Effect of different oxidation modes on the growth of oxide layer of TC11 titanium alloy

Li, Weiming; Yang, Zhong; Wang, Ping; Liu, Lele; Wang, Yimeng; Wang, Shaoqing; Chang, Li; Ma, Li

doi:10.1016/j.jmrt.2024.09.005

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article1

Preprint1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Mechanical and tribological characterization of wire and multi-wire arc additive manufactured thin-walled TC11 component

Jiang,

Nie,

Teng

et al. 2025

Tribology International

View full text Add to dashboard Cite

Mechanical and tribological characterization of wire and multi-wire arc additive manufactured thin-walled TC11 component

Jiang,

Nie,

Teng

et al. 2025

Tribology International

View full text Add to dashboard Cite

Prediction of oxidation resistance and mechanism study of Ti-V-Cr burn resistant titanium alloy based on machine learning

Sun,

Mi,

et al. 2024

Preprint

View full text Add to dashboard Cite

A machine learning model was developed to predict the oxidation resistance of Ti-V-Cr burn resistant titanium alloy and the natural logarithm of the parabolic oxidation rate constant (lnkp) was utilized as the model output. Four algorithms were used to train the model. The results show that the two algorithms based on multiple learners, Gradient Boosting Decision Tree (GBDT) and eXtreme Gradient Boosting (XGBoost) show better performance. The coefficient of determination R2 of the model is 0.98 and the maximum error is 6.57% and 6.40% respectively. The importance and interpretability of the input features such as the content and temperature were analyzed. It was found that the trend of the model analysis results was the same as that of the experimental conclusions, which further revealed the mechanism of the influence of element content and temperature changes on the oxidation resistance of Ti-V-Cr alloys and verified the effectiveness of the model. This study is of great significance for the discovery, prediction and quantification of new high temperature oxidation resistant Ti-V-Cr alloys.

show abstract

Effect of different oxidation modes on the growth of oxide layer of TC11 titanium alloy

Cited by 2 publications

References 45 publications

Mechanical and tribological characterization of wire and multi-wire arc additive manufactured thin-walled TC11 component

Mechanical and tribological characterization of wire and multi-wire arc additive manufactured thin-walled TC11 component

Prediction of oxidation resistance and mechanism study of Ti-V-Cr burn resistant titanium alloy based on machine learning

Contact Info

Product

Resources

About