Effect of Carbon and Titanium Variations in Fe‐Based Heat‐Resistant Superalloy A286 on TiC and η Phase Formation-Reference-Cited by-同舟云学术

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Effect of Carbon and Titanium Variations in Fe‐Based Heat‐Resistant Superalloy A286 on TiC and η Phase Formation

Published:2022-01-02 Issue: Volume: Page:2100390
ISSN:1611-3683
Container-title:steel research international
language:en
Short-container-title:steel research int.

Author:

Qurashi Muhammad Saqlain¹,Zhao Yajun¹^ORCID,Dong Chuang¹,Zhang Xiaoyang¹,Wang Lianchao²,Li Ying²,Wan Peng³

Affiliation:

1. Department of Materials Science and Engineering Dalian Jiaotong University Dalian 116028 P. R. China

2. Dongbei Special Steel Group Co., Ltd. Dalian 116105 P. R. China

3. Foshan Shunde Midea Electro-thermal Appliances Manufacturing Co., Ltd. Foshan 528300 P. R. China

Publisher

Wiley

Subject

Materials Chemistry,Metals and Alloys,Physical and Theoretical Chemistry,Condensed Matter Physics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/srin.202100390

Reference30 articles.

1. Effect of boron addition on hydrogen embrittlement sensitivity in Fe–Ni based alloys

2. The modified surface properties and fatigue life of Incoloy A286 face-milled at different cutting parameters

3. C. M.Bradley M.S. Thesis University of Texas El Paso 2009.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning approaches for predicting mechanical properties in additive manufactured lattice structures;Materials Today Communications;2024-08

2. Wire Based Directed Energy Deposition of JBK-75;Metallurgical and Materials Transactions A;2024-02-22

3. Carbon and Titanium Effect on Tensile Behavior of Aged A286 Nickel-Iron Based Superalloy;Key Engineering Materials;2023-10-13

4. Influence of η-(Ni3Ti) and TiC phases on corrosion resistance and mechanical properties of A286 austenitic superalloy after heat treatment;International Journal of Electrochemical Science;2023-07

5. Prediction and optimization of mechanical properties of Ni based and Fe–Ni based super alloys via neural network approach with alloying composition parameter;Journal of Materials Research and Technology;2023-05

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