Equivalence Ratio Modelling of Premixed Propane Flame by Multiple Linear Regression Using Flame Color and Spatial Characteristics

IF 0.8 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION Measurement Science Review Pub Date : 2023-02-01 DOI:10.2478/msr-2023-0005
Hao Yang, Yufeng Lai, Xuanqi Liu, Houshi Jiang, Jiansheng Yang
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引用次数: 1

Abstract

Abstract Equivalence ratio (Φ) is one of the most important parameters in combustion diagnostics. In previous studies, flame color characteristics have been widely applied to model the Φ of premixed hydrocarbon flames. The flame spatial characteristics also change with the varying Φ. In this paper, a high-speed color camera was employed to capture the premixed propane flame images under different Φ conditions (Φ = 0.93 to 1.53). Then, the relationship between the spatial characteristics and the Φ variation was investigated. The area and height of propane premixed flames perform a strong sensitive response to the Φ variation. Based on the research above, the Φ measurement models were constructed using color and spatial characteristics. A comparison was made between the color characteristics (Color-Φ) model and the color-spatial characteristics (Multi-dimensional-Φ) model. Both models were applied to a set of color images of a premixed propane flame, and the result indicates that the Multi-dimensional-Φ model performs with higher accuracy.
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基于火焰颜色和空间特征的预混丙烷火焰等效比多元线性回归模型
等效比(Φ)是燃烧诊断中最重要的参数之一。在以往的研究中,火焰颜色特性被广泛应用于模拟烃类预混火焰Φ。火焰空间特性也随Φ的变化而变化。本文采用高速彩色摄像机拍摄不同Φ条件下(Φ = 0.93 ~ 1.53)的预混丙烷火焰图像。然后,研究了空间特征与Φ变化的关系。丙烷预混火焰的面积和高度对Φ的变化表现出强烈的敏感响应。在以上研究的基础上,利用颜色和空间特征构建了Φ测量模型。将色彩特征(color -Φ)模型与色彩空间特征(Multi-dimensional-Φ)模型进行了比较。将两种模型应用于一组预混丙烷火焰的彩色图像,结果表明,多维-Φ模型具有较高的精度。
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来源期刊
Measurement Science Review
Measurement Science Review INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.00
自引率
11.10%
发文量
37
审稿时长
4.8 months
期刊介绍: - theory of measurement - mathematical processing of measured data - measurement uncertainty minimisation - statistical methods in data evaluation and modelling - measurement as an interdisciplinary activity - measurement science in education - medical imaging methods, image processing - biosignal measurement, processing and analysis - model based biomeasurements - neural networks in biomeasurement - telemeasurement in biomedicine - measurement in nanomedicine - measurement of basic physical quantities - magnetic and electric fields measurements - measurement of geometrical and mechanical quantities - optical measuring methods - electromagnetic compatibility - measurement in material science
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