Conference Session

Environmental Engineering Division Technical Session 3

Collection

2022 ASEE Annual Conference & Exposition

Authors

Andrew Pfluger, United States Military Academy; Michael Butkus, United States Military Academy; Benjamin Michael Wallen P.E., United States Military Academy

[19 words to 18 words] a) an ability to apply knowledge of mathematics, 1. an ability to identify, formulate, and solve science, and engineering complex engineering problems by applying e) an ability to identify, formulate, and solve principles of engineering, science, and engineering problems mathematics Student Requirement: no change (“ability to”) Student Action: retained the word “apply”; however, changed “apply knowledge” to “applying principles” Concepts: no change Transition from SO (b) to SO 6 [15 words to 19 words] b) an ability to design and

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Massood Towhidnejad, Embry-Riddle Aeronautical University - Daytona Beach; James Pembridge, Embry-Riddle Aeronautical University - Daytona Beach; Omar Ochoa, Embry-Riddle Aeronautical University - Daytona Beach; Radu Babiceanu, Embry-Riddle Aeronautical University - Daytona Beach; Erin Chernak, The University of Texas at Arlington

undersigned, desiring to publish the above paper in a publication of ASEE or co-sponsored by ASEE, herebytransfers their copyrights in the above paper to the American Society for Engineering Education, known as ASEE.In return for these rights, ASEE hereby grants the above author(s), and the employers for whom the work wasperformed, permission to: -- Reuse portions of the above paper in other works. -- Reproduce the above paper for personal or internal use, provided that (a) the source and ASEE copyright are indicated, (b) the copies are not used in a way that implies ASEE endorsement of product or service of an employer, and (c) the copies are not offered for sale.In exercising its rights under copyright, ASEE

Conference Session

Computers in Education 8 - Video Technology

Collection

2022 ASEE Annual Conference & Exposition

Authors

Hannah Sloan, University of Calgary; Richard Zhao, University of Calgary; Faisal Aqlan, Pennsylvania State University, Behrend College; Hui Yang, Pennsylvania State University; Rui Zhu

requirements as shown in Figure 2. Students need to minimize thetotal cost of car toy assembly while satisfying customer requirements, such as weightrequirements, and cycle time (total time to completion) requirements. The assembly task consistsof four main functions: design, sourcing, manufacturing, and inspection. An example completedcar is shown in Figure 3. Figure 2. Example customer requirements for the toy car assembly. Figure 3. Example completed toy car. (a) (b) Figure 4. Example workstations in VR learning environment. (a) The component selection station. (b) The sides assembly station showing a student’s virtual hand

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Gurupriya Ramanathan, Salisbury University; Sara Hagenah

the experiential foundation for developing an array of socialskills referred to as “peer-related social competence” (Guralnick, 1999).The purpose of this study was to explore: a) the nature of peer interactions duringengineering activities and b) the impact of preschool peer interactions during engineeringactivities in how they support preschool students to persevere during the activity. To thatend, the research questions are as follows: a) what is the nature of social interactionsbetween preschool students during engineering activities?; b) what is the impact of peerinteractions on students’ perseverance on task? The focus in this paper is on the latterpurpose, i.e. the impact of preschool peer interactions during engineering activities

Conference Session

First-Year Programs Division Technical Session 8: Academic Progress, Retention, and Mathematics

Collection

2022 ASEE Annual Conference & Exposition

Authors

Michael Elmore, State University of New York at Binghamton; Melissa Simonik; Meghan Crist, State University of New York at Binghamton; Koenraad Gieskes, State University of New York at Binghamton

data were analyzed using analysis of variance (ANOVA)tests in Minitab 20 with multiple factors and levels. Results with p≤0.05 were consideredsignificant. Two-way interactions between independent variables were also analyzed forsignificance. It should be noted that the asterisks in some of the plots represent data outliers.Results and DiscussionMathematics QuestionsThe math course analysis showed that none of the two-way interactions were significant(Appendix B – Table 6) allowing the main effects to be analyzed. The simple main effectsanalysis showed that all the factors that were considered had a statistically significant effect onstudents’ perception of how well they were doing in their math course: if they received helpoutside of class (p

Conference Session

Pre-College Engineering Education Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Joe Muskin, University of Illinois at Urbana - Champaign; Jessica Perez, University of Illinois at Urbana - Champaign

] (Figure 3b).a bFigure 3. a) An AFM generates images by scanning a small cantilever over the surface of a sample. Thecantilever bends as it moves over a surface, displacing the laser which can be measured to image the surface. b)Student-designed setup to determined movement of a wall using classroom avaliable equipment.Create Curriculum After a single summer, high school researchers are often able to create an activity that isready with only a few minor modifications for classroom implementation. If this is not the case, anew team of student researchers can be brought in the following summer to pick up where the lastgroup of students left off. To prepare the activity for implementation, pre-college

Conference Session

PCEE Technical Session 6: Engineering Design in High School

Collection

2022 ASEE Annual Conference & Exposition

Authors

Stacy Klein-Gardner, Vanderbilt University; Leigh Abts, The Johns Hopkins University; Gail Goldberg

for Portfolio A. Scores adjacent to any of thesingle scores or either of the scores represented in the split scores would be deemed tomatch these provisional “true scores.”Table 1: Consensus Scores on “Multi-Size Screwdriver” Element A B C D E F G H I J K L Score 2- 3- 1/2 1/2 0/1 0/1 0/1 1 1 0/1 2/3 2The second whole-group exercise followed much the same process, except that raters wereasked to score Portfolio B (“Crutch Beverage Holder”) independently and fully beforediscussion of original score decisions took place, element by element. Once again,participants were encouraged to explain the rationale for original score

Conference Session

CIT Division Technical Session #1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Mudasser Wyne, National University; Alireza Farahani; Esmaeil Atashpaz-Gargari; Lu Zhang, National University

paper. 1. Each instructor can teach one course in each term (Month). 2. Some online instructors cannot teach onsite classes. The graduate MSCS program studied in this paper consists of 13 courses. The program isoffered three times a year, twice a year in onsite format, and once a year in the online format. Thereare 12 instructors who teach these 13 courses offered in the program. Table 1 shows the offering of courses for each month from January to December in a givenyear, the same pattern is repeated each year. Each of the 13 courses is abbreviated with lowercaseletters a, b, c, …, m. The 12 instructors are denoted using uppercase letters A, B, C, D, …, L. Thecourses that are listed with “OL” are offered in the online format. For

Conference Session

LEAD Technical Session 1: Fostering Leadership Identity Development and DEI in Engineering Students and Professionals

Collection

2022 ASEE Annual Conference & Exposition

Authors

Brett Tallman, Montana State University - Bozeman; Bryce Hughes, Montana State University - Bozeman; Robert Carson, Montana State University - Bozeman; William Schell, Montana State University - Bozeman

Paper ID #37512Features of Identity-based Engineering LeadershipInstructionBrett Tallman (Instructor) (Montana State University - Bozeman) Brett Tallman is a Postdoctoral Research Associate at University of Texas, El Paso studying faculty agency development at HSIs. He received his doctorate in Engineering from Montana State University (MSU), with focus on engineering leader identity development. His previous degrees include a Masters degree in Education from MSU (active learning in an advanced quantum mechanics environment) and a B.S. in Mechanical Engineering from Cornell. In addition to his academic career, he

Conference Session

Mechanical Engineering: Student Growth

Collection

2022 ASEE Annual Conference & Exposition

Authors

J. Hylton, Ohio Northern University; Lawrence Funke, Ohio Northern University

course grade is accrued through achievement of assessment checkpoints. These checkpoints arearranged into four tiers – completion of which roughly demarcates the D, C, B, and A grade lines. Thecheckpoints are a mix of quiz and project assessments. Tier One, completion of which approximatelymarks achievement of a D, consists of four quizzes (Fundamentals, Functions, Logical Programming, andLoops) and two projects (3D Modeling and Applied Logical Programming). Tier Two, completion of whichapproximately marks achievement of a C, consists of two projects requiring synthesis of Tier One quizcontent. Tier Three, marking a B, consists of one quiz (Solving Ordinary Differential Equations (ODEs)with ODE45) and one project (Solving ODEs in Simulink). Tier

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Nathan Lemke; Karen Rogers; Nathan Lindquist; Keith Stein, Bethel University; Grace Riermann; Ellesa St. George; Tristan Noble; John McCauley

diagram (A) and photo (B) of the digital holography apparatus. Next, we describe a smartphone-based schlieren imaging system. The system uses onlytwo components, a smartphone that serves both as light source (via its flash) and imager, and aconcave mirror located at a distance of two times its focal length from the smartphone. A sourceof convective flow (e.g. a candle or air duster) can be placed in front of the mirror, allowing theflow to be visualized via the changes in refractive index that occur alongside the spatiallyvarying density, and the image is sharpened by placing a small aperture (e.g. black electrical tapewith a small pinhole) in front of the flash to limit the aperture, as well as to serve as a “knifeedge” that covers a

Conference Session

Civil Engineering Division - Mechanics Applied and the Best in Five... Get Ready!

Collection

2022 ASEE Annual Conference & Exposition

Authors

Timothy Wood, The Citadel

2 𝑚ExampleFigure 3.a shows a dimensioned cross section of a 3D printed composite body. In Figure 3.b, thecomposite body is broken into two rectangles, a triangle and a hole passing through the shape.Using the process described elsewhere, the composite body centroid location is at (2.03, 2.47)in.[11] (a) (b) Figure 3. The 2D cross section of a prismatic object (a) with total dimensions, and (b) in four segments: (1) a tall rectangle, (2) a right isosceles triangle, (3) a wide rectangle, and (4) a circular hole [11].Table 5 presents the segment properties for each shape in the composite body. The last row sumsthe various columns

Conference Session

Civil Engineering Division - Mechanics Applied and the Best in Five... Get Ready!

Collection

2022 ASEE Annual Conference & Exposition

Authors

Anthony Battistini, Angelo State University; Guillermo Alvarez

cuts. Additionally a hydraulicpunch was used to make the same diameter holes to further optimize the fabrication process.Steel Connection Tests- ResultsThe measured data, observed failure modes, specimen photos, and other relevant results for allthe connection tests are provided on the following pages.Yielding Figure 7: Yielding SpecimenCalculated Failure Mode: YieldingCalculated Failure Load: 60.41 kObserved Failure Mode: None; Calculation ErrorObserved Failure Load: None; UTM has max load of 56.2 kDrawing Details: Appendix B, Figure B-2Yielding was not observed. A calculation error led to the yielding specimen having a capacityhigher than the UTM rating. Testing of the specimen resulted in linear elastic

Conference Session

Engineering Physics and Physics Division Technical Session 3

Collection

2022 ASEE Annual Conference & Exposition

Authors

Harold Evensen, University of Wisconsin - Platteville

grading.”Specs Grading: Terminology and Features“Specifications grading” is presented as a means to restore rigor in a course, motivate students,and save instructor time. The term comes from an excellent book by Linda B. Nilson [1]; otherterms that are used include Standards Based Grading (SBG) [2], which was first introduced in K-12 education as academic standards for all students, and Learning Objectives-Based Assessment(LOBA) [3], which is based on instructor-derived standards as opposed to national standards.All three are premised on the idea that a student’s grade should be directly linked to theattainment of delineated outcomes. Nilson’s book presents a means of implementation thatincludes mastery learning, repeated attempts to demonstrate

Conference Session

LEES 4: Understanding and Disrupting Engineering Cultures

Collection

2022 ASEE Annual Conference & Exposition

Authors

Taiylor Rayford, University of Illinois at Urbana - Champaign; Nidia Ruedas-Gracia, University of Illinois at Urbana - Champaign; Molly Goldstein, University of Illinois at Urbana - Champaign; Corey Schimpf, University at Buffalo, The State University of New York; Lara Hebert, University of Illinois at Urbana - Champaign; Lorena Escamilla, University of Illinois at Urbana - Champaign; Jesus Zavala, University of Illinois at Urbana - Champaign

,” Medical Teacher, pp. 583–590, 2007.[2] L. McKenna and B. Williams, “The hidden curriculum in near-peer learning: Anexploratory qualitative study,” Nurse Education Today, vol. 50, pp. 77–81, Mar. 2017, doi:10.1016/j.nedt.2016.12.010.[3] T. M. Lockspeiser, P. O’Sullivan, A. Teherani, and J. Muller, “Understanding theexperience of being taught by peers: the value of social and cognitive congruence,” Adv inHealth Sci Educ, vol. 13, no. 3, pp. 361–372, Aug. 2008, doi: 10.1007/s10459-006-9049-8.[4] J. H. C. Moust and H. G. Schmidt, “Facilitating small-group learning: A comparison ofstudent and staff tutors’ behavior,” Instr Sci, vol. 22, no. 4, pp. 287–301, 1995, doi:10.1007/BF00891782.[5] J. W. Fantuzzo, L. A. Dimeff, and S. L. Fox

Conference Session

DEED Technical Session 5 Design Teams

Collection

2022 ASEE Annual Conference & Exposition

Authors

Sandra Clavijo, Stevens Institute of Technology (School of Engineering and Science); Louis Oh, Stevens Institute of Technology (School of Engineering and Science); Kishore Pochiraju, Stevens Institute of Technology (School of Engineering and Science)

with Stantec and T&M Associates specializing in Urban Land Redevelopment and Municipal Engineering. Sandra holds a B.S. Degree in Civil & Environmental Engineering, an A. B. degree in Art History from Lafayette College and a Master of Engineering degree in Engineering Management from Stevens Institute of Technology. She is currently perusing her doctorate degree in Education from Drexel University with a concentration in innovation and creativity. She is currently the Program Chair for ASEE Entrepreneurship and Innovation Division (2022 Conference). She also holds a Professional Engineering license in NJ.Louis Oh (Lab Manager) © American Society for Engineering Education, 2022

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Dira Delpech, The Ohio State University; Emily Dringenberg, The Ohio State University

those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References [1] Q. Clark and L. Esters, "Federally Funded Programs Are Not Enough to Diversify the STEMWorkforce," 2018.[2] D. G. M. a. E. B. Chubin, “Diversifying the engineering workforce, “Journal of EngineeringEducation, vol. 94, no. 1, pp.73-86., 2005.[3] B. L. Yoder, "Engineering by the numbers," in American Society for Engineering Education,2017.[4] National Science Board, "Science and Engineering Indicators 2018," National ScienceFoundation (NSB-2018-2), Arlington, VA., 2018.[5] Kuhn, D. (1992). Thinking as argument. Harvard Educational Review, 62(2), 155-179.[6] Grifski, J., Dringenberg, E., & Delpech, D. M. (2021, July). Thinking as

Conference Session

Student Division Technical 4: Student Experience & Competencies

Collection

2022 ASEE Annual Conference & Exposition

Authors

Hamidreza Taimoory, Virginia Polytechnic Institute and State University; David Knight, Virginia Polytechnic Institute and State University; Walter Lee, Virginia Polytechnic Institute and State University

. TheKMO and Bratlett’s test were 0.79 with statistically significant sphericity test. Two componentsof engagement were extracted with eigenvalues greater that 1.00. The first component with 2.64eigenvalues accounting for 33% of the variance formed the Non-STEM engagement measure.The second component with 1.07 eigenvalues accounting for 13.4% of the variance was used todevelop the STEM engagement index. The reliability test, Cronbach’s alpha, was 0.69. Engagement Frequency. Engagement frequency was assessed by summing responses for10 items: (a) Participated in an internship, co-op, or field/lab work, (b) Attended a professionalconference career fair, or research exposition, (c) Held a formal leadership role in a studentorganization or group

Conference Session

Educational Research and Methods (ERM) Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Chuhan Zhou; Siqing Wei, Purdue University at West Lafayette (COE); Matthew Ohland, Purdue University at West Lafayette (COE)

are higher, the standard deviations of ratings tendto be slightly lower.Figure 1: Scatterplot of Variables in Peer Evaluation 1Figure 2: Scatterplot of Variables in Peer Evaluation 2 Figure 3: Scatterplot of Variables in Peer Evaluation 3In the following tables, we assembled all the results in our SLR analysis for all three peerevaluations. Table 1. SLR Results between Tenure and Rating Quality for PE1, PE2, and PE3 Peer Tenure Dimension p-value Intercept Slope p Shapiro p B-F Evaluation type Test Test PE1 Team A 0.009 0.78358 -0.0548 0.647 0.828 PE1 Team

Conference Session

Educational Research and Methods (ERM) Division Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

Barney Wei, University of Toronto; Mohammadreza Karamsoltani, University of Toronto; RUI ZENG, University of Toronto; Mingyu Zheng, University of Toronto; Hamid Timorabadi, University of Toronto

] J. Hilton, “Open educational resources and college textbook choices: a review of research on efficacy and perceptions,” Springer Link, 19-Feb-2016. [Online]. Available: https://link.springer.com/article/10.1007/s11423-016-9434-9. [Accessed: Jun-2021].[5] D. Munro, J. Omassi, and B. Yano, “Step One: What Are OER, Why Are They Important, and What are the Barriers to Adoption?,” OER Student Toolkit, 26-May-2016. [Online]. Available: https://opentextbc.ca/studenttoolkit/chapter/step-one-what-are-oer/. [Accessed: 19-Oct-2021].[6] B. K. Pursel, C. Liang, S. Wang, Z. Wu, K. Williams, B. Brautigam, S. Saul, H. Williams, K. Bowen, and L. C. Giles, “BBookX: An Automatic Book Creation Framework,” ResearchGate, Apr-2016. [Online

Conference Session

Engineering Ethics Division: Perspectives on Engineering Ethics Education

Collection

2022 ASEE Annual Conference & Exposition

Authors

Brent Jesiek, Purdue University at West Lafayette (COE); Stephanie Claussen, San Francisco State University; Carla Zoltowski, Purdue University at West Lafayette (COE); Dayoung Kim, Purdue University at West Lafayette (COE); Lazlo Stepback, Purdue University at West Lafayette (PPI)

include engineering students’ understanding of ethics and social responsibility, sociotechnical education, and assessment of engineering pedagogies.Dayoung Kim (Ph.D. Candidate)Lazlo StepbackCarla B. Zoltowski (Assistant Professor of Engineering Practice) Carla B. Zoltowski is an assistant professor of engineering practice in the Elmore Family School of Electrical and Computer Engineering and (by courtesy) School of Engineering Education, and Director of the Vertically Integrated Projects (VIP) Program within the College of Engineering at Purdue. Prior to her appointment in ECE, Dr. Zoltowski was Co-Director of the EPICS Program. She holds a B.S.E.E., M.S.E.E., and Ph.D. in Engineering Education, all from Purdue. Her

Conference Session

Remediation and Curricular Changes to Improve Student Learning and Outcomes

Collection

2022 ASEE Annual Conference & Exposition

Authors

Carlos Salazar; Constantine Macris, United States Coast Guard Academy

= 2𝑎𝑎1±�12 −4(−2) = (1±3) /2. This results in roots at 2 and -1. 2Figure 1 contains graphs of examples 1 and 2 showing the zero crossings (roots) of each. Figure 1 graphs of example quadratic equationsUsing the quadratic formula to solve quadratic congruencesA popular approach to deriving the quadratic formula is to complete the square as in example 2but using the variables a, b, and c rather than specific numbers from a particular example. Thequadratic formula can in many cases be used to solve quadratic congruences as long as we usemodular versions of the operations used to compute square roots, handle negative numbers byreduction modulo n and perform divisions by using multiplicative inverses. It

Conference Session

Energy Conversion and Conservation Technical Session 2: Enhancing Energy-Related Education with Student Design Projects

Collection

2022 ASEE Annual Conference & Exposition

Authors

Bala Maheswaran, Northeastern University; Adrian Criollo; Ananya Reghupathi, Northeastern University; Ansh Shah, Northeastern University; Robert Lee, Northeastern University

persistence and collaboration. As in appendices 1 and 2, the systematicapproach of our project provided us with an extensive array of skills from research, design,construction, testing, and technical writing. Additionally, collaboration was vital to this project aswe learned how to communicate with different people and engineers and discovered how to spendour time the most effectively. The paper also highlights how student projects can be used forinnovative solutions to real-world problems and how to prepare engineers for future needs.References [1] M. M. Waldrop, “The Science of Teaching Science”, Nature, Vol 523, 272-274 (2015) [2] B. Maheswaran, "Impact of a Design Project on Engineering Physics: Motor does it really motivated our

Conference Session

Biomedical Engineering Division: Integrating Design Across the BioE/BME Curriculum

Collection

2022 ASEE Annual Conference & Exposition

Authors

Mostafa Elsaadany, University of Arkansas; Mary Jia, University of Arkansas; Jordan Crosby, University of Arkansas; Raj Rao, University of Arkansas

). Comparing the resultsderived from FEM simulations in SolidWorks to manual calculations of the displacement of thecantilevered assembly under a load (Figure 1) and the stress in a beam under a distributed loadproduced an error percent of 2.1% and 4.7%, respectively. Considering 3D approximations andnatural error in FEM solutions, the error percent is sufficiently low for the simple problemsstudents are expected to be able to solve in Biomechanics based on the two samples described inthe demo videos.(A)Figure 1: (a) A cantilevered assembly of simply supported A36 steel beams under a 15-kipdistributed load. (b) Displacement with respect to the front beam’s parametric distance under theapplied load. (A)Figure 2: (a) Carbon steel alloy beam with a

Conference Session

ERM: Self-Efficacy, Motivation, and MORE!

Collection

2022 ASEE Annual Conference & Exposition

Authors

Campbell Bego, University of Louisville; Jeffrey Hieb, University of Louisville; Patricia Ralston, University of Louisville; Thomas Tretter; Jason Immekus; Jody Zhong, University of Louisville

students’ beliefs in their abilities and decisions tostay in engineering [6]–[8].However, very little research has considered mid-level performers—those who receive a C intheir first semester math course. At one large southeastern university, studies revealed thatapproximately equal numbers of students who receive a C grade in their first math course eitherpersisted through their math requirements or left engineering by their third year (see Figure 1,[11]).Figure 1: Initial math performance and corresponding math completion rates (a proxy forgraduation rates) at the University of Louisville’s J. B. Speed School of Engineering, from [11].As reported in [11], the large number of C-in-math students who completed the math sequenceindicates that it is

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Manuel Rossetti, University of Arkansas; Edward Pohl, University of Arkansas; Bryan Hill, University of Arkansas; Xintao Wu, University of Arkansas; Ronna Turner, University of Arkansas; Wenjuo Lo, University of Arkansas; Jeffrey Offord, University of Arkansas

industrial manufacturing contexts. Each unit has a feedbackmechanism to gather information from students and allow for improvement. The units have thefollowing topical coverage:1. Unit 1: Cohort Building and Introduction to Data Science a. Group ice breaker b. Overview of data science careers and methods c. Industry speaker2. Unit 2: The Role of Databases, Data Extraction and Transformation within Data Science a. Database technology and relational modeling b. Hands-on building small databases c. Introduction to SQL d. SQL constructs for data science work3. Unit 3: A Primer on the use of Python within Data Science a. Editing and running python code b. Files, reading, and writing c. Data frame concepts

Conference Session

Computers in Education 2 - Programming 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Frank Vahid, University of California, Riverside; David May, University of California, Riverside

series of runs -- some with large AddedLOC jumps, some veryincremental, some between. Table 1 shows those 20 students (column "S") and their runs (LOCsin column "LOC per run"), in random order. We then examined each student's runs in moredetail, assigning an incremental development grade (column "G" in Table 1) to each student,with an A grade being deserving of full credit, an F no credit, and B, C, D, falling in between.This gave us a sense of whether our heuristics were matching our "teaching intuition".Heuristic 1 (column "H1") did poorly, giving too many students high scores when the manualgrade suggested lower. The problem was because although egregious jumps in code size wouldbring the score to 0, just 10 subsequent runs back up near 1

Conference Session

Investigations Using Calculus Courses

Collection

2022 ASEE Annual Conference & Exposition

Authors

Emre Tokgoz, Quinnipiac University

application of integral concept is area calculations. Given acontinuous function f on the interval [a, b], the Riemann integral can be determined by using thelimit of sums: b n  f ( x) dx  lim  f ( a  ix)x. (1) a n i 1Limit definition of integrals is taught at early stage of calculus education; therefore, approximationof the limit definition of function integral, Riemann sum, is assumed to be known by the NumericalMethods/Analysis students. The limit definition of definite integral involves concepts such asfunctions, limit, derivative, and summation rules. Definite integral

Conference Session

Biological and Agricultural Engineering Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Iftekhar Basith, Sam Houston State University; Richard Ford, Sam Houston State University; Ashley Morgan-Olvera; Devyn Matthews; Jacob Brandon, Sam Houston State University; Doug Ullrich, Sam Houston State University

thorough this fundingapplication. She is working closely with learning module and curriculum development to verifyinvasive species identification and management information. Jacob Brandon is a Graduatestudent in Agricultural Sciences, working on the curriculum development and preliminarydissemination into high school classrooms across the state. b. ObjectiveThere are over 1100 programs teaching classes in AFNR in public and private schools in Texas,and the expedited dissemination of knowledge and skills across the state would have animmediate impact. To provide the program proposed successfully, this funded work adhered tothe following objectives:Table 1: Objectives of Biosecurity Curriculum Objective 1 Develop a TEKS-aligned and USDA

Conference Session

Mechanical Engineering: Fluids, Heat Transfer

Collection

2022 ASEE Annual Conference & Exposition

Authors

Jack Elliott, Utah State University; Angela Minichiello, Utah State University; Kevin Roberts

fluid flow withininterrogations regions is referred to as Particle Image Velocimetry or PIV. Figure 2 provides thePIV result of imaging the vortex ring flow depicted in Figure 1. As shown in Figure 2, imagesA1 and A2 are cross-correlated, using 64x64 pixel interrogation regions, to calculate the velocityvector field (B). Figure 2. Demonstration of PIV images and results. A) Demonstrates consecutive (A1, dt=1/60s, A2) raw smartphone images of a vortex ring in water seeded with 100𝜇m hollow glass spheres and illuminated by a~5mW laser and glass stir stick lens. B) Demonstrates the resulting vector field from PIV analysis correlating 64x64 pixel interrogation regions.Professional PIVIn the science and engineering domains, PIV is often