An ultrasonic method of evaluation of TC4 primary α-phase grain size towards mapping monotonicity

DONG Jinlong; CHEN Hao; CHEN Xi; WU Guanhua; ZHOU Zhenggan; LI Changyong

doi:10.7527/S1000-6893.2018.22360

ACTA AERONAUTICAET ASTRONAUTICA SINICA >

2018 , Vol. 39 >Issue 12: 422360 - 422360

DOI: https://doi.org/10.7527/S1000-6893.2018.22360

Material Engineering and Mechanical Manufacturing

An ultrasonic method of evaluation of TC4 primary α-phase grain size towards mapping monotonicity

DONG Jinlong ,
CHEN Hao ,
CHEN Xi ,
WU Guanhua ,
ZHOU Zhenggan ,
LI Changyong

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1. Key Laboratory of Nondestructive Test of Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China;
2. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;
3. AECC Shenyang Liming Aero-Engine Co., LTD. Shenyang 110043, China

Received date: 2018-05-22

Revised date: 2018-06-11

Online published: 2018-07-23

Supported by

National Natural Science Foundation of China (61772255);Jiangxi Innovation Drives "5511" Project Advantage Discipline Innovation Team (20165BCB19007);Superior Science and Technology Innovation Team Project of Jiangxi Province (20152BCB24004);Non-Destructive Testing Technology Ministry of Education Key Laboratory (Nanchang Hangkong University) Open Fund (ZD201529004); Science and Technology Agency Science and Technology Project of Jiangxi province (20161BBG70047,20161BAB202038);Key Laboratory of Image Processing and Pattern Recognition in Jiangxi Province Open Fund (ET201604246)

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Abstract

The addition of complex information in the microstructure of the tested object increases the difficulty to establish an effective evaluation curve with minimized errors. To solve this problem, this paper proposes a monotonicity-oriented method of ultrasonic evaluation of α-phase grain size of TC4 titanium alloy. Based on the correlation measure, effective parameters are selected from multiple ultrasonic parameters, and the mapping function is reduced to a single-dimensional parameter and normalized to fit the primary α phase once, constructing a optimization problem of reaching maximized monotonicity where the sample points of feature parameter are successively positive or negative. The problem is solved with the self-adaptive differential evolution (SADE) algorithm to find the most ideal mapping function and fitting function coefficient, finally establishing the monotonicity based on multi-parameter model for ultrasonic evaluation. The experimental results show that the evaluation effect of the established model is more significant than that of the error-oriented evaluation model because it considers the importance of monotonicity. Compared with the single-parameter ultrasonic velocity method, the attenuation coefficient method and the nonlinear coefficient method, the established model contains smaller error, better monotonicity, more stable performance and higher accuracy of evaluation.

Key words： TC4 titanium alloy; grain size; monotonicity; ultrasonic evaluation; self-adaptive differential evolution algorithm

Cite this article

DONG Jinlong , CHEN Hao , CHEN Xi , WU Guanhua , ZHOU Zhenggan , LI Changyong . An ultrasonic method of evaluation of TC4 primary α-phase grain size towards mapping monotonicity[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018 , 39(12) : 422360 -422360 . DOI: 10.7527/S1000-6893.2018.22360

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