An improved inversion algorithm to reconstruct 2D temperature fields of long sparks with high-speed schlieren technique. (August 2021)

• Record Type: Journal Article
• Authors: Liu, Xiaopeng; Wang, Xiankang; Zhao, Xiangen; Xiao, Pei; Liu, Yang; He, Junjia
• Is Part Of: Measurement. Volume 180(2021)
• Publication Date: 2021-08
• Subjects: Long spark -- Two-dimensional temperature reconstruction -- Schlieren technique -- Inverse Abel transform -- Dichotomy -- High order total variation regularization; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2021.109620
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: Two-dimensional temperature fields of spark channel are firstly presented. The deviation of the discharge channel axis can cause huge errors of temperature. An improved inverse Abel transform algorithm is proposed. High-speed schlieren technique is used to measure the spark channel temperature. Abstract: The temperature measurement for discharge channels plays an important role in studying the mechanism of long sparks and natural lightning, in which cases the high-speed schlieren technique is usually applied. However, the high-speed schlieren images are noisy, and the discharge channel axis is not discernibly determined from the discrete pixels, which can sometimes cause huge errors using the traditional inversion algorithm. This may be the reason why two-dimensional (2D) temperature fields of long sparks are rarely reported at present. To fill the gap, an improved inversion algorithm is proposed, in which the dichotomy and the high order total variation (TV) regularization methods are introduced. The proposed algorithm is verified to have better performance compared with the traditional ones by numerical tests. At last, 2D temperature fields of discharge channels are reconstructed and discussed.