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Featured researches published by Li Xiongbing.


Acta Metallurgica Sinica | 2015

ULTRASONIC EVALUATION METHOD FOR GRAIN SIZE BASED ON MULTI-SCALE ATTENUATION

Li Xiongbing; Song Yongfeng; Ni Peijun; Liu Feng

To solve such problems as sensitivity to noise and low accuracy of grain size evaluation using traditional ultrasonic time-domain attenuation method, an ultrasonic nondestructive evaluation model based on multiscale attenuation coefficient was proposed. The distribution of time- scale of ultrasonic energy was obtained by means of wavelet transformation, then to calculate the distribution of attenuation coefficient with scale, and to make a comprehensive analysis of attenuation characteristics of various scales. After the weighted multi-scale ultrasonic attenuation coefficient was defined, a multi-scale ultrasonic attenuation evaluation model was established on the basis of combination of optimal dimension and normalized weight distribution strategy designed by particle swarm optimization. 304 stainless steel was used in the test. The distribution of attenuation coefficient with scaleshows that ultrasonic wave of small scales attenuates fast, presenting the frequency characteristics of ultrasonic attenuation among high scattering materials. Following increase of the sample grain size, ultrasonic attenuation of all scales was intensified significantly. Test results show that the sound velocity method, the traditional evaluation method and the proposed method have maximum systematic errors of +12.57%, +5.85% and-1.33%, respectively.With these 3 methods, evaluation results of the sample with a mean grain size of 103.5 mm measured by metallographic method are(110.4±7.8),(98.2±6.6) and(101.7±3.9) mm, respectively, showing that the presented method can not only reduce the systemic error, but also can effectively control the random error by constant Q filtering properties of wavelet transformation. This model can be extended to grain size evaluation of other metals.


Archive | 2015

Ultrasonic phased array automatic scanning device used for large-size curved-surface component

Hu Hongwei; Wang Zhe; Wang Zexiang; Li Xiongbing; Wang Xianghong; Ni Peijun; Peng Lingxing


Archive | 2014

Grain size nondestructive evaluation method based on haar wavelet

Li Xiongbing; Song Yongfeng; Tian Hongqi; Gao Guangjun; Hu Hongwei; Ni Peijun; Liu Feng; Yang Yue; Liu Xiling


Archive | 2015

Grain size ultrasonic evaluation method without influence of underwater sound distance

Li Xiongbing; Zhang Chenxin; Song Yongfeng; Tian Hongqi; Gao Guangjun; Ni Peijun; Liu Xiling


Archive | 2014

High-temperature alloy grain size evaluation method based on ultrasonic phase velocity

Li Xiongbing; Song Yongfeng; Ni Peijun; Hu Hongwei; Yang Yue; Luo Yiping; Si Jiayong; Liu Feng; Jiang Liang; Liu Xiling


Archive | 2017

Small defect ultrasonic detecting method based on extreme value distribution theory

Li Xiongbing; Song Yongfeng; Ni Peijun; Shi Yiwei; Huang Yuantian; Fu Yingdong


Archive | 2017

Ultrasonic C scanning path correcting method taking workpiece eccentric clamping errors into consideration

Li Xiongbing; Wang Xuanrun; Ni Peijun; Zhang Rongfan; Song Yongfeng


Archive | 2017

Ultrasonic attenuation evaluation method for crystal grain size of metal without influence of curved-surface diffusion

Li Xiongbing; Zhang Chenxin; Gao Guangjun; Dai Wanlin; Song Yongfeng


Archive | 2017

Ultrasonic automatic detection method capable of considering workpiece clamping error correction

Ni Peijun; Li Xiongbing; Song Yongfeng; Shi Yiwei; Huang Yuantian; Fu Yingdong


Archive | 2017

Cavity high-speed spiral milling method based on rotating auxiliary line

Li Xiongbing; Song Yongfeng; Liu Zhiping; Yi Bing

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Tian Hongqi

Central South University

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