor(number)” was used. An additional doc file was given to students for consultation. The decryptedflag was a location to a particular place.3.1.5 Challenge

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahatsham Hayat, University of Nebraska, Lincoln; Sharif Wayne Akil, University of Nebraska, Lincoln; Helen Martinez, University of Nebraska, Lincoln; Bilal Khan, Lehigh University; Mohammad Rashedul Hasan, University of Nebraska, Lincoln

Tagged Topics

Diversity, NSF Grantees Poster Session

, Association for Computational Linguistics, Nov. 2020.[14] J. Wei, X. Wang, D. Schuurmans, M. Bosma, B. Ichter, F. Xia, E. Chi, Q. Le, and D. Zhou, “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,” Jan. 2023. arXiv:2201.11903 [cs].[15] K. Bhatia, A. Narayan, C. De Sa, and C. R´e, “TART: A plug-and-play Transformer module for task-agnostic reasoning,” June 2023. arXiv:2306.07536 [cs].[16] S. Huang, L. Dong, W. Wang, Y. Hao, S. Singhal, S. Ma, T. Lv, L. Cui, O. K. Mohammed, B. Patra, Q. Liu, K. Aggarwal, Z. Chi, J. Bjorck, V. Chaudhary, S. Som, X. Song, and F. Wei, “Language Is Not All You Need: Aligning Perception with Language Models,” Mar. 2023. arXiv:2302.14045 [cs].[17] J. Wei, M. Bosma, V. Y. Zhao, K. Guu, A

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahmed Ashraf Butt, Carnegie Mellon University; Eesha tur razia babar, University of California, Irvine; Muhsin Menekse, Purdue University, West Lafayette; Ali Alhaddad, Purdue University, West Lafayette

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

. 233–243, Oct. 2013, doi: 10.1016/j.compedu.2013.05.012.[6] Y. Chen, Y. Ma, X. Mao, and Q. Li, “Multi-Task Learning for Abstractive and Extractive Summarization,” Data Science and Engineering, vol. 4, no. 1, pp. 14–23, Mar. 2019, doi: 10.1007/s41019-019-0087-7.[7] A. Magooda, M. Elaraby, and D. Litman, “Exploring Multitask Learning for Low-Resource AbstractiveSummarization,” arXiv preprint arXiv:2109.08565, 2021.[8] J. P. Verma and A. Patel, “An Extractive Text Summarization approach for Analyzing Educational Institution’s Review and Feedback Data,” International Journal of Computer Applications, vol. 143, pp. 51–55, 2016.[9] W. Luo and D. Litman, “Summarizing student responses to reflection prompts,” in Proceedings of

Conference Session

Assessment Methods and Learning Pedagogy II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Jyhwen Wang, Texas A&M University; Alex Fang, Texas A&M University; Michael Ryan Golla, Texas A&M University

Tagged Divisions

Engineering Technology

otherquestions related to course contents and lecture delivery methods. The questions relevantto this study include:Q 1) I am a “learning by thinking” person (logic analysis). Page 22.1686.9Q 2) I am a “learning by feeling” person (personal involvement and/or past experience).Q 3) I am a “learning by doing” person (active experimentation and hands-on).Q 4) I am a “learning by watching and listening” person (observations).Q 5) I need to know the physical evidence and/or numbers that back up a concept. I pay attention to details in lab procedures and I am a quantitative person.Q 6) Knowing the big picture or concept is all I care about

Conference Session

Great Ideas for Projects that Teach Instrumentation

Collection

2011 ASEE Annual Conference & Exposition

Authors

El-Sayed Aziz, Stevens Institute of Technology; Zengqian Wang, Stevens Institute of Technology; Sven K. Esche, Stevens Institute of Technology; Constantin Chassapis, Stevens Institute of Technology

Tagged Divisions

Instrumentation

  / g 0 V02 q 10Here, Ps is the pressure on the spherical surface, P is the pressure at infinity,  is the density ofthe fluid, g0 is the gravitational constant, V0 is the air flow velocity of the wind tunnel and q isthe dynamic pressure. The difference between the high pressure in the front stagnation regionand the low pressure in the rear separated region causes a large drag contribution called pressuredrag. This is added to the integrated shear stress or friction drag of the body, which it oftenexceeds. The relative contributions of the friction drag and the pressure drag depend on thebody’s shape, especially its thickness

Collection

1999 Annual Conference

Authors

Laura J. Genik; Craig W. Somerton

the design team will solve Page 4.544.11the 2-D energy equation for this configuration. It is suggested that the design team implementthe numerical method on a spreadsheet or in a computer program. The minimum number ofnodes is 9. The dimensions of the rectangular fin are 0.45 m by 0.08 m. It is recommend that adirect matrix inversion method be used. The memo should include the nodal equations as wellas the matrix formulation.  ∂ 2T ∂ 2 T  0= k 2 + + q& ′′′ ∂ x ∂ y 2

Conference Session

Teaching Technological Literacy - Engaging Students

Collection

2010 Annual Conference & Exposition

Authors

Thomas Howell, San Jose State University; Patricia Backer, San Jose State University; Belle Wei, San Jose State University

Tagged Divisions

Technological Literacy Constituent Committee

this lab and had the students compute conductance so that the Page 15.408.9relationships to diameter and area would be quadratic and linear instead of inverse quadratic andinverse linear. This simplified the task significantly at the expense of having to deal with anunfamiliar unit: mho. This change was a net improvement, and we plan to continue using it.Below are some student questions and the instructor’s answers, which were posted while thereports were being written. Q: How do I find the area of my Play-Doh cylinders? Would it be 10 cm times the diameter? A: The area we need to calculate is the cross sectional area of the

Conference Session

Thermal Systems

Collection

2005 Annual Conference

Authors

James Baughn

energy balance is done on a node for 1-D steady heat transfer using the electricalanalogy and L’Hospitals rule assuming no volumetric heat generation. If volumetric heatgeneration is included the equation becomes: T & + Q i ∑j R j Ti = ij 1 (1) ∑j R ijIn this equation Ti is the node temperature being calculated, Qi is the volumetric heat generation,Tj is the temperature of a surrounding

Conference Session

Lab Experiments in Materials Science

Collection

2002 Annual Conference

Authors

Glenn Kohne

before a single testing run was executed. The RMS error was reduced duringtraining only when a series of training runs failed to achieve a ninety percent correct testing run. Table II list the results of all experiments performed on the neural network with eightinput nodes, five nodes in the hidden layer, and three nodes in the output layer. In all cases thenetwork weights were started at random values, even when a training sequence was repeated witha smaller RMS goal. Given the network size, a desired minimum number of training sets shouldbe greater than 25. The H-series experiment exceeds this goal, while both the T-series and Q-series use less than the desired minimum. This will allow some exploration of the exactness ofthis minimum