Integrating Collaborative Robots in Engineering and Engineering Technology Programs

2018 ◽  
Author(s):  
Ana Djuric ◽  
Jeremy Rickli ◽  
John Sefcovic ◽  
Donald Hutchison ◽  
Michael M. Goldin
Keyword(s):  
Manufacturing Systems ◽  
Production Systems ◽  
Advanced Manufacturing ◽  
Engineering Technology ◽  
Technology Program ◽  
Collaborative Robots ◽  
Wayne State University ◽  
Technology Programs ◽  
Safety Considerations ◽  
Automation Technology

Collaborative robots (CoBots) are robots that can safely work alongside human workers. CoBots represent one form of advanced automation technology in manufacturing and are expected to become standard in production systems. They have the potential to transform manufacturing and assembly processes, however, there is a critical lack of U.S. trained CoBot technicians and engineers. The objective of this paper is to describe and introduce novel Collaborative Robotics course modules and their integration in Engineering and Engineering Technology programs at Wayne State University (WSU) and Oakland Community College (OCC). Modules cover three target areas: 1) Safety considerations for CoBots, 2) CoBot operations and programming, 3) Designing and evaluating CoBot systems. Modules cover fundamental knowledge of CoBots in advanced manufacturing systems and are developed based on input from CoBot manufacturers and experiments at the WSU’s Cobotics lab. Module components include CoBot fundamentals and hands-on laboratory exercises necessary to prepare a career-ready workforce, train industry professionals, and educate academicians on CoBot technologies for advanced manufacturing. Modules and components are developed such that the elements can be integrated into the current Robotics and Automated Systems Technology program at OCC and Engineering and Engineering Technology programs at WSU.

scholarly journals Final Year Student’s Perception before Engaging Engineering Technology Program in UTeM

2016 ◽  
Vol 3 (2) ◽  
pp. 85-89
Author(s):  
Mohamad Haniff Harun ◽  
Umar Al-Amani Azlan ◽  
Nor Hamizah Miswan ◽  
Khairum Hamzah ◽  
Ahmad Zubir Jamil ◽  
...  
Keyword(s):  
Education System ◽  
Industrial Development ◽  
Sample Space ◽  
Market Survey ◽  
Engineering Technology ◽  
Technology Program ◽  
System Utilization ◽  
Operation And Maintenance ◽  
Technology Programs

In line with industrial development which is growing rapidly in Malaysia, the country is in great needs of competent technical workforce able to apply the latest concept of technology, improve equipment and system utilization, optimizing operation and maintenance of equipment. Therefore, an engineering technology program will be introduced in Malaysia education system at higher level. In determining the perception of Engineering Technology program in Universiti Teknikal Malaysia Melaka (UTeM), a market survey has been conducted to gather the perception of the final year students about Engineering Technology. Total numbers of 123 students from Cohort 1 with two different departments, electrical and manufacturing were used as a sample space. The scope of the market survey covered regarding their perspective and understanding of Engineering Technology before enrolling engineering technology program from their perspective courses. The findings show that there is a difference perception in overall especially regarding their understanding of terms Engineering Technology Programs.

scholarly journals Application Of Statistics In Engineering Technology Programs

2010 ◽  
Vol 1 (1) ◽  
pp. 65-78 ◽  
Author(s):  
Wei Zhan ◽  
Rainer Fink ◽  
Alex Fang
Keyword(s):  
Signal To Noise Ratio ◽  
Research Question ◽  
Robustness Analysis ◽  
Pilot Project ◽  
Engineering Technology ◽  
Technology Program ◽  
Industry Standard ◽  
The Monte Carlo Method ◽  
Analysis Measurement ◽  
Technology Programs

Statistics is a critical tool for robustness analysis, measurement system error analysis, test data analysis, probabilistic risk assessment, and many other fields in the engineering world. Traditionally, however, statistics is not extensively used in undergraduate engineering technology (ET) programs, resulting in a major disconnect from industry expectations. The research question: How to effectively integrate statistics into the curricula of ET programs, is in the foundation of this paper. Based on the best practices identified in the literature, a unique “learning-by-using” approach was deployed for the Electronics Engineering Technology Program at Texas A&M University. Simple statistical concepts such as standard deviation of measurements, signal to noise ratio, and Six Sigma were introduced to students in different courses. Design of experiments (DOE), regression, and the Monte Carlo method were illustrated with practical examples before the students applied the newly understood tools to specific problems faced in their engineering projects. Industry standard software was used to conduct statistical analysis on real results from lab exercises. The result from a pilot project at Texas A&M University indicates a significant increase in using statistics tools in course projects by students.  Data from student surveys in selected classes indicate that students gained more confidence in statistics.   These preliminary results show that the new approach is very effective in applying statistics to engineering technology programs.

Program-level strategic planning for electrical engineering technology programs

2020 ◽  
pp. 002072092095312 ◽  
Author(s):  
Albert Lozano-Nieto
Keyword(s):  
Strategic Planning ◽  
Academic Staff ◽  
Electrical Engineering ◽  
Engineering Technology ◽  
Technology Program ◽  
Engineering Programs ◽  
Non Profit ◽  
Institutional Level ◽  
Strategic Plans ◽  
Technology Programs

Strategic planning is a tool widely used in business, industries and non-profit organizations and has been recently adopted in academia. However, because their own characteristics, the strategic plans in colleges and universities are mostly developed at an institutional level. As these provide an overview of the organization, they cannot be very detailed and may contain a certain amount of ambiguities in order to satisfy its multiple constituencies. At the institutional level there are limited opportunities to include specific strategies that may affect individual academic programs. To solve these limitations, this paper proposes strategic plans being developed and incorporated at the program level, specifically for electrical engineering or electrical engineering technology programs. The appropriate strategic planning results in strengthen these programs and generate useful and significant dialog among their constituencies. The paper finishes by showing a generic strategic plan for an electrical engineering technology program that can nevertheless, be adopted and modified as needed by faculty and academic staff involved in this process of creating a similar plan for their own electrical engineering programs.

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

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