Equivalence Ratio Modelling of Premixed Propane Flame by Multiple Linear Regression Using Flame Color and Spatial Characteristics-Reference-Cited by-同舟云学术

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

Published:2023-02-01 Issue:1 Volume:23 Page:40-46
ISSN:1335-8871
Container-title:Measurement Science Review
language:en
Short-container-title:

Author:

Yang Hao¹,Lai Yufeng²,Liu Xuanqi³,Jiang Houshi⁴,Yang Jiansheng¹

Affiliation:

1. 1 The Electrical Engineering College , Guizhou University , Guiyang , China

2. 2 Department of Electronic and Electrical Engineering , The University of Sheffield , Sheffield , United Kingdom

3. 3 Department of Mechanical Engineering , The University of Sheffield , Sheffield , United Kingdom

4. 4 School of Mechanical Engineering, Beijing Institute of Technology , Beijing , China

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.

Publisher

Walter de Gruyter GmbH

Subject

Instrumentation,Biomedical Engineering,Control and Systems Engineering

Link

https://www.sciendo.com/pdf/10.2478/msr-2023-0005

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