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2019
DOI: 10.1007/s11015-019-00728-8
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Prediction of Potential Fracturing During Radial-Shear Rolling of Continuously Cast Copper Billets by Means of Computer Simulation

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Cited by 21 publications
(15 citation statements)
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“…According to Figure 7, the lowest strength (and the lowest hardness) is located approximately half of the billet radius. It is known that at three-high screw rolling there is a danger of the ring shaped fracture [20,27], and for that ring rigidity, the coefficient value under stress condition is the highest [1,20]. The rigidity coefficient under stress condition divided by three is known as stress triaxiality, which researchers recommend using for fracture prediction during screw rolling processes [28,29].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…According to Figure 7, the lowest strength (and the lowest hardness) is located approximately half of the billet radius. It is known that at three-high screw rolling there is a danger of the ring shaped fracture [20,27], and for that ring rigidity, the coefficient value under stress condition is the highest [1,20]. The rigidity coefficient under stress condition divided by three is known as stress triaxiality, which researchers recommend using for fracture prediction during screw rolling processes [28,29].…”
Section: Resultsmentioning
confidence: 99%
“…The joint use of computer simulation and experimental estimation is an effective technique for the investigation of RSR as shown in [20]. A comparative analysis of computer simulation results for SSS and the microstructure formation at RSR is of researchers’ interest.…”
Section: Introductionmentioning
confidence: 99%
“…It is shown in [15,16] that the mean stress -stress effective ratio (the authors of [12] name this ratio as a normalized mean stress, the same ration when multiplied by a constant named a rigidity coefficient under stress condition [12,[15][16][17]) provides a satisfactory fracture prediction during screw rolling processes. Using this ratio allows predicting the fracture location and identifying the main process parameters such as the number of rolls, the feed angle value, and some other parameters that affect the fracture, its value and location.…”
Section: Resultsmentioning
confidence: 99%
“…В работе [12] рассмотрены особенности износа валков и оправок прошивного стана с применением компьютерного моделирования. Кроме анализа энергосиловых параметров [13] и особенностей формоизменения, компьютерное моделирование также применяют для предсказания разрушения во время деформации [14] и формирования микроструктуры [15].…”
Section: Doi: 1017073/0368-0797-2020-10-848-855unclassified