advanced

Editorial for special issue on metallurgical process engineering and intelligent manufacturing
An-jun Xu, Yan-ping Bao
2021,vol. 28,no.8pp. 1249-1252. https://doi.org/10.1007/s12613-021-2333-z
[FullText HTML] [PDF] SpringerLink
Review on the study of metallurgical process engineering
Rui-yu Yin
2021,vol. 28,no.8pp. 1253-1263. https://doi.org/10.1007/s12613-020-2220-z
[FullText HTML] [PDF] SpringerLink
Consideration of green intelligent steel processes and narrow window stability control technology on steel quality
Lu Lin, Jia-qing Zeng
2021,vol. 28,no.8pp. 1264-1273. https://doi.org/10.1007/s12613-020-2246-2
[FullText HTML] [PDF] SpringerLink
Operation optimization of the steel manufacturing process: A brief review
Zhao-jun Xu, Zhong Zheng, Xiao-qiang Gao
2021,vol. 28,no.8pp. 1274-1287. https://doi.org/10.1007/s12613-021-2273-7
[FullText HTML] [PDF] SpringerLink
Mn evaporation and denitrification behaviors of molten Mn steel in the vacuum refining with slag process
Jian-hua Chu, Yan-ping Bao
2021,vol. 28,no.8pp. 1288-1297. https://doi.org/10.1007/s12613-021-2311-5
[FullText HTML] [PDF] SpringerLink
Dynamic mass variation and multiphase interaction among steel, slag, lining refractory and nonmetallic inclusions: Laboratory experiments and mathematical prediction
Ju-jin Wang, Li-feng Zhang, Gong Cheng, Qiang Ren, Ying Ren
2021,vol. 28,no.8pp. 1298-1308. https://doi.org/10.1007/s12613-021-2304-4
[FullText HTML] [PDF] SpringerLink
Prediction of the Charpy V-notch impact energy of low carbon steel using a shallow neural network and deep learning
Si-wei Wu, Jian Yang, Guang-ming Cao
2021,vol. 28,no.8pp. 1309-1320. https://doi.org/10.1007/s12613-020-2168-z
[FullText HTML] [PDF] SpringerLink
Development of an improved CBR model for predicting steel temperature in ladle furnace refining
Fei Yuan, An-jun Xu, Mao-qiang Gu
2021,vol. 28,no.8pp. 1321-1331. https://doi.org/10.1007/s12613-020-2234-6
[FullText HTML] [PDF] SpringerLink
Multi-objective quality control method for cold-rolled products oriented to customized requirements
Yi-fan Yan, Zhi-min Lü
2021,vol. 28,no.8pp. 1332-1342. https://doi.org/10.1007/s12613-021-2292-4
[FullText HTML] [PDF] SpringerLink
Multiproduct and multistage integrated production planning model and algorithm based on an available production capacity network
Zhi-min Lü, Tian-ru Jiang, Zai-wei Li
2021,vol. 28,no.8pp. 1343-1352. https://doi.org/10.1007/s12613-021-2310-6
[FullText HTML] [PDF] SpringerLink
Quantitative evaluation of multi-process collaborative operation in steelmaking–continuous casting sections
Jian-ping Yang, Qing Liu, Wei-da Guo, Jun-guo Zhang
2021,vol. 28,no.8pp. 1353-1366. https://doi.org/10.1007/s12613-020-2227-5
[FullText HTML] [PDF] SpringerLink
Intelligent logistics system of steel bar warehouse based on ubiquitous information
Hai-nan He, Xiao-chen Wang, Gong-zhuang Peng, Dong Xu, Yang Liu, Min Jiang, Ze-dong Wu, Da Zhang, He Yan
2021,vol. 28,no.8pp. 1367-1377. https://doi.org/10.1007/s12613-021-2325-z
[FullText HTML] [PDF] SpringerLink
Multi-energy synergistic optimization in steelmaking process based on energy hub concept
Shuai Liu, Sheng Xie, Qi Zhang
2021,vol. 28,no.8pp. 1378-1386. https://doi.org/10.1007/s12613-021-2281-7
[FullText HTML] [PDF] SpringerLink
Visualization and simulation of steel metallurgy processes
Te Xu, Guang Song, Yang Yang, Pei-xin Ge, Li-xin Tang
2021,vol. 28,no.8pp. 1387-1396. https://doi.org/10.1007/s12613-021-2283-5
[FullText HTML] [PDF] SpringerLink