Microstructure Evolution of Super304H Steel Used in a Service Power Station Boiler DOI Open Access

Xiaoxin Wang,

Baohe Yuan, Jianbin Li

et al.

Materials, Journal Year: 2024, Volume and Issue: 17(22), P. 5518 - 5518

Published: Nov. 12, 2024

The microstructure and structure of a Super304H superheater steel pipe after 47,000 h were analyzed by metallographic microscope, scanning electron microscope (SEM), EDS, its mechanical properties measured hardness meter. results show that the austenitic grains appear on outer wall service, while SEM tests particles are coarse. There is an obvious corrosion layer surface, thickness windward surface significantly higher than leeward surface. inner refined material increased; center all grow abnormally. In this case, room temperature tensile strength impact performance rough crystal area reduced fracture along crystal. Supervision should be strengthened to eliminate safety risks caused abnormal growth austenite grain. phase microscopy main still maintains basic steel, particle aggregation mainly occurs in sub-inner Compared with lee middle body basically same, but whether or increases, deformation degree greater. measurement finds increase stress. case explosion accident, highest chance here closely observed.

Language: Английский

Investigation of heat transfer enhancement in shell-and-tube exchangers using audible acoustic technology DOI
Pei Luo,

Zerun Zhang,

Zhixiao Deng

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 125808 - 125808

Published: Jan. 1, 2025

Language: Английский

Citations

0
Forecasting carbon price in Hubei Province using a mixed neural model based on mutual information and Multi-head Self-Attention DOI
Youyang Ren, Yuan-zhong Huang, Yuhong Wang

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144960 - 144960

Published: Feb. 1, 2025

Language: Английский

Citations

0
TCN-GRU Based on Attention Mechanism for Solar Irradiance Prediction DOI Creative Commons

Zhi Rao,

Zaimin Yang,

Xiongping Yang

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5767 - 5767

Published: Nov. 18, 2024

The global horizontal irradiance (GHI) is the most important metric for evaluating solar resources. accurate prediction of GHI great significance effectively assessing energy resources and selecting photovoltaic power stations. Considering time series nature monitoring sites dispersed over different latitudes, longitudes, altitudes, this study proposes a model combining deep neural networks convolutional multi-step GHI. utilizes parallel temporal gate recurrent unit attention prediction, final result obtained by multilayer perceptron. results show that, compared to second-ranked algorithm, proposed improves evaluation metrics mean absolute error, percentage root square error 24.4%, 33.33%, 24.3%, respectively.

Language: Английский

Citations

1
CFD modelling of the air preheater fired with gas mixture to find the cause of the preheater damage DOI Creative Commons
Tomasz Sobota, Dawid Taler, Mariusz Granda

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 551, P. 01001 - 01001

Published: Jan. 1, 2024

Since various fuels, such as natural gas, blast furnace coke oven and a mixture of the three, are burned in boiler, there is danger corrosion caused by sulphuric acid. Sulphur dioxide produced after combustion condensed water vapour from flue gases on cold tube surfaces form Sulphuric acid solution flowing down vertical tubes air heater causes not only but also horizontal located below. A simulation flow heat exchange gas sides was performed to determine areas where temperature low condensation may occur. Based measured mass flows, temperatures behind heater, at its inlet, before determined using ε-NTU (Effectiveness-Number Transfer Units) method. CFD modelling experimental research, can given outside were determined.

Language: Английский

Citations

0
A Multi-Step Furnace Temperature Prediction Model for Regenerative Aluminum Smelting Based on Reversible Instance Normalization-Convolutional Neural Network-Transformer DOI Open Access
Jiayang Dai, P.C.Y. Ling, Haofan Shi

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(11), P. 2438 - 2438

Published: Nov. 5, 2024

In the regenerative aluminum smelting process, furnace temperature is critical for quality and energy consumption of product. However, process requires protective sensors, making real-time measurement costly, while strong nonlinearity distribution drift data affect prediction. To handle these issues, a multi-step prediction model that incorporates reversible instance normalization (RevIN), convolutional neural network (CNN), Transformer proposed. First, self-attention mechanism combined with CNN to extract global local information in data, thus addressing nonlinear characteristics temperature. Second, RevIN learnable affine transformation utilized address data. Third, temporal correlation enhanced by time-coding method. The experimental results show proposed demonstrates higher accuracy at different steps compared other models.

Language: Английский

Citations

0
Microstructure Evolution of Super304H Steel Used in a Service Power Station Boiler DOI Open Access

Xiaoxin Wang,

Baohe Yuan, Jianbin Li

et al.

Materials, Journal Year: 2024, Volume and Issue: 17(22), P. 5518 - 5518

Published: Nov. 12, 2024

The microstructure and structure of a Super304H superheater steel pipe after 47,000 h were analyzed by metallographic microscope, scanning electron microscope (SEM), EDS, its mechanical properties measured hardness meter. results show that the austenitic grains appear on outer wall service, while SEM tests particles are coarse. There is an obvious corrosion layer surface, thickness windward surface significantly higher than leeward surface. inner refined material increased; center all grow abnormally. In this case, room temperature tensile strength impact performance rough crystal area reduced fracture along crystal. Supervision should be strengthened to eliminate safety risks caused abnormal growth austenite grain. phase microscopy main still maintains basic steel, particle aggregation mainly occurs in sub-inner Compared with lee middle body basically same, but whether or increases, deformation degree greater. measurement finds increase stress. case explosion accident, highest chance here closely observed.

Language: Английский

Citations

0