A Conductivity Measurement Tool for Aluminum Components
- Conference
- Location
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Minneapolis, MN
- Publication Date
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August 23, 2022
- Start Date
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June 26, 2022
- End Date
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June 29, 2022
- Conference Session
- Page Count
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16
- DOI
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10.18260/1-2--40740
- Permanent URL
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https://peer.asee.org/40740
- Download Count
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385
Paper Authors
Cyril Okhio Clark Atlanta University
Cyril Okhio Ph.D., C. PEng., is a faculty of Engineering in the Southern Polytechnic College of Engineering and Engineering Technology, Kennesaw State University. He graduated with a Ph.D. from Queen Mary/Imperial College London and was a Post-Doctoral research Fellow of the Science & Engineering Council SERC, United Kingdom UK. He is registered as a Chartered Professional Engineer with the Council of Registered Engineers, UK; a Member of the Institution of Mechanical Engineers UK, a Trustee of the Georgia Society of Professional Engineers, Cobb Chapter, a Member of the American Society of Engineering Educators ASEE, and a Member of the Institute of Transportation Engineers, USA. Dr. Okhio has carried out experimental and numerical investigations of, and developed statistical analysis tools and computer codes, for the numerical simulation/calculation of complex flows. He has been co-PI in a few successful research efforts including those related to NASA, WPAB, GE, NSF, NRO, ARO, ORNL, Honeywell, KCP, to name a few. He has also been the co-PI on Department of Energy sponsored Project called Minority Serving Institution Partnership Project MSIPP on Advance Manufacturing which involved the (1) use of research activities to developing students’ readiness for the workforce, (2) build through collaboration, professors’ knowledge and awareness of additive manufacturing technology and funding/sponsor opportunities, (3) Build relationships with CAM University and Industrial partners to develop opportunities to perpetuate R&D collaborations beyond the time and funding constraints of MSIPP. He is currently involved in multi-disciplinary research and development studies concerning Cognitive use of Electro-Encephalogram EEG Technology/Software to investigate the Neural Processes underlying Attention, Bio-Feedback, Memory, Inhibition, and Language, within the KSU Simulation and Visualization Research Center.
Austin Asgill Kennesaw State University
Dr Austin B. Asgill received his B.Eng.(hons) (E.E.) degree from Fourah Bay College, University of Sierra Leone, his M.Sc. (E.E.) degree from the University of Aston in Birmingham, and his Ph.D. in Electrical Engineering from the University of South Florida. He is currently a Professor of Engineering Technology (Electrical) at Kennesaw State University (KSU). Prior to joining the faculty at KSU (formerly SPSU), he was an Associate Professor of Electronic Engineering Technology at Florida A&M University (FAMU), where he served as Program Area Coordinator and Interim Division Director. With over 30 years of teaching experience in Electrical/Electronic Engineering and Engineering Technology, he currently teaches in the areas of networking, communication systems, biomedical instrumentation, digital signal processing, and analog and digital electronics. He has worked in industry in the areas of telephony, networking, switching and transmission systems, and RF and MMIC circuits and system design. Dr. Asgill also has an MBA in Entrepreneurial Management from Florida State University. He has served on the board of the Tau Alpha Pi (TAP) National ET Honors Society since 2012 (Chair 2012-2014). He is a Senior Member of the IEEE, a Member of the ASEE, and is a licensed Professional Engineer (P.E.) in the state of Florida.
Theodore Grosch Kennesaw State University
Lakshmi Bhargavi Tripuraneni Kennesaw State University
Mark Easley Texas Instruments, Inc.
Abstract
In modern manufacturing industry instrumentation, there are requirements for fast, precise, and cost-effective methods for measuring the properties of manufactured materials. In the production of Aluminum Extrusions, Conductivity Measurements are taken to confirm proper heat treatment and to ensure that the product is within specifications. Extensive research and experimentation were conducted to study contemporary methods of conducting conductivity measurements and to explore new ways in which conductivity can be measured such as the four-point method, pulsed eddy currents, and through eddy current inductance variation. It was determined these methods were effective, yet complex in implementation. In this paper, we discuss and present the results of a method that was developed to accurately measure the conductivity of aluminum extrusions by utilizing a signal generator, signal processing circuitry, and database connectivity. We present the derivation of a simple mathematical model relating conductivity to known values and response signal rather than complex signal analysis, which allows for computation to take place on devices with low computing power. Additionally, a web-based user interface was developed and implemented alongside the designed probe to streamline the manufacturing process via barcode-based lot management and a Microsoft SQL 17 database.
Okhio, C., & Asgill, A., & Grosch, T., & Tripuraneni, L. B., & Easley, M. (2022, August), A Conductivity Measurement Tool for Aluminum Components Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40740
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