Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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Dive into the research topics where Cuiling Zhao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Research output
- 20 Article
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Microstructure evolution and enhanced corrosion resistance of additively manufactured 316L/18Ni300 multi-material parts by process optimization and heat treatment
Zhao, C., Bai, Y., Yan, Q., Guo, Y., Liu, Y. & Li, B., 1 Jan 2026, In: Journal of Materials Research and Technology. 40, p. 1882-1895 14 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
Enhanced corrosion resistance of laser powder bed fusion 316L stainless steel by modifying the microstructure through heat treatment
Zhao, C., Bai, Y., Yan, Q. & Li, B., 1 May 2025, In: Journal of Materials Research and Technology. 36, p. 7158-7171 14 p.Research output: Contribution to journal › Article › peer-review
Open Access10 Link opens in a new tab Scopus citations -
Enhanced strength of A131 steel via heterostructures induced by laser-directed energy deposition
Bai, Y., Zhang, S., Yan, Q., Zhao, C. & Zhan, J., 29 Aug 2025, In: Materials Science in Additive Manufacturing. 4, 3, 025220038.Research output: Contribution to journal › Article › peer-review
Open Access -
Microstructure and mechanical property evolution of 316L/18Ni300 bimetallic structure manufactured by laser powder bed fusion
Bai, Y., Yan, Y., Chen, J., Liang, C., Bi, G. & Zhao, C., May 2025, In: Materials Science and Engineering: A. 929, 148141.Research output: Contribution to journal › Article › peer-review
13 Link opens in a new tab Scopus citations -
Prediction of Surface Roughness in Milling Additively Manufactured High-Strength Maraging Steel Using Broad Learning System
Zhao, C., Tian, W., Yan, Q. & Bai, Y., May 2025, In: Coatings. 15, 5, 566.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations