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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Canals, L., Badreddine, J., McGillivray, B., Miao, H. Y., & Lévesque, M. (2019). Effect of vibratory peening on the sub-surface layer of aerospace materials Ti-6Al-4V and E-16NiCrMo13. Journal of Materials Processing Technology, 264, 91-106. External link
Demenois, M., Miao, H. Y., & Gosselin, F. (2023). Easy to build, modular and large scale pipe conveying fluid experimental setup. HardwareX, 15, e00460 (30 pages). External link
Faucheux, P. A., Miao, H. Y., Lévesque, M., & Gosselin, F. (2022). Peen forming and stress peen forming of rectangular 2024-T3 aluminium sheets: Curvatures, natural curvatures and residual stresses. Strain, 58(2), e12405 (24 pages). External link
Klotz, T., Miao, H. Y., Bianchetti, C., Lévesque, M., & Brochu, M. (2018). Analytical fatigue life prediction of shot peened Inconel 718. International Journal of Fatigue, 113, 204-221. External link
Miao, H. Y., Lévesque, M., & Gosselin, F. (2022). Shot peen forming pattern optimization to achieve cylindrical and saddle target shapes: The inverse problem. CIRP Journal of Manufacturing Science and Technology, 36, 67-77. External link
Miao, H. Y. (2010). Numerical and Theoretical Study of Shot Peening and Stress Peen Forming Process [Ph.D. thesis, École Polytechnique de Montréal]. Available
Paques, M., Chakraborty, A., Changeux, B., Miao, H. Y., Muhammad, W., Turenne, S., Inal, K., & Martin, É. (2024). Comparative assessment of Ti-6Al-4 V titanium alloy fatigue life improvement by vibratory peening, shot peening, and vibratory finishing. Fatigue & Fracture of Engineering Materials & Structures, 14447 (19 pages). External link
Sushitskii, V., Miao, H. Y., Lévesque, M., & Gosselin, F. (2024). Segmentation of peen forming patterns using k-means clustering. Journal of Manufacturing Processes, 119, 867-877. External link
Sushitskii, V., Dubois, P.-O., Miao, H. Y., Lévesque, M., & Gosselin, F. (2024). Simulation and automation of aluminum panel shot peen forming. International Journal of Material Forming, 17(3), 21-21. External link