Multidisciplinary materials and geometry optimization of superheater tubes for advanced ultra-supercritical power boilers

Lee, Yoonha; Han, Soonyoung; Jang, Sungwoo; Kim, Wonjae; Choi, Hea-Jin; Choi, Seung-Kyum

doi:10.1007/s12206-018-0639-1

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…Figure 5 shows the optimization problem formulation [ 31 ] to build the CIM. Our goal in this problem is to minimize the loss of important information.…”

Section: Critical Information Map: Optimizationmentioning

confidence: 99%

A Data-Driven Approach for the Diagnosis of Mechanical Systems Using Trained Subtracted Signal Spectrograms

Huh

Van

Han

et al. 2019

Sensors

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Toward the prognostic and health management of mechanical systems, we propose and validate a novel effective, data-driven fault diagnosis method. In this method, we develop a trained subtracted spectrogram, the so called critical information map (CIM), identifying the difference between the signal spectrograms of normal and abnormal status. We believe this diagnosis process may be implemented in an autonomous manner so that an engineer employs it without expert knowledge in signal processing or mechanical analyses. Firstly, the CIM method applies sequential and autonomous procedures of time-synchronization, time frequency conversion, and spectral subtraction on raw signal. Secondly, the subtracted spectrogram is then trained to be a CIM for a specific mechanical system failure by finding out the optimal parameters and abstracted information of the spectrogram. Finally, the status of a system health can be monitored accurately by comparing the CIM with an acquired signal map in an automated and timely manner. The effectiveness of the proposed method is successfully validated by employing a diagnosis problem of six-degree-of-freedom industrial robot, which is the diagnosis of a non-stationary system with a small amount of training datasets.

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“…Figure 5 shows the optimization problem formulation [ 31 ] to build the CIM. Our goal in this problem is to minimize the loss of important information.…”

Section: Critical Information Map: Optimizationmentioning

confidence: 99%

A Data-Driven Approach for the Diagnosis of Mechanical Systems Using Trained Subtracted Signal Spectrograms

Huh

Van

Han

et al. 2019

Sensors

Self Cite

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“…In response to the urgent need to reduce coal consumption and mitigate pollutant emissions, ultra-supercritical (USC) fossil power plants have been recognized as a crucial strategy [1,2]. For the improvement of thermal efficiency and safety of energy production in USC coal-fired power plants, heat-resistant steels, such as those used in reheaters and superheaters, are essential [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

High-Temperature Steam and Atmospheric Oxidation Characteristic of a Heat-Resistant SP2215 Steel

Xu,

Wu,

Huang

et al. 2024

Coatings

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The high-temperature oxidation performance of SP2215 has become an important issue when they were used as superheaters and reheaters exposed to two different high-temperature environments. In this study, the oxidation behavior of SP2215 steel was investigated under steam and an atmosphere of 650–800 °C for 240 h. The microstructural and chemical characterization of the samples were performed using scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), a glow discharge optical emission spectrometer (GD-OES), and atomic force microscope (AFM). The kinetic curves of oxidation revealed excellent oxidation resistance under both environments, but significant different oxidation characteristics, oxide film composition, and structure were obvious. In the steam experiment, selective intergranular oxidation was evident at relatively low temperatures, which was attributed to the preference absorption of supercritical water molecules at the grain boundary. Conversely, a double-layer structure of outer Fe2O3 and a small amount of Fe3O4 and inner Cr2O3 was formed uniformly at 800 °C. In the high-temperature atmosphere experiment, a protective chromium film was dominant at 650–700 °C, and a loose multicomponent oxide film was formed at 750–800 °C, primarily consisting of Cr2O3, spinel FeCr2O4, and CuO.

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CFD-simulation-based optimization of superheater for steam production from waste heat of SRF combustor

Kim

Park

Cho

et al. 2019

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Multidisciplinary materials and geometry optimization of superheater tubes for advanced ultra-supercritical power boilers

Cited by 4 publications

References 24 publications

A Data-Driven Approach for the Diagnosis of Mechanical Systems Using Trained Subtracted Signal Spectrograms

A Data-Driven Approach for the Diagnosis of Mechanical Systems Using Trained Subtracted Signal Spectrograms

High-Temperature Steam and Atmospheric Oxidation Characteristic of a Heat-Resistant SP2215 Steel

CFD-simulation-based optimization of superheater for steam production from waste heat of SRF combustor

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