更正:基于机器学习的热障涂层工艺质量诊断

IF 3.2 3区 材料科学 Q2 MATERIALS SCIENCE, COATINGS & FILMS
Dongjie Sun, Qing He, Zhi Huang
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引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correction to: Machine Learning-Based Diagnosis of Thermal Barrier Coating Process Quality
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来源期刊
Journal of Thermal Spray Technology
Journal of Thermal Spray Technology 工程技术-材料科学:膜
CiteScore
5.20
自引率
25.80%
发文量
198
审稿时长
2.6 months
期刊介绍: From the scientific to the practical, stay on top of advances in this fast-growing coating technology with ASM International''s Journal of Thermal Spray Technology. Critically reviewed scientific papers and engineering articles combine the best of new research with the latest applications and problem solving. A service of the ASM Thermal Spray Society (TSS), the Journal of Thermal Spray Technology covers all fundamental and practical aspects of thermal spray science, including processes, feedstock manufacture, and testing and characterization. The journal contains worldwide coverage of the latest research, products, equipment and process developments, and includes technical note case studies from real-time applications and in-depth topical reviews.
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