Belonged More in this Whole Engineering Group:’ Achieving Individual Diversity,” J. Eng. Educ., vol. 96, no. 2, pp. 103–115, 2007.[5] D. M. Masters, A. S., & McNair, L. D., & Riley, “Identifying Practices of Inclusion in Maker and Hacker Spaces with Diverse Participation,” in 2018 ASEE Annual Conference & Exposition.[6] V. Wilczynski, “Academic Maker Spaces and Engineering Design,” in ASEE Annual Conference & Exposition, 2015.[7] J. Walther, N. Sochacka, and N. Kellam, “Quality in interpretive engineering education research: Reflections on an example study,” J. Eng. Educ., vol. 102, no. 4, pp. 626–659, 2013.[8] N. Kellam and A. Cirell, “Quality Considerations in Qualitative Inquiry
Tomography for the programmablecomponents. A look into the future will be covered.Presentation #5Title: Surface Characterization Methods for Modern ManufacturingAbstract: Surfaces of materials play a key role in many technologies ranging from semiconductordevices, to optical components, to medical implants, to machined metal parts. Surface featuresand characteristics determine optical properties (reflection and light scattering), adherence ofcoatings, susceptibility to contamination and corrosion, wear, friction and lubrication, sealing,thermal contact, wetting properties, and appearance. Engineering of surfaces is important in solarcells, fluidic systems, MEMS, and optics; and poor surface quality is a major limitation of manyrapid prototyping
styles that fit better with reflective and intuitivelearners. Learning about robotics and including robots in the instruction engages learners throughhands-on exercises [19]. Various researchers agree that hands-on activities can assist students torelate to the concepts that are behind the technology used in these activities [20-22]. This isespecially important in academic areas like mechanical principles where mathematical andengineering theory are connected with manual methods [23].In education, robots are used in outreach activities to motivate students to become interested inScience, Technology, Engineering, and Mathematics (STEM) starting in kindergarten [24] andelementary school [25, 26] and beyond. Some studies have shown that the use of
adhereto a manufacturing approach that is within the capabilities of the lab. Several tool catalogs werecreated to reflect the standard tooling kept in the lab’s inventory. Use of these catalogsconstrained students to the tooling available to them, and served as a more effective way ofconveying the tooling capabilities of the lab. Rather than searching for a tool in the lab, a studentis able to simply view the appropriate tool catalog in NX and CATIA, and determine if the tool isavailable. This is not to say that specialty tools cannot be used within the workflow. Rather, it issolely a means to convey the standard tooling capabilities.The real power of the workflow lies in the creation of a process catalog. A process catalog is thekey element that
Engineer was the primary contact during thisphase. After the sensors and actuators were installed and functioning correctly, studentswrote a simple program to check gripper function at the pick-up point. A few smalladjustments had to be made to the gripper design at this time to allow for compatibility withthe feeder equipment. The changes are reflected in the drawings included in Appendix A.The accuracy of the points taught was crucial at this step to ensure the proximity sensorwould be close enough to find the screws. The sensor does not sense metal until it is 0.8mmfrom it, so the error margin during this segment of the program is almost nonexistent
-prepared keyblank is used to make a copy of the key for the target lock. This key reflects the lock’s bitting.The blank is placed in the lock, torque is applied, and the key is moved up and down againstthe pins; any pin at the improper height will be bound against the sides of the lock body andcylinder. This binding friction slightly marks the pins on the blank. The key is then removedfrom the lock, inspected for marks, and cut with a file where they are found. Cuts are madeone bit-depth at a time, and the process is repeated. This can be done for all pins in the lock atonce under normal circumstances. If the attack is successful, the attacker will end up with aworking key. The only caveat is that the attacker must apply the proper torque and
of the student is not important, or as important as starting from the knownand then cater in a more personalized way to foster growth and confidence. Comfort zoneis personal; the activities will help the student break out of that comfort zone throughself-pacing and guidance directed at his learning style or skill level. Failure isencouraged; unlike the traditional exam-based schooling methodology that penalizesmistakes, in Maker culture failure is not only expected, it is fostered and encouraged,given that through mistakes, failure and perseverance, students are able to prototype,practice and master the acquired skills. At the same time the student is able to achievethrough self-reflection and perseverance the first three levels of Bloom’s
leads from the rest of the system. Much of this work was completed by my partner for the project, and fellow project manager for the second phase of the project, Ross Buttrum. The tasks required of the EET group overall were reflective of the necessary skills of both phases of the project. In this case it involved going through a selection process to properly choose and implement an electrical system in a 3-D printer that was comparable to a printer currently in the ET building of IUPUI. Secondarily our managerial responsibilities became more stringent in the second phase of the project because there was a new group of MET students inheriting the project, as the MET degree only
, twice the value of the ambientair. The soil temperatures do not reflect any influence by the system as the temperature neverdropped below 60°F on this Spring Day. The few dips in temperature were purely for testingpurposes to see if the unit was functioning as designed. These data points have allowed us toconclusively evaluate the overall collector system efficiencies in the following graph in Figure 6. Figure 5: Solar temperature data Figure 6: Collector system efficiencyStudent Learning Experience for Green Energy ManufacturingFor the past years, the focus has shifted towards incorporating renewable energy manufacturingtopics in the senior design project course. In the first senior
Traditional path t102 Sig. Mean Mean (2-tailed) (SD) (SD)Engr. Self-Efficacy 0-6 4.43 5.00 3.16 .002Design confidence 0-100 56.38 72.69 2.19 .044Expect. of success 0-100 60.03 75.30 2.12 .049 Table 1: students’ differences reflected in pre-surveyThe post-survey was conducted at the end of the semester. Datasets from 49 students wereinvolved in the pre- and post-surveys analyses and 89.4% of them were males. There were nosignificant differences between the students who finished the post-survey and
ParametersBased on frequencies of features (1) Sds - Density of Summits, (2) Str- Texture aspect ratio (3) Sal – Fastest decay autocorrelation length (4) Std – Texture direction of surfaceHybrid ParametersBased on a combination of frequency and height (1) SDq – Root Mean Square Surface Slope (2) Ssc – Mean summit Curvature (3) Sdr – Developed Surface Area RatioFunctional ParametersBased on applicability for particular functions (1) Sbi – Surface Bearing Index (2) Sci – Core Fluid retention Index (3) Svi – Valley Fluid Retention IndexTypical applications for various 3D parameters are shown in figure 22. Figure 22. Shaft Radial Lip Seal [12].Results and DiscussionThe following case studies reflect the very
time frames between ninety minutes5, 10-12 and one day1, 13.Regardless of the time frame, all authors cited here employ repetition as a tool to highlight thedifference between non-Lean production and Lean production. The shorter time frames allowfor just two or three rounds to be used as a basis of comparison. For example, the exercisedescribed by Billington6 uses three rounds (push, pull with lot size = 3, pull with single-pieceflow) to demonstrate to students how Lean can reduce work-in-process (WIP). An advantage formultiple sessions, though, is that it provides the students with time to reflect on the events of aprevious exercise and plan for the next. The added time permits a less-structured exercise, asstudents are able to develop their
student internships 6 part-time, employed students 5 adjunct faculty 5 collaborative research 5 sponsored research 4 faculty internships 0 Figure 5: Methods of Connecting with Industry (7 reporting) While the survey respondents cannot be construed as a statistically valid reflection of theentire population of graduate manufacturing programs, it is felt that a moderately representativeview has been obtained. At the least, certain
”, which would accommodate a 1N4001 diode lead, but was slightly oversizedfor most chip carriers and component leads. The oversized holes made component insertioneasy, but the soldering process more difficult due to the larger voids around most components.The ability to avoid the data-isolation and file-translation steps, while gaining the ability to drillholes of various diameters in a single step using the laser seemed worth investigating. Althougha CO2 laser in this power range does not appear to be capable of piercing standard one-ouncecopper cladding (presumably due to its high thermal conductivity and reflectivity), it wasdiscovered experimentally that sufficient heat could be concentrated on the unclad side of thePCB to burn through the PCB
processand a final course test are taken into consideration to evaluate learners’ achievement levels.Pre/post test and the unit exercises for those in the experimental group are taken from thequestion storage. A variety of formats such as true/false, single choice, multiple choice, and shortanswer are included that reflect the content and unit objectives. The first three types of questions Page 15.7.6 required that answers be justified. 85% pass is required for each unit test in order to transfer to the following unit. The final course test is administered for both groups in a paper-and-pencil format. Web-based learning attitude scale A web-based
based on experimental data; (5) validation of the green energymanufacturing laboratory models through several student projects. We also continuously improved theexperimental activities as well as the teaching modules based also on student project evaluations. Thequestionnaire is designed to reflect the students’ understanding of the overall micro manufacturingenergy system and target the benefits of technologies for high precision engineering applications. Thehistograms in Figure 19 demonstrate the evaluation results for the questionnaire provided to thestudents. The students evaluate the following question statements on the scale from1 to 5, where 1indicates “strongly disagree” and 5 indicates “strongly agree.”1. I have grasped the green
. From the utilization of machine vision,images of the workpieces are shown on the programming software. Six different surfaceroughness pieces are discussed here. Their average surface roughness is 0.05, 0.1, 0.2, 0.4,0.8, and 1.6 micro meters. The properties and the intensity distributions of these imagehistograms are corresponding to six different surface roughness parameters. It can beseen that the histogram tends to move rightward and the standard deviation of PercentPixels increases as the average of surface roughness increases. The rougher surfaces seemto reflect more of the projected light which consequently increases the intensity levelcaptured by the machine vision camera. This can be supported by the fact that roughersurfaces contain
, when evaluators have seen all the availableSPRIAL-MC materials, they will be asked to answer a questionnaire (shown in the next section) tomake necessary improvements. After receiving feedback from evaluators, we will make necessarychanges and then re-evaluate the course materials by the beginning of June ideally with the sameevaluators and questionnaire.6 Course Evaluation QuestionnaireThis questionnaire will evaluate the course by focusing on University of Utah standard courseevaluation questions: • The course objectives were clearly stated • The course objectives were met • The course content was well organized • The course materials were helpful in meeting course objectives • Assignments and exams reflected what was
? Page 25.1134.8Results The results obtained from interviewing the company’s liaison reflected the changingdemands on employees at their facilities. A reorientation of manufacturing operations towardsmore robotic systems resulted in a marked improvement in the company’s bottom line allowingthem to exit from bankruptcy in 2005. In an effort to obtain a response from the intervieweeabout the use of robotic systems in the facility the first question was posed. The response elicitedfrom the question clarified that the machinery being used in the facility were actually robotic innature. For example, workers at the facility engage in remote level supervision for most of thehigh-volume production operations. The facility employed dedicated
understanding of business and lean manufacturing. Based upon nearly 100 intern visits to companies, bachelor degree students need four things: first-technical skills; second-lean manufacturing; third-interpersonal (communications) skills; and fourth-leadership skill to get things done (accomplish projects) with minimal supervision.”Resulting Curriculum AdjustmentsIn response to the priorities reflected in this and the referenced prior surveys several topicspreviously included in my manufacturing management, quality assurance, work measurement,and digital manufacturing courses have been eliminated or reduced in emphasis. Some havegotten increased emphasis. The reductions are largely in response to course consolidationsduring
manufacturing with the flexibility of apure fabrication process.ConclusionAlthough injection molding appears to be the lowest cost process to make the housing, it is notnecessarily the best method for the product in question. The question of market sales has yet tobe answered. Further, the agile nature of the fabrication and forming methods to making slightproduct design changes throughout the product's history might prove valuable to the companydeveloping the product. The final decision will be made after the company's team of designersand marketing representatives have reviewed the summary of the design alternatives presented inFigure 40. This team will review again the unit cost data and reflect upon the pros and cons ofeach design option to arrive
careerevolution. Every effort was made to ensure that the speaker diversity reflected that of the REUstudents, so that students could envision themselves taking the speakers’ paths. Further student-faculty interaction was provided through weekly faculty research seminars. Each week, onefaculty member presented brief vignettes of their research interests to the group, enablingstudents to learn of other imaging related research beyond their own projects. Page 23.1040.5 In addition to the program-related activities, students participated in several University-wide enrichment events. These activities included a weekly brown-bag seminar series on topics such
with heating the waterare very simple and do not distract from the real purpose of the exercise, understanding what isinvolved with analyzing the costs involved in creating the product. In the course of the project,the coffeemaker is disassembled, analyzed, and reassembled. This type of learning activity hasbeen used extensively in Engineering Curricula and has been labeled a Disassemble / Assemble /Analyze (DAA) activity.12 Within industry, a key purpose of DAA activities is to promote newand better design ideas.13This manufacturing cost analysis project can also been seen through the lens of a Kolb Cycleprocess.14 The Kolb Cycle is defined as a cycle of concrete experience, reflective observation,abstract conceptualism and active
programming background. The Shortfallgame engine will present the results of player actions in the context of real-world scenarios thatare drawn from a database. The database of scenarios will be created by graduate students and Page 13.654.11faculty, using discrete event based modeling that is based on supply chain operations. Thesescenarios will describe conditions or situations that reflect real world environmental andproduction issues faced by engineers, designers and managers. The scenarios will be presented tothe players at appropriate times and will be dependent upon the decisions that are being madewithin the game structure.Players will have
STEM outreach programs allows an institution to keep its finger on the pulse of the community and allows the institution to be agile in making programmatic/operational changes in response to feedback.The attributes that have described above are not exhaustive in nature. They reflect theexperiences and findings of the authors over two decades of outreach programs and work.Future Direction and GrowthThe STEM outreach initiative at Robert Morris University was started on a small scale with noexternal funding. It was based on existing laboratory capabilities and resources. Modest feesassessed of the workshop participants were used to defray operational expenses associated witheach event. A grant from the Claude Worthington Benedum Foundation
reflects less understanding thantalking about which first order pole is slowest.Question 2Question 2 is a bit of a philosophical one that probes the students understanding of the definitionof a transfer function. Students are given time domain expressions of the input and output of asystem and asked to find the transfer function. If students remember that a transfer function is theLaplace transform of the output divided by the Laplace transform of the input, this problemshould be fairly straight forward. Ideally, students will also remember the instructors’ preferencesthat a transfer function be given as a proper fraction with one polynomial of s in the numeratorand one polynomial in the denominator.Question 2 Problem Statement ∙ You are given a
transformed into themental model, and the author believe that virtual and physical laboratory sessions are strongeducational tools for facilitating this transformation. Moreover, those laboratory sessions alsohelp completing the optimal learning path consisting of Concrete Experience, ReflectiveObservation, Abstract Conceptualization, and Active Experimentation [14]. To cite an instance,providing the students second chance to improve their grades might set an example for reflectiveobservation, where the student might observe himself/herself based on already received grade,and reflects and improves their standing by actually improving the answers based on the finaldiscussion. It has been indicated that this scheme is supported by the students, and
reflect that they haveunderstood well all the basic ingredients of the modeling techniques and design of the renewable energysystems. They were also very pleased with the approach used to teach them. Our experience with theincorporation of renewable energy topics in the senior project design courses demonstrated that theabstract knowledge acquired by the students during their first three years of studies was put into practice.The students in these projects gained extensive knowledge of electronics and mechanical components andtheir characteristics, environmental and structural constraints, separating different aspects of the project,such as generator or converter type, its parameters and characteristics, and what are the final outputs andits
note in comparing the two surveys is the larger number willing toindicate that they saw no improvement in a particular skill as a senior over when they were ajunior. Further study is needed to determine how much of this is reflective of the skillsdevelopment in the classes versus students being more discerning in their responses afterspending a year in the program. Figure 5. Skills Survey Responses for “Manage and Act Professionally” Skills in MFGE 332The other skill categories show significantly more variability in the student responses. Again,this is not surprising since most of the skills practiced in these classes fall under the problem-solving group. However, even here there can be seen some agreement with the skills-to-outcomes mapping
done to examine how problem solving relates to metacognition as well as developing finerscales to measure metacognition in engineering students. The team collected eye tracking datafrom the virtual reality activities and future work of this study will focus on analyzing this data todetermine if students are attending to the correct elements while solving engineering problems inthe virtual environments.AcknowledgmentsThis research was supported by NSF award #1830741 and supplement #1905680 (PI: Aqlan). Anyopinions, findings, or conclusions found in this paper are those of the authors and do notnecessarily reflect the views of the sponsor.References[1] M. M. Cooper and S. Sandi-Urena, “Design and validation of an instrument to assess