Conference Session

Chemical Engineering Division Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mariajose Castellanos, University of Maryland, Baltimore County; Joshua A Enszer, University of Maryland, Baltimore County

Tagged Divisions

Chemical Engineering

chosen twoexamples from both courses. In both cases the first examples comes from the beginning of thesemester and the second at the end of the semester. The examples are exactly taken from thedocuments the students submitted. These examples exemplify the type of thinking the students aredoing by combining writing and engineering exercises.Example 1 Thermodynamics2012 ENCH 300 ReflectionName:HW: 4Readings: 125-128 133-144Problems, Examples: About the problem on Tuesday, I do it another way. For Q+W=ΔU,ΔU= = =R , from PV=RT and PV1.55=K (K is a constant), we canget V =K/RT, V =RT/K, P=K/ V1.55; 0.55 -0.55Also since V-1.55= d(V-0.55), so W=- = R(T2-T1), Q= ΔU-WQuestions

Conference Session

Mechatronics

Collection

2017 ASEE Annual Conference & Exposition

Authors

Michael Ghossein; Linda M. DeLosSantos, University of Houston, Downtown ; Vassilios Tzouanas, University of Houston, Downtown; Omar Meraz

Tagged Divisions

Engineering Technology

tray locationcan be determined graphically by using the McCabe-Thiele method.In the analysis that follows, the following parameters are defined: ● Feed rate (F) ● Feed molar composition (z, for light component) ● Feed thermal condition (q; 0 if vapor and 1 if liquid) ● Column operating pressure (P) ● Reflux flowrate (R) ● Distillate flowrate (D) ● Bottoms flowrate (B) ● Reflux Ratio (RR=R/D) ● Vapor rate in rectifying section (VR) ● Vapor rate in stripping section (Vs) ● Liquid rate in rectifying section (LR) ● Liquid rate in stripping section (Ls) ● Distillate composition for light component (xD) ● Bottoms composition for light component (xB) ● Total number of trays (NT) ● Feed tray (NF)Figure A

Conference Session

International Educational Experiences (1)

Collection

2017 ASEE Annual Conference & Exposition

Authors

Gang Zheng, University of Michigan-Shanghai Jiao Tong University Joint Institute; Yanchun Yang, University of Michigan-Shanghai Jiao Tong University Joint Institute

Tagged Divisions

International

Long-term Education Reform and Development Plan (国家 中长期教育改革和发展规划纲要)， http://www.moe.gov.cn/srcsite/A01/s7048/201007/t20100729_171904.html3. R. Jones, Exporting American Higher Education, ASEE Annual Conference and Exposition, 20094. Z. Zhou, C. Pezeshki, Understanding Change and Development of Engineering Education in China, ASEE Annual Conference and Exposition, 20145. R. Parker, Motivation and Vision of xxx, Journal of International Higher Education (internal journal), Vol. 4, No. 3, Sept. 20116. Q. Zhu, B. Jesiek, J. Yuan, Engineering Education Policymaking in Cross-National Context: A Critical Analysis of Engineering Education Accreditation in China, ASEE Annual Conference and Exposition, 20147. X. Tang, Q. Zhu, H. Pang

Conference Session

Mechanics Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Jeffrey C. Hayen, Oregon Institute of Technology

Tagged Divisions

Mechanics

horizontal direction. Develop the standardequations of motion for this system. Also, in the special case with Fa  0 , determine the natural(undamped) frequency n for small-amplitude oscillations of the system due to gravity alone.Constraints and RelationsBased upon the rolling-without-slipping condition for the disk on the support surface, it is foundthat the kinematics and relative positions of various points on the system are governed by xP  rd   vP  rd   aP  rd  (31) rQ/P   12 lb [sin  i  cos  j] , rC/P   rd j (32)where points P and Q identify the respective mass centers of the disk and bar, and C identifiesthe point of contact

Conference Session

New ECE laboratories

Collection

2019 ASEE Annual Conference & Exposition

Authors

Cory J. Prust, Milwaukee School of Engineering

Tagged Divisions

Electrical and Computer

Quadrature Amplitude Modulation (QAM) Complex-envelope representations for AM systems MATLAB/Simulink Simulation – I/Q and Complex Envelope for AM 4 Introduction to angle modulation Concepts of frequency and phase modulation; modulators and demodulators Spectrum/Bandwidth of FM waveforms, Carson’s Rule MATLAB/Simulink Simulation – FM Systems 5 Complex envelope representations for FM/PM Case Study: Broadcast FM Radio Midterm Exam MATLAB/Simulink Simulation – I/Q and Complex Envelope for FM/PM 6 Introduction to digital communications Digital carrier modulation: ASK

Conference Session

Laboratory Courses and Programming in the Aerospace Curriculum

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Mary E. Johnson Ph.D., Purdue Polytechnic Institute; Tracy L. Yother, Purdue University - Purdue Polytechnic Lafayette

Tagged Topics

Diversity

Tagged Divisions

Aerospace

N 22 M inimum 0.0000 1st Q uartile 0.5000 M edian 1.0000 3rd Q uartile 1.1250 M aximum 5.0000 95% C onfidence Interv al for M ean

Conference Session

Materials Division Technical Session 4

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Blake Herren, University of Oklahoma; Ryan Cowdrey; Weston Scott Sleeper; Colin Bray; Zahed Siddique, University of Oklahoma; Yingtao Liu, University of Oklahoma

Tagged Divisions

Materials

, K.T. Nguyen, and D. Hui, Additive manufacturing (3D printing): A review of materials, methods, applications and challenges. Composites Part B: Engineering, 2018. 143: p. 172-196.9. M. Abshirini, M. Charara, P. Marashizadeh, M.C. Saha, M.C. Altan, and Y. Liu, Functional nanocomposites for 3D printing of stretchable and wearable sensors. Applied Nanoscience, 2019. 9(8): p. 2071-2083.10. L.A. Chavez, B.R. Wilburn, P. Ibave, L.C. Delfin, S. Vargas, H. Diaz, C. Fulgentes, A. Renteria, J. Regis, and Y. Liu, Fabrication and characterization of 3D printing induced orthotropic functional ceramics. Smart Materials and Structures, 2019. 28(12): p. 125007.11. Q. Gao, H. Gu, P. Zhao, C. Zhang, M. Cao, J. Fu, and Y. He

Conference Session

Ethical and Global Concerns

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Elizabeth A. Reddy, Colorado School of Mines; Stephen Campbell Rea, Colorado School of Mines; Qin Zhu, Colorado School of Mines

Tagged Divisions

Liberal Education/Engineering & Society

Proceedings of ASEE Annual Conference & Exposition,Salt Lake City, UT, 2018.[13] D. Milesko-Pytel, “With a dose of morality,” American Education, vol. 15, no. 1, p. 31-36, 1979.[14] P. C. Wankat and F. S. Oreovicz, Teaching Engineering, Purdue: Purdue UniversityPress, 2015.[15] Q. Zhu, “Toward a globalized engineering education: Comparing dominant images ofengineering education in the United States and China,” presented at 2019 ASEE AnnualConference & Exposition, Tampa, FL, 2019.[16] Infusing Ethics Selection Committee, Infusing Ethics into the Development of Engineers:Exemplary Education Activities and Programs, Washington, D.C.: National Academies Press,2016.[17] K. Riley, M. Davis, A. C. Jackson, and J. Maciukenas, “‘Ethics in the details

Collection

2019 ASEE Zone I Conference & Workshop

Authors

Jiayue Shen; Weiru Chen

dissipation decreases by26.7mW/℃. The power rating is 4W at 25℃. What is the new power rating at 75℃? [Open-ended]and (d) suppose an ac voltage source has a source resistance of 47Ω. For what load resistance isthe source stiff? [Q&A] Figure 4 (a), (b), (c), and (d) demonstrate the snapshot of three commontypes of example questions. Figure 3. A snapshot of the total responses for different questions (a) (b) (c) (d)Figure 4. A snapshot of the commonly used question types: (a) True/False; (b) Open-ended; (c) Multiple choices; (d) Q&A III. ASSESSMENT

Conference Session

Making it Sticky: Ways to Reinforce Prerequisite Knowledge

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ricardo Zaurin PE, University of Central Florida; Sudipta Dey Tirtha, University of Central Florida; Naveen Eluru, University of Central Florida

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering

potentially important variables for predicting future grade of the students in statics course. Onthe other hand, chi-square statistics also shows that gender, number of prior attempts and inclusionof adaptive learning module do not significantly influence the grade.MODEL AND ESTIMATION RESULTSEconometric ModelIn this research, we employ the ordered logit model for studying the ordinal categorical variablegrade with the categories defined as Fail/Withdraw (DFW) and Pass (ABC).Let j be the index for the discrete outcome that corresponds to grade for student q. In orderedresponse model, the discrete grade levels (𝑦𝑞 ) are assumed to be associated with an underlyingcontinuous latent variable (𝑦𝑞∗ ). This latent variable is typically specified as the

Conference Session

Women in Engineering Division Technical Session 10

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Huma Shoaib, Purdue University ; Monica E Cardella, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Topics

Diversity

Tagged Divisions

Women in Engineering

Number of Reviews 2012 Reviews 2018Mindware physics Physics Concepts 51 71WorkshopMindware Q-BA- Engineering and 51 717MAZE 2.0: Big Box ConstructionMindware Math & Science 50 124Microscopic kit &bookMindware Chaos Engineering and 43 68Tower ConstructionMindware Equate Math & Science 51 51Mindware KEVA Engineering and 50 70Contraptions (200 ConstructionPlank)Mindware Snap Physics Concepts 32 174Circuits (500piece)Mindware KEVA Engineering

Conference Session

Flipped, Blended, Online, Oh My

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Ricardo Zaurin PE, University of Central Florida; Sudipta Dey Tirtha, University of Central Florida; Naveen Eluru, University of Central Florida

Tagged Divisions

Civil Engineering

defined as Fail/Withdraw, D, C, B, and A.Let j be the index for the discrete outcome that corresponds to grade for student q. In orderedresponse model, the discrete grade levels (𝑦𝑞 ) are assumed to be associated with an underlyingcontinuous latent variable (𝑦𝑞∗ ). This latent variable is typically specified as the following linearequation: 𝑦𝑞∗ = 𝛼′𝑧𝑞 + 𝜀𝑞 , 𝑦𝑞 = 𝑗 if 𝜓𝑗 < 𝑦𝑞∗ < 𝜓𝑗+1 (1)where, 𝑧𝑞 is a column vector of exogenous variables for student 𝑞, 𝛼 is column vector ofunknown parameters, 𝜓𝑗 is the observed lower bound threshold and 𝜓𝑗+1 is the observed upperbound threshold for grade j. 𝜀𝑞 , with logistic distribution, captures the idiosyncratic effect of

Conference Session

Innovations in ECE Education III

Collection

2007 Annual Conference & Exposition

Authors

Don Millard, Rensselaer Polytechnic Institute; Mohamed Chouikha, Howard University; Frederick Berry, Rose-Hulman Institute of Technology

Tagged Divisions

Electrical and Computer

Studio’s export feature) – correlated with the 2nd order mathematical quantities (zeta, ωo, BW and Q) 4. Determine the relationship between resonance, Q and damping from experimenting with different component values – exploring the impedances and voltages/currents associated with a resonant condition, along with its potential application as a band pass/stop filter 5. Explore the correlation between the time and frequency domain responses; changing the component values and observing the effect on the bandwidth, cutoff frequency, phase shift and filter response (experimenting with taking the output across the R, L and C) 6. As a culminating exercise for students to synthesize these concepts, they are

Conference Session

Innovations for the Senior Year of the ME Curriculum

Collection

2007 Annual Conference & Exposition

Authors

Showkat Chowdhury, Alabama A&M University; Abdul Jalloh, Alabama A&M University; Ruben Rojas-Oviedo, Alabama A&M University; Mohamed Seif, Alabama A&M University; Amir Mobasher, Alabama A&M University

Tagged Divisions

Mechanical Engineering

collection, and data analysis. Page 12.342.5 q A competence in the use of computational tools. r Knowledge of chemistry. s Knowledge of calculus-based physics. Table 2. ME Program Educational Objective and Expected Educational Outcomes.ME To provide students with the necessary preparation in mechanicalEducational engineering to compete effectively for professional careers in this fieldObjective and with the motivation for personal and professional growth through lifelong learning.Expected The student will demonstrate the necessary competencies inEducational fundamental

Conference Session

Instrumentation and Measurements: Innovative Course Development

Collection

2007 Annual Conference & Exposition

Authors

Don Millard, Rensselaer Polytechnic Institute; Frederick Berry, Rose-Hulman Institute of Technology; Mohamed Chouikha, Howard University

Tagged Divisions

Instrumentation

Studio’s export feature) – correlated with the 2nd order mathematical quantities (zeta, ωo, BW and Q) 4. Determine the relationship between resonance, Q and damping from experimenting with different component values – exploring the impedances and voltages/currents associated with a resonant condition, along with its potential application as a band pass/stop filter 5. Explore the correlation between the time and frequency domain responses; changing the component values and observing the effect on the bandwidth, cutoff frequency, phase shift and filter response (experimenting with taking the output across the R, L and C) 6. As a culminating exercise for students to synthesize these concepts, they are

Conference Session

Approaches to Learning Outcomes Assessment in Liberal Education

Collection

2007 Annual Conference & Exposition

Authors

Steve Lappenbusch, University of Washington; Jennifer Turns, University of Washington

Tagged Divisions

Liberal Education

engineer (i.e., because I have these skills, I deserve to be called an engineer). 3. While having personal agency is key to how portfolio construction can affect(not just reveal identity (theme 1 above), accepting this agency in the process of identity management can bring awkwardness.In the descriptions below whenever we present excerpts, “Q” marks the interviewer speaking and“A” is the student answering the question.Student 1Student 1 was a graduate student focusing on usability engineering in the TechnicalCommunication department. As the quote below shows, she doesn’t mince words when sheclaims that the portfolio process had a profound impact on her confidence.Q. I'm just wondering, I mean if you had to pick a couple ofthings

Conference Session

NSF Grantees Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Richard Chiou, Drexel University; Yongjin Kwon, Drexel University; Shreepud Rauniar, Drexel University; Horacio Sosa, Drexel University

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

, S. Y. and Wright, P. K., “Web-BasedDesign and Manufacturing Systems for Automobile Components: Architectures andUsability Studies,” International Journal of Computer Integrated Manufacturing, 15,pp.555–563, 2002.7. Feng, J., “Internet-Based Reverse Engineering,” International Journal of AdvancedManufacturing Technology, January, 2002.8. Hu, H., Yu, L., Tsui, P. W. and Zhou, Q, “Internet Based Robotic System forTeleoperation, Assembly, and Automation,” International Journal of Assembly Page 11.858.12Automation, Vol.21, No.2, pp.143-151, 2001.9. Huang, G. Q. and Mak, K. L., “Web-integrated Manufacturing: RecentDevelopments and Emerging Issues

Conference Session

FPD8 -- Systems, Nanotechnology & Programming

Collection

2006 Annual Conference & Exposition

Authors

Helen Burn, University of Michigan; James Holloway, University of Michigan

Tagged Divisions

First-Year Programs

problems solved in the programming 230 2.91 0.86 1 4assignments were interesting to me.Treatment Group 118 51.30* Sample included all students who completed the follow-up survey (n = 230)a Standard deviation of sampleThe histogram of residuals appeared approximately normal for both regressions. The Q-Q plotssuggested no severe departure from normality. The scatter plot of standardized residual bystandardized predicted showed mild heteroscedasticity in that negative standardized predictedvalues had associated positive standardized residuals and positive standardized predicted valueshad associated negative standardized

Conference Session

Emerging Computing and Information Technologies

Collection

2014 ASEE Annual Conference & Exposition

Authors

Raymond A. Hansen, Purdue University; Tomasz Wiktor Wlodarczyk, University of Stavanger; Thomas J. Hacker, Purdue University, West Lafayette

Tagged Divisions

Computing & Information Technology

: O’Reilly Page 24.30.11 Media.3. A. Sathi (2013). Big Data Analytics: Disruptive technologies for changing the game. Boise, ID: MCPress Online, LLC.4. V. Granville (2014). Developing analytic talent: Becoming a data scientist. New York, NY: John Wiley & Sons.5. “Stanford University Explore Courses.” [Online]. Available: http://explorecourses.stanford.edu/search?view=catalog&filter-coursestatus- Active=on&page=0&catalog=&academicYear=&q=OIT+367&collapse=. [Accessed: 09-Aug-2013]6. “CS9223 - Massive Data Analysis.” [Online]. Available: http://vgc.poly.edu/~juliana

Conference Session

Sustainability and Hands-on Engineering Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Andrew Ross Pfluger P.E., U.S. Military Academy; Philip J. Dacunto, Department of Geography and Environmental Engineering, United States Military Academy; Michael Hendricks, United States Military Academy

Tagged Divisions

Environmental Engineering

many random, turbulent eddies. These random fluctuations willdisperse the pollutant away from the plume centerline, resulting in a normal or Gaussiandistribution of concentrations in both the vertical (z) and crosswind (y) directions. Assuming aconstant wind in the x direction, a non-reacting pollutant, and total reflection from the ground,the concentration of pollutants downwind at any point x, y, and z can be predicted with thefollowing equation:4 Q  y2    z  H 2    z  H 2  C exp   exp     exp    2u y z  2 2   2 z2   2 z2

Conference Session

"Modular" Learning

Collection

2013 ASEE Annual Conference & Exposition

Authors

Qinghua He, Tuskegee University; Rong Zhang, Auburn University; Jin Wang, Auburn University; Frank Leonard Armstead III, Tuskegee University; Rong Zhu Walburn; Donald Ray Johnson Jr; Julius Lenard Taylor II, Tuskegee University Research Assistant

Tagged Divisions

Chemical Engineering

Paper ID #7518A Modular Approach of Integrating Biofuels Education into Chemical Engi-neering CurriculumDr. Qinghua He, Tuskegee University Dr. Q. Peter He is an associate professor in the Department of Chemical Engineering at Tuskegee Univer- sity. He obtained his B.S. in Chemical Engineering from Tsinghua University at Beijing, China in 1996 and his M.S. and Ph.D. degrees in Chemical Engineering in 2002 and 2005 from the University of Texas, Austin. His current research interests are in the general areas of process modeling, monitoring, optimiza- tion and control, with special interest in the application of data

Conference Session

Delivery Methods in Mechanical Engineering Courses

Collection

2013 ASEE Annual Conference & Exposition

Authors

Zahra Shahbazi, Manhattan College; sina Shahbazmohamadi, University of Connecticut

Tagged Divisions

Mechanical Engineering

and can easily become boring.The method presented in this paper offers a game-based approach to enhance students’ learning.Students are divided into teams, competing with each other regularly based on an organizedmatch-up schedule. At each match-up, points are awarded based on the performance on solvingan assigned problem and explaining that to the rest of the students. A “Q and A” session followseach presentation for additional points. Certain measures are discussed to improve the process ofassigning members for teams and contribution of every member to the overall results.The rules are thoroughly explained and the motivations behind them are discussed. In addition,the faced challenges during the implementation are discussed and the adopted

Conference Session

Factors Impacting Engineering Career Choices, Including Engaging Families

Collection

2012 ASEE Annual Conference & Exposition

Authors

Lisa Massi, University of Central Florida; Charles H. Reilly, University of Central Florida; Diane Johnson, University of Central Florida; Leslie Castner, University of Central Florida

Tagged Divisions

K-12 & Pre-College Engineering

Q Q3 Before 40 30 25 Q Q4 After 24 20 11 Totaal Responses 10 6 5 Befoore n =171 After n = 168 0 ery High Ve High H Aveerage Lo ow Very

Conference Session

Active Learning and Demonstrations in Materials Education

Collection

2012 ASEE Annual Conference & Exposition

Authors

Spencer Seung-Hyun Kim, Rochester Institute of Technology; Elizabeth Dell, Rochester Institute of Technology; Mario H. Castro-Cedeno, Rochester Institute of Technology

Tagged Divisions

Materials

learningmodules encouraged students towards positive attitude to work more in study. The most negativeagreement (3.8%) was in Question 9, regarding to the development of the thinking and problemsolving skills by the POGIL activities in classroom. Such neutral and negative responses of Q 7and Q 9 indicate that students, who had limited experiences in active learning environment,might find some difficulty to adapt a new learning strategy to study the subjects by means ofthese POGIL activities.Consider the large number of the positive agreement responses in Q6-9 that stand out stronglyagainst the neutral/disagreement regarding the value of the POGIL based learning environment;for example, a total (11.5%) of the disagreement and neutral response in Question

Conference Session

Project-based Education in Energy Courses

Collection

2010 Annual Conference & Exposition

Authors

Adrian Ieta, State University of New York, Oswego

Tagged Divisions

Energy Conversion and Conservation

was run at the end of the course (Table 1). The scope was to evaluate the subjectiveperception of the students relative to their understanding of energy-related topics rather than usingcomprehensive tests [9] as physics laws were I fact the real objective of the course. A comparisonbetween their pre-course perception and post-course perception was intended (questions 1 and 2). Also a Page 15.800.7relative self-assessment of their progress in this direction was addressed by question 3. Table 1. Exit survey questions Q 1: On a scale of 1 to 10 how important did you think energy conservation was before taking this

Conference Session

NSF Grantees Poster Session

Collection

2010 Annual Conference & Exposition

Authors

Qiong Zhang, University of South Florida; Linda Vanasupa, California Polytechnic State University; Julie Zimmerman, Yale University; James Mihelcic, University of South Florida

demonstrate their effectiveness of engaging participants and enablingactive learning.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.DUE-0716599, DUE-0717556, and DUE-0717428. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.Bibliography1. NSF/SRS. 2002. Science and Engineering Degrees, by Race/Ethnicity of Recipients: 1992-2001.2. 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, and J. L. Schnoor. 2003. “Sustainability Science and Engineering: Emergence of aNew

Conference Session

K-12 and Precollege Engineering Curriculum and Programming Resources, Part 2 of 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Brandon Gregory Morton, Drexel University ; Youngmoo Kim, Drexel University; Matthew Nester VanKouwenberg; Chris Lehmann, Science Leadership Academy; Jessica S. Ward, Drexel University

Tagged Divisions

K-12 & Pre-College Engineering

’. Students were asked to demonstrate this knowledge by asking themto transform the graphs given different criteria, such as a change in volume, which is associatedwith amplitude, or a change in pitch, which is related to frequency.RSA Algorithm ActivityIn this activity, one of the most commonly used algorithms for encryption was presented to thestudents. The RSA algorithm uses large prime numbers to encrypt information and is based onthe idea that it is difficult to factor a large number into two prime numbers. Students were firstshown a presentation where they were guided through an example of encrypting informationusing the algorithm. The steps involved in this are shown below and more details can be foundonline4.1. Find two prime numbers p and q

Conference Session

Use of Technology for Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Richard Chiou, Drexel University ; Michael G Mauk P.E., Drexel University; Tzu-Liang Bill Tseng, University of Texas, El Paso; M. Eric Carr, Drexel University; Aurel Mathews

Tagged Divisions

Manufacturing

surface and advect heat away from the point of contact by its motion.Newton’s Law of Cooling provides a simple expression for this rate of convective heat transfer. Q = hA (Ts – Tf) (1)Where Q is the rate of heat convected in watts; Ts is the temperature of the solid in C°; Tf if thetemperature of the fluid in C°; A is the area of the surface in contact with the fluid in square meters;and h is the convective heat transfer coefficient in watts/ square meter-C°.Many factors affect convective heat transfer such as its geometry, type of flow, boundary conditions,type of fluid used and its properties. In this experiment, forced convection occurs when fluid flow,induced

Conference Session

Laboratory Applications of Computers

Collection

2014 ASEE Annual Conference & Exposition

Authors

Oluyemisi Oladayo Satope, iLabs OAU; Isaiah Oreoluwa Boboye, Obafemi Awolowo University; Olawale Babatunde Akinwale, Obafemi Awolowo University; Lawrence O. Kehinde, Obafemi Awolowo University; Olabode Idowu Asubiojo, Obafemi Awolowo University

Tagged Divisions

Computers in Education

................................................................................................ 2where q is the amount of heat that flowed m is the mass of the substance C is the specific heat capacity of the substance ΔT is the change in temperature of the substanceApparatus: Calorimeter, heater, digital scale, thermometerMaterial: Water, metal samples (with known specific heat capacities).Procedure: 1. The mass of the empty calorimeter is measured and recorded. 2. The calorimeter is filled about half way with water. 3. The mass of the half-filled calorimeter is measured and recorded. 4. The mass of the water in the calorimeter is now calculated. 5. The temperature of the water in the calorimeter is measured. 6. A metal sample is selected from the available samples 7. The mass of the

Conference Session

Assessment of Learning in ECE

Collection

2014 ASEE Annual Conference & Exposition

Authors

Alexander Ganago, University of Michigan; Sudarshan Sivaramakrishnan, University of Michigan; Robert Matthew DeMonbrun, University of Michigan

Tagged Divisions

Electrical and Computer

: course design and implementation . (2012) Global Journal for Engineering Education vol. 14, issue 116. Malik, Q., Mishra, P., Shanblatt, M. (2008) Identifying Learning Barriers for Non-major Engineering Students in Electrical Engineering Courses. Proceedings of the 2008 ASEE North Central Section Conference17. Malik, Q., Mishra, P., Shanblatt, M. (2010) Learning Barriers in service courses – A mixed-method study. 117th ASEE Annual Conference and Exposition,Louisville, KY, Jun 2010. Paper AC 2010-242818. Northrup, S. G. Innovative Lab Experiences for Introductory Electrical Engineering Students (2009). Paper M4H-1 presented at the 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX19. Fiesel, L. D