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Integration of E-Quality Control Modules with Engineering Computer Numerical Control Laboratory

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2011 ASEE Annual Conference & Exposition


Vancouver, BC

Publication Date

June 26, 2011

Start Date

June 26, 2011

End Date

June 29, 2011



Conference Session

Automation Subjects in Manufacturing Education

Tagged Division


Page Count


Page Numbers

22.920.1 - 22.920.14



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Paper Authors


Richard Chiou Drexel University

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Dr. Richard Chiou’s background is in mechanical engineering with an emphasis on manufacturing. Dr. Chiou is currently an associate professor in the Goodwin School of Technology and Professional Studies at Drexel University. His areas of research include machining, mechatronics, and internet based robotics and automation. He has secured many research and education grants from the NSF, the SME Education Foundation, and industries.

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Yalcin Ertekin Drexel University, Engineering Technology

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Dr. Ertekin received his B.S. degree in mechanical engineering from Istanbul Technical University. He attended the Business School of Istanbul University and received an M.S. degree in Production Management. After working for Chrysler Truck Manufacturing Company in Turkey as a project engineer, he received dual M.S. degrees in engineering management and mechanical engineering from Missouri University of Science and Technology (MS&T), formerly the University of Missouri, Rolla. He worked for Toyota Motor Corporation as a quality assurance engineer for two years and lived in Toyota City, Japan. He received his Ph.D. in mechanical engineering from MS&T in 1999 while he worked as a quality engineer for Lumbee Enterprises in St. Louis, Missouri. He was a faculty member at Trine University teaching mainly graduate courses in engineering technology and mechanical engineering. Dr. Ertekin’s area of expertise is in CAD/CAM, Computer Numerical Control (CNC) machining and quality control. His research interest includes sensor based condition monitoring of CNC machining, machine tool accuracy characterization and enhancement, non-invasive surgical tool design and bio materials.

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Michael G Mauk P.E. Drexel University


Robin Kizirian Drexel University

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Robin Kizirian completed his M.S. degree in Computer Engineering at Drexel University in Philadelphia and his B.S. degree in Computer Engineering with a minor in Computer Science at the University of Hartford in Connecticut. He is currently serving as a research assistant at the Engineering Technology department at Drexel University. Robin has been involved in various projects funded by Pfizer, NASA, NSF and Department of Education. His areas of research include Embedded Systems, Mechatronics, Efficient Solar Energy Systems, Internet-based Quality Control and 3-D Online Education.

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AbstractThe paper presents a major novelty in the integration of multidisciplinary web-basedquality control topics into the advanced manufacturing engineering technology as theexisting core discipline. This is aligned with a current trend for manufacturing industry,which includes remote monitoring/control/diagnosis, product miniaturization, highprecision, zero-defect manufacturing and information-integrated distributed productionsystems. The use of modern sensors and data acquisition instrumentation formanufacturing processes is implemented into computer numerical control (CNC)laboratory practices in undergraduate classes for Web-based measurement, inspection,diagnostic system, and quality control at Drexel University. The network hardware andsoftware components are integrated with quality methodologies to achieve maximumeffectiveness in teaching Web-based quality concepts in MET 316 CNC. In MET 316, a10-week upper-level undergraduate course was offered that included a classroomcomponent presenting lectures on CNC integrated with quality control principles andmethods, combined with hands-on laboratory sessions. The class includes productmanufacture and quality assessment measurements to support statistical data analysis in aquality control framework. Students made various measurements of CNC-machined partsusing a coordinate measuring machine (CMM), machine vision (i.e., a charge coupleddevice (CCD) camera with image processing software), and laser scanning. Students thenanalyzed measurement data to compare measurement techniques (Gage R&R), establishpart variations, correlate quality metrics with process parameters, and optimize the CNCmachining process.

Chiou, R., & Ertekin, Y., & Mauk, M. G., & Kizirian, R. (2011, June), Integration of E-Quality Control Modules with Engineering Computer Numerical Control Laboratory Paper presented at 2011 ASEE Annual Conference & Exposition, Vancouver, BC. 10.18260/1-2--18824

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