to see how theVFD data can be extracted for new motors and many legacy equipment still in use and howvarious settings can be adjusted.1. IntroductionData analytics and Artificial Intelligence (AI) have transformed many industries in the lastdecade [1]. In tandem, a skilled workforce needs to understand how to gather/access data toextract trends and optimize operations, and how label the key events, and develop training datasets that can be used by machine learning (ML) experts for advanced analytics. The power ofML and AI has not been fully realized in the manufacturing sector [2]. One of the majorchallenges is that the small and medium manufacturers, which account for 98% of the industry,lack the dedicated data analytic workforce. This is
design team was tasked with creating a simplified process totransform post-consumer High Density Polyethylene (HDPE) into a casted functional product.Post-consumer plastic poses a significant threat to the environment due to the long time it takesfor it to decompose [1], and that 36 million tons of plastic waste is generated in the United Stateseach year [2]. As HDPE plastics can be recycled at least ten times without significantdegradation of its mechanical properties [3], they are an ideal target for recycling programs toreduce landfill waste and maximize the useful life of these plastics. Challenges in recyclingpost-consumer plastics center around the purity of the plastic product, as different types ofplastics are often mixed in
inIndiana grew back to pre-pandemic figures with a need for 526,000 workers in 2021, comparedwith 539,000 in 2019, resulting in the country's highest concentration of manufacturing jobs [1].The problem further intensifies because although the manufacturing workforce growth results innew jobs and higher wages, manufacturers face challenges in recruiting well-qualified workers[2].While reskilling and upskilling efforts will be needed for the current workforce, particularly inthe plant floor, new jobs and occupations will emerge. These new jobs will require professionalsand future managerial employees to have strong data science skills in order to effectively designand oversee future AI-enabled manufacturing systems. However, a critical gap exists
conversion andalteration, as well as production of prefabricated ship and barge sections and other specializedservices. The industry also includes manufacturing and other facilities outside of the shipyard,which provide parts or services for shipbuilding activities within a shipyard. This segment of theUS economy contributes 42 billion dollars to the annual Gross Domestic Product (GDP) [1].Currently, there are 154 private shipyards in the United States spread across 29 states and the U.S. Virgin Islands. In addition, there are more than 300 shipyards engaged in ship repairs orcapable of building ships but not actively engaged in shipbuilding [2]. Public shipyards includePortsmouth, NH, Norfolk, VA, Pearl Harbor, HI and Pudge Sound, WA. Further, the
: ChatGPT was not used to author the paper except for items that are shown in theFigures and Program Listing.IntroductionIn 2022 artificial intelligence became widely accessible through the release of ChatGPT, aninteractive platform that produces cogent text in response to user queries.1 Subsequently, thegrowth of ChatGPT’s popularity, as measured by its user base, quickly outstripped the premier ofany prior application.2 Likely this tool, based on large language models and user feedback, willaffect the future of engineering education. By predicting “tokens” (characters or small assembliesof characters) related to a user input the software can: · Provide simple explanations of technical topics; · Problem solve; · Write
process improvements is a Digital Twin [1, 2]. Digital twin is a digitalrepresentation of a physical system, commonly in a form of a mathematical model thatrepresents dynamic behavior of a cyber-physical object. Digital twin provides severalcapabilities to engineers: (a) what-if analysis during design process, (b) predictive health-basedmaintenance, and (c) process control and adaptive scheduling. According to Grieves andVickers “While the terminology has changed over time, the basic concept of the Digital Twinmodel has remained fairly stable from its inception in 2002. It is based on the idea that adigital informational construct about a physical system could be created as an entity on itsown. This digital information would be a twin of the
uncertainties. In this paper 6061 Aluminum (Al) and 1008 CarbonSteel (CS) were welded together using Resistance Spot Welding for two groups: one with aSilicon Carbide powder (SiC) added as a coating and one without the powder. Welding oftencauses metals to change in composition, which can lead to a decline in physical properties,including strength and corrosion resistance. Even more so when the welded pieces are dissimilarmetals. In this paper it was found that the corrosion resistance of the welded joint in acidicenvironments (1% HCl at 35, 45, and 55 Celsius) increased when the SiC powder was added. Itwas also found that the tensile strength of the welded joint increased in the samples that thepowder was used in. If Engineering students understand
design and develop complex systems, • Understand the practice of systems engineering across enterprises, and • Identify best practices to design and develop large projects.To attain the identified objectives, the course was designed to be delivered in 6 modules spreadacross 12 weeks, with two additional weeks accounted for student final project presentations.Details on the course modules and their SE learning outcomes are identified below.Module 1 - Class Orientation and Introduction to Systems Engineering: In this module, thestudents were introduced to each other in the class and then to the instructor. Students shared sharetheir names, professional experience, and the expectations they have for this course. Further, bythe end of this
for investigating any situation [1]. Over recent years, this technology has significantlyexpanded its capabilities, aided by more powerful processors, greater visualization capacities, andmore sophisticated software. In addition, it can explore operational efficiencies, systemsutilization, bottleneck analysis, etc., using combinations of readily available computer softwarepackages, such as SIMIO, FlexSim, AnyLogic, spreadsheets and other visualizations tools [2, 3].The huge popularity of M&S can be seen in the wide set of application areas such asmanufacturing, transportation, government, and healthcare, along with its ability to driveincreasingly high-quality animation, helping practitioners in appropriate decision-making [4]. Inrecent
criteria for accrediting engineering and engineering technologyprograms reflect the importance of standards competence for students. Specifically, the 2023-2024 Engineering Accreditation Commission (EAC) criterion 5d states, “The curriculum mustinclude a culminating major engineering design experience that 1) incorporates appropriateengineering standards and multiple constraints, and 2) is based on the knowledge and skillsacquired in earlier course work.” [1] Also, the Engineering Technology AccreditationCommission (ETAC) criterion 3 states student outcomes of “an ability to conduct standard tests,measurements, and experiments and to analyze and interpret the results” (3.A.4) and “an abilityto conduct standard tests, measurements, and experiments
development, are described, underliningthe interdisciplinary nature that simulates real-world situations and integrates sustainability with creativityand innovation [1][2]. Capstone projects developed in the past five years by our students are the corollaryof their educational journey and also an excellent assessment of their level of skills and competenciesacquired during this journey. Manufacturing and energy, and sustainability capture more than 65% of thecapstone topics chosen by our students. These projects provide a great opportunity to experience andovercome the uncertainties inherent to all engineering projects. Projects are open-ended—having aspectrum of possible solutions; students are ultimately responsible in deciding which solution to
training methods in the aspect of student attraction andengagement and exploring possibilities to improve them with appropriate game-like elements.1. IntroductionThe modern machining industry remains one of the vital sections of the world economy, with asubstantial workforce - in the USA alone, the machining industry has employed over 300,000skilled machine tool operators, as of 2021 [1]. The issue of an aging and declining machinistworkforce is brought up by industry sources, with an average age of trained professionals in thefield reported at approximately 45 to 56 years [2, 3]. The shrinking workforce causes a need todevise methods to ensure increased enrollment and retention of trained machinists to meet futureindustrial demands. If
andTolerancing (GD&T) in design and manufacturing helps to minimize the above issues byimproving manufacturing output, productivity, cross-departmental communication, partassembly, part interchangeability while reducing cost and shortening schedule time [1],[2].Although industry have been implementing GD&T for decades, lack of comprehensiveeducations in undergraduate engineering/technology curricula make the transition of graduatedengineers to industry a difficult period. It was suggested that GD&T should be taught for 60hours during two quarters or during one whole semester [3]. Literature survey indicates only fewinstitutions in the USA have engaged students with GD&T activities in undergraduate programswhile some programs even
representation, andmulti-object selection. We conduct an analysis of the two modes of VR interaction in a craftproduction task and show increased performance of using magic interactions.1. IntroductionManufacturing helps create wealth, provides jobs, and is vital to the economy. Because technologyis changing rapidly, manufacturing companies need to adapt and stay ahead of the competition.There is an imperative need to train future engineers in the manufacturing industries to help themadapt the latest technology to stay competitive. A hands-on curriculum that blends theory andpractical skills is needed to teach these essential skills. An integral part of such a curriculum is alearning factory, which is a simulation environment that is designed to provide
manufacturing engineering coursedeveloped and implemented. A summary of two offerings of this course is briefly described. Itprovided high engagement for students that has been observed through the learning processinteractions. It also provided a platform to implement IIoT, digital cloud, and real-time datacollection to help with the detection of unplanned events and behavior. The setup also providedtools for fast correction response and documentation.1. IntroductionSustainably managing input resources such as energy, material, and other supplies to operatefriendly environmental production will result in not only economic improvements but also aslowdown and reduction in natural resource utilization [1]. Interoperations’ complexity of amanufacturing
design, analyze, and fabricate orprototype mechanical parts of UAVs/drones. A few certification programs would also beavailable for workforce development in these areas. In addition, course content related tomanufacturing would be delivered through different project ideas, leaving room for theinstructor’s creativity.IntroductionIn recent years, one of the most visible impacts of COVID-19 has been felt in the globalproduction and supply chain. After COVID-19, manufacturing industries start to recover andgrow. The rebounding manufacturing sector recorded a growth of 6.9 percent in 2021, buckingthe trend after a suppressed growth of negative 0.4 percent in 2020 [1]. According to the Bureauof Labor Statistics, this sector is expected to add 41,400
such as Germanyhave advanced the concept of the Fourth Industrial Revolution, often referred to as Industry 4.0[1]. The intent is to integrate design, manufacturing, and consumer activities seamlessly toincrease productivity, reliability and customer satisfaction. An Industry 4.0 manufacturingsystem—also called a cyber physical production system (CPPS)—integrates Internet of Things(IoT), Internet of Services (IoS, or also called Cloud Computing) and cyber-physical system(CPS) technologies [2]. These changes will profoundly impact manufacturing work and workers.Industry 4.0 is projected to add $2.2 trillion to domestic GDP by 2025. The estimated maximumvalue of the operational transformation brought by Industry 4.0 to the global
prepared to perform systemintegration tasks. For example, recent studies by Deloitte and The Manufacturing Institute notethat the U.S. faces a need for nearly 2.4 million manufacturing positions to be filled by 2028 [1].In addition, in May 2019, Deloitte surveyed 523 executives in a range of industries in 26countries across the globe on their intelligent automation strategies and the impact on theirworkforces. Results suggest that over the next three years, executives expect automation toincrease their workforce capacity by 27%, which is equivalent to 2.4 million additional full-timeemployees [2]. Needed are methods for helping students to develop system integration skillsreliably and efficiently.What is system integration?System integration
the drone body and aprocedure for embedding the electric wiring was developed. This integration required severaldesign modifications, which were implemented and prototyped. We believe that this modulardrone development project design and mentorship guided by the principles of experientiallearning and empowered by AM has increased the efficacy of students and helped them developseveral skills that are valuable to the future engineering work force including team skills,leadership, time-management, life-long and interdisciplinary learning, and entrepreneurshipmindset. Through a survey and focus group approach, the findings of an independent evaluatorconfirm those benefits to the students participating in the project.1. IntroductionAdditive
framework could help educators make better decisions on how to effectively integratethese new technologies within the curriculum to enhance and augment the learning ofengineering concepts for students.Introduction Extended Reality (XR) is an umbrella term for various types of electronically enabledrealities like Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) [1].Extended reality (XR) devices and applications are being utilized to augment training andeducation within engineering and beyond. These include a broad spectrum of devices rangingfrom immersive virtual reality headsets with handheld controllers to augmented reality headsetswith finger tracking and smartphones with intelligent machine vision. Fig. 1 shows
) Portal is used as the programming environment.This project focuses on the automation of an industrial manufacturing system through several toolssuch as PLC, TIA PORTAL (V16), and PROFIBUS. The control of the whole system isimplemented by using Siemens Sematic PLC. The main objective of this project is to create a fullyautomated production line for college education. The system consists of Buffering, Sorting,Assembly, Processing, Testing, Handling, and Storage to minimize the risk to workers’ health [1]and the occurrence of accidents and increase production efficiency.IntroductionIndustrial automation plays a crucial role in enabling the manufacturing industry to competeglobally in terms of productivity, cost, and demand-supply proportion [2
, datacom, wireless, sensing andimaging systems for the cloud and mobile computing, automobile and aircraft, display, medical,and energy industries. This 21st century advanced manufacturing sector is in dire need of amassive increase in its photonics technician and engineer workforce, over the next decade.However, an inadequate pipeline of incoming learners to fiber optic and photonic integratedcircuit (PIC) careers at 2- and 4-year colleges is severely limiting the prospects for rapidworkforce growth (see Fig. 1)[1,2,3,4].To support this near-term workforce demand, a modular library of Virtual Reality (VR) andGame-Based Learning (GBL) digital simulations (sims) and blended (digital and hands-on)learning content have been created that may
[1] was chosen to support a PLC course for second-year students in an Electrical and Computer Engineering Technology program at WesternCarolina University. The Open-Source project provides a programming environment withstandard PLC programming languages like Ladder Logic, Structured Text, Sequential FunctionCharts, Instruction List, and Function Block Diagrams. Students can write programs anddownload the results to a wide variety of low-cost hardware platforms. Some of the lower-costoptions include Arduino [2] and Raspberry Pi [3] boards. For the purpose of the paper somespecialty hardware was purchased that was Arduino based but included numerous input andoutput cards used in commercial PLCs. Using OpenPLC expanded the students’ access
identify relevant standards (i.e., technical documents thatprovide best practices and establish uniform procedures across different organizations) andappropriately use these standards to guide their work. The use of standards is so central toengineering that the Accreditation Board for Engineering and Technology (ABET), whichaccredits colleges and universities that offer engineering degrees, requires that an accreditedprogram “incorporates appropriate engineering standards and multiple constraints” into acapstone design experience [1]. Standards are valued in industry, as well. A survey of managersin technical sectors showed that the managers viewed standards as essential to daily operations,regardless of their company’s specific sector [2
project students presents a number of progresses on the attainment of the ABET StudentOutcomes. This paper reports the development and implementation aspects of this course.1. IntroductionIn Fall 2022, a required subtractive manufacturing course has been improved with a term projectfocused to service learning. The intention was to develop and implement practices tied to servicelearning and enhance the course students’ learning and success by implementing a servicelearning – focused term project. Service Learning is a teaching and learning approach thatconnects academic course to community-based problem solving practices [1]. Service Learninghas been proven as a successful student-centered learning activity in a high number ofEngineering and
theindividual layers takes a lot of time, material, and precision. However, the labor and maintenanceinvolved is minimal, making 3D printing a great cost effective option for manufacturing designmockups and other plastic parts [1-2]. 3D printing creates less waste because material is beingadded to manufacture the part instead of removed. In addition to increasing efficiency, manufacturing engineers must consider how toreduce manufacturing cost. Some ways to achieve this is by reducing the amount of materialneeded or by reducing the amount of labor time per part. Using an infill pattern instead ofprinting a solid part addresses both of these methods. The layers cover less area and thereforetakes up less time and material to complete each layer of
also to identify key differences between machinist traineeswho exhibit no underlying hearing problems and ones who are deaf/hard of hearing. The findingsof this work provide valuable takeaways concerning machinists with hearing loss, revealing littleto no effect of hearing impairment on trainee performance, alleviating concerns about potentialperformance weaknesses. The outcomes from this study have shown that trainee experience seemsto relate directly to machining proficiency, regardless of hearing impairment.2. Introduction2.1 Background Estimates from the Survey of Income and Program Participation (SIPP) indicate that fewerthan 1 in 20 Americans are currently deaf or hard of hearing [1]. However, Only 53.3% of deafpeople ages 25-64
, the applied focus and the hands-on requirement for graduatesjustifies the investment in industrial-type resources that support in-depth treatment of the subject.Ertekin et al. [1] describe their efforts at integrating advanced CAD/CAM and CNC technologiesinto courses offered at Drexel University to engineering technology majors. Their efforts focus oncreating a 3-D Virtual Laboratory that compliments physical equipment. They make the case thathaving unlimited access to hardware and software simulators enhances learning of students andmakes them more effective when they move onto the physical equipment. The virtual laboratorythey have developed also supports remote operation of in-house custom-built desktop CNCs whichthe students can use to
(DT) has drawn growing research attention [1–2]. Deep research is in progress on digitizationthrough various smart algorithms of Machine Learning (ML), Artificial Intelligence (AI), BigData Analytics (BDA), high fidelity simulation in addition to various other cutting-edge toolsand technologies [3-4]. In this direction, Digital Twin (DT) and AI are turn out to be the mostpopular tool to improve the AM processes performance with respect to the defects, porosity,roughness, deformation and many more. Digital twins enable real-time monitoring andoptimization of the manufacturing process, leading to improved quality control, reduceddowntime, and enhanced productivity. In its original form, the DT is defined as a digitalinformational construct