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| 2022, Vol. 39(2): 1-8 DOI: 10.13353/j.issn.1004.9533.20210329 | ||
| Forecast of in-line blade-screen high shear mixer's performance based on machine learning | ||
| WANG Lingjie1, GUO Junheng1, LI Wenpeng2, CHENG Qin3, ZHANG Jinli1 | ||
| 1. School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; 2. School of Chemical Engineering and Technology, Zhengzhou University, Zhengzhou 450000, China; 3. College of Chemistry & Chemical Engineering, Anhui University, Hefei 230601, China |
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| Received 2021-03-30 Revised 2021-05-12 | ||
| Supporting info | ||
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