comprised of two primary systems, a mobile vehicle and remote controlstation. Each system is further broken down into subordinate systems.1. Mobile Vehicle Page 25.397.4The mobile vehicle is a tracked vehicle running a number of sensors and sensor systems toaccomplish the primary task of locating the desired item(s), moving to the item(s) location,providing verification methods of the item(s), and transmitting the item’(s) location back to thecontrol station. a. Drive SystemThe drive system is broken down into two identical halves, one for the port side and one for thestarboard side. Each side operates completely independently of the other
Models of Construction Productivity,” Journal of Construction Engineering and Management, ASCE, 112(2), 245-258.3. Gates, M. and A. Scarpa, (1972), “Learning and Experience Curves,” Journal of the Construction Division, ASCE, 98(CO1), 79-101.4. Parker, H. W. and C. H. Oglesby, (1972), Methods Improvement for Construction Managers, McGraw-Hill, New York, NY. Page 25.1422.105. Diekmann, J. R., D. l> Horn, and M. H. O’Connor (1982), “Utilization of Learning Curves in Damage for Delay Claims,” Project Management Quarterly, Dec., 67-71.6. Everett, J. G. and S. Farghal, (1994), “Learning Curve Predictors for
decrease and hencerotor current and rotor frequency will decrease. Less rotor-current results in a lesser rotorelectromagnetic field. It is therefore impossible, for the rotor to rotate at the speed of the rotatingstator field. Slip is defined as the difference between the rotor speed and stator field speed, andis called synchronous speed. S = (NS - NR ) / NS (11) f r = S*f s = S*f (12) T = K*φ* IR* Cos (θR) (13) P.F.= Cos (θR) = tan-1 ( (f* S*Lr)/Rr) (14)Figure 8 displays the torque-speed characteristic curve of a typical Squirrel Cage Induction
k = 0.0756 W/(m2⋅K) Pr = 0.7126 µ = 4.6196 x 10-5 kg/(m⋅s) µ 4.6196 x 10 -5 ν= = = 1.5113 x 10 - 4 m 2 /s ρ 0.3057Then our Reynolds number is u ∞ D (9.32)(0.47) Re = = = 29,984 ν 1.5113 x 10 − 4At a surface temperature of 565 K we have µs = 2.955 x 10-5 kg/(m⋅s)Our Nusselt number correlation then gives [ ] 1/4 0.4
: http://amp.bc.inter.edu/ B. Industry Collaboration: Skills for the Millennium. One of the most significant accomplishments has been the compilation of skills, competencies and values required by employers of SMET graduates. The CIC met with a diverse sample of industry representatives, T he Gr aduating S MET S tudent P r ofile
for the next10 years. We would naturally be interested in how much worth would be accumulated at the end.If the growth rate was fixed and known, then the calculation of the future worth would bestraightforward. However, the authors feel that it is important to let the students be aware that inthe real world there are many investment possibilities where the growth rate is variable from yearto year.Suppose that the investment vehicle chosen was an S&P 500 index fund. The annual returnsfrom 1954 till 1993 given by Bernstein indicate that the arithmetic average annual return was13.1% and the overall equivalent annual return over the entire 40 years was 11.75%1. However,the individual annual returns can vary from –26.5% to 52.6 %. This
water and Eis in volts). A typical calibration curve is shown in Figure 4. They are required to calculate a linefitting sample variance for the manufacturers calibration and determine if their results meet theaccuracy specification. Next they fit a line to their data and calculate a line fitting sample variancewhich they also compare to the manufacturers calibration curve. The final step is to performanother linear regression in the differential pressure data range that corresponds to a pitot probevelocity of 2- 9 m/s and calculate a line fitting sample variance for the fit. They combine this withthe resolution uncertainty of the micro-manometer and calculate the resultant uncertainty invelocity measurements in the range 2 to 9 m/s. Uncertainty
, 1995.2. Cabral, A., Viau, R., and Bedard, D., “Situated Learning and Motivation Strategies to Improve CognitiveLearning in CE,” 1997 ASEE Annual Conference Proceedings, CD, 1997.3. Mintz, S. and Liu, G., “Service-Learning: An Overview,” in National and Community Service: A Resource Guide,(Washington, DC: The Corporation for National and Community Service), 1993.4. Tsang, E., Martin, C. and Decker, R., “Service Learning as a Strategy for Engineering Education for the 21STCentury, “1997 ASEE Annual Conference Proceedings, CD, 1997.5. Vader, D., Erikson, C. and Eby, J., “Cross-Cultural Service Learning for Responsible Engineering Graduates,”1999 ASEE Annual Conference Proceedings, Charlotte, NC, CD, 1999.6. Myers-Lipton, S., The Effects of Service
Session 2793 Africa: A Focus on the Southern Cone Arthur Gerstenfeld, Ph.D. Worcester Polytechnic Institute Worcester, MA 01609AbstractThe purpose of this paper is to discuss an innovative project, partly based on a recentlypassed law entitled "Africa Growth and Opportunity Act" and to show how this presentsopportunities for universities and for businesses. The first part of this paper discussessome of the background regarding U. S. and Africa. The second part of the paperdescribes a project starting in summer 2001 that we believe may impact many studentsand faculty at our university
2nd 2nd 3r d 3r d 10th 10th 1s t S em 1s t Sem 4th Sem 4th S em 5th Sem 5th Sem 6th S em 6th Sem 7th Sem 7th Sem 8th S em 8th Sem 9th Sem 9th S em S em Sem S em Sem Sem Sem FC TR FC TR FC TR FC TR FC TR FC TR FC TR
-technical input 2 3. Over the past forty years or so engineering hasbeen positioned by educators and many practitioners as being necessarily independent of andimmune from social influence 4 1. In the mid-1950’s engineering education in the United Stateswas directed away from social-technical integration toward more scientific and mathematicalcontent 5, 6. At the same time that engineering education stepped away from problem definitionand consideration of non-technical aspects of design, the educational discipline of professionalmanagement provided specialists to assume the decision-making roles in society 7. Engineeringstudents were subsequently taught that it was the role of managers and other non-technologists tocut through the politics, external
engineers withtraining suitable for the defense industry. Indeed, a number of engineering educators haveviewed engineering education from 1945 to the early 1990’s as primarily structured to supply theeducation needed for defense, and later space-based, activities.However, with the end of the Cold War, significant activity relating to a major change inengineering education has been and is currently taking place. Within the next few years,engineering education seems likely to undergo as significant a change as at mid century.Moreover, in addition to structural changes in engineering education, technological develop- Page 2.193.1ments related to the so
’ are engineers who will be able to prosper in the workplace of thetwenty-first century. We all agree that many changes took place in the workplace duringthe 1990's which are certain to continue. In order to produce graduate engineers with theappropriate skills for this new environment it is necessary to change the process by whichthey are trained. The conference presentation will include a discussion of the factorsaffecting curriculum development, a program overview, and also address departmentalissues pertaining to the process of curriculum re-structuring.The PreliminariesDramatic changes took place in the workplace during the 1990's which have affected theway engineering is practiced, and they will continue as we enter the new millennium
leaving the laborforce will add more than 68,000 new positions for civil engineers by the year 2005, according toa recent forecast of employment trends 1. Attracting talented high school graduates and impartingthe best possible civil and construction engineering education is critical to the future of the U.S.construction industry.In the early 1980’s the construction industry faced increased national and internationalcompetition, stringent governmental regulations, and an environmentally conscious populace.The industry also encountered issues such as organized labor, challenges of new technologiesand new materials, and construction of complex projects. These forces emphasized the value ofstrong engineering and management skills required for
. Preference for Taking Data. Whether a person pays great attention to detailed data, or prefers to make giant leaps, connecting “sketchy” dots to obtain a picture, he/she is typed as a Sensing (S) or Intuitive (N) type, respectively.3. Preference for Making Decisions. If a person decides based upon “cold hard facts”, or if decisions are based upon empathy for others, he/she is typed as Thinking (T) or Feeling, (F) respectively.4. Preference for Taking Data or Making Decisions. Whether one enjoys taking data and leaving options open for creativity, or making decisions rapidly and getting many things done, determines the Perceptive (P) or Judging (J) dimension.The above four categories, each with two choices, provide 16 combinations of
constant temperature. A plunger drives the Page 3.522.1sample material through a slit capillary at either constant or programmed flow rate. When usingslit capillaries, one can measure the pressure difference directly in the capillary. Viscosity ismeasured in terms of the pressure difference at certain shear rate. Capillary rheometry has found its main area of application in the measurement of polymermelt viscosities at shear rates below 1000 s -1 and at temperatures up to 500 oC 4. There are manyadvantages in using capillary rheometers. These include the relative ease of filling, the ability tochange temperatures and shear rates readily, the
efforts to create inclusive classrooms and programming.Dr. Melissa M. Bilec, University of Pittsburgh Dr. Bilec is an associate professor in the Swanson School of Engineeringˆa C™s Department of Civil and Environmental Engineering. Dr. Bilecˆa C™s research program focuses on the built environment, life cycle assessment, sustainable healthcare, and energy im ©American Society for Engineering Education, 2024 A Collaborative Virtual Air Quality Learning Experience with Kakenya’s Dream (Resource Exchange, Diversity) The curriculum we developed for this collaborative project focused on introducing thestudents and instructors to the importance of air quality (AQ), its impacts on
integrating and applying this information cohesively for a specific task. This limitation is evident in Steps 8 and 9 of ChatGPT’s solution, which redundantly recapitulate prior results, ultimately culminating in Step 10’s provision of a wholly incorrect conclusion—a mere !"# *, - $% repetition of information from Step 5 𝑎 = *' . It is evident that ChatGPT failed to resolve this problem, yielding a result that appears far- )./ fetched, with 𝑎& incorrectly equated to
versus that have not. Therefore, this research compares taxi-outand taxi-in times across three hub classifications (S/M/L) and ASDE-X implementation(Yes/No). This study aims to answer the following research question: What are the effects ofimplementing ASDE-X at – Small, Medium, and Large hub airports on the taxi-in and taxi-outtimes at these airports?Accordingly, the following hypotheses are tested in this paper: Ho: Taxi-out (or taxi-in) times are the same at Small hub (or Medium hub or Large hub) airports with ASDE-X as those without ASDE-X. Ha: Taxi-out (or taxi-in) times are different at Small hub (or Medium hub or Large hub) airports with ASDE-X as those without ASDE-X.METHODOLOGYTo answer the research question
InformationPseudonym Racial Gender Disability(s) Engineering Major Year-in-School International Identity Identity Student (Y/N)Susan White Woman Multiple physical disabilities Mechanical Third-year NLucy Black Woman Cognitive, learning Civil Third-year YAria White Woman Cognitive Industrial Ph.D. NClaire White Woman Cognitive, learning, physical Computer Science Fourth-year N Co-researcher Recruitment and Data Collection This
. decontextualized. Energy is a showcase the number of topic that can be difficult to projects in operation on campus. connect from conceptual to contextual.These main takeaways from our community stakeholder research will inform the design of thisnew course. We offer this paper as a way to provide a different example of curricular design, onethat pushes against the siloed nature of universities through local and interconnected examples ofcampus activity and documents a labor process that often is undervalued in reimaginingengineering curricula.References[1] G. D. Hoople, D. A. Chen, S. M. Lord, Gelles, L. A., F. Bilow, J. A. Mejia. “An Integrated Approach to Energy Education in Engineering,” Sustainability
anticipates testing these advancements in future endeavorsthrough a subsequent research study.5. References[1] J. H. Mathewson, “Visual-Spatial Thinking: An Aspect of Science Overlooked by Educators,” Sci. Educ., vol. 83, no. 1, pp. 1098–237, 1999, doi: 10.1002/(SICI)1098- 237X(199901)83:1.[2] G. Duffy, S. Sorby, and B. Bowe, “An investigation of the role of spatial ability in representing and solving word problems among engineering students,” J. Eng. Educ., vol. 109, no. 3, pp. 424–442, Jul. 2020, doi: 10.1002/JEE.20349.[3] M. Kozhevnikov, M. A. Motes, and M. Hegarty, “Spatial Visualization in Physics Problem Solving,” Cogn. Sci., vol. 31, no. 4, pp. 549–579, Jul. 2007, doi: 10.1080/15326900701399897.[4
PIECES: AN INFORMAL FRAMEWORK TO ENCOURAGE MULTIFACETED ENGAGEMENT a b c d a. Aerospace Engineering Department. CU Boulder J. Rush Leeker, L. MacDonald, S. Roudbari, L. Ruane, M. Palomar b. Global Engineering, CU Boulder c. Architecture, Sustainable Planning &
Education, 2024 PALAR IN PIECES: AN INFORMAL FRAMEWORK TO ENCOURAGE MULTIFACETED ENGAGEMENT J. Rush Leeker, L. MacDonald, S. Roudbari, L. Ruane, M. Palomar INTRODUCTION PROJECT DESCRIPTION 2 Action Learning (AL): METHODOLOGY Centers on a 'learning by
checkpoints were met with time to spare. Student 16 indicatesthat they advocated for splitting the workload, which likely means that some of their earlycommunications to student 115 would have made suggestions as to splitting up tasks. However,student 115 wrote that they felt the splitting of the workload was not as balanced as they wouldhave liked. From these entries, it seems that student 16 may have delegated tasks or aspects ofthe project to student 115, which could have included the template selection. This would suggestthat student 16’s experience in project #2 may have led them to select the same template inproject #3. Indeed, in project #1, student 16 worked in the group of three, which also selected theWord template. The team reflections for
to help practitioners navigate their careers, help practitioners betterunderstand their students and colleagues, and help administrators/mentors develop an asset-basedand systemic-based understanding of neurodivergence.References[1] H. B. Rosqvist, N. Chown, and A. Stenning, Neurodiversity Studies: A New Critical Paradigm. Taylor & Francis Group, 2020.[2] A. Cuellar, B. Webster, S. Solanki, C. Spence, and M. A. Tsugawa, “Examination of Ableist Educational Systems and Structures that Limit Access to Engineering Education through Narratives,” presented at the 2022 ASEE Annual Conference & Exposition, American Society for Engineering Education, 2022.[3] T. Sorg, “Where are We, and Where to Next? ‘Neurodiversity’ in
Teachers Association (NSTA), 2016. https://ngss.nsta.org/About.aspx (accessed Aug. 12, 2023).[2] Next Generation Science Standards Lead States, Next generation science standards: For states, by states. Washington DC: The National Academies Press, 2013.[3] W. Aminger et al., “Preservice secondary science teachers’ implementation of an NGSS practice: Using mathematics and computational thinking,” J. Sci. Teacher Educ., vol. 32, no. 2, pp. 188–209, Feb. 2021.[4] R. S. N. Lindberg, T. H. Laine, and L. Haaranen, “Gamifying programming education in K‐ 12: A review of programming curricula in seven countries and programming games,” Br. J. Educ. Technol., vol. 50, no. 4, pp. 1979–1995, Jul. 2019.[5] Bureau of Labor Statistics, U.S
Significance of Scholarship Programs in STEMIntroductionIn this Work-in-Progress paper, we share our ongoing work with an NSF Scholarships in STEM(S-STEM) program related to an iteration of analysis that looked across specific aspects in amore summative manner than our typical analyses during the five years of the project that aremore formative. As the project will soon enter an extension into a sixth year to use existingscholarship funds, we took this opportunity to begin to reflect on overarching goals toward thedevelopment and submission of a new S-STEM proposal to continue this work. The StudentPathways in Engineering and Computing for Transfers (SPECTRA) program in the ClemsonUniversity College of Computing, Engineering
/toolkit. Ourgroup and the various tasks each sub-group performs have been described in our past ASEEconference papers11-13.Some of the exercises we have developed and now assign to students every semester are listed inTable 1 below: TOPIC PROBLEM(S)Moment in 2D, Free-body Diagram SeesawEquilibrium of 1 rigid body or Frame Arm & PurseTruss: Method of Joint & Method of Section Minneapolis BridgeDistrib. Load, Centroid New Orleans Levee, Space StationFrame KeyboardCombined Frame & Truss BicycleFriction
., Yarbrough, D., Rothmyer, A., Rajagopalan, G., Otta, S., Caughey, D., Bhaskaran, R., Smith, S., Hutching B., and Moeykens, S., “Development of Hands-On CFD Educational Interface for Undergraduate Engineering Courses and Laboratories”, ASEE, AC 2004-1526, 2004.11. Blekhman, D., “Lessons Learned in Adopting a CFD Package”, ASEE, AC 2007-830, 2007.12. LaRoche, R., Hutchings, B., and Muralikrishnan, R., “FlowLab: Computational Fluid Dynamics (CFD) Framework for Undergraduate Education” , ASEE, AC 2002-1520, 2002.13. Ormiston, S., “Incorporating CFD into the Undergraduate Mechanical Engineering Programm at the University of Manitoba”, Proceedings of the Ninth Annual Conference of the CFD Society of Canada: CFD2001, pp. 333