AC 2009-3: THE DEVELOPMENT OF A MICRO/NANO ASSEMBLY WORK CELLVIA MICROVISUAL SENSINGDugan Um, Texas A&M University, Corpus Christi DUGAN UM achieved his Ph.D in Mechanical Engineering at the University of Wisconsin at Madison. Sensitive robotic skin for unknown environments motion planning was the subject of his dissertation. After he received his degree, he joined Caterpillar Inc. as a research engineer and worked for 4 years at Caterpillar R&D group and Research center. Currently he is at Texas A&M University, Corpus Christi delivering his 4 years of engineering experiences into classes. He is currently an assistant professor at the Department of Engineering & Technology, Mechanical
Contact with junior robot Page 13.1380.3Figure 2. Decision matrixStudents made models of three of concepts using foam core, box cutters, and glue guns during thesecond week. Digital pictures, descriptions of each model, and a decision matrix for choosing the bestconcept were submitted along with solid models of each part of their design. A Decision matrix like theone shown in Figure 2 was used to select the best design. Process plans were required for the third weekalong with a Pro/E assembly file, G-codes to produce all parts with comments that identify which codesor lines were used to manufacture each feature of the part. A process plan
and a robot.By incorporating hardware and software components developed in RBE 3001, the studentsperform experiments which involve topics such as: hardware/software partitioning; control of amobile platform; multi-sensor data fusion, motion planning, world modeling and reasoning in thepresence of uncertainty.In teaching the course, each week begins a new major topic and breaks that topic into fourcomponents that cover the system hardware requirements, hardware implementation choices,software requirements and software implementation choices. Each of these aspects of a majortopic is given (typically) a day of lecture time. This way, for each topic students see how thevarious mechanical, electrical and computer components of a system interact
technology platform ardupilot, and 2) design and build aunique payload for the drone. The course assignments involve designing and building the device(a clear engineering challenge) with the more conceptual work of planning for its integration intopro-social organizational processes (a clear peace and justice challenge). To facilitate thisexploration, we have designed the course to minimize lectures and instead use class time forconversations and collaboration. This will be done through a combination of group discussions,team exercises, and collaborative workshops.This paper, submitted as a work-in-progress, presents the current state of our coursedevelopment. We discuss our learning outcomes, describe our pedagogical approaches, andidentify areas
ABET student outcomes that are often challenging to assess for EAC andETAC accredited programs [6], [7].Given these goals for the course, the following course learning objectives were established: Atthe successful completion of this course, the student will be able to: • develop a problem statement and a requirements matrix for a relevant industry problem • perform a preliminary design analysis using appropriate computer and mathematical tools • synthesize a technical solution to design specifications utilizing tools and materials • quantitatively analyze multiple alternatives and down select to one approach • develop a Project Plan, including a Work Breakdown Structure (WBS) and Master Schedule • apply the
weeks of interaction with a team of (program name) students 400-600 hours of consulting services from the student team Innovative recommendations to an identified organizational challenge Support from (university) faculty and staff included a dedicated process expert for the duration of the project.Key Project Dates Project Start: 01/28/2015 Action Plan: 02/18/2015 Status Update: 03/25/2015 Preliminary Results: 04/22/2015 Final Presentations: 05/07/2015 Page 26.13.10Requests and Notes: Major Requirements: List requested majors Other Requests: List any other requestsAPPROVALSPrepared By
Environmental Design were hired by anEnvironmental Studies course to develop a water quality monitoring plan, and conduct additionalwater quality measurements.Students in the involved courses encountered situations that they would not have otherwiseencountered. Instructors enjoyed working together, but also faced many difficulties related tomanaging not just their own course. Deadlines not met in one course had rippling effects,requiring other courses to be flexible with their own deliverable contents and/or due dates.Although the endeavor was challenging for instructor and student alike, with some smalladjustments we recommend the model and will try it again.IntroductionThere are many challenges in engineering education, including stimulating student
Paper ID #21944Lessons Learned in the Paths of Developing a Multidisciplinary CertificateProgramProf. Hsiao-Wen Wang, National Cheng Kung University Hsiao-Wen Wang is an Associate Professor with the Department of Hydraulic and Ocean Engineering in NCKU. Her fields of expertise include river mechanics and restoration, sediment transport, ecohydraulics, water environment planning and assessment, and geomorphology. Her research interests also include innovative learning and teaching design in engineering education. She has been working on sustainability issues based on multidisciplinary collaborations, and established a new
,engineering management, and chemistry departments as well as the university’s Nanofabricationand Imaging Center. Over three years, twenty-six students have been selected for theNanotechnology Fellows Program, and their majors span seven disciplines. Table 1 provides asummary of the program participation by gender and undergraduate major.This paper reports on the program’s evolution over the course of three years as well as thepositive impacts on students’ academic and professional careers. Formative and summativeevaluation tools were developed by program evaluators in the Office of Academic Planning andAssessment and psychology department; the tools include student feedback analysis, focusgroups, and surveys. The evaluation results from the first
calculus, and additive manufacturing (AM). From the integral calculus domain, students will learn multiple ways to visualize theinventory positions and their cost consequences for inventory control. For AM, the samestudents will learn to produce physical models for these mathematical relationships via AMtechnologies. Based on these teaching and learning experiences, we plan to show that thelevel of students’ understanding of the inventory models increases with these visual andtactile aids. Ultimately, we plan to show how tactile aids produced via AM help students learn themathematical concepts of integral calculus. We also intend to demonstrate how this calculusprovides a way to characterize the variations in products manufactured via AM
unmanned aerial vehicle (UAV) used for search and rescue applications in the event of a major disaster. The platform for the UAV is a quad-rotor type helicopter, referred to as a quadrotor. A mechatronic system integration plan was developed to combine the mechanical, electronic and software elements of the research. Once the system was modelled mathematically, a control strategy was implemented to achieve stability. This was investigated by creating a MATLAB ® Simulink ® numerical model, which was used to run simulations of the system. - “Development of Automated Aerial Pesticide Sprayers” by Dheepak, et. al [3]. In this paper, the authors intend to combat the pesticide poisoning occurring
activities for capstone design course. Activity Time FrameProblem statement and initial research Late August – Early-SeptemberRequirements Elicitation SeptemberRequirements Inspection Late September – Early OctoberInitial Design and planning OctoberPrototyping and initial implementation November – Mid-DecemberDesign review Mid-DecemberProduct Implementation January – Mid-AprilWrap-up AprilFinal presentation Late AprilFollowing this timeline, students generate a large number of
policy. This pathway also is used for traditional disciplines forwhich we have expertise but not a formal degree program.The pre-approved BSE pathways are 1) Industrial and Service Systems Engineering and 2) Page 25.211.2Geospatial Engineering. The Industrial and Service Systems Engineering pathway emphasizesanalysis, design, optimization, and the planning and management of manufacturing and servicesector operations, including human factors. The courses for this pathway are from ServiceSystems Engineering, Mechanical Engineering, Business, and the Social Sciences. TheGeospatial Engineering pathway was defined to integrate a variety of
composition, disciplinary diversity seems to be associated with lower levels of improvement in individual CDTL efficacy, while gender diversity has a marginally significant positive association with improvement in CDTL efficacy. c. Finally, individuals working in teams with higher levels of intra-team learning behaviors reported higher levels of improvement.The above results are tentative as we have a fairly small sample size: 112 individuals nestedwithin 31 teams. In addition to increasing sample size, we plan to link CDTL efficacy toimportant individual and team outcomes with a view to assess the extent to which CDTLefficacy matters within multidisciplinary teams.Furthermore, a 20-item Cross
toexhibit mastery that is greater than simply knowing some computer science, electrical andmechanical engineering. Assessment of student learning therefore must go beyond measuring themastery of the various knowledge domains contributing to the discipline. Here we discuss ourcurrent assessment results, the tools we have used, and our plans for continuing assessment.There are three measures of success for any new program: 1. The number and quality of students attracted to the program, 2. The extent to which graduates are employed or admitted to graduate school, and 3. The degree to which the program achieves its educational objectives.The first measure, enrollment, is, sine qua non, the most important and straightforward. This hasalready
economy, and construction planning, scheduling, estimating, and management. Page 11.794.1© American Society for Engineering Education, 2006 Integrating TC2K into a Multi-Disciplinary Seminar Course: Finding a Hook for the “Soft” OutcomesIntroduction The Department of Engineering Technology at the University of North Carolina atCharlotte (UNCC) has developed and implemented a comprehensive program leading to anacademic environment of continuous improvement consistent with the ABET TechnologyCriteria 2000 (TC2K).1 This paper describes practical techniques currently employed toeffectively integrate a select
industry and research in robotics. Page 15.85.2Combined with the existing B.S., planned-for Ph.D., faculty hires, and externally sponsoredresearch, the M.S. in Robotics Engineering is a key component of a full-fledged roboticsinitiative.1.1. MotivationThe development of the M.S. program in Robotics Engineering was motivated by severalconsiderations. Foremost was to appeal to student interest, including B.S./M.S. Educationalinstitutions must continuously understand where student interest lies and offer relevant,academically sound programs. Currently enrolled undergraduates have expressed interest ingraduate studies in robotics. Some have already
develop and establish mentoring plans without any formal training in how to beeffective mentors. Since the start of this initiative, over 300 faculty, postdoctoral associates and graduatestudents have been trained on promising practices, strategies, and tools to enhance their research mentoringexperiences. In addition to formal mentor training, opportunities to foster a community of practice withcurrent mentors and past mentor training participants (sage mentors) were provided. During theseinteractions, promising mentoring practices were shared to benefit the mentors and the different mentoringpopulations that the EFRI-REMs serve. The community of practice connected a diverse group of institutionsand faculty to help the EFRI-REM community in its
. Minimum expectations of participation in the department include: • Active and regular participation in co-curricular initiatives (startup weekends, pitch competitions, business plan competition, hack-a-thon, etc.), • Contribution to the shared department’s scholarship, and/or, • Development and delivery of department curriculum. The distribution of faculty in the department by college at the time it was formed is shownin Table 2. All full-time faculty in the department have voting rights and they elected a chairwhose primary appointment is in the Department of Mechanical and Industrial Engineering. Inaddition to the chair, who guides curricular matters, a director, jointly appointed by the deans ofengineering and business, manages
USDepartment of Agriculture (USDA) [8] to purchase Cisco WebEx boards [9] and deploy them to 12colleges and high schools across Eastern North Carolina to facilitate distance education (Figure 1).Figure 1. Footprint of the Planned Distance Education ServiceThis new service enables a more engaging, collaborative instructional experience involving students inmultiple classrooms across Eastern North Carolina and ECU instructors. The potential positive impact of3this service is significant. The USDA grant covers the cost of the hardware and the WebEx cloud-basedservice provided by Cisco [10].Cloud-based services have been heavily marketed to give the impression that with the purchase of theendpoints and the service, the only thing needed to turn this
confident that they had chosen the correct major, will do well in their major during the currentacademic year, were comfortable approaching a faculty member, and will graduate with a degreein their major. The responses for “I am well prepared for post-graduation plans” were more evenlydistributed. One 3rd-4th year student and one 4th-graduation student chose “slightly disagree”indicating that perhaps participating in such a program during earlier academic years would haveproven helpful in determining a career path.Figure 2In the survey, students were given three prompts to reflect on their experience. A simple wordfrequency query in NVIVO 12 pro on each prompt produced the respective word clouds. The top10 most frequent words (with stemmed words
accomplish this, outreach to other educational units across campus has proven to beextremely beneficial. The planned DCI curriculum has sought contributions from a group offaculty coming from four different departments (Construction Technology, Interior Design,Landscape Architecture, and Mechanical Engineering Technology), which are located withinthree different colleges (Liberal Arts, Agriculture, and Technology) of the same institution.These faculty members have collaborated to identify existing courses within their departmentsthat could provide the expected learning outcomes related to built environment design for DCIstudents. Through this collaboration, students would be able to choose a design concentrationthey prefer: Interior Design
has a single Electrical Engineering Instructor whoadvises all groups and oversees all projects. Lectures are once per week and serve the purpose ofreinforcing the design process by introducing techniques for project management, research,design process management, prototype planning, and effective presentations and writing skills.The Computer Engineering capstone course consisted of 8 projects. Three were sponsored byindustry and a fourth was a collaborative effort between the CE capstone class and the UCSBDepartment of Ecology, Evolution and Marine Biology. Other projects were student defined.One of the industry sponsored projects was the CE contribution to the SpaceX Hyperloop Podcompetition described above. The technical focus of this team
education students receive. This background allowed thecourse committee to design a course for non-technical majors which achieves learning objectivesthrough application of technical concepts. All graduates enter into a military career ascommissioned officers and are expected to make informed decisions on topics ranging from spaceoperations to routine military installation maintenance and management. To address this widerange of occupational responsibility, the primary learning goal is for the students to be able tointegrate and advocate for sustainability principles in plans and decisions affecting the builtenvironment at the conclusion of the course. Course design worked backwards to accomplish thisgoal beginning with the summative assessment and
theentrepreneurial spirit to transform their creations into viable businesses. Therefore, we havebegun to engage young men and women in Robotics by building a university-based communityof entrepreneurial robotics students nationwide through a Robotics Innovations Competition andConference.The Robotics Innovations Competition and Conference, held Nov. 7-8, 2009, challengedstudents to design and build robots to perform useful and novel tasks through a university-levelcompetition. Entrants were judged primarily on the extent to which they met existing needs orcreated new markets, and secondarily with respect to design and analysis, implementation skill, and business plans. While robotics
Page 22.7.2the US workforce in general. Within the DoD, jobs associated with capability planning andrequirements definition, as well as much of the studies and analysis efforts that support pre-acquisition decision making, are typically not counted as part of the acquisition workforce, butthey often require individuals with STEM proficiencies. Within the STEM career fields, theDoD has singled out Systems Engineering (SE) as a critical need in order to improve the abilityto conceive , develop, sustain, modify and eventually retire its’ warfighting systems. Thosepersonnel identified as occupying critical positions (typically those in the acquisition workforce)receive training and certification on SE through a series of Defense Acquisition
been a Visiting Associate Professor at the Electrical and Computer Engineering Department, Michigan State University. From 2014 to 2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is As- sociate Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 73 articles. His research interests include artificial intelligence systems and applications, smart material applications, robotics motion, and planning. Also, He is a member of ASME, ASEE, and ASME-ABET PEV.Dr. Nebojsa I. Jaksic, Colorado State University - Pueblo NEBOJSA I. JAKSIC earned the Dipl. Ing. (M.S
accessible acrossour state and will serve as a first step toward broader dissemination of IoT-related topics inengineering curricula. This paper will present the planning, organization, and structure of theworkshop, including a report of its lessons learned, initial findings and results, with the purposeof enabling other institutions to learn from our experience.IntroductionThe ongoing 4th industrial revolution, driven by the Internet of Things, is having profoundimpacts on Wisconsin industries of all kinds, especially manufacturers. Further, the increasingability to collect and analyze large amounts of data has impacts beyond manufacturing. Giventhe critical role that the University of Wisconsin-Platteville, UW-Milwaukee, UW-Stout, andUW-Madison
(either within or outside of class). Comm5 I am involved with the GE+ program. Comm6 I interact with GE+ faculty. Page 26.816.7 Comm7 I plan to complete a degree in engineering. Comm8 I plan to complete a degree in GE+. Comm9 I am a welcome member of the GE+ community. Comm10 Experiences in GE+ have given me a positive impression of engineering. Comm11 Differences exist between GE+ students and other engineering majors.Table 3. Codes and GE+ Survey Identity Statements Used for Analysis12 Code GE+ Identity Statement ID1 I can
10 1 5 10 1 1 1 7 63.6% 4.1Teamwork & Collaboration 10 1 5 10 1 1 1 7 63.6% 4.1Aircraft Design & Requirements 10 5 10 10 1 1 1 10 8 72.7% 6.0Project Planning & Management 5 1 5 1 10 5 45.5% 4.4Systems Engineering & Critical Thinking 10 5 5 10 1 5 5 10 8 72.7% 6.4Configuration Selection & Vehicle Performance 5 1 10