numbers of designers and engineers. Manufacturingeducation is developing digital solutions to scale and meet the growing need. Massive OpenOnline Courses (MOOCs) on platforms such as edX, Coursera, and Udacity disseminateknowledge at scale to upskill the global lifelong learner, and have reached enrollments of over100 million [1]-[3]. Online programs such as MicroBachelors, MicroMasters, or the onlineMasters lead to academia-recognized credentials. Industry-driven training models are alsogrowing to meet the demand for increasing workforce competency. In addition towell-established industry online learning platforms such as ToolingU or NMTA-U, largemanufacturing technology firms such as Rockwell Automation and FANUC are collaboratingwith community
describes the development of class project modules inthe Industrial, Manufacturing, and Systems Engineering (IMSE) department at The University ofTexas at El Paso. The primary focus of these modules is to introduce the student to the concept ofgreen design and LCA in the evaluation of the environmental impact of the manufacturing process.This enables a high interdisciplinary platform for research and class modules suitable to be usedin the academic environment for hands-on student training. The modules are developed bythoroughly analyzing the skillsets required by the industrial needs. The module includes: 1)Introduction and theory of sustainable design; 2) Product design and development using CADsoftware; 3) sustainability analysis of the 3-D soft
areinvolved in.The students are taught the basic function of the Autodesk Inventor program and carried outseveral activities to expound the students' understanding of Autodesk Inventor. Among theprojects, the students researched and designed tool holders for standard household tools. Theyalso designed and virtually assembled a weathervane prototype. Several projects have beenperformed, including 1) designing and 3D printing tools holder; 2) designing safe childrenplayground equipment.To have a better understanding of Additive Manufacturing, students watched various videoson several 3D printing technologies. Also, students researched various concepts surroundingAdditive Manufacturing. As advanced topics, stress analysis, the use of 3D-scanner
eye-movement patterns of engineering students are similarto the pattern of a subject matter expert (SME), an ideal person who sets the expert criterion forthe car toy assembly process. Benchmark experiments are conducted with a comprehensivemeasure of performance metrics such as cycle time, the number of station switches, weight,price, and quality of car toys. Experimental results show that eye-tracking modeling is efficientand effective to measure problem-solving skills of engineering students. The proposed VRlearning factory was integrated into undergraduate manufacturing courses to enhance studentlearning and problem-solving skills.1. IntroductionManufacturing serves as a key wealth-creation engine and a vital provider of jobs in the
technical practitioners desired specific deep dives into data analytics, digital twinning,and process optimization after introductory overviews. Both educational experiences exposed aneed for preparedness in programming and statistical analysis software tools to take advantage ofthese smart manufacturing concepts.IntroductionManufacturing and industrial process systems are evolving at a relatively rapid pace due to thedigitalization and data centric transformations occurring in many aspects of the economy [1]. Asapplied to manufacturing, this wave of transformation is generally referred to as Industry 4.0 orSmart Manufacturing, and in the U.S. our efforts to modernize manufacturing are less centrallyled than in other countries [2]. By its very
tointroduce students to state-of-the-art principles of “Advanced Manufacturing Engineering for theAerospace Industry.” We use modern aircraft and industry practices as examples for students toillustrate topics of how design, aerodynamics, propulsion, structure, and performance areinfluenced by aerospace materials, manufacturing processes, quality systems, and industryregulations. We aim to prepare future technical specialists and/or business leaders for theaerospace industry. This paper details the process, challenges, and strategies associated withimplementing this course.1 IntroductionThe aerospace and defense (A&D) industry is vital to the U.S. economy. It contributed $909 billionin total sales revenue and nearly $64 billion in federal, state
produce PPE, collated information that is openly available for futuredeveloperstouse,reviewedtheissuesthatneedtobeconsideredbynewmanufacturersofPPE, and identified all the important lessons learned. This paper also charts a pathdemonstratinghowtosuccessfullydesignandfabricatePPEthatmeetsrequirementsforuseby the medical community. This case study can be used by students in design classes toreplicatetheprocessofPPEdevelopmentaswellasdevelopnewideasofimprovementthatwillhelpusinfuture.1.IntroductionTheCOVID-19pandemichasupendedsocietiesandeconomiesacrosstheglobe,infectingatotalofover99millionpeopleworldwideandkilling2.13millionasofJanuary2021,accordingtotheCDC.TheUnitedStateshasbeenthehardesthit
latest productiontechnology. Its popularity in fabricating functional parts in all fields is growing day by day. Therange of 3D printed products is limitless, including glass frames to hearing aids. It is thus importantto train educators and students regarding this cutting-edge technology so that they become familiarwith the functionality and implementation of it in several courses, laboratories, and projects. Thispaper reports several novel developments which have been implemented in the past few years,including details of these unique practices and feedback received from the educators and students.1. IntroductionThis paper will focus on the innovative delivery of 3DP in few different formats under the COVID-19 educational environment faced in
the field of engineering and engineering technology. Both theorganization haven't explicitly included entrepreneurship and Innovation in their programoutcomes, but one can read between the lines that both the concepts are indeed there within thedefinition of the programs. Exhibit 1: ABET ETAC program education objectives Source: www.abet.org 1 an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics 2 an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social
. Suggestions for improvement include changing theangle of camera and the color of the objects, and incorporating a remote coding component.MotivationHands-on experience is an essential part of manufacturing engineering education. However, thecost of industrial scale equipment, limited lab time, and large student population have hinderedthis desired experience. The idea of using remote labs (RL) was first proposed in 1991 by aresearcher at Purdue University who created a remotely shared control systems lab [1]. Remotelabs have received much attention as Internet technology has become mainstream. Remote labscan alleviate the challenges listed above [2-7]. Over the years, there have been a few attempts toreview of RLs and suggest challenges/problems.Chen
learning experience for students.1 Introduction and GoalComputer numerical control (CNC) mill is vital for many engineering and manufacturing practices.However, learning to use it, especially for a beginner with little to no experience, can bechallenging. A virtual simulation can serve as a good learning tool for operating a real CNCmachine. That way anyone could learn the process of using a machine such as this without thesafety hazards that could happen if certain precautions are not taken. A virtual CNC machine wouldhelp students with learning how to operate a physical machine in practice. Not only is thesimulation safer to learn, but it is more engaging. Allowing students to have interaction with themachine will vastly improve the learning
well as its ability to adapt to challenges and crises. This response could be seen fromindustrial manufacturing facilities that developed protocols and procedures to remain openthroughout the pandemic to continue producing a number of essential items [1]. Manufacturingeducation faced a challenge as well namely, how to continue providing experiential learning tostudents under the restrictions created by the COVID-19 pandemic. At the New Jersey Instituteof Technology (NJIT) this required addressing the operation of the NJIT Makerspace, whichserves as a platform for manufacturing and experiential education. The NJIT Makerspace is an advanced manufacturing and research and developmentfacility [2]. This 10,000 square foot facility not only
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
/cons of the operations will bepresented with the feedback received from the participants.IntroductionMany countries around the world have successfully adopted strict industrial policies for the lastfour decades. For instance, the current industrial policy “Made in China 2025” has the mainobjectives of transforming China to innovation and prioritizing “intelligent systems” [1][2]. As aresult, in the year 2010, the United States lost for the first time in modern history its position asthe world’s largest manufacturer [3][4]. The small gap between the two countries continues torapidly widen due to the accelerated growth in the Chinese manufacturing industry, and its rapidtransformation to research and innovation, particularly in artificial
environment.The objective of the study is to answer the questions: (1) Which factors affect the systemperformance measures and to what extent? and (2) can optimal settings be identified for thesystem to perform consistently over the range of the extraneous noise variable? To do this,Taguchi experiments will be utilized, along with Signal to Noise (S/N) ratios and factorial plots,to analyze the results. The aim of this paper is to introduce the application of quality controlmethods in performance optimization for an automated electrohydraulic position control system.The system setup, hardware, software, and programming will be introduced. The researchdesign, measurements, and experimental runs will be demonstrated and explained. The impact onstudents
-year Engineering Technology degree (A.S.ET) is the vehicle for manufacturing education in Florida. The degree is offered in over 85% ofthe colleges in the Florida College System (FCS) and has over 2,000 students enrolled statewide.The current NSF supported project is to conduct a I4.0 focused Caucus of manufacturers and ETdegree college faculty to collectively identify skill issues that will affect manufacturingproduction efficiency and product reliability.The project team initially used the nine Industry 4.0 (I4.0) technology areas identified by theBoston Consulting Group and selected four that will directly impact starting technicians workingin companies that are already implementing Industry 4.0 technologies: (1) Autonomous Robots,(2
assigned to our students with thetopics on virtual reality (VR) modeling related to renewable energy, power systems, environment,robotics, or other engineering topics. These projects have become a good example of student-centric green STEM program as well as providing valuable hands-on experience to the students.In addition to providing useful lessons in teamwork and project management, the projects providea working demonstration of a wind and solar energy system. The goals of all the projects are toexplore and enhance student understanding of the green STEM program and how they can betailored for fast graduation of enrolled students. The objectives of the final project in EET 320Renewable Energy Systems include: 1. To design a 3D model of Wind
increase and influx of domestic manufacturing talent into the national workforce dueto the necessity to manufacture wartime supplies [1] and the effects of the large manufacturingexpansion [2]. However, in more recent decades, experienced manufacturing engineers andtechnicians seem to be retiring faster than they can be replaced [3]. As in a number ofmanufacturing industries across the U.S., the metalcasting industry is experiencing difficult timesin hiring replacements for their skilled technicians, engineers, and managers. When these menand women leave the workforce, they take decades of knowledge and experience inmanufacturing with them [4]. In fact, it has become such an issue that the domesticmetalworking manufacturers qualified to produce
comfort of home” were most helpful. Suggestions for improvementinclude changing the angle of camera and the color of the objects, and incorporating a remotecoding component.MotivationHands-on experience is an essential part of manufacturing engineering education. However, thecost of industrial scale equipment, limited lab time, and large student population have hinderedthis desired experience. The idea of using remote labs (RL) was first proposed in 1991 by aresearcher at Purdue University who created a remotely shared control systems lab [1]. Remotelabs have received much attention as Internet technology has become mainstream. Remote labscan alleviate the challenges listed above [2-7]. Over the years, there have been a few attempts toreview of
employed to extend the utilization of robots intoadditional areas. The history of modular robots starts in 1972 when the active chain chordmechanism (ACM) was developed, leading to future development of chain-type modular robots.[1] The modular robot research started to gain momentum in the late 1980s, followed by thedevelopment of Cellular Robotic System (CEBOT), which was characterized by self-organization, self-evaluation and functional amplification where multiple modules collaboratedto accomplish the task. [2]Modular robots are mostly reconfigurable and thus more adaptable. There a two distinct types:user-configurable and self-configuring: User-configurable robots are configured by their operators to perform desired tasks. The
Adobeabout VR Education, it states that “Virtual reality can be used to enhance student learning andengagement. VR education can transform the way educational content is delivered; it works onthe premise of creating a virtual world — real or imagined — and allows users not only see it butalso interact with it. Being immersed in what you’re learning motivates you to fully understand it.It’ll require less cognitive load to process the information.”[1] There is no limit to thedevelopment of VR. It makes knowledge more accessible and change the way people normally seeand perceived education. Recent years, with the improvement in high speed computing especially of high resolutiongraphics and the user interaction devices, the technology of virtual
improving the course contents(both theory and lab). For comparison purposes, the contents of a similar course developed at adifferent university is also provided in this study.IntroductionAdditive Manufacturing (AM) is an emerging technology that encompasses numerous threedimensional (3D) printing technologies for joining materials layer by layer to make objects from3D computer-aided design (CAD) model data [1]. Through AM technology, complex geometricshapes, multi-material and multi-functional parts can be additively manufactured in a singleoperation which is a big advantage over conventional manufacturing processes. Over the past twodecades, the intensive research carried out on AM technologies has yielded significant progress inthe development
facultyadvisors. This team started their capstone as usual. However, in the middle of the first semesterof the capstone (Spring 2020), the team has experienced imposed restrictions due to COVID-19.Restrictions due to COVID-19 were still active in the second semester (Fall 2020). The teamcould complete the capstone project in Fall 2020 during COVID-19 pandemic. In this paper, thepowder compaction system is introduced. The details of the block diagrams and fabricatedprototype device are presented. Testing and verifications are shown, and the capstone evaluationis presented.I. Introduction A powder compaction system can be useful to various manufacturing technologies, such aspowder metallurgy [1] and additive manufacturing [2-5]. In powder metallurgy, a