) Amplifier output current (±50 mA max) Given Kq Servo-Valve Flow Gain (ft3/s/mA) Measured β/ Vt Hydraulic Oil Bulk Modulus (lb/in2)/ Calculated Volume of oil trapped between servo-valve control ports (in3) Kce Total Flow-Pressure Coefficient (in3/sec/psi) Calculated A Area of Cylinder Bore – Area of Cylinder Rod (in2) Measured Kamp Servo-Valve Amplifier Gain Given Kp Proportional Gain Input M Moving Mass (lb●s2/in
AC 2008-1419: KANSAS STATE UNIVERSITY’S ELITE SCHOLARSHIPPROGRAM:ENHANCING LIVES THROUGH TECHNOLOGY ANDENGINEERINGRaju Dandu, Kansas State University at Salina Raju S. Dandu is the program coordinator and professor of Mechanical Engineering Technology at Kansas State University at Salina. He teaches courses in CNC Machine Processes, Material Strength and Testing, Advanced CAD/CAM, Industrial Instrumentation and Controls, and Automated Manufacturing Systems II. He is active in offering workforce training in reliability centered maintenance, CE certification, process instrumentation and PLCs. His areas of interest are: Product risk analysis, Reliability Centered Maintenance, Energy Efficient Lighting
analytical modeling of semiconductor devices and sensors, and electronic instrumentation and measurement.Joshua Ward, Fairchild Semiconductor Josh Ward was a senior level Electrical Engineering student at the University of Southern Maine and was working as a Thin Films Process Technician at Fairchild Semiconductor Corporation, S. Portland while working on this project. He will complete his coursework and graduate from U.S.M. with a B.S. degree in Electrical Engineering in May 2008. Upon graduation he expects to be promoted to Process Engineer at Fairchild Semiconductor. Josh’s interests are semiconductor device fabrication, CMOS integrated circuit design and automated testing.Robert N
provided in [50].Expected Impact Table 1 shows the possible impact on different audiences in different settings and environments. Theefficacy of the program discussed in this paper is based on teaching at the undergraduate/graduate(formal) and K-12 (informal) levels. It may be pointed out that no formal education research wasconducted to generate the Table 1. Thus, the data provided here is qualitative and is based on theassessment of instructors, parents and other professional observers (one of the observers had a doctoratein education). Table 1 Learning level (Basic, Intermediate, Advance), underlying STEMS areas (S, T, E, M), expected impact (Low,Normal, High), learner interest (Low, Normal, High), possible audience types (Families
provided in [50].Expected Impact Table 1 shows the possible impact on different audiences in different settings and environments. Theefficacy of the program discussed in this paper is based on teaching at the undergraduate/graduate(formal) and K-12 (informal) levels. It may be pointed out that no formal education research wasconducted to generate the Table 1. Thus, the data provided here is qualitative and is based on theassessment of instructors, parents and other professional observers (one of the observers had a doctoratein education). Table 1 Learning level (Basic, Intermediate, Advance), underlying STEMS areas (S, T, E, M), expected impact (Low,Normal, High), learner interest (Low, Normal, High), possible audience types (Families
) A respect for diversity and a knowledge of contemporary professional, societal and global Outcome 10 issues (ABET 2.j ) Outcome 11 A commitment to quality, timeliness and continuous improvement (ABET 2.k) The application of circuit analysis and design, computer programming, associated software, Outcome 12 analog and digital electronics, and microcomputers to the building, testing, operation and maintenance of electrical/electronic(s) systems. (ABET 8.a) The application of physics or chemistry to electrical/electronic(s) circuits in a rigorous Outcome 13 mathematical environment at or above the level of algebra and trigonometry. (ABET 8.b
1 A c tiv a t io n L e v e l, tf 0 .5 0 0 2 4 6 8 10 12 14 16 18 20 22 0 .1 P o s itio n x ( m ) 0 .0 5
Academe and Industry - Where Is the Disconnect? Dr. William R. Peterson Assistant Professor Department of Technology Management College of Technology and Innovation Arizona State University Technology Center 6075 S. WMS Campus Loop W Mesa, AZ 85212 480-727-1582 (office) 480-727-1684 (fax) AbstractIndustry still reports that the new engineering
articulate their assumptions regarding the purpose(s)of engineering education, the role of sustainability in the engineering curriculum, and therelationship between sustainability and the “ethics” and “environmental awareness” criteriaposed by the engineers’ accreditation agency (ABET 2005). Specifically, electronic dialogicjournals will be created that allow select engineering faculty to share their pedagogical ideology,to explore the relationship between the technological content that they teach and the objectivesand outcomes required by ABET, and to articulate the methods and goals they have for shapingour students’ philosophical perspectives as regards sustainability.Word count: 199
. 49,806-812.2. Lightfoot, E.N. and Moscariello, J.S. (2004). Bioseparations. Biotechnology and Bioengineering 87, 260.3. Bonnerjea, J., Oh, S., Hoare, M., and Dunnill, P. (1986). Protein purification: the right step at the right time.Bio/technology 4, 954.4. Ward, W.W., Swiatek, G.C., and Gonzalez, D.G. (2000). Green fluorescent protein in biotechnology education.Methods Enzymol. 305, 672-680.5. Bes, M.T., Sancho, J., Peleaot, M.L., Medina, M., Gomez-Moreno, C., and Fillat, M.F. (2003). Purification ofcolored photosynthetic proteins for understanding protein isolation principles. Biochem. Mol. Biol. Educ. 31, 119-122.6. Sommer, C.A., Silva, F.H., and Novo, M.R.M. (2004). Teaching molecular biology to undergraduate biologystudents. Biochem. Mol
all students will attend class on the day the course surveysare administered; however, we are considering web-based alternatives to attempt to get 100%.All measurements are normalized to the range 1 - 5, with five meaning “good” and one meaning“poor”. These are then aggregated and are entered into the Assessment Results spreadsheet. Aportion of the spreadsheet for fall 2006 is shown below. Ave % 5's % 4's % 3's % 2's % 1's 5's 4's 3's 2's 1's Comments Page 13.1411.6 B.1.a 3.5 23.5 17.6 47.1 11.8 0.0 4 3 8 2 0 Req - SE 4330 Assess B.1.b 4.6 56.3 43.8
increasingly used as a safety management tool in the nuclear power industry through the 1980’s and 90’s. This capability is of central importance in the domestic nuclear power industry in the new century. PRA provides answers to four important questions: (i) What can go wrong? (ii) How likely is it? (iii) What are the consequences? and (iv) How do uncertainties impact the above answers? There are three levels of PRA analysis in the commercial nuclear power industry: Level 1, Level 2, and Level 3. Level 1 consists of an analysis of plant design and operation focused on the accident sequences that could lead to a core damaging event, their basic causes and their frequencies. Key figure of merit is the Core Damage
someone make such aninvestment? What are the motivating factors? Of course, there are the enticements of highsalaries and prestige. But with lower percentages of American students currently choosingscience and engineering than in other major nations of the world, maybe it‟s time to rethink theadequacy of such motivations. A recent New York Times editorial by Columbia Universityphysicist and Author, Brian Greene, strongly advocates teaching science in a way that includesits dramatic implications for worldview. He emphasized “the powerful role science can play ingiving life context and meaning”. He suggested that instead of just focusing on the technicaldetails, “science needs to be taught to the young and communicated to the mature in a mannerthat
AC 2008-499: INTEGRATING APPLICATIONS IN THE TEACHING OFFUNDAMENTAL CONCEPTSPatricia Campbell, Campbell-Kibler Associates, Inc Patricia B. Campbell, President of Campbell-Kibler Associates, Inc, has been involved in educational research and evaluation with a focus on science, technology, engineering and mathematics (STEM) education and issues of race/ethnicity, gender and disability since the mid 1970's. Dr. Campbell, formerly a professor of research, measurement and statistics at Georgia State University, has authored more than 100 publications.Eann Patterson, Michigan State University Eann Patterson taught Mechanics of Solids for twenty years at the University of Sheffield
this paper clearly indicate the learning opportunities provided to the students at MUSE. Thestudents also participate in the multidisciplinary senior design projects in their final year. Theeffective use of theory classes, design and manufacturing lab facilities, multidisciplinary seniordesign projects, and co-op opportunities provide the students the needed expertise and preparethem well to meet the challenges in the industrial workplace.References[1] Davis, D. C., Gentili, K. L., Trevisa, M. S., and Calkins, D. E., “Engineering Design Assessment Processes and Scoring Scales for Program Improvement and Accountability,” Journal of Engineering Education, Vol. 91 (No. 2), 2002, pp. 211-221.[2] Dym, C. L., Sheppard, S. D., and
this paper clearly indicate the learning opportunities provided to the students at MUSE. Thestudents also participate in the multidisciplinary senior design projects in their final year. Theeffective use of theory classes, design and manufacturing lab facilities, multidisciplinary seniordesign projects, and co-op opportunities provide the students the needed expertise and preparethem well to meet the challenges in the industrial workplace.References[1] Davis, D. C., Gentili, K. L., Trevisa, M. S., and Calkins, D. E., “Engineering Design Assessment Processes and Scoring Scales for Program Improvement and Accountability,” Journal of Engineering Education, Vol. 91 (No. 2), 2002, pp. 211-221.[2] Dym, C. L., Sheppard, S. D., and
this paper clearly indicate the learning opportunities provided to the students at MUSE. Thestudents also participate in the multidisciplinary senior design projects in their final year. Theeffective use of theory classes, design and manufacturing lab facilities, multidisciplinary seniordesign projects, and co-op opportunities provide the students the needed expertise and preparethem well to meet the challenges in the industrial workplace.References[1] Davis, D. C., Gentili, K. L., Trevisa, M. S., and Calkins, D. E., “Engineering Design Assessment Processes and Scoring Scales for Program Improvement and Accountability,” Journal of Engineering Education, Vol. 91 (No. 2), 2002, pp. 211-221.[2] Dym, C. L., Sheppard, S. D., and
3 3 -S U MAc ? 0 : / MAc / Ä L - 2 L Õ © PL ? 0 MAc ? / 5PL MAc ? 5PL S Å 3 Ö 2 EI 6 EI 6 EIBy rules 9 and 10 in Section II, the slope sA and the deflection yA at the free end A of the actual cbeam in Fig. 3 are, respectively, given by the “shearing force” VA and the “bending moment” cM A at the fixed end A of the conjugate beam in Fig. 4. We write PL2 3 sA ? VA c ? Acy ? yA ? MAc ? / 5PL 2 EI
different operation platforms work together as aswarming group; the organization and function of a swarming team is just like bees or ants. Theindividual intelligent robot can run in either autonomous mode or cooperative mode. Normally, there isone or more ground station(s) to coordinate and initiate the swarming team. The path planning andobstacle avoidance will become a part of formatted cooperative team work. The communication between the ground station(s) and individual intelligent robots has beendeveloped in a systematic manner in the past decade. However, there is no convinced and reliablephysical communication means between individual robots available. And the fact of that there isn’t anymethodology of information exchanging between
different operation platforms work together as aswarming group; the organization and function of a swarming team is just like bees or ants. Theindividual intelligent robot can run in either autonomous mode or cooperative mode. Normally, there isone or more ground station(s) to coordinate and initiate the swarming team. The path planning andobstacle avoidance will become a part of formatted cooperative team work. The communication between the ground station(s) and individual intelligent robots has beendeveloped in a systematic manner in the past decade. However, there is no convinced and reliablephysical communication means between individual robots available. And the fact of that there isn’t anymethodology of information exchanging between
different operation platforms work together as aswarming group; the organization and function of a swarming team is just like bees or ants. Theindividual intelligent robot can run in either autonomous mode or cooperative mode. Normally, there isone or more ground station(s) to coordinate and initiate the swarming team. The path planning andobstacle avoidance will become a part of formatted cooperative team work. The communication between the ground station(s) and individual intelligent robots has beendeveloped in a systematic manner in the past decade. However, there is no convinced and reliablephysical communication means between individual robots available. And the fact of that there isn’t anymethodology of information exchanging between
- questionnaires.TABLE 1: Multiple–choice results collected from questionnaires given before theworkshop. The results indicate the percent value for each answer.1. A car is moving along a horizontal highway in astraight line at a constant rate of 25 m/s. Itsacceleration is 47 [A][A] 9.8 m/s2 0 [B][B] 9.8 m/s. 41 [C] – correct answer[C] zero. 12 [D][D] 25 m/s.2. A ball is thrown straight upward. What is theacceleration of the ball at the highest point?[A] zero 53 [A][B] 9.8 m/s2 , upward 12 [B][C] 9.8 m/s2, downward
-basedapplication. Using Clearsighted, Inc.’s tools, an ITS was constructed that required nomodification to the original authoring tool. The resulting ITS provides immediate feedback in atutorial setting, offering help when requested and adaptive just-in-time messages, as well asnoting incorrect actions. All of this feedback, from the user’s point of view, seemingly comesfrom the authoring tool. A series of tutorials have been developed that will provide guidance tonew users as they develop online homework assignments. Evaluation of the system is done bycomparing authoring tasks performed by groups who learned to author without using theintegrated system to groups performing the same tasks with the ITS.IntroductionMost activities related to engineering
students and faculty in a variety ofscience and engineering fields. The paper focuses on engineering at colleges and universitiesbecause of the role which these institutions have in inspiring both women and men to chooseengineering as a field, and their potential to change the composition and size of the futureworkforce. Findings include that for fields dominated by men in the 1960s 1) those fields withthe highest (or lowest) proportions of women students in the 60’s still have the highest (orlowest) proportions of women students today, and 2) the proportion of women students is highlycorrelated with the proportion of women faculty in a field. This may suggest that increasing thenumber of women faculty may be a strategy for more rapidly attracting
StudyFigure 1 depicts a schematic of the simulated system. An object with mass, m, is locatedon a flat surface. One edge of the surface is lifted up to form an angle, α, with the ground.The static friction coefficient, µ s, is given. The purpose of this test is to determine theangle of inclination when the object starts the motion by using a digital simulation tool. m = 100 kg µ s = 0.6 Fw = mg α Figure 1. Object on inclined surfaceLMS.Imagine.Lab 7b is used to simulate the system6. In the mechanical library thereexists a component called “linear mass with 2 ports and friction”. The user
clustering result for the rest of the round. (see Figure1)Figure1. Cluster organization for sensor networks2.1 LEACH Protocol Routing in LEACH works in rounds and each round divides into two phases, the Setup phase and theSteady State; each sensor know when each round starts using synchronized clock. Initially, each sensor decides if it will be a CH or not based desired percentage of the CHs for thenetwork and the number of times the sensor has been a CH (to control the energy consumption), thisdecision is made by the sensor s choosing a random number between Zero and One. Then it calculates thethreshold for s T(s), then compare the random number with result T(s); if the number is less than T(s), sbecomes CH for the current round. T(s) for x
calibration, bridge design and evaluation, and reliability of bridge structures. Page 13.1032.1© American Society for Engineering Education, 2008 Reliability of Bridges: Significant Addition to Civil Engineering CurriculumAbstractRapid highway system development in the United States in the 1960’s and 1970’s has resulted ina large number of bridges reaching a stage in need of repair, rehabilitation, or replacement.Truck loads have also been steadily increasing since then. This has made the situation evenworse. Many developed countries are currently experiencing a problem of aging
m =0 m yk +m , where xm is a sample of the transmittedsignal and yk+m is a sample of the return signal, 0 ≤ k ≤ N – 1, and N is the number of samples ineach sequence.Programming ConsiderationsThe program consists of a main form with three plots. User controls allow changes in thefollowing parameters: the number of cycles, amplitude, and frequency of the transmitted pulse;the delay of the received signal; and the type and amplitude of the noise. Additional controlsallow the user to have the program generate a new noise sample or display a histogram of thenoise in a pop-up window. The S/N ratio in the simulated signal plus noise is also displayed.The topmost plot displays the transmitted
, v 4, 1988, p 194-2045. Runyoro J, Boutorabi S, Campbell J., AFS Transactions, v 100, 1992, p 225-2346. Cuesta R, Delgado A, Maroto J, Mozo D, Proc. World Foundry Congress 2006, 4-7 June, Harrogate, UK, paper n. 867. Berry J, Luck R, Felicelli S, Liquid Metal Damage Before and After Pouring – Some Recent Observations, Seminar on High Quality Castings, 27-Mar-2007, Valladolid, Spain8. Poola S, Felicelli S, Legget S, Berry JT, A re-examination of factors affecting porosity gradients in unidirectionally solidified samples, to be presented at 112th Metalcasting Congress, Atlanta, GA, 17-20 May 20089. Felicelli S D, Heinrich J C, Poirier D R: Numerical model for dendritic solidification of binary alloys, Numer
Technology, Engineering Technology, Electronics, as well as Drafting andDesign, attend each Forum. Each participant is responsible for his or her own travel. The mostrecent ET Forum was held March 6-7, 2008 at Pensacola Junior College (PJC), which servesEscambia and Santa Rosa Counties in the state’s panhandle. The fall 2008 Forum will be hostedby Seminole Community College in Central Florida. For more information on the ET Forumsvisit: www.fl-ate.org/partners/et_forum.htm Meetings of the Florida Engineering Technology Forum 1 S 1996 University of Central Florida 2 S 1997 Seminole Community College 3 F 1997 Gulf Coast Community College 4 S 1998