Flame Imaging Technology Based on 64-Pixel Area Array Sensor.

Xiaodong Huang, Xiaojian Hao, Baowu Pan, Xiaodong Liang, Zheng Wang, Shenxiang Feng, Pan Pei, Heng Zhang

Abstract read

In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiaodong HuangScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.ORCID 0000-0003-2018-8664

Xiaojian HaoScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.

Baowu PanSchool of Materials Science and Engineering, North University of China, Taiyuan 030051, China.

Xiaodong LiangScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.

Zheng WangScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.

Shenxiang FengScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.

Pan PeiScience and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan 030051, China.

Heng ZhangShanxi Key Laboratory of Advanced Semiconductor Optoelectronic Devices and System Integration, Jincheng 048000, China.

Funding

National Natural Science Foundation of China 52075504Shanxi Key Laboratory of Advanced Semiconductor Optoelectronic Devices and System Integration 2023SZKF11State Key Laboratory of Quantum Optics and Quantum Optics Devices KF202301the Fund for Shanxi 1331 Project Key Subject Construction 1331PKSC

6 · The paper itself

Abstract

High-resolution flame temperature images are essential indicators for evaluating combustion conditions. Tunable diode laser absorption spectroscopy (TDLAS) is an effective combustion diagnostic method. In actual engineering, due to the limitation of line-of-sight (LOS) measurement, TDLAS technology has the problems of small data volume and low dimensionality in measuring combustion fields, which seriously limits the development of TDLAS in combustion diagnosis. This article demonstrates a TDLAS imaging method based on a 64-pixel area array sensor to reconstruct the two-dimensional temperature field of the flame. This paper verifies the robustness of the Algebraic Reconstruction Technique (ART) algorithm through numerical simulation and studies the effects of temperature, concentration, and pressure on the second harmonic intensity based on the HITRAN database. The two-dimensional temperature field of the flame was reconstructed, and reconstruction accuracy was verified using thermocouples. The maximum relative error was 3.71%. The TDLAS detection system based on a 64-pixel area array sensor provides a way to develop high-precision, high-complexity flame temperature measurement technology.

Indexed as

ARTcombustion flameTDLAStwo-dimensional imaging

Identifiers

PMID38258163

DOI10.3390/mi15010044

PMCPMC10820706

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.