Development and Validation of a Tunable Diode Laser Absorption Spectroscopy System for Hot Gas Flow and Small-Scale Flame Measurement

Tu, Ran; Gu, Jianlei; Zeng, Yi; Zhou, Xueguang; Kai, Yang; Jing, Jiaojiao; Man, Zhihong; Yang, Jianhong

doi:10.3390/s22176707

Cited by 9 publications

(4 citation statements)

References 21 publications

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“…As shown in Figure 16, the test system consists of a laser source, a butane burner, a K-type thermocouple (HH-K-24-SLE), a light switch (customized), a sensor and a host computer. [35][36][37]. In order to realize the laser wavelength modulation, the voltage signal input to the two laser drivers was generated by a data acquisition device (DAQ, NI, PCI-6115).…”

Section: Experimental Results and Error Analysis 41 Experimental Setupmentioning

confidence: 99%

“…Two central wave frequencies of 7185.60 cm −1 (NTT, NLK1E5GAAA) and 7444.36 cm −1 (NTT, NLK1B5EAAA) were used, which are in the vicinity of the central spectral absorption line of H 2 O molecules. The temperature-current drive of the lasers was realized by external input voltage signals to two laser drivers (Stanford DC-501)[35][36][37]. In order to realize the laser wavelength modulation, the voltage signal input to the two laser drivers was generated by a data acquisition device (DAQ, NI, PCI-6115).…”

mentioning

confidence: 99%

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Reconstruction Algorithm Optimization Based on Multi-Iteration Adaptive Regularity for Laser Absorption Spectroscopy Tomography

Zhao,

Du,

Zhang

et al. 2023

Applied Sciences

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Laser absorption spectroscopy tomography is an effective combustion diagnostic method for obtaining simultaneous two-dimensional distribution measurements of temperature and gas molar concentrations. For the reconstruction process of complex combustion flames, a new algorithm named ‘multi-iterative adaptive optimization regularization’ (MIARO) is proposed. This algorithm is a further development of another algorithm known as the ‘modified adaptive algebraic reconstruction technique’ (MAART) with the improvement of the initial value and adaptive regularization parameter selections. In MIARO, the problem of the MAART’s initial value sensitivity is compensated for, and in addition, reconstruction parameters are also introduced into the regularization so that both the quality of reconstruction and the convergence of regularization are guaranteed. In butane burner experiments, an average relative error of 1.82% was achieved with MIARO, compared to 2.44% with MAART, which is a significant reduction of 25.1%. The simulation and experimental results clearly demonstrate that the MIARO algorithm can be used to reconstruct dynamic combustion fields and eliminate boundary artifacts with improved measurement accuracy and robustness.

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Section: Experimental Results and Error Analysis 41 Experimental Setupmentioning

confidence: 99%

mentioning

confidence: 99%

Reconstruction Algorithm Optimization Based on Multi-Iteration Adaptive Regularity for Laser Absorption Spectroscopy Tomography

Zhao,

Du,

Zhang

et al. 2023

Applied Sciences

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“…For methane telemetry sensors, the methane gas absorption lines need to be selected to minimize interference from other gas absorption spectra. Based on the HITRAN database [25][26][27][28], it is known that H 2 O and CO 2 in atmospheric gases are the main interfering factors for CH 4 detection errors. Figure 1 displays the integrated concentration values of three gases within the wave number range of 6000-6100 cm −1 , when T = 298.15 K, P = 1 atm, and L = 100 cm.…”

Section: The Selection Of Ch 4 Absorption Linesmentioning

confidence: 99%

Highly Responsive, Miniaturized Methane Telemetry Sensor Based on Open-Path TDLAS

Wu,

Yang,

Shi

et al. 2023

Photonics

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This paper proposes the design of a highly responsive, compact, non-contact methane telemetry sensor, employing the open-path tunable diode laser absorption spectroscopy (OP-TDLAS) technology. The sensor uses the dual-core structure of FPGA and ARM to achieve high-speed methane telemetry at 100 KHz repeated modulation frequency for the first time with a non-cooperate target, and a higher gas responsive time of 1.8 ms was achieved than previously reported. Moreover, the optical system (L × W × H: 68.8 × 52 × 62.7 mm) and the electronic system (L × W: 70 × 50 mm) make the sensor more compact. Methane gas samples of varying integral concentrations were examined at a distance of 20 m. The amplitude of the absorption peaks was subjected to a linear fit with the standard concentration values, resulting in a robust linear correlation coefficient (R2 = 0.998). Notably, despite the compact form factor of the methane sensor, it demonstrated commendable stability in gas concentration detection, offering a minimum detection limit of 43.14 ppm·m. Consequently, this highly responsive and compact methane sensor, with its open-path feature, is apt for integration into a variety of applications requiring such attributes. These include handheld telemetry devices, Unmanned Aerial Vehicle (UAV) gas detection systems, vehicle mounted gas detection, and laser gas radar.

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“…1 Natural gas is mainly transported through pipelines due to their economic and safety advantages. 2 Huge natural gas pipelines have been built in almost all parts of the world. However, following that there is a risk of pipeline leakage during use due to corrosion of steel pipes, mechanical damage caused by construction, unsealing of connectors, and welding joint cracks caused by stress.…”

Section: Introductionmentioning

confidence: 99%

Miniaturized and Portable Laser Gas Sensor for Standoff Methane Detection With Non-Cooperative Targets

Li,

Ma,

Wang

et al. 2023

Appl Spectrosc

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A standoff methane (CH4) sensor with actual hard topographic targets (usually called non-cooperative targets) is essential for natural gas pipeline leakage inspection and many other practical applications. To address this requirement, a miniaturized and low-power-consumption gas sensor was developed based on tunable diode laser absorption spectroscopy for standoff CH4 detection with a non-cooperative target. Wavelength modulation spectroscopy with a 1 f normalized 2 f detection method was employed for calibration-free CH4 measurement. A Kalman filter algorithm was used to improve the precision of the detection. The performance of the standoff CH4 sensor was evaluated comprehensively under various conditions, including different incident angles, different hard topographic targets, and different standoff distances. The results show that the measurement precision is 0.107% and the sensitivity is 4.08 parts per million per meter (ppm·m) with a time resolution of 1 s and a standoff distance of 40 m. The detection limit can achieve 1.24 ppm·m at an optimal integration time of 70 s. This sensor can be easily integrated into mobile platforms, which lays the foundation for intelligent leak inspection.

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Development and Validation of a Tunable Diode Laser Absorption Spectroscopy System for Hot Gas Flow and Small-Scale Flame Measurement

Cited by 9 publications

References 21 publications

Reconstruction Algorithm Optimization Based on Multi-Iteration Adaptive Regularity for Laser Absorption Spectroscopy Tomography

Reconstruction Algorithm Optimization Based on Multi-Iteration Adaptive Regularity for Laser Absorption Spectroscopy Tomography

Highly Responsive, Miniaturized Methane Telemetry Sensor Based on Open-Path TDLAS

Miniaturized and Portable Laser Gas Sensor for Standoff Methane Detection With Non-Cooperative Targets

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