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A Holistic Approach to Composites Quality Using Artificial Intelligence-Enabled Automatic Inspection


Title: A Holistic Approach to Composites Quality Using Artificial Intelligence-Enabled Automatic Inspection

Authors: Scott Blake

DOI: 10.33599/nasampe/s.20.0129

Abstract: The advent of automatic inspection in composites fabrication has led to great progress in inspection speed and quality, and generates a large quantity of inspection data, which can serve as a rich data source for closed-loop manufacturing. These advances represent only the first wave of innovation made feasible by this technology. Not only is automatic inspection capable of quickly verifying key features of each ply in a large component, it also can be leveraged to inspect a multitude of material, process and component attributes not included in current quality programs. By viewing inspection as part of a holistic quality solution, fabricators can transition to an approach in which they monitor in-process key performance indicators (KPIs) and adjust process parameters in real time to reduce non-conformance events. Artificial intelligence is a critical enabling technology, speeding the development of analysis algorithms for each attribute, and also employing inspection data for Deep Learning and continuous process improvement. This paper explores the range of attributes that automatic inspection may monitor, the method for incorporating this new level of monitoring into a holistic quality approach, and the ways in which a holistic quality program might advance the state of the art in composites fabrication.

References: 1. Cemenska, J., Rudberg, T., Henscheid, M., Lauletta, A., et al., “AFP Automated Inspection System Performance and Expectations,” SAE Technical Paper 2017-01-2150, 2017, DOI:10.4271/2017-01-2150. 2. Hahn, T., “Artificial Intelligence: Optimizing Industrial Operations.” The European Files 54 (2018): 30. 3. “Artificial Intelligence (AI) vs. Machine Learning vs Deep Learning.” 25 Jan 2019: 4. Black, Sara, “Improving Composites Processing with Automated Inspection.” CompositesWorld 4:2 (February 2018). 5. Saulsberry, R., “Development of a Composite Pressure Vessel Laser Profilometry and Eddy Current Scanning System to Meet Manufacturing and Analytical Needs.” NASA Engineering & Safety Center news release, 30 November 2016. 6. Black, Sara, “Improving Composites Processing with Automated Inspection, Part II.” CompositesWorld 4:6 (June 2018). 7. Potter, K., Ward, C., Crowley, D., Elkington, M., Blake, S., Whittington, D., “Real Time Gauging of Wrinkle, Shear and Bridge Formation in an Automated Composite Manufacturing Process,” presented at the Composites and Advanced Materials Expo, September 27-29, 2016 8. Blake, Scott, “Recent Advances in Artificial Intelligence Applications to Composites Fabrication,” presented at CAMX, 26 September 2019

Conference: SAMPE 2020 | Virtual Series

Publication Date: 2020/06/01

SKU: TP20-0000000129

Pages: 12

Price: FREE

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