Modeling of shot-peening effects on the surface properties of a (TiB + TiC)/Ti–6Al–4V composite employing artificial neural networks
Author:
Publisher
Institute of Metals and Technology
Subject
Metals and Alloys,Polymers and Plastics
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fatigue strength improvement in Ti-6Al-4V subjected to foreign object damage by combined treatment of laser shock peening and shot peening;International Journal of Fatigue;2022-02
2. Generalized two-dimensional principal component analysis and two artificial neural network models to detect traveling ionospheric disturbances;Natural Hazards;2021-11-01
3. Residual stress relaxation and re-shot-peening process of wet shot-peened titanium alloy during tensile fatigue load;CAILIAO GONGCHENG;2020
4. Detecting Total Electron Content Precursors Before Earthquakes by Examining Total Electron Content Images Based on Butterworth Filter in Convolutional Neural Networks;IEEE Access;2020
5. Investigation through Artificial Neural Networks on the Influence of Shot Peening on the Hardness of ASTM TX304HB Stainless Steel;Journal of Testing and Evaluation;2019-05-08
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