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

Paper ID #37671Integrating SolidWorks 3D Design and Simulation Modulesinto Introductory Biomedical Engineering Courses for theDevelopment of Employability SkillsMary S Jia A rising senior biomedical engineering student at the University of Arkansas.Jordan CrosbyRaj R. Rao (Professor and Department Head, Biomedical Engineering)Mostafa Elsaadany (Assistant Professor) Assistant Professor - University of Arkansas | Department of Biomedical Engineering. © American Society for Engineering Education, 2022 Powered by www.slayte.comIntegrating SolidWorks 3D Design and Simulation

Conference Session

Construction Engineering Division Technical Session 1

Collection

2022 ASEE Annual Conference & Exposition

Authors

Seong Jin Kim, Minnesota State University, Mankato; Namhun Lee, Central Connecticut State University

). The Relationship of Student-Faculty Out-of-Class Communication to Instructor Immediacy and Trust. Communication Education, 48 (1), 41-47.7. Kim, S. J. & Lee, N. (2016). Team Building for Collaborative Learning Environment in Construction Education. American Society for Engineering Education (ASEE) Annual Conference & Exposition, June 26-29.8. Kim, S.J. & Lee, N. (2019). Key Factors in Construction Engineering and Management Education to Facilitate Student Engagement and Collaborative Learning. Associated Schools of Construction (ASC) Annual Conference, Denver, CO. April 10-129. Kortering, L. J. & Braziel, P. M. (1999). “Staying in School.” Journal of Remedial and Special Education, 20(2), 106-11310

Conference Session

Cooperative and Experiential Education Division Technical Session 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Donald Visco, The University of Akron; Nidaa Makki; Erin Stevic; Joshua Phillips, The University of Akron; Laura Carey, The University of Akron; Elle Bonnema

socioeconomic factors as well since some students may not have the transportationrequired for an in-person shadowing program.AcknowledgmentThis research is supported by the U.S. National Science Foundation with award number#1726464. Any opinions, findings, conclusions, and recommendations expressed are those of theauthors and do not necessarily reflect the views of the National Science Foundation.References[1] E. B. Fung, M. R. Frey, M. E. Valmont, D. E. Caffey-Fleming, M. Fraser, J. Williams, D. W. Killilea, E. Bogenmann, S. Livshits, and D. N. Boone, “Success of distance learning during 2020 covid-19 restrictions: A report from five STEM training programs for underrepresented high school and undergraduate learners,” The Journal of STEM

Conference Session

ETD - Technical Session 7 - ET Pedagogy I

Collection

2022 ASEE Annual Conference & Exposition

Authors

Michael Johnson, Texas A&M University; Bimal Nepal, Texas A&M University; Shubham Torvi, Texas A&M University

Increase the Self-Confidence and Belongingness of First-Generation College Students in Biomedical Engineering. J Biomech Eng, 2021. 143(12).10. Shotton, H., E.S.L. Oosahwe, and R. Cintrón, Stories of Success: Experiences of American Indian Students in a Peer-Mentoring Retention Program. The Review of Higher Education, 2007. 31(1): p. 81-107.11. Geri, S., The Effects of Formal Mentoring on the Retention Rates for First-Year, Low Achieving Students. Canadian Journal of Education / Revue canadienne de l'éducation, 2005. 28(4): p. 853-873.12. Zakiya, S.W., et al., Hierarchical Mentoring: A Transformative Strategy for Improving Diversity and Retention in Undergraduate STEM Disciplines. Journal of Science

Conference Session

Entrepreneurship & Engineering Innovation Division Technical Session 6

Collection

2022 ASEE Annual Conference & Exposition

Authors

Katey Shirey, eduKatey LLC; Lisa Bosman, Purdue University at West Lafayette (PPI)

, visitwww.PurduePD.com.6. References[1] N. R. Augustine, P. R. Vagelos, and W. A. Wulf, Rising above the gathering storm: Energizing and employing America for a brighter economic future. Washington, DC, 2005.[2] L. Bosman and S. Fernhaber, Teaching the entrepreneurial mindset to engineers. Switzerland: Springer International Publishing, 2018.[3] R. N. Coger and H. V De Silva, “An integrated approach to teaching biotechnology and bioengineering to an interdisciplinary audience,” Int. J. Eng. Educ., vol. 15, no. 4, pp. 256–264, 1999.[4] M. A. Kanny, L. J. Sax, and T. A. Riggers-Piehl, “Investigating forty years of STEM research: How explanations for the gender gap have evolved over time

Conference Session

Mechanical Engineering: Thermodynamics

Collection

2022 ASEE Annual Conference & Exposition

Authors

Emmanuel Glakpe, Howard University

derive the first lawefficiency (thermal efficiency) for a Carnot engine, Eq. 7. The expression for the Carnotefficiency is again derived when the concept of entropy is well understood and the processescomprising the cycle are presented on a T-s diagram. 𝑄𝑄 𝑇𝑇𝐻𝐻 � 𝑄𝑄𝐻𝐻� = ………………………………….(6) 𝐿𝐿 𝑟𝑟𝑟𝑟𝑟𝑟 𝑇𝑇𝐿𝐿 𝑇𝑇 𝜂𝜂𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐𝑐 = 1 − 𝑇𝑇 𝐿𝐿 …………………………………(7) 𝐻𝐻To ensure that the second law is enforced through quantification, the concept of entropy isintroduced and discussed both qualitatively and quantitatively. Published

Conference Session

Experimentation and Laboratory-Oriented Studies Division Technical Session 5: Remote, Hands-On Laboratories

Collection

2022 ASEE Annual Conference & Exposition

Authors

Ahmet Sabuncu, Worcester Polytechnic Institute; Kerri Thornton, Worcester Polytechnic Institute

unresponsive for several seconds. This could be due tothe network connectivity of the microcontrollers/dashboard users or the way the microcontrollersare programmed to publish data to the server. Troubleshooting is needed to find the exact reason.References[1] A. Sadik, T. Ortelt, C. Pleul, C. Becker, S. Chatti and A. Tekkaya, "The challenge of specimen handling in remote laboratories for Engineering Education", in 12th International Conference on Remote Engineering and Virtual Instrumentation, Bangkok, Thailand, 2015, pp. 180-185.[2] M. Sierra Apel, F. Odebrett, C. Paz and N. Perozo, "Multi-phase flowloop remote laboratory", in 17th International Conference on Remote Engineering and Virtual Instrumentation, University of

Conference Session

Architectural Engineering Division Technical Session 2

Collection

2022 ASEE Annual Conference & Exposition

Authors

Rania Al-Hammoud, University of Waterloo; Vaishnavi Pasalkar, University of Waterloo

, no. 2, pp. 82-87, 2020.[3] S. Sahin, "An Application of Peer Assessment in Higher Education," Turkish Online Journal of Educational Technology, vol. 7, no. 2, pp. 5-10, 2008.[4] S. Öncü, "Online Peer Evaluation for Assessing Perceived Academic Engagement in Higher Education," EURASIA J Math Sci Tech Ed, vol. 11, no. 3, pp. 535-549, 2015.[5] T. Issa, "Promoting Learning Skills through Teamwork Assessment and Self/Peer Evaluation in Higher Education," International Association for the Development of the Information Society, 2012.[6] K. S. Double, J. A. McGrane and T. N. Hopfenbeck, "The Impact of Peer Assessment on Academic Performance: A Meta-analysis of Control Group Studies," Educational Psychology Review, vol. 32, pp. 481

Conference Session

Aerospace Division Technical Session: Sustainability and the Workspace

Collection

2022 ASEE Annual Conference & Exposition

Authors

Shantanu Gupta, Purdue University at West Lafayette (PPI); Mary Johnson, Purdue University at West Lafayette (PPI)

, “Aeronautical Information Manual (AIM),” US Department of Transportation, June, 2021. https://www.faa.gov/air_traffic/publications/media/aim_chg_1_dtd_12-2-21.pdf[9] Federal Aviation Administration. “FAA Form 7110–2 PIREP Form - OMB,” OMB.report, 2022. https://omb.report/icr/202007-2120-006/doc/102821000[10] Johnson, I., Blickensderfer, B., Whitehurst, G., Brown, L. J., Ahlstrom, U., & Johnson, M. E. (2019). Weather Hazards in General Aviation: Human Factors Research to Understand and Mitigate the Problem. 20th International Symposium on Aviation Psychology, 421-425. https://corescholar.libraries.wright.edu/isap_2019/71[11] Gupta, S., Deo, M., Johnson, M. E., Pitts, B. J. & Caldwell, B. S. (2021). Exploratory Study of

Collection

2005 GSW

Authors

Terry Kohutek; Arun Srinivasa; Andrew P. Conkey

recognizable and relevant to the student’s major(s) [12,13]. 2). Students could predict performance of a proposed design with their current level of knowledge [4,14] 3). Prediction of the behavior of the system to be built is within the scope of the course content in concurrent math and science courses. 4). The project lends itself to supporting the engineering process rather than trial and error/guess work. 5). Material presented to the students to help predict behavior of the system to be analyzed must prepare students for follow on courses in the students’ chosen major(s). 6). Success does not rely on the fabrication ability of the students, 7). The project must be conducted within a suitable time period and

Collection

2005 GSW

Authors

Jeffrey Froyd; Donald A. Maxwell

recognizable and relevant to the student’s major(s) [12,13]. 2). Students could predict performance of a proposed design with their current level of knowledge [4,14] 3). Prediction of the behavior of the system to be built is within the scope of the course content in concurrent math and science courses. 4). The project lends itself to supporting the engineering process rather than trial and error/guess work. 5). Material presented to the students to help predict behavior of the system to be analyzed must prepare students for follow on courses in the students’ chosen major(s). 6). Success does not rely on the fabrication ability of the students, 7). The project must be conducted within a suitable time period and

Collection

2022 ASEE Illinois-Indiana Section Conference

Authors

Suneer Angra, University of Illinois Urbana-Champaign; Drashti Sikligar, University of Illinois at Urbana-Champaign; Colin Widmer Castleberry, University of Illinois at Urbana - Champaign; Jennifer R Amos, University of Illinois at Urbana - Champaign

] G. Conole and B. Warburton, “A review of computer-assisted assessment”, Research in Learning Technology, vol. 13, no. 1, Mar. 2005, doi: 10.1080/0968776042000339772[2] S. N. Ikwumelu, Ogene A. Oyibe, and E. C. Oketa, “Adaptive teaching: an invaluable pedagogic practice in social studies education”, Journal of Education and Practice, vol. 6, no.33, 2015.[3] B. Balakrishnan, “Motivating engineering students learning via monitoring in personalized learning environment with tagging system”, COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, vol. 26, no. 3, pp. 700–710, Feb. 2018, doi: /10.1002/cae.21924.[4] K. Soria, I. Chirikov, and D. Jones-White, “The obstacles to remote learning for undergraduate

Collection

ASEE-NE 2022

Authors

Sharif IM Sheikh, Wentworth Institute of Technology; Ahmed Hassebo, Wentworth Institute of Technology; Forhad Hossain, King Fahd University of Petroleum & Minerals; Kai Ren, Wentworth Institute of Technology

characterization of biological systems,” Int. J. Appl. Electromagn. Mech., vol. 50, pp. 353– 363, 2016.[4] R. T. Sheldon, “Radiofrequency and capacitive sensors for dielectric characterization of low- conductivity media,” 2015.[5] M. D. Janezic and D. F. Williams, “Permittivity characterization from transmission line measurement,” in Microwave Symposium Digest, 1997., IEEE MTT-S International, vol. 3, pp. 1343–1346, 1997.[6] Massa, R., Caprio, E., De Santis, M., Griffo, R., Migliore, M.D., Panariello, G., Pinchera, D. and Spigno, P., Microwave treatment for pest control: the case of Rhynchophorus ferrugineus in Phoenix canariensis. EPPO Bulletin, 41(2), pp.128-135, 2011.

Collection

2022 Spring ASEE Middle Atlantic Section Conference

Authors

Amy Voss Farris, Pennsylvania State University; Anna Eunji Kim, Pennsylvania State University

Tagged Topics

Diversity

ethicsand data bias as learning goals arose from only a rudimentary understanding of how machineslearn. We do not believe that critical perspectives about machine bias would have been possiblewithout a basic mechanistic explanation of the processes involved in machine learning.AcknowledgementsThe authors are grateful to the teacher candidates who creatively engaged in this work and toMehrdad Mahdavi and Swaroop Ghosh for inviting us to think together about machine learningsystems in drug discovery contexts. This work is partially supported by the National ScienceFoundation NSF OIA-2040667. References[1] Bolger, M. S., Kobiela, M., Weinberg, P. J., & Lehrer, R. (2012). Children's mechanistic reasoning

Conference Session

Technical Session 6 - Paper 3: Practitioners' Reflections on Developing and Implementing Virtual Educational Programming During COVID-19

Collection

2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)

Authors

Paula Davis Lampley Esq., University of Cincinnati; Whitney Gaskins, University of Cincinnati; Krizia L. Cabrera-Toro

Tagged Topics

CoNECD Paper Sessions, Diversity

- DMvm_VaJv8ne89rurfCXMNPwWxk9sUz5ioQ5zGD9lqnGko7wxuYAWq5jgEhpcdWA2XvIXbl3 2d_JHXJYoCIb-ivm2neGRQyBqKVuokhinC6U7rvA9eAtwLyfG10Mn8mMX-pPnafYyqGm- K8rMnYCQkH4YRz1o59rMXm286K24AiydNVFMat3OsSE7EsaQRJ0UD- yEsMpr6Jw66ub0ch_Ovd-orxvcwtlmXfOdBuTex-YHnD16iw 2. S. Olson, D. G. Riordan and Executive Office of the President. Engage to excel: Producing one million additional college graduates with degrees in science, technology, engineering, and mathematics. report to the president. Executive Office of the President. 2012 Available: http://uc.summon.ssc.uc.idm.oclc.org/2.0.0/link/0/eLvHCXMwjV1LSwMxEB6qeBA8KFZ8VJ kfsC3bbLK23ord1ovowXuZTbJSkCh1F_w1_tZOkq0vFLwEMixLMjCZB998A5CJQdr_8SYMq7 wyhoy0eUmcAdicSqVJkaxyfhD19-k-sBnq-F

Conference Session

Technical Session 4 - Paper 1: Valuable Professional Learning and Development Activities for Black STEM Postdoctoral Scholars

Collection

2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)

Authors

Sylvia L. Mendez, University of Colorado at Colorado Springs; Valerie Martin Conley, University of Colorado at Colorado Springs; Canek Moises Luna Phillips, Rice University; Tammy Michelle McCoy, Georgia Institute of Technology; Comas Lamar Haynes, Georgia Tech Research Institute; Kathryn Joan Watson, University of Colorado Colorado Springs; Sarah Elizabeth Cooksey, University of Colorado Colorado Springs; Kathryn Elizabeth Starkey, University of Colorado at Colorado Springs

Tagged Topics

CoNECD Paper Sessions, Diversity

, 44(8), 1187–1218.  • Cheryan, S., Master, A., & Meltzoff, A. N. (2015). Cultural stereotypes as gatekeepers: Increasing girls’  interest in computer science and engineering by diversifying stereotypes. Frontiers in Psychology, 6(49),  1–8.  • Collins, K. H. (2018). Confronting color‐blind STEM talent development: Toward a contextual model for  Black student STEM identity. Journal of Advanced Academics, 29(2), 143–168.  • Kricorian, K., Seu, M., Lopez, D., Ureta, E., & Equils, O. (2020). Factors influencing participation of  underrepresented students in STEM fields: Matched mentors and mindsets. International Journal of STEM  Education, 7(16), 1–9. Key references are included on this slide

Conference Session

Technical Session 12 - Paper 3: Increasing Minority Student Applications to STEM Graduate Programs: Lessons Learned and Outlook for a New Program

Collection

2022 CoNECD (Collaborative Network for Engineering & Computing Diversity)

Authors

Kingsley Nwosu Jr, Virginia Polytechnic Institute and State University; Tremayne O'Brian Waller, Virginia Polytechnic Institute and State University; Mandy J Wright, Fields Wright Consulting; Mike Ekoniak, Youngstown State University - Rayen School of Engineering

Tagged Topics

CoNECD Paper Sessions, Diversity

for Multicultural Education 11(2), 149- 159.32 32 References Fifolt, M., Engler, J., & Abbott, G. (2014). Bridging STEM Professions for McNair Scholars through Faculty Mentoring and Academic Preparation. American Association of Collegiate Registrars and Admissions Officers. Griffin, K. A. (2019). Institutional barriers, strategies, and benefits to increasing the representation of Women and Men of Color in the Professoriate: Looking beyond the pipeline. Higher Education: Handbook of Theory and Research: Volume 35, 1-73. Hurtado, S., Eagan, M. K., Tran, M. C., New man, C. B., Chang, M

Collection

ASEE Middle Atlantic 2022 Fall Conference

Authors

Alexander John De Rosa, University of Delaware; Maxine Fontaine, Stevens Institute of Technology (School of Engineering and Science); Frank T Fisher, Stevens Institute of Technology (School of Engineering and Science); Ashley Lytle

Tagged Topics

Diversity

theperceived importance of adaptiveness among students. In addition, the creation of an interviewprotocol will help foster conversations about educational behaviors and career expectations witha diverse array of undergraduate students.AcknowledgementsPartial support for this work was provided by the National Science Foundation Scholarships inScience, Technology, Engineering, and Mathematics (S STEM) program under Award No.2130428 and an American Talent Initiative’s Promising Practice Accelerator award funded byBloomberg Philanthropies. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation or the American Talent

Collection

2022 ASEE Gulf Southwest Annual Conference

Authors

Bernice Hoedzoade, Prairie View A&M University

radio—an integrated agent architecture for a software-defined radio,” 2000.4. J. Mitola Iii, ”Cognitive radio for flexible mobile multimedia communications,” Mobile Networks and Applications,vol. 6, pp. 435-441, 2001.5. T. Yucek and H. Arslan, ”A survey of spectrum sensing algorithms for cognitive radio applications,”IEEEcommunications surveys and tutorials, vol. 11, pp. 116-130, 2009.6. D. Cabric, S. M. Mishra, and R. W. Brodersen, ”Implementation issues in spectrum sensing for cognitive radios,” inSignals, systems, and computers, 2004. Conference record of the thirty-eighth Asilomar conference on, 2004, pp. 772-776.7. W. Ejaz, ul Hasan, N., Lee, S. et al., ”Intelligent spectrum sensing scheme for cognitive radio networks,” EURASIPJournal on

Collection

2022 ASEE Gulf Southwest Annual Conference

Authors

Salvatore Enrico Paolo Indiogine, Texas A&M University; Brandon Chi-Thien Le, Texas A&M University; Sidharth Dhaneshkumar Shah

Instruction and Learning for over two years as a Production Assistant, and focuses his work on using technology to enable course development and innovation. Brandon is from Austin, Texas, and plans on going into a career in financial technology.Sidharth Dhaneshkumar Shah American c Society for Engineering Education, 2022 1 Session 2022 Creating Course Material through Automation of Lecture Caption S. Enrico P. Indiogine, Brandon Chi-Tien Le Engineering Studio for Advanced Instruction

Collection

2022 ASEE Gulf Southwest Annual Conference

Authors

Md Shahriar Jahan Hossain, Northwestern State University of Louisiana; Rafiqul Islam, Northwestern State University of Louisiana

meetings on WebEx were also arranged to helpthem doing their labs more effectively.IET 3510 Motion and Time Study was taught in fall 2020 and in fall 2021. This is a lecture-orientedcourse coupled with a semester project conducted in different industries. The semester project isdesigned to adopt the students to work in a group within a real industrial environment. However, dueto the pandemic the course was offered online, as well as group projects and physical visits to theindustry became infeasible. Hence, unlike previous years, in fall 2020 and 2021 the semester projectwas assigned to individual students based on some recorded video clips of the assigned workstation(s)imitating virtual visits to the industry. Multiple recorded videos of some

Collection

2022 ASEE Gulf Southwest Annual Conference

Authors

Sarah Tao, Center for Robust Speech Systems (CRSS), University of Texas at Dallas; Satwik Dutta, University of Texas at Dallas; Yagmur N/A Seven; Dwight Irvin; Jay Buzhardt, University of Kansas; John H. L. Hansen, University of Texas at Dallas

Tagged Topics

Diversity

/future work, we will explore the use of speechand language processing technology to automate measurement of target PMLU and conversationalturn analysis. Conversational interactions of adults and children in naturalistic environments can beanalyzed to provide tracking data for teachers to consider when writing lesson plans and adaptingteaching methods for diverse students. References1. Durham, R. E., Farkas, G., Hammer, C. S., Bruce Tomblin, J., & Catts, H. W. (2007). Kindergarten oral language skill: A key variable in the intergenerational transmission of socioeconomic status. Research in Social Stratification and Mobility, 25(4), 294-305. doi:10.1016/j.rssm.2007.03.0012

Conference Session

NSF Grantees Poster Session

Collection

2022 ASEE Annual Conference & Exposition

Authors

David Alexander, California State University, Chico; Michael Kotar, California State University, Chico; JoAna Brooks, California State University, Chico

provide practical skills students candevelop without prior experience or knowledge.References[1] Upwork, The U.S. Independent Workforce Report, Freelance Forward 2020.[2] World Economic Forum, January 2016.[3] Ernst & Young, Supporting the Next Generation, The entrepreneurial mindset and the futureof work, 2018.[4] Byers et al, Entrepreneurship: Its Role in Engineering Education, The Bridge NATIONALACADEMY OF ENGINEERING, 2013.[5] https://www.bls.gov/emp/tables/stem-employment.htm, accessed 5/16/2022.[6] Kennedy, B., Fry, R., and Funk, C., 6 facts about America’s STEM workforce and thosetraining for it, Pew Research Center, April 14, 2021.[7] Bangera, G. and Brownell, S., Course-Based Undergraduate Research Experiences CanMake Scientific

Conference Session

Engineering Technology Technical Session 5

Collection

2022 ASEE Annual Conference & Exposition

Authors

Carmen Cioc, University of Toledo; Noela A Haughton, University of Toledo; Sorin Cioc

Tagged Divisions

Engineering Technology Division

laboratories, namely for Material Science and Thermal - Fluids Laboratories. The Department needs your help! The allocated funds are $20,000. Since the winter is fast approaching, the focus is heating the two labs. Your job is to design an HVAC system – heating only, and to make recommendations for installation and future maintenance. To complete the project, six project stages are necessary: o (Nov.7, 2021 – 5%) Stage 1: The Hook: List the Stakeholder(s) Requirements; Floor Plan (to be done 2D or 3D); Research the required documentations, including ASHRE Standards applicable. o (Nov. 14, 2021 – 20%) Stage 2: Using previous knowledge from Applied Thermodynamics and following the ASHRE recommendations

Collection

2004 GSW

Authors

Tariq A. Khraishi; Larissa Gorbatikh

usually translates toassigning design project(s) to groups of students11,12. Such design projects are by definition open-ended and have no unique answer or solution. The students thus have to invoke their imaginationand try to integrate a host of previous classes (i.e. previous knowledge) in order to solve theproblem at hand. This form of learning is considered the ultimate form since it is a replica of realengineering practice. It is worth noting that PBL is already existent in many engineeringcurricula, most notably through senior design courses. It is not common, however, inintroductory engineering classes, like Dynamics, which are typically lecture-based.This paper discusses the efforts by the two authors at coordinating a PBL experiment

Collection

2022 ASEE - North Central Section Conference

Authors

Samuel Joel Rainey, Geneva College; Christopher Charles Jobes P.E., Geneva College

Jobes P.E., Geneva College Dr. Jobes is a Professor of Mechanical Engineering at Geneva College in Beaver Falls, Pennsylvania, a Professional Engineer certified in Pennsylvania with his own consulting company, and is a Research En- gineer for the National Institute for Occupational Safety and Health (NIOSH) Pittsburgh Research Center. He worked for the U. S. Bureau of Mines in control and navigation of a computer-assisted mining machine from 1987 through 1997 earning his Professional Engineering certification from Pennsylvania in 1989. Dr. Jobes has since been working for NIOSH in Mining Equipment Safety, Jolting and Jarring Abatement in Mining Machinery, underground refuge alternatives, and Interventions to Enhance

Collection

2022 ASEE - North Central Section Conference

Authors

Tony Lee Kerzmann, University of Pittsburgh; Robert J Kerestes, University of Pittsburgh; Venkata Sai Vishwaknath Reddy Penumalli , University of Pittsburgh; Markos Norman Petkopoulos, University of Pittsburgh

-announces-steps-to-drive-american-leadership-forward-on-clean-cars-and-trucks/[Accessed January 23, 2022].[3] Jawad, S., & Liu, J. (2020). “Electrical vehicle charging services planning and operation withinterdependent power networks and transportation networks: A review of the current scenarioand future trends. Energies,” 13(13), 3371. https://doi.org/10.3390/en13133371[4] Xiao, H., Huimei, Y., Chen, W., & Hongjun, L. (2014). “A survey of influence of electricsvehicle charging on power grid.” 2014 9th IEEE Conference on Industrial Electronics andApplications (ICIEA), 121–126. https://doi.org/10.1109/iciea.2014.6931143[5] Tehrani, N. H., & Wang, P. (2015, March 30). “Probabilistic estimation of plug-in electricvehicles charging load

Collection

ASEE-NE 2022

Authors

Rithvik Rao Katikaneni, Northeastern University; Matteo Farah; Carlos Mario Martinez, Northeastern University; Kabato Burka; TOBECHUKWU CHIGOZIRIM ANIAGBOSO, Northeastern University; Bala Maheswaran, Northeastern University

testing Apparatus Significance Laser Thermometer To measure the temperature of the pan Multimeter To measure the voltage and amperage produced Tub To hold the ice on which the prototype shall be placed Ice To maintain tray at 0℃ Heat Gun To heat the panTesting Setup Figure 8 – Testing SetupFigure 8 is a pictorial representation of the prototype being tested with the help of the testingapparatus listed above.Results and AnalysisFrom the testing that was conducted, data was obtained for both the pre-determined testing cases. S. No Temperature (℃) Voltage (V) S. No Temperature (℃) Amperage (A) 1 35.4

Collection

ASEE-NE 2022

Authors

Jiaqiao Liang, Wentworth Inst. of Tech.; James R McCusker PhD, Wentworth Institute of Technology; Gloria Guohua Ma, Wentworth Institute of Technology; Louis Munson; Chandler Chen

near future.Reference:[1] J. Qiao, J. Shang and A. Goldenberg, "Development of Inchworm In-Pipe Robot Based on Self-Locking Mechanism," IEEE/ASME Transactions on Mechatronics, vol. 18, no. 2, pp. 799-806, April 2013, doi: 10.1109/TMECH.2012.2184294.[2] M. S. Khan, "An approach for crack detection in sewer pipes using acoustic signals," 2017 IEEE Global Humanitarian Technology Conference (GHTC), 2017, San Jose, CA, October 19-22, pp. 1-6, doi: 10.1109/GHTC.2017.8239242.[3] M. S. Khan and R. Patil, "Acoustic Characterization of PVC Sewer Pipes for Crack Detection Using Frequency Domain Analysis," The 4th IEEE International Smart Cities Conference (ISC2), Kansas City, Missouri, USA, September 16 – 19, 2018, pp. 1-5, doi

Conference Session

Technical Session M5A

Collection

2022 First-Year Engineering Experience

Authors

Sean P Brophy, Purdue University at West Lafayette (COE); John H Cole, Purdue University; Srinivas Mohan Dustker, Purdue University at West Lafayette (COE); William C. Oakes, Purdue University at West Lafayette (COE); Carla B. Zoltowski, Purdue University at West Lafayette (COE)

Tagged Topics

Diversity, Full Papers

Paper ID #36361Full Paper: First-Year Computing Course with Multiple ComputingEnvironments - Integrating Excel, Python and MATLABDr. Sean P Brophy, Purdue University at West Lafayette (COE) Dr. Sean Brophy is a learning scientist, computer scientist and mechanical engineer with expertise in developing and research effective learning environments. His research centers on developing engineering students’ expertise to adapt to new problem solving contexts.Dr. John H Cole, Purdue University John H. Cole (S’10–M’12) received the B.S.E.E. and Ph.D. degrees in electrical engineering from Purdue University, West Lafayette, IN, USA