Measurement enhancement of TDLAS based on variable weighted cross-correlation tomography for the simultaneous reconstruction of 2D temperature and concentration

Cho, Gyong-Rae; Choi, Dohoon

doi:10.1007/s12206-021-0111-5

Cited by 3 publications

(5 citation statements)

References 22 publications

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“…Tunable diode laser absorption spectroscopy (TDLAS) is a popular absorption spectroscopy technique [8], [9], [10], featuring a quick response and high selectivity. The mathematical background of TDLAS is the Beer-Lambert law, which is shown in Fig.…”

Section: A Tunable Diode Laser Absorption Spectroscopy and Tomographi...mentioning

confidence: 99%

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Combustion Field Prediction and Diagnosis via Spatiotemporal Discrete U-ConvLSTM Model

Huang,

Hao,

Pan

et al. 2024

IEEE Photonics J.

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Considering the importance of combustion diagnosis in industrial manufacturing and many fields, efficient, quick, and real-time multidimensional reconstruction is necessary and indispensable. Hence, focusing on the combustion field dynamic and multi-dimensional reconstruction, a modified U-ConvLSTM model was proposed to combine with the TDLAS method to resolve the real-time reconstruction and short prediction. By dividing the combustion field into space and time slices, we used discretized spatiotemporal slices to complete the 2-D distribution reconstruction and then expanded them into higher dimensions. The simulation results demonstrate that our design can effectively reconstruct different 2-D distributions, achieving a reconstruction error of less than 5%. Three-step predictions also performed well, a PSNR no less than 30 dB, and an SSIM no less than 0.75. In general, our multidimensional combustion field reconstruction method, based on the spatiotemporal discretization U-ConvLSTM model, can enhance the accuracy of combustion field reconstruction and provide short-term predictions. This work will contribute to closed-loop control in industrial fields.

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Section: A Tunable Diode Laser Absorption Spectroscopy and Tomographi...mentioning

confidence: 99%

“…On the one hand, due to the limitations of line of sight (LOS) [9], the detected data represent the integral along the optical path. Therefore, it's necessary to utilize computed tomography (CT) techniques to reconstruct the distribution of parameters.…”

mentioning

confidence: 99%

Combustion Field Prediction and Diagnosis via Spatiotemporal Discrete U-ConvLSTM Model

Huang,

Hao,

Pan

et al. 2024

IEEE Photonics J.

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“…The reconstruction system of Doo-Won Choi et al obtained data from the optical signals of 8-laser beams passed on a cross section of the methane flame. 9 Xia et al took advantage of two-step tomographic reconstructions and realized an 11 × 11 resolution reconstruction with half the number of detectors. 10 Xu, Liu et al used a pentagon TDLAS detection system and CT-TDLAS to realize the two-dimensional (2D) temperature and H 2 O concentration reconstruction of swirl combustion.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, TDLAT can realize the simultaneous measurement of temperature and gas concentration, which has made it the most popular and necessary technique for research on combustion diagnosis. However, TDLAT is based on the line-of-sight (LOS) detection method, and the reconstruction spatial resolution is mainly dependent on laser numbers through the region of interest (ROI) . In practical engineering processes, restricted by the extremely complex test environment, which has made it difficult to arrange enough acquisition equipment, there is a lack of sufficient effective detection data to reconstruct the original distribution, and this has become the key factor limiting the development of TDLAT …”

Section: Introductionmentioning

confidence: 99%

“…In previous studies, researchers devoted considerable effort to generating a high-resolution reconstruction of the temperature or gas concentration in the combustion environment. The reconstruction system of Doo-Won Choi et al obtained data from the optical signals of 8-laser beams passed on a cross section of the methane flame . Xia et al took advantage of two-step tomographic reconstructions and realized an 11 × 11 resolution reconstruction with half the number of detectors .…”

Section: Introductionmentioning

confidence: 99%

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Super-Resolution Residual U-Net Model for the Reconstruction of Limited-Data Tunable Diode Laser Absorption Tomography

et al. 2022

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Resolution is an important index for evaluating the reconstruction performance of temperature distributions in a combustion environment, and a higher resolution is necessary to obtain more precise combustion diagnoses. Tunable diode laser absorption tomography (TDLAT) has proven to be a powerful combustion diagnosis method for efficient detection. However, restricted by the line-of-sight (LOS) measurement, the reconstruction resolution of TDLAT was dependent on the size of the detection data, which made it difficult to obtain sufficient data for extreme environmental measurements. This severely limits the development of TDLAT in combustion diagnosis. To overcome this limitation, we proposed a super-resolution reconstruction method based on the super-resolution residual U-Net (SRResUNet) to improve the reconstruction resolution using a software method that could take full advantage of residual networks and U-Net to extract the deep features from the limited data of TDLAT to reconstruct the temperature distribution efficiently. A simulation study was conducted to investigate how the parameters would affect the performance of the super-resolution model and to optimize the reconstruction. The results show that our SRResUNet model can effectively improve the accuracy of reconstruction with super-resolution, with good antinoise performance, with the errors of 2-, 4-, and 8-times super-resolution reconstructions of approximately 5.3, 7.4, and 9.7%, respectively. The successful demonstration of SRResUNet in this work indicates the possible applications of other deep learning methods, such as enhanced super-resolution generative adversarial networks (ESRGANs) for limited-data TDLAT.

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TDL-based spectroscopy for simultaneous measurement of multiple gas properties using a single absorption line

et al. 2023

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Measurement enhancement of TDLAS based on variable weighted cross-correlation tomography for the simultaneous reconstruction of 2D temperature and concentration

Cited by 3 publications

References 22 publications

Combustion Field Prediction and Diagnosis via Spatiotemporal Discrete U-ConvLSTM Model

Combustion Field Prediction and Diagnosis via Spatiotemporal Discrete U-ConvLSTM Model

Super-Resolution Residual U-Net Model for the Reconstruction of Limited-Data Tunable Diode Laser Absorption Tomography

TDL-based spectroscopy for simultaneous measurement of multiple gas properties using a single absorption line

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