基于RGB颜色模型的玉米淀粉爆燃火焰传播速度

张洪铭; 陈先锋; 张英; 牛奕; 代华明; 黄楚原

doi:10.11883/bzycj-2016-0278

基于RGB颜色模型的玉米淀粉爆燃火焰传播速度

doi: 10.11883/bzycj-2016-0278

武汉理工大学资源与环境工程学院，湖北武汉 430070

基金项目:

国家重点研发计划项目 2016YFC0802801

国家自然科学基金项目 51374164

国家自然科学基金项目 51774221

详细信息

作者简介:
张洪铭(1989—)，男，博士研究生

通讯作者:
陈先锋, cxf618@whut.edu.cn

中图分类号: O389
计量
- 文章访问数: 5342
- HTML全文浏览量: 1818
- PDF下载量: 236
- 被引次数: 0
出版历程
- 收稿日期: 2016-09-12
- 修回日期: 2016-12-15
- 刊出日期: 2018-01-25

Flame propagation velocities of cornstarch dust explosion based on RGB color model

School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, Hubei, China

摘要

摘要: 采用小尺度粉尘爆炸实验装置对不同质量浓度的玉米淀粉爆燃火焰传播过程进行了实验研究，建立了基于RGB颜色模型的火焰重构及形态学重建的粉尘火焰传播速度计算方法，计算了不同质量浓度下的玉米淀粉爆燃火焰传播速度。结果表明：采用基于RGB颜色模型的速度计算方法能够快速准确地计算出玉米淀粉爆燃火焰传播速度，火焰像素范围的确定是火焰速度计算的关键；管道内火焰传播速度受粉尘云质量浓度的影响，最大火焰传播速度随粉尘云质量浓度的增大先增大后减小，到达速度峰值的时间先缩短后增长，当质量浓度为0.63 kg/m³时，出现该实验条件下火焰传播速度最大值7.03 m/s。
- 粉尘爆炸 /
- 火焰传播速度 /
- 火焰图像 /
- RGB颜色模型
Abstract: In order to study the flame propagation process of cornstarch dust explosion, a series of experiments with different dust concentrations were conducted in a small-scale experimental platform. A computational method of the propagation velocity of cornstarch dust explosion flame was established based on the RGB color model. The flame front could be detected by flame recognition and reconstruction and the propagation velocities of dust explosion flame with different mass concentrations were calculated. The results shows that this method can be used to calculate the propagation velocity of the cornstarch dust explosion flame quickly and accurately. The determination of the flame pixel range is the key factor of the flame speed calculation. The flame propagation process in the duct is influenced by the dust concentration. The maximum flame propagation velocities increase firstly and then decrease with the increasing concentration of cornstarch dust cloud. However, the times of the maximum flame propagation velocities have the opposite rules. The maximum flame propagation velocity is up to 7.03 m/s, when the mass concentration of cornstarch dust cloud is 0.63 kg/m³.
- dust explosion /
- flame propagation velocity /
- flame images /
- RGB color model

HTML全文

图 1 实验系统组成图

Figure 1. Composition of the experimental system

下载: 全尺寸图片幻灯片

图 2 喷粉质量与管道内粉尘云质量浓度的关系

Figure 2. Dust mass concentration in experimental apparatus varied with mass of dispersed particles

下载: 全尺寸图片幻灯片

图 3 粉尘爆燃火焰R、G、B单通道分量图

Figure 3. Flame regions separated by R, G, B color components

下载: 全尺寸图片幻灯片

图 4 玉米淀粉爆燃火焰像素分布

Figure 4. Flame pixel distribution based on the rgb color space model

下载: 全尺寸图片幻灯片

图 5 玉米淀粉云火焰传播过程

Figure 5. Flame propagation process of cornstarch dust cloud

下载: 全尺寸图片幻灯片

图 6 火焰区域识别过程图

Figure 6. Recognition process of the flame region

下载: 全尺寸图片幻灯片

图 7 不同时刻的火焰锋面位置

Figure 7. Flame front positions at different times

下载: 全尺寸图片幻灯片

图 8 不同粉尘质量浓度下的火焰锋面位置及火焰传播速度曲线

Figure 8. Flame front positions and flame propagation velocity curves at different dust mass concentrations

下载: 全尺寸图片幻灯片

图 9 不同粉尘质量浓度下最大火焰传播速度和达到峰值速度的时间

Figure 9. Maximum flame propagation velocity and its arrival times at four dust mass concentrations

下载: 全尺寸图片幻灯片

表 1 不同粉尘云质量浓度下两种方法得到的火焰传播平均速度的对比

Table 1. Comparison of mean flame propagtion velocities at different dust mass concentrations by two measurement methods

序号	ρ/(kg·m^-3)	v/(m·s^-1)		ε_v/%
序号	ρ/(kg·m^-3)	RGB模型	方法^[1]	ε_v/%
1	0.36	2.08	1.99	4.52
2	0.50	2.10	2.09	0.48
3	0.63	2.63	2.52	3.57
4	0.82	2.40	2.34	2.56

下载: 导出CSV

参考文献(14)

[1]	陶可通, 陈先锋, 张洪铭, 等.玉米淀粉粉尘云浓度对其火焰传播特性的影响[J].中国安全科学学报, 2015, 25(5):37-41. https://www.wenkuxiazai.com/doc/1d42a9baf01dc281e43af083.html TAO Ketong, CHEN Xianfeng, ZHANG Hongming, et al. Effects of corn starch dust concentration on its flame propagation characteristics[J]. China Safety Science Journal, 2015, 25(5):37-41. https://www.wenkuxiazai.com/doc/1d42a9baf01dc281e43af083.html
[2]	郭晶, 王庆.密闭空间煤粉爆炸特性的实验研究[J].爆破, 2017, 34(3):31-36. http://www.cqvip.com/QK/96961X/201703/673329345.html GUO Jing, WANG Qing. Experimental studies on explosion characteristics of coal dust in confined space[J]. Blasting, 2017, 34(3):31-36. http://www.cqvip.com/QK/96961X/201703/673329345.html
[3]	徐维铮, 吴卫国.封闭空间爆炸载荷特性研究[J].爆破, 2017, 34(4):40-45. http://www.cqvip.com/QK/96961X/201704/674022987.html XU Weizheng, WU Weiguo. Investigation on characteristics of blasting loading in closed space[J]. Blasting, 2017, 34(4):40-45. http://www.cqvip.com/QK/96961X/201704/674022987.html
[4]	丁以斌, 孙金华, 何学超, 等.锆粉尘云的火焰传播特性[J].燃烧科学与技术, 2010, 16(4):353-357. http://d.wanfangdata.com.cn/Periodical_rskxyjs201004011.aspx DING Yibin, SUN Jinhua, HE Xuechao, et al. Flame propagation characteristic of zirconium particle cloud[J]. Journal of Combustion Science and Technology, 2010, 16(4):353-357. http://d.wanfangdata.com.cn/Periodical_rskxyjs201004011.aspx
[5]	王健, 李新光, 钟圣俊, 等.相连容器中粉尘爆炸的火焰传播[J].东北大学学报(自然科学版), 2010, 31(2):157-160. http://www.cqvip.com/QK/90188A/201002/33035359.html WANG Jian, LI Xinguang, ZHONG Shengjun, et al. On the flame propagation along pipeline during dust explosion between interconnected vessels[J]. Journal of Northeastern University (Natural Science), 2010, 31(2):157-160. http://www.cqvip.com/QK/90188A/201002/33035359.html
[6]	GAO W, MOGI T, SUN J, et al. Effects of particle size distributions on flame propagation mechanism during octadecanol dust explosions[J]. Powder Technology, 2013, 249:168-174. doi: 10.1016/j.powtec.2013.08.007
[7]	GAO W, DOBASHI R, MOGI T, et al. Effects of particle characteristics on flame propagation behavior during organic dust explosions in a half-closed chamber[J]. Journal of Loss Prevention in the Process Industries, 2012, 25(6):993-999. doi: 10.1016/j.jlp.2012.05.015
[8]	刘兵, 李春艳, 孙天旗, 等.离子电流法测量CH₄/H₂混合气燃烧火焰传播速度的实验研究[J].西安交通大学学报, 2015, 49(1):40-45. doi: 10.7652/xjtuxb201501007 LIU Bing, LI Chuanyan, SUN Tianqi, et al. Measurement for flame speed of CH₄/H₂blends with ionic current method[J]. Journal of Xi'an Jiaotong University, 2015, 49(1):40-45. doi: 10.7652/xjtuxb201501007
[9]	OTSUKA T, WOLANSKI P. Particle image velocimetry (PIV) analysis of flame structure[J]. Journal of Loss Prevention in the Process Industries, 2001, 14(6):503-507. doi: 10.1016/S0950-4230(01)00045-6
[10]	DONG Y, VAGELOPOULOS C M, SPEDDING G R, et al. Measurement of laminar flame speeds through digital particle image velocimetry: Mixtures of methane and ethane with hydrogen, oxygen, nitrogen, and helium[J]. Proceedings of the Combustion Institute, 2002, 29(2):1419-1426. doi: 10.1016/S1540-7489(02)80174-2
[11]	余明高, 郑凯, 郑立刚, 等.基于Matlab图像处理的瓦斯爆炸火焰传播速度研究[J].安全与环境学报, 2014, 14(1):6-9. http://cqvip.com/qk/97783X/201503/664656898.html YU Minggao, ZHENG Kai, ZHENG Ligang, et al. Flame propagation speed research of the gas explosion through image processing analysis based on Matlab[J]. Journal of Safety and Environment, 2014, 14(1):6-9. http://cqvip.com/qk/97783X/201503/664656898.html
[12]	NIE Baisheng, HE Xueqiu, WANG Cheng, et al. Computational method of the propagation velocity of methane explosion flame based on correlation coefficient of images[J].Combustion Science and Technology, 2015, 187(8):1157-1166. doi: 10.1080/00102202.2015.1019621
[13]	HAN S K, ARGHODE V K, LINCK M B, et al. Hydrogen addition effects in a confined swirl-stabilized methane-air flame[J]. International Journal of Hydrogen Energy, 2009, 34(2):1054-1062. doi: 10.1016/j.ijhydene.2008.10.034
[14]	耿庆田, 于繁华, 赵宏伟, 等.基于颜色特征的火焰检测新算法[J].吉林大学学报(工学版), 2014, 11(6):1787-1972. http://www.cqvip.com/QK/95788A/201406/662905089.html GENG Qingtian, YU Fanhua, ZHAO Hongwei, et al. New algorithm of flame detection based on color features[J]. Journal of Jilin University (Engineering and Technology Edition), 2014, 11(6):1787-1972. http://www.cqvip.com/QK/95788A/201406/662905089.html