Results 261 to 270 of about 18,937 (288)
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Improved Prediction of External Pressure Collapse of Seamless Pipe
Volume 3: Pipeline and Riser Technology, 2009Seamless pipe typically features well controlled average wall thickness around its cross-section, but is prone to significant local thickness variation arising from the manufacturing process. Pipeline design codes, such as DNV OS-F101, provide little guidance on how to treat thickness variation whilst designing for collapse resistance.
Josef Navarro, Philip Cooper
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Seamless Prediction of Monsoon Onset and Active/Break Phases
2019A K Sahai +2 more
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Yield prediction for seamless tubing processes: a computational intelligence approach
International Journal of Advanced Manufacturing Technology, 2007Seamless tubing is the most commonly used process for high quality pipe products due to its ability to provide material consistency. However, the yield is hindered by complex workmanship and manufacturing operations, with the resulting risk of flaws, low productivity, and high manufacturing costs.
Samuel H Huang
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Transfer learning of deep material network for seamless structure–property predictions
Computational Mechanics, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zeliang Liu, C. T. Wu, M. Koishi
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Predicting the Optimum Process Parameters for Seamless Tube Rolling with FEM and BPNN
2009 WRI World Congress on Computer Science and Information Engineering, 2009The objective of the designer in tube rolling is to choose the process parameters that provide for acceptable tube diameter, wall thickness at the end of the rolling process. Nowadays, the empirical know-how of the designer is still decisive for the process parameters.
Jian hua Hu, Yuan hua Shuang
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Seamless Data Integration for Predictive Learning Environments
This research explores predictive learning structures in connected environments and shows that seamless integration of multi-purpose data through intelligent architectures enables adaptive and personalized learning. Leveraging the Internet of Things, artificial intelligence, and real-time analytics, educational systems are able to accurately predict ...Zornitsa Yordanova, Hamed Nozari
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Distortion Prediction in Quenching Seamless Pipes of Low-Carbon Steel
Materials Performance and Characterization, 2018Abstract Quenching is an important pipe production step that can also be responsible for geometric distortions in steel parts, depending on cooling heterogeneities, thermal contractions, and changes in the steel microstructure. The quenching stage generally leads to an increase in the outside diameter (OD) of the pipes, and the ...
A. C. L. Dores +5 more
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Climate Predictions @ DWD – towards a seamless climate prediction website
To support decision-making processes, Germany's National Meteorological Service, Deutscher Wetterdienst (DWD) is developing an operational seamless climate prediction service. Climate predictions from subseasonal to the decadal time scales are consistently presented on a single platform, the DWD climate predictions website (http://www.dwd.de ...Birgit Mannig +8 more
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Learning from experience: seamless prediction of inhabitants' needs.
2016According to the vision of Mark Weiser (considered the father of ubiquitous computing), the most advanced technologies are those that disappear: computer technology should become invisible, and all the objects surrounding us must possess sufficient computing capacity to interact with users and their surroundings while the entire physical environment ...
Miori V., Russo D.
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