| 碳黑颗粒生长模型的初步研究 |
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| 引用本文： | 章奇, 司梦婷, 王东旭, 王安振, 李灿, 王振, 罗自学, 娄春, 程强. 多光谱反演火焰温度及烟黑体积分数研究[J]. 中国舰船研究, 2019, 14(5): 42-48. DOI: 10.19693/j.issn.1673-3185.01413 |
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| 作者姓名： | 章奇 司梦婷 王东旭 王安振 李灿 王振 罗自学 娄春 程强 |
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| 作者单位： | 1.煤燃烧国家重点实验室, 湖北 武汉 430074;2.中国舰船研究设计中心, 湖北 武汉 430064 |
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| 基金项目： | 国家自然科学基金资助项目(51776078, 51676077, 51827808) |
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| 摘 要： | 目的 为准确了解火焰内部的温度与烟黑浓度分布， 方法 使用高光谱仪研究从火焰光谱强度图像反演的二维温度与烟黑体积分数的分布。首先，使用高光谱仪拍摄实验室乙烯层流扩散火焰，得到包含多光谱信息的高分辨率图像；然后，对图像波长进行分析和筛选，通过对黑体炉的标定得到多波长的辐射强度信息；最后，通过反演得到火焰温度和烟黑体积分数的二维分布。 结果 研究结果表明，得到的火焰温度与其他文献结果相比，最大温度偏差为2.77%，吻合较好。 结论 研究得到的火焰温度和烟黑体积分数的分布结果具有准确性。
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| 关 键 词： | 反演算法 火焰温度分布 烟黑体积分数 高光谱仪 |
| 收稿时间： | 2018-09-07 |
Initial study of modeling growth of soot particles |
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| Zhang Qi, Si Mengting, Wang Dongxu, Wang Anzhen, Li Can, Wang Zhen, Luo Zixue, Lou Chun, Cheng Qiang. Study on multi-spectral inversion of temperature and soot concentration in flames[J]. Chinese Journal of Ship Research, 2019, 14(5): 42-48. DOI: 10.19693/j.issn.1673-3185.01413 |
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| Authors: | Zhang Qi Si Mengting Wang Dongxu Wang Anzhen Li Can Wang Zhen Luo Zixue Lou Chun Cheng Qiang |
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| Affiliation: | 1.State Key Laboratory of Coal Combustion, Wuhan 430074, China;2.China Ship Development and Design Center, Wuhan 430064, China |
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| Abstract: | Objectives In order to accurately understand the temperature inside the flame and the distribution of soot concentration, Methods the distribution of the two-dimensional temperature and the soot volume fraction inverted from the spectral intensity image of the flame was studied using a hyper-spectrometer. Firstly, a hyper-spectrometer was used to capture the laboratory's vinyl laminar diffusion flame to obtain a high-resolution image containing multi-spectral information. Then, the wavelength in the image was analyzed and screened, the multi-wavelength radiation intensity information was obtained by calibrating the blackbody furnace, and the two-dimensional distribution of the flame temperature and the soot volume fraction was obtained by inversion. Results Comparing the obtained flame temperature with the results from other literature, the maximum temperature deviation is 2.77%, and the results are in good agreement, Conclusions indicating the accuracy of the distribution of temperature and soot volume fraction. |
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| Keywords: | inversion algorithm flame temperature distribution soot volume fraction hyperspectrometer |
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