stress relaxation behavior and its prediction of crmowv steel

Clicks: 323
ID: 144107
2017
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #7 of 52 articles by views in adsorption science and technology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
The stress relaxation data up to 8760h at 550℃ and 600℃of 12Cr-1Mo-1W-0.25V heat-resistant steel were used as the object to study the method of how to accurately and effectively predict long-term relaxation stress by using short-time relaxation data. When relaxation model is used to extrapolate the long-term relaxation stress directly, it is found that the parameters of the relaxation model depend on the length of the fitted data. The time-dependent parameter model, naming as timing parameter method, is proposed to predict the long-term relaxation stress with high accuracy. By comparison of the results of timing parameter method and direct extrapolation method, timing parameter method has obvious advantages in predicting long time relaxation stress with short time relaxation data, as the timing parameter method has a more accurate prediction than that of direct extrapolation method.
Reference Key
tie-shan2017journalstress Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;CAO Tie-shan;CHENG Cong-qian;ZHU Yue-mei;ZHANG Hong-wei;LIU Song-feng;ZHAO Jie
Journal adsorption science and technology
Year 2017
DOI
10.11868/j.issn.1001-4381.2015.000508
URL
http://jme.biam.ac.cn/CN/Y2017/V45/I5/106
Keywords
stress relaxation mechanics of materials predictionmaterials of engineering and construction

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.