Measurement Enhancement on Two-Dimensional Temperature Distribution of Methane-Air Premixed Flame Using SMART Algorithm in CT-TDLAS

Jeon, Min-Gyu; Doh, Deog-Hee; Deguchi, Yoshihiro

doi:10.3390/app9224955

Cited by 11 publications

(5 citation statements)

References 23 publications

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“…The values for S(Tref), Q(T), Q(Tref), E, and v0 are taken from the HITRAN 2020 database (Gordon et al, 2022) and HITEMP 2010 database (Rothman et al, 2010). The absorption coefficients are calculated iteratively until the difference between the theoretical absorbance and the experimental absorbance (Jeon et al, 2019). In this study, the temperature was determined to minimize the absorbance coefficients using the following formula.…”

Section: Data Analysis Methodsmentioning

confidence: 99%

Development of combustion gas measurement systems for micro-rocket torch using a diode laser sensor

HIRAYAMA,

OGAWA

2023

Mechanical Engineering Letters

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Much noise from the combustion oscillations and more are included in the measurement data for combustion experiments of micro-rocket torch. To develop the combustion gas measurement system for the micro-rocket torch using tunable diode laser absorption spectroscopy (TDLAS) method, we develop the denoising algorithms using the Savitzky-Golay filter and K-fold cross validation for improved noise-rejection capabilities. First, a validation study has been conducted on the gas measurement system using denoising algorithms in the case of atmospheric measurements. The atmospheric measurement results using denoising algorithms are in exceptionally good agreement with atmospheric conditions. Therefore, this result indicated that this algorithm gave satisfactory accuracies in the case of atmospheric measurements. Next, we investigated the combustion gas measurements for micro-rocket torch using the TDLAS method and demonstrated the usefulness of the denoising algorithms. From the results of this study, it is obvious that a significant accuracy improvement was obtained in the majority of absorbance spectrum cases with use of the denoising algorithms. Furthermore, the tendency of time-series torch gas temperature using TDLAS method is similar to the time-series estimated values.

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Section: Data Analysis Methodsmentioning

confidence: 99%

Development of combustion gas measurement systems for micro-rocket torch using a diode laser sensor

HIRAYAMA,

OGAWA

2023

Mechanical Engineering Letters

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“…Fig. 3 shows the stateof-the-art fixed-beam CST sensors that have been applied in the industry with (a, b) parallel-beam [15,57], (c, d) fan-beam [51,52,58,59,60] and (e) irregular-beam arrangements [23,47], respectively. Fig.…”

Section: Fixed-beam Sensorsmentioning

confidence: 99%

“…Fig. 3 Industrial applications of fixed-beam CST sensors on measurements of (a) power plant and combustion engine exhaust using a 3-view parallel-beam layout [57], (b) propane flames using a 4-view parallel beam layout [15], (c) swirl flames using fan-beam layouts [52,58,60], (d) wind tunnel using an angle-expanded fan-beam layout [51,59], and (e) multi-cylinder automotive engine using an irregular-beam layout [47]. In each case, a schematic diagram of the CST sensor is shown on the left, and a photo of the fabricated sensor is shown on the right.…”

Section: Fixed-beam Sensorsmentioning

confidence: 99%

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Perspectives on instrumentation development for chemical species tomography in reactive-flow diagnosis

Liu

McCann

2023

Meas. Sci. Technol.

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Chemical species tomography (CST) has been deployed in a wide range of applications in the last two decades for multi-dimensional measurement of gaseous flow fields. CST offers unique capability for spatiotemporally resolved imaging of multiple thermochemical parameters. It is fundamentally robust, highly sensitive, and adaptable to industrial processes and large-scale combustion systems. The instrumentation methods used to implement CST measurements are critical in determining the physical and chemical variables that may be imaged by CST. In this perspective, we have three main objectives: a) discuss recent advances in CST instruments from the viewpoint of optics and electronics; b) highlight the on-going challenges for systems to address the ever-increasing requirements on temporal and spatial resolutions; and c) consider potential developments for next-generation CST instrumentation.

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“…Computed tomography algorithms, apart from the classic medical applications [ 2 ] and the examination of coal decks [ 3 , 4 ] mentioned before, have a number of other applications, almost classic, such as X-raying luggage, examining the construction of building materials, or less obvious, such as examining flames, the earth’s crust, seas and oceans, objects in motion or crash tests [ 5 , 6 , 7 , 8 ]. The authors studied the algorithms of computed tomography focus on its non-standard approach to an incomplete data set, which occurs, for example, in the case of coal seam research.…”

Section: Introductionmentioning

confidence: 99%

Application of Heuristic Algorithms in the Tomography Problem for Pre-Mining Anomaly Detection in Coal Seams

Brociek

Pleszczyński

Zielonka

et al. 2022

Sensors

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The paper presents research on a specific approach to the issue of computed tomography with an incomplete data set. The case of incomplete information is quite common, for example when examining objects of large size or difficult to access. Algorithms devoted to this type of problems can be used to detect anomalies in coal seams that pose a threat to the life of miners. The most dangerous example of such an anomaly may be a compressed gas tank, which expands rapidly during exploitation, at the same time ejecting rock fragments, which are a real threat to the working crew. The approach presented in the paper is an improvement of the previous idea, in which the detected objects were represented by sequences of points. These points represent rectangles, which were characterized by sequences of their parameters. This time, instead of sequences in the representation, there are sets of objects, which allow for the elimination of duplicates. As a result, the reconstruction is faster. The algorithm presented in the paper solves the inverse problem of finding the minimum of the objective function. Heuristic algorithms are suitable for solving this type of tasks. The following heuristic algorithms are described, tested and compared: Aquila Optimizer (AQ), Firefly Algorithm (FA), Whale Optimization Algorithm (WOA), Butterfly Optimization Algorithm (BOA) and Dynamic Butterfly Optimization Algorithm (DBOA). The research showed that the best algorithm for this type of problem turned out to be DBOA.

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Measurement Enhancement on Two-Dimensional Temperature Distribution of Methane-Air Premixed Flame Using SMART Algorithm in CT-TDLAS

Cited by 11 publications

References 23 publications

Development of combustion gas measurement systems for micro-rocket torch using a diode laser sensor

Development of combustion gas measurement systems for micro-rocket torch using a diode laser sensor

Perspectives on instrumentation development for chemical species tomography in reactive-flow diagnosis

Application of Heuristic Algorithms in the Tomography Problem for Pre-Mining Anomaly Detection in Coal Seams

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