文献类型：期刊文献

英文题名：Effect of tempering on bending-induced material strength inhomogeneity in hydrogenation reactor shells

作者：Li, You[1];Chen, Zhiping[1];Li, Hongfei[1];Liu, Mengjie[1];Miao, Hao[1];Huang, Song[2]

机构：[1]Zhejiang Univ, Inst Proc Equipment, 38 Zheda Rd, Hangzhou 310027, Zhejiang, Peoples R China;[2]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China

年份：2022

卷号：195

外文期刊名：INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING

收录：;EI(收录号：20215011320111);WOS:【SCI-EXPANDED(收录号:WOS:000807801700002)】；

基金：Acknowledgments This work is supported by National Natural Science Foundation of China (Grant No. 51905173) . Besides, we sincerely thank Peng Jiao for his help in this work.

语种：英文

外文关键词：Tempering; Hydrogenation reactor; 2; 25Cr-1Mo-0; 25V steel; Artificial neural network; Material strength distribution

摘要：Bending forming causes significant inhomogeneous material strength distribution (MSD) in hydrogenation reactor shells. Tempering can improve this problem before the long-term service of hydrogenation reactors, but its effect is still unclear. In this work, we investigated the impact of tempering on the material strength in homogeneity in hydrogenation reactor shells. First, 650 C plastic deformation as well as 705 C x 8 h tempering was performed on 2.25Cr-1Mo-0.25V tensile specimens. Yield strength (YS) and ultimate tensile strength (UTS) of these specimens were measured. Then, an artificial neural network (ANN) was constructed based on the experimental results, and it was further utilized to establish MSD prediction model that can predict actual MSDs in ring shells before and after tempering. Thereafter, the tempering effect was discussed in details via comparing predicted MSDs in un-tempered and final reactor shells. At last, the tensile specimens were also observed by scanning electron microscope (SEM). Image identification technology was applied in obtained SEM profiles to quantitatively analyze size and number of carbides. Results showed that the maximal absolute relative errors were 4.97% and 7.89% for ANN and MSD predictor, respectively. The coarsening behavior of carbides could explain the discrepancy in strength after tempering between 2.25Cr-1Mo-0.25V steels with different warm deformation extents. This work will contribute to the lightweight design of hydrogenation reactors.