“…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.…”
Radial-shear rolling (RSR) of titanium alloy billets was realized in a three-high rolling mill. Experimental rolling was simulated using DEFORM software. The purpose was to reveal how stress-strain state parameters, grain structure and hardness vary along the billet’s radius in the stationary stage of the RSR process. It was also the goal to establish a relation between stress state parameters, hardness and grain structure. Changes in the accumulated strain and the stress triaxiality were established by computer simulation. Hardness and grain size changes were obtained after experimental rolling. The novelty aspect is that both computer simulation and experimental rolling showed that there is a ring-shape area with lowered strength in the billet’s cross-section. The radius of the ring-shape area was predicted as a result of the research.
“…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.…”
Radial-shear rolling (RSR) of titanium alloy billets was realized in a three-high rolling mill. Experimental rolling was simulated using DEFORM software. The purpose was to reveal how stress-strain state parameters, grain structure and hardness vary along the billet’s radius in the stationary stage of the RSR process. It was also the goal to establish a relation between stress state parameters, hardness and grain structure. Changes in the accumulated strain and the stress triaxiality were established by computer simulation. Hardness and grain size changes were obtained after experimental rolling. The novelty aspect is that both computer simulation and experimental rolling showed that there is a ring-shape area with lowered strength in the billet’s cross-section. The radius of the ring-shape area was predicted as a result of the research.
“…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.…”
Two-high screw rolling of billets was carried out using a MISIS-130D rolling mill. AISI 321 steel billets were deformed with feed angles of rolls of 6°, 12°, 18° and 24°. The diameter reduction was 17%, with the initial billets’ diameter being 60 mm. An axial fracture, the so-called Mannesmann effect, of the billets was observed after screw rolling. The experimental rolling was simulated using QForm finite element method software. Initial and boundary conditions were set in concordance with the experimental rolling. Several damage criteria were used for fracture prediction during computer simulation. The results of computer simulation of fracture prediction were compared with the billets fracture after screw rolling for stationary and non-stationary stages. The most effective parameter (in terms of fracture prediction) is triaxiality. The distribution of this parameter showed that the higher the feed angle value is, the lower the fracture risk is. Notably, the risk of fracture is lower at a stationary stage compared with the same risk of fracture at a non-stationary stage; the listed trends agree with experimental rolling results. The Oyane, Ayada, Brozzo, and Cockroft-Latham Normalized criteria are partly effective. These criteria are ineffective for fracture prediction 6 degrees feed angle of rolls because they showed that fracture is most probable at the billet’s surface, which contradicts the experimental rolling results. All these criteria are partly effective when predicting a less fracture risk at a stationary stage compared with the same criteria at a non-stationary stage or when predicting a decrease of fracture with increasing the rolls feed angle.
“…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].…”
The article analyzes the piercing and rolling process of seamless pipes on PRP 70-270 of JSC “VMP” in terms of power parameters, piercing time and geometric sizes of pipes. The research results were compared with the results of computer simulation on software package QFORM 3D. For simulation, the deformation zones were designed for piercing a mold tube with dimensions of 203×16.5 mm in one pass on a mandrel with diameter of 162 mm and in two passes of piercing and rolling-off on mandrels with diameter of 76 and 162 mm, respectively. From the obtained data on the power parameters, it was found that from the point of view of energy consumption, piercing in one pass seems more appropriate. However, when piercing in one pass, wear resistance of the mandrels sharply decreases, since the contact time between the tool and the hot metal increases. This leads to a decrease in quality of the pipes’ inner surface, more frequent replacement of the tool and increased downtime of the equipment. During simulation, the selected parameter of the friction factor has a significant impact on the value of power parameters (torque and power consumption) and piercing time. The dependences of changing power parameters and piercing time on the friction factor during piercing in a two-roll mill with guards are obtained. With increase of the friction factor, piercing time decreases and torque and rolling power increase. The simulation results are correlated with results of experimental rolling. With a correctly chosen value of the friction factor, power parameters and geometry of the mold tube can be quite accurately predicted by computer modeling.
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