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Non-Destructive Testing (NDT) and Evaluation Using Ultrasonic Testing Equipment to Enhance Workforce Skillset for Modern Manufacturing

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Conference

2018 ASEE Annual Conference & Exposition

Location

Salt Lake City, Utah

Publication Date

June 23, 2018

Start Date

June 23, 2018

End Date

July 27, 2018

Conference Session

Manufacturing Curriculum and Course Innovations

Tagged Division

Manufacturing

Page Count

10

Permanent URL

https://peer.asee.org/30842

Download Count

30

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Paper Authors

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Aditya Akundi University of Texas, El Paso Orcid 16x16 orcid.org/0000-0002-8656-7002

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Aditya Akundi is currently affiliated to Industrial Manufacturing and Systems Engineering department, and Research Institute for Manufacturing and Engineering Systems at University of Texas, ElPaso.

He earned a Bachelor of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, India. He earned a Master of Science in Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). Intrigued by Systems Engineering , he earned a Ph.D in Electrical and Computer Engineering, with a concentration in Industrial and Systems Engineering (ISE) at Unniversity of Texas in 2016. His research is focused on undersanding Complex Technical and Socio-Technical Systems from an Infromation Theortic approach.
He has worked on a number of projects in the field of Electrical & Computer Engineering, Systems Engineering, Additive Manufacturing and Green Energy Manufacturing. His research interests are in Systems Engineering & Architecture, Complex systems, Systems testing and Application of Entropy to Complex Systems.

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Tzu-Liang Bill Tseng University of Texas, El Paso

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Dr. Tseng is a Professor and Chair of Industrial, Manufacturing and Systems Engineering at UTEP. His research focuses on the computational intelligence, data mining, bio- informatics and advanced manufacturing. Dr. Tseng published in many refereed journals such as IEEE Transactions, IIE Transaction, Journal of Manufacturing Systems and others. He has been serving as a principle investigator of many research projects, funded by NSF, NASA, DoEd, KSEF and LMC. He is currently serving as an editor of Journal of Computer Standards & Interfaces.

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Md Fashiar Rahman

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Eric D Smith University of Texas, El Paso

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Eric D. Smith is currently an Associate Professor at the University of Texas at El Paso (UTEP), a Minority Serving Institution (MSI) and a Hispanic Serving Institution (HSI), He works within the Industrial, Manufacturing and Systems Engineering (IMSE) Department, in particular with the Master of Science in Systems Engineering Program. He earned a B.S. in Physics in 1994, an M.S. in Systems Engineering in 2003, and his Ph.D. in Systems and Industrial Engineering in 2006 from the University of Arizona in Tucson, AZ. His dissertation research lay at the interface of systems engineering, cognitive science, and multi-criteria decision making. He earned his J.D. from Northwestern California University School of Law.

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Abstract

Non-Destructive Testing (NDT) has been widely regarded as a pervasive need and high priority for all aspects of manufacturing processes. The impact of NDT is crosscutting and impacts almost the entire cycle of manufacturing processes, e.g., materials, processing, inspection, and certification. NDT has been proved to be extremely beneficial for product evaluation and research and is widely observed in the fields of automation, aviation, and manufacturing as such and allows in identifying and characterizing material and defects in products realized thereby, assures the functionality and reliability of a system or its constituent structural components. However, such techniques require specialized training for applying and interpreting the data from non-destructive evaluation tests and thereby sets a necessity to introduce the current emerging workforce to NDT skills to meet the demand for trained workforce in manufacturing industries. This paper aims to provide an in-depth outline of Ultrasonic technology based NDT technique used for training in the Industrial Manufacturing and Systems Engineering department at the University of XXXX. Omni Scan SX equipment was used for training, that transmits high-frequency waves into a material to enable in detecting imperfection or to locate changes in a given material and its properties. Students were trained and provided with IIW type 1 reference Block which was tested to detect and characterize a defect in the block.

Akundi, A., & Tseng, T. B., & Rahman, M. F., & Smith, E. D. (2018, June), Non-Destructive Testing (NDT) and Evaluation Using Ultrasonic Testing Equipment to Enhance Workforce Skillset for Modern Manufacturing Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30842

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