Development of Radial-Axial Ring Rolling Experimental Equipment and Calculation of Ring Rolling Forces

2013 ◽  
Vol 652-654 ◽  
pp. 1980-1983 ◽  
Author(s):  
Yu Long Tan ◽  
Qiang Wang ◽  
Shuang Hui Han ◽  
Fang He

By referring to the heavy duty radial-axial ring rolling mill in production, a radial-axial ring rolling experimental equipment was designed and developed. Based on the principle of similarity, the mathematical relationship and calculation method between experimental rolling forces and actual ones in the process of radial-axial ring rolling were established. This experimental equipment has many advantages, such as compact structures, full functions, small deformation and more safety and reliability, which can be used in experimental study and calculation of ring rolling forces.

2013 ◽  
Vol 690-693 ◽  
pp. 2201-2204
Author(s):  
Yu Long Tan ◽  
Qiang Wang ◽  
Shuang Hui Han ◽  
Fang He

The FEM model of radial-axial ring rolling experimental equipment was established by using ANSYS through processing contact, constraints and loads. The structure stiffness and strength of both radial rolling system and axial rolling system were analyzed based on the analyses of distributions of Von Misese stress, equivalent strain and deformation. It is shown that both the two systems will be within the safe range without any plastic deformation during ring rolling process, and their stiffness is also satisfied with design requirement, which proves the successful design of the radial-axial ring rolling experimental equipment.


Metals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 833
Author(s):  
Irene Mirandola ◽  
Guido A. Berti ◽  
Roberto Caracciolo ◽  
Seungro Lee ◽  
Naksoo Kim ◽  
...  

This research provides an insight on the performances of machine learning (ML)-based algorithms for the estimation of the energy consumption in metal forming processes and is applied to the radial-axial ring rolling process. To define the mutual influence between ring geometry, process settings, and ring rolling mill geometries with the resulting energy consumption, measured in terms of the force integral over the processing time (FIOT), FEM simulations have been implemented in the commercial SW Simufact Forming 15. A total of 380 finite element simulations with rings ranging from 650 mm < DF < 2000 mm have been implemented and constitute the bulk of the training and validation datasets. Both finite element simulation settings (input), as well as the FI (output), have been utilized for the training of eight machine learning models, implemented with Python scripts. The results allow defining that the Gradient Boosting (GB) method is the most reliable for the FIOT prediction in forming processes, being its maximum and average errors equal to 9.03% and 3.18%, respectively. The trained ML models have been also applied to own and literature experimental cases, showing a maximum and average error equal to 8.00% and 5.70%, respectively, thus proving once again its reliability.


2008 ◽  
Vol 575-578 ◽  
pp. 367-372 ◽  
Author(s):  
L.G. Guo ◽  
He Yang

Nowadays, 3D-FE Modeling and simulation is an indispensable method for the optimum design and precise control of radial-axial ring rolling process for its complexities. In this paper, the unique forming characteristics of radial-axial ring rolling have first been summarized, and then some key technologies for 3D-FE modeling of the process have been presented and their solution schemes have been given out, lastly the modeling and simulation of radial-axial ring rolling process have been realized using elastic-plastic dynamic explicit procedure under ABAQUS environment. The work provides an important basis and platform for the future investigations, such as forming mechanism and laws, process optimum design and precise control.


2014 ◽  
Vol 72 (9-12) ◽  
pp. 1161-1173 ◽  
Author(s):  
Xinghui Han ◽  
Lin Hua ◽  
Xiaokai Wang ◽  
Guanghua Zhou ◽  
Bohan Lu

2007 ◽  
Vol 561-565 ◽  
pp. 1875-1878 ◽  
Author(s):  
Yong Xing Hao ◽  
Lin Hua ◽  
Gui Shan Chen ◽  
Dao Ming Wang

Non-stability factors affect stability of radial ring rolling process, and lead to fluctuating of ring position. This decreases rolling precision. Evaluating stability of the process is very important. A stability evaluating method is proposed. The stability can be measured with the mean square root of sequence of oscillation of ring geometrical centerline displacement. Using ABAQUS/Explicit, the stability is analyzed. It is showed that guide-roll position angle has the significant effect to the stability. If guide-roll is located at the tangential position to the ring’s fringe, the stability will vary with the angle between two planes. One passes through axes of guide roll and ring blank, and another passes through axes of drive roll and ring blank. The stability is highest when guide roll is situated at the position angle of 100˚to 130˚at exit side of ring rolling mill.


2018 ◽  
Vol 15 ◽  
pp. 72-80 ◽  
Author(s):  
Lin Hua ◽  
Jiadong Deng ◽  
Dongsheng Qian ◽  
Zhe Chen ◽  
Jun Shao
Keyword(s):  

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