Copyright 2005, American Society for Engineering Educationequations are used when a machine is in a stationary position, as well as when its parts moveslowly enough that their accelerations are negligible, or when some part moves with constantvelocity (e.g. shafts rotating). Connections / Joints - introduction ConnectionsMembers in machines and frames/trusses are connected to one another by joints: The following relative motion of body A and B are possible
accelerometer time historyand corresponding FFT for the 2 DOF system seems helpful in understanding resultsfrom subsequent beam testing.Figure 2 shows a screen capture from the data acquisition unit for the two DOF tests withan accelerometer mounted on one of the masses. At left, in both the top and bottom plots,is the time history, and at right is an FFT of the time domain data. The top plots are for acase when the initial displacements were set so that mode 2 motion was highly dominant,and the bottom plots are for a case where general initial conditions were used, and bothmodes clearly participate. (The frequency range in the FFT’s is not the same for bothcases.)B. Finite Element AnalysisThe students are provided an ANSYS macro, which creates a 3D
concentration in the fillet region using ANSYS. Use a plane stress assumption with Plane42 elements. Compare the result to expected results that may be found in a reference book, such as a machine design textbook. Perform the analysis for two force levels. Use one force level for which the peak stress is below the yield point for your material, and one for which it is significantly above the yield point. b) Enter the nonlinear material model in ANSYS and repeat the analyses in step a. Write a concise report summarizing and commenting on your results. The report should be written in Microsoft Word with appropriate ANSYS stress and strain contour plots. For the nonlinear material model case, you should include plots showing both elastic strain and
5-STEP DESIGN METHODOLOGY FOR A GENERAL PURPOSE CPU USING STANDARD CPLDs/FPGAs Karim Salman, Michael B. Anderton Middle Tennessee State UniversityAbstractWe present a novel hardware Central Processing Unit (CPU) design methodology basedon a 5-step approach. The method starts with a definition of the target CPU internalcomponents and data and address size. The method is applicable to a higher level ofabstraction and complexity. However, for ease of illustration a basic CPU with aminimum size instruction set is selected. The instruction set complies with the instructionset completeness criteria. The instruction format is likewise chosen to be simple andillustrates
obtained using function minimization (fminsearch in Matlab) and themathematical equations linking the model and the actual tests results. The complete procedureand equations can be found in [7].Φ( s) G =U ( s ) s ( s + as + b)( s + c) 2 (1) -1with a=3.5 sec, b=177, c=4 sec and G=8126 rad/sec*volt. To control this system a novel PID configuration is used. This novel PID is named “PID-Dual-Loop” (later referenced as PIDDL in this paper) and has been proposed by DeSantis [8].One of the main advantage of this controller is that the tuning of its gains is
students placed in stressful situations, thereare going to be dynamic group situations. The environmental capstone class was no exception. Page 10.724.9What was different was that students remained positive and quickly mended any problems. Theevaluations reflect some of the students’ thinking on group interactions. Student A writing about Student B: Student B works well with other team members and is better at incorporating other group member’s ideas into a proposed solution. Student B: We all need to work on telling other group members what is going on with our portion of the project. Student A on Student C: Student
) anability to apply knowledge of mathematics, science, and engineering; (b) an ability to design andconduct experiments, as well as to analyze and interpret data; (c) an ability to design a system,component, or process to meet desired needs; … (e) an ability to identify, formulate, and solveengineering problems; … (k) an ability to use the techniques, skills, and modern engineeringtools necessary for engineering practice.” And most specific disciplines require a “proficiency inmathematics”8.Therefore, Markov Chains is important not only in current research, but also follows ABETguidelines.3. Modeling and Simulation (M&S)Modeling and Simulation (M&S) allows engineers to study a real-world event withoutexperimenting on the actual event
related to the development of computer controlledmechanisms which model different types of locomotion behaviors. The projects developedmodels imitating snake crawling (Figure 3A), spider motion (Figure 3B), and human-likewalking (Figures 3C and 3D). A. B. C. D. Figure 3. Bio-inspired projects: A. Snake crawling; B. Spider motion; C. Human-like walking (stiff feet); D. Flexible feet walkingThese projects were carried out by the students through the following stages:• Movement creation - understanding biological principles of the given type of locomotion.• Kinematic scheme synthesis - examining alternatives
one ortwo semesters beyond the completion of the course they assist. They are not used as contentexperts although they have provided technical assistance to students; their main purpose is toshow by example how students can effectively work together to solve problems.To encourage collaboration, students are put in small groups or teams and are given challengeproblems during class time. As a further encouragement for students to work together, extracredit points are provided on examinations when everyone in a small study group improves theirexam scores. For example, suppose the official study group size is three members. Refer to thestudents as Student A, Student B and student C. After grading the first exam, add the scoresearned by students A
environmentwas designed to help bridge the existing “chasm” between how science is carried out in researchenvironments and how it is taught in secondary and undergraduate classrooms3. The LRCprofessional development environment brings together teams of experts from university andpublic school classrooms and laboratories to investigate the unique aspects of this environmentthat affect student learning. One assumption underlying the LRC is that mathematics and scienceteaching and learning will be improved when all participants in a learning environment ofdistributed expertise (a) become more connected to the authentic science research done in fieldsettings or laboratories and (b) work together to design innovative instructional frameworks thattranslate
toinvestigate the hypothesis that teachers with certain learning preferences of their own mightprefer to participate in a project that encourages the use of teaching techniques that appeal to avariety of learning styles. If this hypothesis is true, it might also mean that teachers who have apreferred learning style might be attracted to teaching techniques that appeal to that learningstyle.The results of the learning style assessment are reported in tables 8 and 9. The assessmentconsists of a number of questions that have two answers to select from. The “a” answercorresponds to one aspect and the “b” answer to another from the same scale. There are elevenquestions that correspond to each pair of aspects. Scores were calculated as if one
variety of situations). Facilitators wereasked to be responsible for the following: a) reminding participants of upcoming sessions, b)providing an agenda, and c) ensuring balanced participation during the sessions.Table 2. Overview of topics addressed during the Autumn 2004 offering of the seminar1. Overview and topic generation: The group used a think/share structure to generate a variety of potential topics for the Autumn 2004 seminar.2. Getting to know each other: Each participant described their interests within the field of technical communication. The students then generated a map of their interests and also their “nearest neighbor” in terms of interests.3. a) Overview of the Technical Communication PhD program: Participants
adopting these types of projects at thefirst year level 13-17, we address these issues. The overall goal is to provide guidelines forengineering educators that would make their implementations more successful in terms ofenhancing student learning and student retention in engineering disciplines. To this end, weassert that a comprehensive study (which is underway), should involve the following steps: 1. Assessing the appropriateness of industry-sponsored project selection in terms of: a. Relatedness of the design project to the engineering discipline of choice for students, b. Gender orientation of the project domain, c. Ambiguity of the project and student readiness for open-ended problem solving
on multi-disciplinary teams and one "did not answer" code. Forthe purposed of this paper, we only analyzed the responses of those students who received 2?“did not answer” codes on the pre-survey. Table 10. ABET Criterion 3 a-k5. (a) an ability to apply knowledge of mathematics, science, and engineering (b) an ability to design and conduct experiments, as well as to analyze and interpret data (c) an ability to design a system, component, or process to meet desired needs (d) an ability to function on multi-disciplinary teams (e) an ability to identify, formulate, and solve engineering problems (f) an understanding of professional and ethical
Building a Foundation for Pre-Calculus Engineering Freshmen Through an Integrated Learning Community Ricardo B. Jacquez, Michele Auzenne, Susanne Green, Chris Burnham New Mexico State University/University of Texas at El PasoAbstractBeginning in February 2003 the William and Flora Hewlett Foundation funded a five-yearproject designed to address retention of freshmen engineering students at New Mexico StateUniversity. The freshman engineering integrated learning community (ILC) is a cluster of first-semester students who are beginning their engineering studies below the Calculus I level. Thestudents are enrolled in algebra, freshman composition, a freshman engineering seminar
impact of CAE on engineeringeducation. Project goals seek to a) utilize CAE to enhance the pedagogy of select fundamentalengineering topics, b) expose students to CAE tools typical of industry, and c) enhance theanalysis capabilities of students. The primary focus of the project pertains to the interaction ofpedagogy and CAE. Formative assessment efforts address the influence of CAE on studentlearning in individual courses. The second project goal pertains to exposure to CAE. Carefulplanning and placement of the learning modules throughout the curriculum ensures that studentsenrolled in a participating discipline achieve some experience with CAE during their tenure atMUSE. The third project goal aims to enhance the analysis capabilities of
course that introduces students to signal processing and communications research is also beingdeveloped. Current research reviewed by the National Research Council and documented in the book [Bra00]indicates that in order to develop competence in an area of inquiry students must: a) have a deepfoundation of factual knowledge, i.e. the necessary SP-COM theory, b) understand facts and ideas in thecontext of a conceptual framework, e.g. in this case the target wireless application, c) organize knowledgein ways that facilitate retrieval and application. Similarly, the Boyer Commission [Boy98] on Educating Page 10.19.2
) transfer export thermal energy to thermal energy energy thermal energy (a) (b
Concept Mapping as a Form of Knowledge Assessment and Instruction in the Domain of Information Systems Leonid B. Preiser Department of Computer Science and Information Systems School of Engineering and Technology National University 11255 North Torrey Pines Road, La Jolla, CA 92037-1011 (858) 642-8483, fax (858) 642-8489IntroductionThis paper focuses on applications of the concept mapping (CM) approach, a cognitive learning andassessment tool invented at Cornell University, for curriculum planning and student assessment inthe domain of
laboratory for freshman engineering education, ASEE/IEEE Frontiersin Education Conference T3 R-7 Boulder, CO (November 2003). [10] B. A. Galwas and R. J. Rak, Virtual laboratory- A future part of the new web-based model ofundergraduate engineering studies developed by Warsaw University of Technology, Joint IMEKO TC-1 &XXXIV MKM Conference 2002.[11] D. Z. Deniz, A. Bulancak and G. Ä Ozcan, A novel approach to remote laboratories, ASEE/IEEE Frontiersin Education Conference T3 R-8-T3 R-12, Boulder, CO (November 2003).[12] A. Ferrero, S. Salicone, C. Bonora and M. Parmagiani, ReMLab: A java-based remote, didacticmeasurement laboratory, IEEE trans. Instrumentation and Measurement 52, 710-715 (2003).[13] M. Casini, D. Prattichizzo and A. Vicino, The
Outcomes Assessment in International Engineering Education: Creating a System to Measure Intercultural Development Matthew Mayhew1,3, Melissa B. Eljamal2, Eric Dey1, and S. W. Pang2 1 School of Education 2 College of Engineering The University of Michigan Ann Arbor, Michigan, 48109 3 Current Address: University of North Carolina Wilmington Wilmington, NC 28403AbstractThe University of Michigan College of Engineering has developed a
TreatmentsFigure 3 shows the microstructures of four of the steel samples. Martensite is formed through the1650F-RT (Room Temperature) treatment, tempered martensite is formed through the 1650F-RT-1250F treatment, coarse pearlite is formed through the 1650F-1250F heat treatment, andcoarsening is evident when steel is annealed. Students then perform Rockwell A Hardness testson the samples. This scale was chosen as several of the samples have hardness values whichoverlap the Rockwell B and Rockwell C Scales.To complete the laboratory report, the students use the data collected by the class as a whole.Every student performs a hardness test and prepares a sample for microstructural analysis. It ishere that they must synthesize the knowledge they have learned
ofcompetencies as defined by the Tilford Group include the three broad areas ofknowledge, personal attributes, and skills (with many subcategories in each area). In aprevious paper [10] the authors have shown both systems of classification to be fairlycomprehensive and therefore either one can serve as a basis for our rules. Any rulepresented should meet the following criteria,a) All rules should be inferred from expert advice, statistically relevant facts or empirical evidence;b) Each rule will be presented with an example of how it is applied in making a business decision;c) All rules taken together must comprehensively satisfy all requirements in any accepted definition of diversity skills (e.g. Yee’s four levels of concern, multicultural
assigned gestures, as shown inFigure 3. When a gesture is recognized by the system, the user can manipulate the CAD modelby changing their hand orientation. For example, to rotate the object along any arbitrary axis, theuser must grasp the model and then vary the pitch and roll values of the tilt sensor. The index andmiddle finger point gesture, as shown in Figure 3(c), initiates zoom mode. After gesturerecognition, the tilt sensor’s roll value controls zooming in and out. A flat hand gesture releasesthe object. Object translation is controlled by an index finger point gesture, as shown in Figure3(b). The tilt sensor’s roll, and pitch values make the object translate. The gesture shown inFigure 3(d), combined with roll values, controls toggling
10.705.6 6A. Judging the SVBPC After the completed business plans are submitted to the SVBPC, SJSU faculty members firstread each plan and determine the “finalists.” There were six finalists in the first SVBPC andseven in the second, but we envision a maximum of 10 finalists in any particular year. The final round judges are recruited from Silicon Valley to emphasize the practical value ofbusiness plan writing. The two main criteria used in judging the completed business plans are: a)the quality of the business plan itself, and b) the commercial viability of the proposed newventure. The first criterion means that well written, well organized, and complete business plansare desired, and the second
recommend a good Civil Engineering textbookthat would help me better understand these concepts.”Assessing Student Learning and Interest in EngineeringTo assess the impact of the contest on students’ learning and attitudes about engineering, wesurveyed contestants and teachers at four schools during the spring of 2003. These schools,described in Table 3, were selected because they represented a variety of regions, grade levels,and student populations--and because each had a supportive teacher who volunteered to assist.These teachers administered our survey instrument to all students participating in the contest.Each teacher also completed a separate survey. School A School B School C
” that had a low score of 3.77. This was quitepuzzling given that the instructor had three hours of office hours each week (that no student hadcome to), and generally waited around after class until the last student left. However, it wasdecided to constantly remind students about the office hours, consistently ask them in class howthey were doing, both one-on-one, and as a class, and if they needed help with any aspects of thecourse. Results from the October course and instructor assessments are shown in Figures 2(b)and 3(b), respectively, with the numeric scores summarized in Figure 1 and Table 5. For thecourse scores, the averages were slightly lower for most attributes, but the number of “stronglydisagree”, “disagree”, and “neutral
Course to Engineering Program OutcomesThe following is an assessment of the twelve program outcomes for Engineering Principles I & II, asrequired by ABET Criterion 3 (a–k). The program outcomes are written to reflect the mission andobjectives of George Fox University, a faith-based educational institution that is anchored in the liberal artstradition. It is noteworthy that this freshman course covers all but one of the outcomes, more than any otherengineering course we offer. a. an ability to apply knowledge of mathematics, science, and the engineering sciences for effective engineering problem solving—Problem solving techniques rely on an understanding of algebra, trigonometry, and basic science. b. an ability to design and
Creating Access, 1997-1998.” NACME Research Letter, Vol. 8, No. 2. http://www.nacme.org/pdf/RL-1998-10.pdf4. May, Gary S. and Chubin, Daryl E. (2003). “A Retrospective on Undergraduate Engineering Success for Underrepresented Minority Students.” Journal of Engineering Education, January.5. Baker, G. (1984). “Pre-College Preparation of Minority Students for Careers in Engineering.” Transactions of American Nuclear Society, Vol. 46, pp. 35-36.6. Snyder, N. and Bowman, B. (1989). “Improving the Pre-Engineering Education of Low-Income Minority Youth: Lessons from a Demonstration Project.” ASME Tech. Soc. Publicn.,Vol. 2, pp. 1-6
individual classsessions and overall course content; ability to stimulate students; ability to direct student word inside andoutside the classroom; ability to devise methods of determining a student's progress and achievementappropriate to the courses taught; and accessibility to students and demonstrated interest and involvementin their welfare.(b) Scholarship: In reviewing a candidate's scholarship, the committee considers the specific contributionsto legal scholarship of the candidate's major works, the significance of the works, and the quality of theirexecution. The committee also takes into account the relative standing of the candidate in comparisonwith other scholars of the same generation who are doing comparable work. In addition, the