steel research international
© WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
Online ISSN: 1869-344X
Materials Science Weekly Newsletter
Recently Published Articles
- γ Grain Memory in X12CrMoWVNbN10-1-1 Steel
Xingang Tao, Lizhan Han and Jianfeng Gu
Article first published online: 6 JUL 2015 | DOI: 10.1002/srin.201500132
γ grain memory of X12CrMoWVNbN10-1-1 steel is investigated in order to clarify its mechanism from the viewpoint of the roles of retained γ. “Isothermal transformation” is proposed to suppress the γ grain memory. It is demonstrated that the γ grain memory can be suppressed by decreasing the volume fraction of retained γ before reheating.
- The Impact of Hot Rolling Temperature after Reheating in the New Generation Strip Casting Process on Structure-Property Relationship in Extra-Low Carbon Steel
Hai-Tao Liu, Dong-Jie Chen, Bao-Guang Zhang, Hua-Long Li, Ai-Hua Chen, Lei Li, Guo-Dong Wang and R. Devesh Kumar Misra
Article first published online: 2 JUL 2015 | DOI: 10.1002/srin.201500128
The effects of rolling temperature after reheating on the structure-property relation in strip-cast extra-low carbon steel are investigated in detail. The present study underscores that a good combination of yield strength and elongation that is comparable to conventional hot rolled sheets can be successfully obtained through optimization of hot rolling temperature after reheating in the strip casting process.
- Mechanism Study of the Blocking of Ladle Well Due to Sintering of Filler Sand
Zhiyin Deng, Björn Glaser, Marc André Bombeck and Du Sichen
Article first published online: 29 JUN 2015 | DOI: 10.1002/srin.201500118
Laboratory experiments were carried out to study the mechanism of the blocking of ladle well by filler sand. The interaction between the liquid steel and the sand was also studied by using steel grades containing different contents of Mn and Al. The effects of sand size, sand composition, and liquid steel composition on the sintering were discussed.
- BOF Process Control and Slopping Prediction Based on Multivariate Data Analysis
Mats Brämming, Bo Björkman and Caisa Samuelsson
Article first published online: 26 JUN 2015 | DOI: 10.1002/srin.201500040
Multivariate data analysis (MVDA) methods have been applied on the top-blown BOF steelmaking process, with the main aim to create industrially applicable static (i.e., prior to blow), as well as dynamic in-blow batch models for predicting the slopping probability. The MVDA approach has also been investigated in regard to in-blow prediction of end-of-blow phosphorous content.
- Effects of Ti–Al Complex Deoxidization Inclusions on Nucleation of Intragranular Acicular Ferrite in C–Mn Steel
Qi Huang, Xinhua Wang, Min Jiang, Zhiyong Hu and Chengwei Yang
Article first published online: 24 JUN 2015 | DOI: 10.1002/srin.201500088
The current work investigates the influences of Al and Ti contents on IAF formation. The results show that the Al should be controlled as low as possible for the effectiveness of inclusion nucleating IAF. While Ti should be appropriately controlled at medium level in order to distribute the inclusion size in optimum zone to obtain well-developed microstructures of IAF.