Abstract—The material of the gas turbine blade is nickel base super alloy. When the blades are inspected the artificial evaluation can only be adopted to normal inspection due to the lack of industry benchmarks, which contributes to single indicator and large error. To solve this troublesome problem and help inspect the blades, this paper proposes a method of data analysis and processing. At first, the defects were recognized from the detected image, and then quantitation, qualification and location analysis were made from the recognized defects. Through comparing with the artificial evaluation, this method is a good one which can provide more parameters, has high accuracy and much reliability.
Index Terms—Gas turbine, image processing, defect analysis, nickel base super alloy.
The authors are with State Key Laboratory for Manufacturing Systems Engineering, Xi’an, Shaanxi Province, China (e-mail: 463915175@qq.com, 20634698@qq.com, 272282837@qq.com, 1037693177@qq.com).
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Cite: Mengqiu Gao, Bing Li, Lei Chen, and Yuegen Wang, "The Detection for Nickel Base Super Alloy Based on Ultrasonic Phased Array," International Journal of Materials, Mechanics and Manufacturing vol. 5, no. 4, pp. 241-246, 2017.
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