Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Hongyan Duan"'
Publikováno v:
Metals, Vol 14, Iss 10, p 1099 (2024)
Microalloying and heat treatment are essential processing techniques for ferritic stainless steel (FSS). Three different compositions of 21%Cr FSS with 0.28Ti, 0.21Ti + 0.05Nb, and 1.05Ti + 0.17Nb were prepared. The interaction effects of the Nb and
Externí odkaz:
https://doaj.org/article/9d48d18794bd4ac8aaf106a583ca375e
Autor:
Hongyan Duan, Mengjie Cao, Lin Liu, Shunqiang Yue, Hong He, Yingjian Zhao, Zengwang Zhang, Yang liu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The low-cycle fatigue life of 316 stainless steel is a significant basis for safety assessment. Usually, many factors affect the low-cycle fatigue life of stainless steel, and the relationship between the influencing factors and fatigue life
Externí odkaz:
https://doaj.org/article/200436d4f5ff485499761c9cfcdf2c62
Publikováno v:
SAGE Open, Vol 13 (2023)
Based on the technology acceptance model (TAM), this paper discusses how the functional attributes and design characteristics of sports wearable devices affect users’ attitude and behavior. In order to estimate the relationship between variables, s
Externí odkaz:
https://doaj.org/article/a6239e532e9642e59aef10a76913914a
Publikováno v:
Thoracic Cancer, Vol 13, Iss 6, Pp 804-810 (2022)
Abstract Background Anti‐gamma aminobutyric acid B receptor (anti‐GABABR) encephalitis is a rare autoimmune neurological syndrome observed in lung cancer patients. More research on the clinical characteristics of small cell lung cancer (SCLC) and
Externí odkaz:
https://doaj.org/article/2aad09257e6e41978f4ef63b2c792157
A deep learning-based method for predicting the low-cycle fatigue life of austenitic stainless steel
Publikováno v:
Materials Research Express, Vol 10, Iss 8, p 086506 (2023)
In modern engineering, predicting the fatigue life of materials is crucial for safety assessment. The relationship between fatigue life and its influencing factors is difficult to predict by traditional methods, and deep learning can achieve great po
Externí odkaz:
https://doaj.org/article/59a4c468ef0c4df1b621d19a7e0aedad
Publikováno v:
Materials Research Express, Vol 9, Iss 7, p 076511 (2022)
The low cycle fatigue life of 304 stainless steel is an essential basis for safety assessment. Usually, there is a complex nonlinear relationship between fatigue life and influencing factors, which is difficult to be predicted by traditional fatigue
Externí odkaz:
https://doaj.org/article/a895d45763c445e68c1d32d3536a3f95
Publikováno v:
Nutrición Hospitalaria. sep/oct2023, Vol. 40 Issue 5, p1009-1016. 8p.
Publikováno v:
Hong Kong Medical Journal. 29:8-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2745b6b9af624abfe6c227561ebbfcd0
https://doi.org/10.12809/hkmj235142
https://doi.org/10.12809/hkmj235142
Publikováno v:
Ferroelectrics. 596:137-151
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12fa185bff9afa869043e9009041afb5
https://doi.org/10.1080/00150193.2022.2087256
https://doi.org/10.1080/00150193.2022.2087256
Publikováno v:
In The Journal of China Universities of Posts and Telecommunications April 2015 22(2):81-88