Application of Intelligent Technology in Functional Materials Quality Control

Abstract:

The article covers an intelligent technology-based functional materials quality control process. It justifies the need for computer pattern recognition methods application in fabric analysis based on specimen digital photos taken in the course of quality control sampling. A two-level phase structure classification algorithm, that allows recognition of classes by teaching on a predefined known structures template array, is suggested. A working example is made of an algorithm application in the analysis of phase distribution on a photo of a hardened steel microsection with prescribed strength properties.

• Periodical: Materials Science Forum (Volume 870)
• Pages: 717-724
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.870.717
• Online since: September 2016
• Authors: V.Y. Stolbov*, M.B. Gitman, S.I. Sharybin
• Keywords: Functional Materials, Intelligent Recognition Technology, Microsection Photos, Phase Structure, Quality Control

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