Ultrasonic Sensor Signals and Optimum Path Forest Classifier for the Microstructural Characterization of Thermally-Aged Inconel 625 Alloy

被引:18
|
作者
de Albuquerque, Victor Hugo C. [1 ]
Barbosa, Cleisson V. [1 ]
Silva, Cleiton C. [2 ]
Moura, Elineudo P. [2 ]
Reboucas Filho, Pedro P. [3 ]
Papa, Joao P. [4 ]
Tavares, Joao Manuel R. S. [5 ]
机构
[1] Univ Fortaleza, Programa Posgrad Informat Aplicada, BR-60811905 Fortaleza, Ceara, Brazil
[2] Univ Fed Ceara, Dept Engn Met & Mat, BR-60455900 Fortaleza, Ceara, Brazil
[3] Inst Fed Educ Ciencia & Tecnol Ceara, Programa Posgrad Ciencias Comp, BR-61939140 Fortaleza, Ceara, Brazil
[4] Univ Estadual Paulista, Dept Ciencia Comp, BR-17033360 Sao Paulo, Brazil
[5] Univ Porto, Fac Engn, Inst Ciencia & Inovacao Engn Mecan & Engn Ind, Dept Engn Mecan, P-4200465 Oporto, Portugal
关键词
ultrasonic sensor; metric function; optimum path forest; signal classification; microstructural characterization; NONDESTRUCTIVE CHARACTERIZATION; PHASE;
D O I
10.3390/s150612474
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Secondary phases, such as laves and carbides, are formed during the final solidification stages of nickel-based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can precipitate in the microstructure, like the gamma" and delta phases. This work presents an evaluation of the powerful optimum path forest (OPF) classifier configured with six distance functions to classify background echo and backscattered ultrasonic signals from samples of the inconel 625 superalloy thermally aged at 650 and 950 degrees C for 10, 100 and 200 h. The background echo and backscattered ultrasonic signals were acquired using transducers with frequencies of 4 and 5 MHz. The potentiality of ultrasonic sensor signals combined with the OPF to characterize the microstructures of an inconel 625 thermally aged and in the as-welded condition were confirmed by the results. The experimental results revealed that the OPF classifier is sufficiently fast (classification total time of 0.316 ms) and accurate (accuracy of 88.75% and harmonic mean of 89.52) for the application proposed.
引用
收藏
页码:12474 / 12497
页数:24
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    Marinho, Leandro B.
    Reboucas Filho, Pedro P.
    de Albuquerque, Victor Hugo C.
    COMPUTERS IN INDUSTRY, 2019, 107 : 1 - 10