WeChat Mini Program
Old Version Features

Microstructure Characteristics and Oxidation Behavior of a Dense Si-Cr-Fe-Ti Coating with a Multi-Layer Structure on Nb-Si Based Alloy by Slurry Sintering

CORROSION SCIENCE(2025)

Northwestern Polytech Univ

Cited 0|Views9
Abstract
A dense and multilayered Si-Cr-Fe-Ti coating was prepared on Nb-Si based alloy by slurry sintering. The oxidation behavior of the coating at 1250, 1350 and 1450 degrees C were systematically investigated. The coating exhibits good oxidation resistance at high temperatures, forming dense and multi-layer scales after oxidation at 1250 degrees C similar to 1350 degrees C, while forming a dense glassy silica scale at 1450 degrees C. The addition of a certain amount of Ti and Fe is beneficial for the formation and stability of the Cr2TiO5 middle layer, thus effectively inhibiting the further oxidation of Cr2O3 to volatile CrO3.
More
Translated text
Key words
Nb-Si based alloy,Slurry sintering,Silicide coating,Oxidation
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined