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Dianyin Hu on Muck Rack

Dianyin Hu

As seen in: Wiley Online Library, MDPI, Mechanical Engineering Magazine
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Articles

Fatigue Short Crack Growth Prediction of Additively Manufactured Alloy Based on Ensemble Learning

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By Qinghui Huang, Dianyin Hu, Rongqiao Wang, Ivan Sergeichev
| Wiley Online Library Verified
References 1, , , and , “Additive Manufacturing of Metals,” Acta Materialia 117 (2016): 371–392, https://doi.org/10.1016/j.actamat.2016.07.019. 2, , and , “Additive Manufacturing: A Framework for Implementation,” International Journal of Production Economics 149 (2014): 194–201, https://doi.org/10.1016/j.ijpe.2013.07.008.
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An Efficient Approach for Parametric Modeling and Prediction of the Hollow Blade Manufacture Shape

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By Xiaojie Zhang, Weiyu Chen, Dianyin Hu, Rongqiao Wang
| MDPI
1. Introduction Modern aeroengines pursue higher thrust-to-weight ratios, better aerodynamic performance, and stronger structural strength, which impose new requirements on materials, aerodynamic layout, structural design, and manufacturing processes.
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Crack Growth Behavior of Full-Scale Turbine Attachment Under Combined High and Low Cycle Fatigue

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By Lin Yan, Ye Gao, Dianyin Hu, Jianxing Mao
| Mechanical Engineering Magazine Verified
Hu, D. , Meng, F. , Liu, H. , Song, J. , and Wang, R. , 2016, “ Experimental Investigation of Fatigue Crack Growth Behavior of GH2036 Under Combined High and Low Cycle Fatigue,” Int. J. Fatigue., 85, pp. 1–10. [CrossRef] Padula, S. A. , II , Shyam, A. , Ritchie, R. O. , and Milligan, W. W. , 1999, “ High Frequency Fatigue Crack Propagation Behavior of a Nickel-Base Turbine Disk Alloy,” Int. J. Fatigue, 21(7), pp. 725–731. [CrossRef] Hu, D. , Yang, Q. , Liu, H. , Mao, J. , Meng, F. , Wang, Y. , Ren, M. , and Wang, R.
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