Mathematical model for droplet size prediction of gas-water nozzle based on orthogonal experiment
In order to understand the influence of process parameters and structural parameters of internal mixing gas-water nozzle on atomization characteristics, based on a self-designed experimental platform for atomization characteristics, the influence of air supply pressure, water supply pressure, gas-wa...
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Editorial Office of Safety in Coal Mines
2025-01-01
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| Series: | Meikuang Anquan |
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| Online Access: | https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20231556 |
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| author | Xin WANG Wenpu LI He SHAO Yiyi ZHENG Yurong GAO Xi CHEN |
| author_facet | Xin WANG Wenpu LI He SHAO Yiyi ZHENG Yurong GAO Xi CHEN |
| author_sort | Xin WANG |
| collection | DOAJ |
| description | In order to understand the influence of process parameters and structural parameters of internal mixing gas-water nozzle on atomization characteristics, based on a self-designed experimental platform for atomization characteristics, the influence of air supply pressure, water supply pressure, gas-water convergence angle, mixing chamber length and outlet size on atomization characteristics was quantitatively analyzed by orthogonal experiment method, and then a prediction model of nozzle droplet Sauter mean diameter (SMD) was established by using multivariate nonlinear regression method. The experimental results show that the gas flow rate increases with the increase of gas supply pressure, gas-water convergence angle and outlet size, and decreases with the increase of water supply pressure. The water flow rate increases with the increase of water supply pressure and outlet size, and decreases with the increase of water supply pressure and confluence angle. The change of mixing chamber length has no significant effect on gas-water flow. SMD increases with the increase of water supply pressure and outlet size, but decreases with the increase of gas supply pressure, convergence angle and mixing cavity length. The order of the importance of each parameter on nozzle droplet size is outlet size > gas supply pressure > water supply pressure > gas-water convergence angle > mixing cavity length. The calculated values of the multivariate nonlinear prediction model are consistent with the experimental results, and the average relative error is 8.0%, which can be used to predict the droplet size of air atomization nozzle. |
| format | Article |
| id | doaj-art-c2880ab4ad2446599e8694aa665c3d9a |
| institution | Kabale University |
| issn | 1003-496X |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Editorial Office of Safety in Coal Mines |
| record_format | Article |
| series | Meikuang Anquan |
| spelling | doaj-art-c2880ab4ad2446599e8694aa665c3d9a2025-01-15T04:32:08ZzhoEditorial Office of Safety in Coal MinesMeikuang Anquan1003-496X2025-01-01561727810.13347/j.cnki.mkaq.20231556lyMKAQ20231556Mathematical model for droplet size prediction of gas-water nozzle based on orthogonal experimentXin WANG0Wenpu LI1He SHAO2Yiyi ZHENG3Yurong GAO4Xi CHEN5School of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaIn order to understand the influence of process parameters and structural parameters of internal mixing gas-water nozzle on atomization characteristics, based on a self-designed experimental platform for atomization characteristics, the influence of air supply pressure, water supply pressure, gas-water convergence angle, mixing chamber length and outlet size on atomization characteristics was quantitatively analyzed by orthogonal experiment method, and then a prediction model of nozzle droplet Sauter mean diameter (SMD) was established by using multivariate nonlinear regression method. The experimental results show that the gas flow rate increases with the increase of gas supply pressure, gas-water convergence angle and outlet size, and decreases with the increase of water supply pressure. The water flow rate increases with the increase of water supply pressure and outlet size, and decreases with the increase of water supply pressure and confluence angle. The change of mixing chamber length has no significant effect on gas-water flow. SMD increases with the increase of water supply pressure and outlet size, but decreases with the increase of gas supply pressure, convergence angle and mixing cavity length. The order of the importance of each parameter on nozzle droplet size is outlet size > gas supply pressure > water supply pressure > gas-water convergence angle > mixing cavity length. The calculated values of the multivariate nonlinear prediction model are consistent with the experimental results, and the average relative error is 8.0%, which can be used to predict the droplet size of air atomization nozzle.https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20231556gas-water nozzlestructural parameterflow characteristicdroplet sizemathematical modeldust control |
| spellingShingle | Xin WANG Wenpu LI He SHAO Yiyi ZHENG Yurong GAO Xi CHEN Mathematical model for droplet size prediction of gas-water nozzle based on orthogonal experiment Meikuang Anquan gas-water nozzle structural parameter flow characteristic droplet size mathematical model dust control |
| title | Mathematical model for droplet size prediction of gas-water nozzle based on orthogonal experiment |
| title_full | Mathematical model for droplet size prediction of gas-water nozzle based on orthogonal experiment |
| title_fullStr | Mathematical model for droplet size prediction of gas-water nozzle based on orthogonal experiment |
| title_full_unstemmed | Mathematical model for droplet size prediction of gas-water nozzle based on orthogonal experiment |
| title_short | Mathematical model for droplet size prediction of gas-water nozzle based on orthogonal experiment |
| title_sort | mathematical model for droplet size prediction of gas water nozzle based on orthogonal experiment |
| topic | gas-water nozzle structural parameter flow characteristic droplet size mathematical model dust control |
| url | https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20231556 |
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