Finite Element Simulation of the Influence of the Bending Roll Profile on the Stress-Strain State of Billets for Longitudinal-Welded Rolled Pipes

Гуревич, Л. М.; Новиков, Р Е; Bannikov, Alexandr I.; Pronichev, D. V.; Frunkin, D. B.

doi:10.1007/978-3-030-81691-9_20

Cited by 1 publication

(1 citation statement)

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“…In another study, the influence of bending roll profiles on the stress-strain state of billets for longitudinally welded rolled pipes was investigated using 3D finite-element modeling. The researchers explored alternative methods for lowering the upper roller of a traditional profile during the bending process [10]. By analyzing the resulting geometry, deformations, and stress distribution, they identified areas of the billets that experienced the main load and underwent plastic deformation and local thinning.…”

Section: Introductionmentioning

confidence: 99%

Application-Oriented Data Analytics in Large-Scale Metal Sheet Bending

Penalva,

Martín,

Ruiz

et al. 2023

Applied Sciences

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The sheet-metal-forming process is crucial in manufacturing various products, including pipes, cans, and containers. Despite its significance, controlling this complex process is challenging and may lead to defects and inefficiencies. This study introduces a novel approach to monitor the sheet-metal-forming process, specifically focusing on the rolling of cans in the oil-and-gas sector. The methodology employed in this work involves the application of temporal-signal-processing and artificial-intelligence (AI) techniques for monitoring and optimizing the manufacturing process. Temporal-signal-processing techniques, such as Markov transition fields (MTFs), are utilized to transform time series data into images, enabling the identification of patterns and anomalies. synamic time warping (DTW) aligns time series data, accommodating variations in speed or timing across different rolling processes. K-medoids clustering identifies representative points, characterizing distinct phases of the rolling process. The results not only demonstrate the effectiveness of this framework in monitoring the rolling process but also lay the foundation for the practical application of these methodologies. This allows operators to work with a simpler characterization source, facilitating a more straightforward interpretation of the manufacturing process.

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Section: Introductionmentioning

confidence: 99%