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Characterization of mean grain size of interstitial-free steel based on laser ultrasonic

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Abstract

This paper investigated a novel mean grain size characterization method via laser ultrasonic. The IF steel samples with different grain sizes were conducted with different heat treatments, respectively, and each sample was observed by EBSD and tested by laser ultrasonic. The laser ultrasonic signal was decomposed by wavelet packet transform and sorted using correlation analysis. Then the optimal components were selected to reconstruct the new signal and obtain the energy attenuation coefficient. Finally, the novel mean grain size prediction model was established according to the Rayleigh scattering and absorption attenuation. These results show that the maximum prediction error could be reduced to 5.74% by our new method, which is more precise than the traditionally used methods. Our new method improves the mean grain size evaluation to a more precise level. In addition, compared with the conventional mean grain size acquisition methods, the laser ultrasonic method has the advantages of non-contact and high efficiency, and it is a nondestructive testing method which could be used in online testing.

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Acknowledgements

This work was supported by Beijing Natural Science Foundation (3182026), the National Natural Science Foundation of China (Grant No. 51604024), the Tribology Science Fund of State Key Laboratory of Tribology (Grant No. SKLTKF16B11), the Open Research Project of the State Key Laboratory of Industrial Control Technology (Grant No. ICT170344) and the Fundamental Research Funds for the Central Universities (Grant No. FRF-TP-17-002A2).

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Authors and Affiliations

  1. National Engineering Research Center of Flat Rolling Equipment, University of Science and Technology Beijing, Beijing, 100083, People’s Republic of China

    Yanjie Zhang, Xiaochen Wang, Quan Yang & Feng Dong

  2. School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, People’s Republic of China

    Xiaozhong Du

  3. Department of Mechanical Engineering, Ningbo University, Ningbo, 315211, People’s Republic of China

    Anmin Yin

  4. Center for Smart Structures and Materials, Northwestern University, Evanston, IL, 60208, USA

    Feng Dong

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  1. Yanjie Zhang
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  2. Xiaochen Wang
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  3. Quan Yang
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  4. Feng Dong
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  5. Xiaozhong Du
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  6. Anmin Yin
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Correspondence to Xiaochen Wang.

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Zhang, Y., Wang, X., Yang, Q. et al. Characterization of mean grain size of interstitial-free steel based on laser ultrasonic. J Mater Sci 53, 8510–8522 (2018). https://doi.org/10.1007/s10853-018-2038-5

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