Abstract
In order to investigate the effect of the slot ends of the melt-blowing die on the three-dimensional airflow field distribution and the fiber draft, the numerical calculation was carried out. The computational domain of the slot die was established with Gambit, and the flow field was calculated using FLUENT. Compared with the experimental data collected by a hot-wire anemometer, the numerical calculation results are credible. The results show that the slot end face has a certain influence on the three-dimensional flow field distribution under the melt-blowing die. The air velocity and temperature in the center region are quite different from those near the slot-end face. As the distance from the center of the flow field increases, the velocity and temperature on the spinning line begin to decrease. The velocity and temperature distributions of the spinning lines in the central area and nearby areas are almost the same; the temperature and velocity values on the spinning lines near the slot end are the lowest. The distribution characteristics of the three-dimensional airflow field could affect the uniformity of the fiber diameter and the meltblowing products.
Funding source: Provincial Key Laboratory of Soochow University
Award Identifier / Grant number: KJS1836
Funding source: College Innovation Project
Award Identifier / Grant number: 201701D31111186
Funding source: Scientific and Technological Innovation Programs of Higher Education Institution
Award Identifier / Grant number: 2019L0992
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: 51765063
Award Identifier / Grant number: 51365053
Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: This work was financially supported by Provincial Key Laboratory of Soochow University (KJS1836), the College Innovation Project (no. 201701D31111186), Scientific and Technological Innovation Programs of Higher Education Institution in Shanxi (no. 2019L0992) and the National Natural Science Foundation of China (grant nos. 51765063 and 51365053).
Conflict of interest statement: The authors declare that there is no conflict of interests regarding the publication of this article.
References
1. Han, W. L., Bhat, G. S., Wang, X. H. Ind. Eng. Chem. Res. 2016, 55, 3150–3156. https://doi.org/10.1021/acs.iecr.5b04472.Search in Google Scholar
2. Wang, Z. F., Macosko, C. W., Bates, F. S. Acs Appl. Mater. Inter. 2016, 8, 3006–3012. https://doi.org/10.1021/acsami.5b09976.Search in Google Scholar
3. Wang, Z. F., Bates, F. S., Kumar, S., Macosko, C. W. Chem. Eng. Sci. 2016, 146, 104–114. https://doi.org/10.1016/j.ces.2016.02.006.Search in Google Scholar
4. Harpham, A. S., Shambaugh, R. L. Ind. Eng. Chem. Res. 1996, 35, 3776–3781. https://doi.org/10.1021/ie960074c.Search in Google Scholar
5. Harpham, A. S., Shambaugh, R. L. Ind. Eng. Chem. Res. 1997, 36, 3937–3943. https://doi.org/10.1021/ie970145n.Search in Google Scholar
6. Tate, B. D., Shambaugh, R. L. Ind. Eng. Chem. Res. 2004, 43, 5405–5410. https://doi.org/10.1021/ie040066t.Search in Google Scholar
7. Wang, X. M., Ke, Q. F. Poly. Eng. Sci. 2005, 45, 1092–1097. https://doi.org/10.1002/pen.20374.Search in Google Scholar
8. Xie, S., Zeng, Y. C. Ind. Eng. Chem. Res. 2012, 51, 5346–5352. https://doi.org/10.1021/ie202938b.Search in Google Scholar
9. Xie, S., Han, W. L., Jiang, G. J., Chen, C. J. Mater. Sci. 2018, 53, 6991–7003. https://doi.org/10.1007/s10853-018-2008-y.Search in Google Scholar
10. Wang, Y. D., Ji, C. C., Zhou, J. P. E-Polymers 2019, 19, 612–621. https://doi.org/10.1515/epoly-2019-0065.Search in Google Scholar
11. Krutka, H. M., Shambaugh, R. L. Ind. Eng. Chem. Res. 2002, 41, 5125–5138. https://doi.org/10.1021/ie020366f.Search in Google Scholar
12. Krutka, H. M., Shambaugh, R. L., Papavassiliou, D. V. Ind. Eng. Chem. Res. 2003, 42, 5541–5553. https://doi.org/10.1021/ie030457s.Search in Google Scholar
13. Krutka, H. M., Shambaugh, R. L., Papavassiliou, D. V. Ind. Eng. Chem. Res. 2004, 43, 4199–4210. https://doi.org/10.1021/ie040043e.Search in Google Scholar
14. Chen, T., Wang, X. H., Huang, X. B. Text. Res. J. 2004, 74, 1018–1024. https://doi.org/10.1177/004051750407401114.Search in Google Scholar
15. Sun, Y. F., Wang, X. H. J. Text. I 2011, 102, 65–69. https://doi.org/10.1080/00405000903475805.Search in Google Scholar
16. Sun, Y. F., Wang, X. H. J. Appl. Polym. Sci. 2010, 115, 1540–1545. https://doi.org/10.1002/app.31109.Search in Google Scholar
17. Wang, Y. D., Wang, X. H. Polym. Eng. Sci. 2014, 54, 110–116. https://doi.org/10.1002/pen.23536.Search in Google Scholar
18. Wang, Y. D., Zhang, H. D., Lu, T. Y., Wang, X. H. Ind. Textila 2016, 67, 238–243.Search in Google Scholar
19. Ji, C. C., Wang, Y. D., Sun, Y. F. J. Ind. Text. 2019. https://doi.org/10.1177/1528083719866935.Search in Google Scholar
20. Uyttendaele, M. A. J., Shambaugh, R. L. AIChE J. 1990, 36, 175–186. https://doi.org/10.1002/aic.690360203.Search in Google Scholar
21. Chung, C., Kumar, S. J. Non-Newtonian Fluid 2013, 192, 37–47. https://doi.org/10.1016/j.jnnfm.2012.10.005.Search in Google Scholar
22. Bansal, V., Shambaugh, R. L. Ind. Eng. Chem. Res. 1998, 37, 1799–1806. https://doi.org/10.1021/ie9709042.Search in Google Scholar
23. Sun, G. W., Yang, J. R., Sun, X. X., Wang, X. H. Ind. Eng. Chem. Res. 2016, 55, 5431–5437. https://doi.org/10.1021/acs.iecr.6b00022.Search in Google Scholar
© 2020 Walter de Gruyter GmbH, Berlin/Boston
