Design of a Monitoring System for CNC-Machining Processes
- Conference
- Location
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Portland, Oregon
- Publication Date
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June 23, 2024
- Start Date
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June 23, 2024
- End Date
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July 12, 2024
- Conference Session
- Tagged Division
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Manufacturing Division (MFG)
- Permanent URL
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https://peer.asee.org/47124
Paper Authors
Zhenhua Wu Virginia State University
Dr. Zhenhua Wu, is currently an Associate Professor in Manufacturing Engineering at Virginia State University. He received his PhD in Mechanical Engineering from Texas A&M University. His current research interests focus on cybermanufacturing, friction stir welding.
Pamela Leigh-Mack Virginia State University
Dr. Pamela Leigh-Mack is Professor of Computer Engineering, and Director of Assessment for the College of Engineering and Technology at Virginia State University. She received the B.S. degree in Mathematics from Virginia Union University, B.S. and M.S. degrees in Electrical Engineering (EE) from Howard University, and the Ph.D. degree in EE from the University of Delaware. Among her professional affiliations are ASEE, IEEE and SWE. She currently serves as a Board Member-at-Large of the Inclusive Engineering Consortium (IEC), and the Electrical and Computer Engineering Department Heads Association (ECEDHA); Advisory Board member of the Association of Public Land-Grant Universities’ (APLU) CIS Study; and University of Delaware ECE Advisory Council member. She has a strong interest in engineering education including accreditation and assessment, and diversity in the engineering, particularly for African-Americans and women.
Abstract
Data collection and visualization is a key enabler technique in the Industry 4.0 era. This paper describes a senior project that designs a monitoring system for manufacturing processes. It deploys multi-heterogeneous sensors for cutting force and vibration to monitor CNC machining processes. Students were trained to understand the working principles of sensors, data acquisition (DAQ) devices, programming, and data analysis. The development work includes: 1) part design and manufacturing process design in Siemens NX; 2) prototype the part using CNC machining; 3) integrate sensors and the DAQ system; 4) LabVIEW programming using field-programmable gate array (FPGA) and real-time techniques; 5) experiment to test the monitoring system and acquire data; and 6) digital signal processing and analysis on the experimental data. This work can support ABET accreditation for Virginia State University’s Manufacturing Engineering Program particularly for the Student Outcome of “an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgement to draw conclusion.”
Wu, Z., & Leigh-Mack, P. (2024, June), Design of a Monitoring System for CNC-Machining Processes Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/47124
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