Integration of E-Quality Control Modules with Engineering Computer Numerical Control Laboratory
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| Publicado en: | Association for Engineering Education - Engineering Library Division Papers (Jun 26, 2011), p. 22.920.1 |
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| Outros autores: | , , |
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American Society for Engineering Education-ASEE
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| Acceso en liña: | Citation/Abstract Full text outside of ProQuest |
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| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 2317744552 | ||
| 003 | UK-CbPIL | ||
| 035 | |a 2317744552 | ||
| 045 | 0 | |b d20110626 | |
| 100 | 1 | |a Chiou, Richard | |
| 245 | 1 | |a Integration of E-Quality Control Modules with Engineering Computer Numerical Control Laboratory | |
| 260 | |b American Society for Engineering Education-ASEE |c Jun 26, 2011 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a The 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. | |
| 653 | |a Data analysis | ||
| 653 | |a Quality assessment | ||
| 653 | |a Machine vision | ||
| 653 | |a Quality control | ||
| 653 | |a Inspection | ||
| 653 | |a Coordinate measuring machines | ||
| 653 | |a Remote control | ||
| 653 | |a Remote monitoring | ||
| 653 | |a Measurement techniques | ||
| 653 | |a Diagnostic systems | ||
| 653 | |a Manufacturing engineering | ||
| 653 | |a Image processing | ||
| 653 | |a Miniaturization | ||
| 653 | |a Students | ||
| 653 | |a Process parameters | ||
| 653 | |a Control equipment | ||
| 653 | |a Numerical controls | ||
| 653 | |a Manufacturing | ||
| 653 | |a Data processing | ||
| 653 | |a Laboratories | ||
| 653 | |a Teaching | ||
| 653 | |a Medical diagnosis | ||
| 653 | |a Engineering | ||
| 653 | |a Data quality | ||
| 653 | |a Measurement | ||
| 653 | |a Lectures | ||
| 653 | |a Interdisciplinary aspects | ||
| 700 | 1 | |a Ertekin, Yalcin | |
| 700 | 1 | |a Mauk, Michael G | |
| 700 | 1 | |a Kizirian, Robin | |
| 773 | 0 | |t Association for Engineering Education - Engineering Library Division Papers |g (Jun 26, 2011), p. 22.920.1 | |
| 786 | 0 | |d ProQuest |t Library Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2317744552/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u https://peer.asee.org/integration-of-e-quality-control-modules-with-engineering-computer-numerical-control-laboratory |