, the process involved the following steps: 1) Define Goals: Broad objectives of the session were specified. 2) Collect Ideas: During this phase, the participants were asked to come up with ideas while deferring judgment. 3) Group Ideas: Ideas were grouped according to the objectives that they addressed. 4) Rank Ideas: Participants were asked to review and rank ideas according to perceived value and to vote for the best ideas in each topic area.Ideas addressing the future of manufacturing education generated from this process aresummarized and categorized in the following sections of this paper.MethodsSessions at the SME/CIRP international conference in San Luis Obispo were designed topromote discussion and idea-generation
key part in industrial engineering student knowledgeof manufacturing and the percentage of students completing internships and co-ops inmanufacturing. Data was collected across two campuses within the same U.S. University whereboth campuses offer B.S. degrees in Industrial Engineering. The enrollment at the two campusesand manufacturing footprint around the two campuses are significantly different and this isdiscussed with the results of the survey data.IntroductionThe Society of Manufacturing Engineers reports that a “Silver Tsunami” is occurring inmanufacturing as baby boomers continue to retire [1]. It is of utmost importance to attractMillennials and Generation Z to work in the manufacturing sector of the U.S. Economy. TheUnited States
and understand basic manufacturing topics in the classroom.1 For this reason, it is essential for ME undergraduates to understand how parts and components are manufactured, with the goal of developing better engineers and designers. With the incorporation of several open-‐ended design challenges and hands-‐on projects throughout Field Session, specifically related to manufacturing topics, students begin to learn the following concepts early on in the undergraduate curriculum: 1) proper dimensioning and tolerancing, 2) manufacturing tolerances, 3) material selection 4) automated manufacturing techniques, 5) manual manufacturing techniques, 6) CAD-‐CAM
iscritical to the nation’s economy. However, the industry faces increasing difficulty finding skilledworkers to fulfill their workforce needs. It is estimated that within the next decade there will be3.5 million available manufacturing jobs and of those, at least 2 million will go unfilled [1].Currently, up to 89% of manufacturers cannot find skilled workers to fill open job positions [2].One potential cause of this skills gap is thought to be the poor perceptions of manufacturingcareers held by the general public. A Deloitte study showed that while a majority of American’shave positive perceptions about the future workforce in manufacturing, less than 50% believemanufacturing to be a rewarding career and one-third would not encourage their children
item in the scale and across the different scaling levelsof quality with 19 survey samples. These results allow for the examination of how programparticipants perceived the delivery of all the workshop sessions in general. It was clearly observedthat for most of all the evaluative items, the participants overwhelmingly rated the presentationsas “essential” or “helpful”.Table 1. Survey Result: Percentage of participants’ responses to individual items for all workshop presentations andstudent robotic competition session. Essential Marginal Needed Helpful
policies that can increase the U.S.electric generation share to 25 percent renewable content by 2025, would stimulate enoughdemand for the component parts needed to make wind turbines, solar panels and other cleanenergy technologies to create 850,000 jobs in existing U.S. manufacturing firms across thecountry.Due to the aforementioned needs in knowledge and skill relevant to Green EnergyManufacturing (GEM), the authors have developed the leadership workshop series to supportminority engineering students through the Systems Engineering (SE) Day (see Figure 1) atUniversity of Texas at El Paso (UTEP) in Spring, 2013. On April 25, and 26, 2013, the generaland technical leadership workshop series (see Figure 2) has been carried over. Information of
vocational education as a Master Teacher in the Plastics Technology program at Minuteman Regional Technical High School. He is also an adjunct professor for the Plastics Engineering Program at the University of Massachusetts, Lowell. He has been a consultant to Ford Motor Company, Polaroid Inc., Timken Aerospace, and SMITHS Industries. He was also a guest scientist at the Army Materials Research in the Composite Development Division. He continues to co-teach Technology Studies courses with the technology faculty at Keene State College. He has published numerous articles over the years in engineering technology and materials research. He is a consultant on the Virtual Ideation Platform (VIP) project for Central Maine
programming support [2].Billard describes a common method for programming of robots—Robot Programming byDemonstration, also known as imitation learning [3]. Nicolescu and Mataric discuss naturalmethods for robot programming, including instructive demonstrations, generalization overmultiple demonstrations and practice trials [4].In the area of industrial robots, Pan et al. provide a comprehensive review of the recent researchon programming methods for industrial robots, including online programming, offlineprogramming, and programming using Augmented Reality (AR) [5]. Wang et al. propose anoptimized path planning method for off-line programming of an industrial robot [6]. Sang Choiet al. present a lead-through method and device for industrial robots
doundergraduate students use engineering judgment and draw conclusions from their experimentallabs and design projects?2. Literature Survey2.1 Definition of engineering judgementMultiple definitions exist for the term, “engineering judgment”, and those definitions are variedby their rhetorical situations and contexts. We found four sources to define engineeringjudgement and they are summarized in Table 1.Table 1. Definitions of engineering judgement Author Definition Context Yasseri [7] Engineering judgment is the glue which binds the In a technical journal best available evidence. Evidence could be research paper in the subsea based, empirical, peer
some of the standard applicable testing methods for testing the mechanical andsurface properties of additively manufactured test samples in universities. In the presented model,students use polymer or metal 3D printers to manufacture their test samples for tensile, impact andhardness test equipment to measure the mechanical properties of the printed materials. They alsomeasure and compare the surface properties such as surface roughness, metallography andmicrostructure, and resistance against wear, abrasion, and corrosion. The presented model isintended to provide students with a general idea about the usefulness of AM materials and theprobable differences between them and conventional materials. The model can be developed as anew course or be
presentation indicated that this workshop sessionwas well organized (M = 4.14, SD = 0.83) and the overall rating for this session was very good (M = 4.41,SD = 0.62). Of interest, the respondents evaluated this presenter a bit low (M = 3.93, SD = 1.11) on theissue of such workshop presentation having effectively addressed the conference goals and objectives.Table 6 provides a general description of the selected 5 items and subscale totals describe the participant’srating on the presenters’ ability to deliver the content of their presentations well. The participants’ (n =23)performance on the pre-test knowledge test yielded an average score of 57 while the average score for thepost-test performance was 62 in a scale of 1 to 100. The comparison between
the course learning objective self-assessment questions forthis short course is shown in Tables 1 and 2. Student responses from “5” being extremelywell and “1” being not at all.The results of the students’ assessment show that for all the questions, students generally feellike virtual learning is a good experience, and are interested in distance education. Theassignments and performance of the students over summer camp show the same positiveanswers.The instructor also performed an assessment of student performance in the course as part ofthe process of evaluating program objectives (POs) and outcomes. A summary report onstudent performance (to achieve program objectives) and compliance with program outcomesare prepared and submitted to the
fairly good practical knowledge on the basics of materials and machining whichthey learnt through “Learning by doing” approach [1], Project based learning PBL seemed to bethe most appropriate methodology to adapt for this course since the focus is on the application aswell as the integration of previously acquired knowledge.2. Literature ReviewAs an integral part of a global society, engineers today are expected to master a combination ofdisparate capabilities, not only technical competencies concerning problem solving and theproduction and innovation of technology, but also interdisciplinary skills of cooperation,communication, project management and life-long learning abilities in diverse social, culturaland globalized settings. Thus, in
pollutants.[1]. This project investigated the feasibility of total or partial replacement of the frictional braking systemin an automobile with a contactless electromagnetic braking system. The investigative efforts are “proof-of-concept” type. The student-led team designed and built a prototype for a frictionless electromagneticbraking system by installing computer-controlled electromagnets inside a typical drum brake assembly.When the drum rotates and passes through the magnetic field generated by the electromagnets, a Lorentzforce is induced that opposes the rotation of the drum. The electromagnetic brake was compared againststandards for modern vehicle braking performance to determine the feasibility of the frictionless brake’sperformance
in the last three categories (i.e., M, DS, and E)was statistically significant.1. BackgroundEngineers working in design and manufacturing fields often confront challenges not because of alack of technical ability, but rather due to a lack of professional skills. One such important skill ismetacognitive understanding of their own and their team's problem-solving abilities.Metacognition is the process of “thinking about thinking” such that individuals learn methods tounderstand the way that they learn, what they are lacking in their current learning strategies, andhow to improve. Metacognition includes monitoring and control activities and it is a pre-requisiteto any problem solving because it affects critical thinking, creativity, and
through conventionalmanufacturing methods [1]. Large companies such as General Electric, Boeing, Caterpillar, JohnDeere, Adidas, BMW, Porsche, and all the armed forces, are spending millions, and even,billions of dollars on AM. According to a recent study, the true global impact of AM will besimilar to that of the Internet, once AM becomes more accessible to everyone [2].The medical field is one of the fastest growing application areas of AM and the technology isalready in use in the production of equipment, tools, and accessories [3]. Either as a better way tomanufacture or enabling patient-specific devices, AM has distinct advantages in medicine. Theuse of AM in healthcare applications has attracted considerable interests over the past decade
minorities tended to recommend socialchange in makerspaces, while men of all ethnicities tended to recommend equipment andtechnology changes. The implications of this study are to establish student makerspacerecommendations in order to create more inclusive and welcoming environments in makerspacesand other engineering spaces.IntroductionMakerspaces are generally thought of as accessible spaces with the tools that makers need to build,tinker, and collaborate with others [1]. These spaces have become quite popular in conjunctionwith engineering programs at academic institutions through recent years [2]. Due to theirpopularity, engineering education researchers have sought to understand best practices and culturalnorms for these spaces, the effects of
performance computing are driving the manufacturingindustry to optimize productivity, product quality, and business feedback [ 1 ]. Two vitalcompetences for cybermanufacturing are digital manufacturing plus data analytics. The success ofthe companies’ implementation of cybermanufacturing systems vitally depend on the ability ofemployees to act in the context of IIoT, specifically the skills of integrating sensing and control,data analytics with digital manufacturing operations [2, 3]. In response to industries urgent needs,Digital Manufacturing and Design Innovation Institute (DMDII) has released the “DigitalWorkforce Succession in Manufacturing” report in 2017 [2]. This report describes the job profilesfor next generation of manufacturing through
conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusionsTable 1. ABET student outcomes for the 2019-2020 accreditation cycleReferences[1] Jessop, J.L. (2002). Expanding our students’ brainpower: Idea generation and criticalthinking skills. IEEE Antennas and Propagation Magazine. 44(6), 140-144.[2] Tran, M. (2013). Critical Thinking for Engineers, Electrical and Computer EngineeringDesign Handbook, https://sites.tufts.edu/eeseniordesignhandbook/2013[3] Qiao, C. (2009). Science Education and Fostering Critical Thinking in China. In 2ndInternational Conference on Education Technology and Training (ETT’09), 114-117.[4] Webster’s Third New International Dictionary of the English Language
associated to the prototype and the entire projectAssessment and Student Outcomes:Oral presentations and written reports during the senior capstone course series are evaluated bydepartment faculty and qualified external engineering professionals according to the Likert-type scale.External assessors are from regional industry located in the Greater Philadelphia area and generally serveas members of Industry Advisory Committee for the Engineering Technology program. Each assessorassigns a value for Performance Indicators according to a Likert-type scale for each ABET 1-5 studentoutcome. Engineering Technology program recently adopted new ABET 1-5 outcomes, therefore trenddata is provided in these newly adopted student outcomes. The scale (rubric
-aided design (CAD) package to engage inadvanced design-manufacturing analysis which is valued in industry.Introduction and Background Instructors are always trying to find a passionate way to teach their courses to supportstudent’s success efficiently and effectively. Also, the continuous increase in the needs for newtechnical and nontechnical skills in the modern work environment represents another pressurefactor on the universities to update student's learning outcomes to meet the demand of thecontemporary industry and business to up-to-date qualified workers. Thus, teaching style needs tobe updated continuously to reflect the direct and indirect changes in the learning and workenvironment. In general, during the past decades, education
program. Also, she introduced the first experiential activity for Applied Mechanics courses. She is coordinator and advisor for capstone projects for Engineering Technology.Dr. Yalcin Ertekin, Drexel University Dr. Ertekin received his BS degree in mechanical engineering from Istanbul Technical University. He received MS degree in Production Management from Istanbul University. After working for Chrysler Truck Manufacturing Company in Turkey as a project engineer, he received dual MS degrees in engi- neering management and mechanical engineering from Missouri University of Science and Technology (MS&T), formerly the University of Missouri-Rolla. He worked for Toyota Motor Corporation as a qual- ity assurance
of a C+ average, are U.S.Citizens or permanent residents, and Virginia residents. Students can attend only once and haveto be transported to the university by a family member or a legal guardian. Students stay on-campus from Sunday evening to Wednesday morning, sleep in dorms, eat in the dining halls,attend classes and work in the labs; in essence, they get to experience life as an on-campusundergraduate student. At the university BLAST sessions, there are two major workshopsessions and one special evening event that embeds the use of autonomous robotics ininstruction: 1) Satellites, Lasers, and Drones; 2) Robots in Hazardous Environments; and 3) It’s aBird, It’s a Plane, It’s a Drone.Satellites, Lasers, and Drones. This activity is led by
, cultural, social, environmental, and economic factors” and (6) “anability to develop and conduct appropriate experimentation, analyze and interpret data, and useengineering judgment to draw conclusions”. The senior design project can serve as an excellentculminating experience in the program of study when it focuses on research and design projectsthat have practical value to consumers or to industry. For the Engineering Technology Departmentat Drexel University, the senior design course is a year-long educational journey (three quarters)that takes an idea generated by a student or an industrial sponsor and culminates in a product orproject. This course is an excellent capstone experience, which requires both teamwork andindividual skills in
Assessment Local Real-world Problems Project Repository Industry Virtual Company Figure 1: The EXPLORES learning environment. The purpose of using a virtual company is to give students a more realistic feeling of thepracticality of their projects. The company was named STAR Corp. Technical Center. It has twodepartments; namely, Manufacturing (corresponding to the Manufacturing Processes course) andQuality Assurance (corresponding to the Engineering Statistical Methods course). There are threetypes of users, summarized as follows: Engineers. They are students who will be working on
program with a trade-off approach for optimizing the TDR; in other words, re-programming the speed rate and pathtermination as motion program variables for an effective RTR. This research work presents an empiricalapproach that analyzing the TDR variables depending on measuring the response features of RTR. Full-factorial design of experimentation has been applied for operating FANUC Robot LR-Mate 200iB andcollecting the data. Results analysis of variables effect validates the applicability of the empiricalapproach.1. IntroductionThe gap between technical capability and practical application of robotics utilization increasedconstantly within last years, especially regarding small and medium-sized enterprises. Otherwise, thereis a recognizable
Paper ID #34295Developing and Teaching Modular RobotsDr. Arif Sirinterlikci, Robert Morris University Arif Sirinterlikci is a University Professor of Industrial and Manufacturing Engineering at Robert Morris University (RMU). He also serves as the Senior Director of the RMU Outreach and Innovation Center. He holds BS and MS degrees, both in Mechanical Engineering from Istanbul Technical University in Turkey and his Ph.D. is in Industrial and Systems Engineering from the Ohio State University. He is also a Certified Manufacturing Engineer (CMfgE). He has been actively involved in ASEE and SME organizations and conducted
environment in which both design and precision machining students work in concurrent or ”virtual” product design and development. Prior to serving as Dean, Dostie was Tech Prep Director at the College for seven years, responsible for improving access to technical education through partnerships with applied technology centers and high schools. In both positions, she has developed and maintained an extensive training and education network. Before joining the staff of the college, she was a classroom teacher for 10 years. Dostie received a bachelor’s of science in industrial arts education in 1980 and a master’s of science in educational leadership in 1997. In 1999, she received the Androscoggin County Chamber of Commerce
TSE workshop Page 26.167.2participants observed industry professionals using the workshop techniques.Table 1. Agenda for Emerging Technologies and Technicians Workshop Wednesday, January 8, 2014 1:00 PM Welcome: CCET, SPC & FLATE 1:15 PM DFLC Sponsor & Lifecycle Overview 1:45 PM Lab & Hands-On Activities Orientation 2:30 – 5:00 Emerging Technologies & Technician PM Hands-On Project (sessions 1-2) 4:30 – 5:30 Optional: Fab Lab Mentoring & NGM PM Enterprise & Technician Models Thursday, January 9, 2014 8:00 AM Tour of TSE Industry 10:00 AM Break 10:15 AM Emerging
project eveninteresting to come up with new ideas other than what is given to them. Students are grouped into4 teams and were given the general steps to proceed with the project. This included the windturbine blade measurements. The groups were encouraged to improvise on the Wind turbine 3design. By giving the students the design freedom, we were hoping to see innovative ideas fromthe groups. The results of this idea are provided in the report session. Students can access the drivelink to look into the 3D model designed by the professor using SOLIDWORKS. This model waspresented to the students during Week 8 to give them a view of what we were looking for in their3D design. Though this model is a very