Finite Element Analysis of Externally Round Grooved Profile Ring Rolling Process

A dynamic explicit finite element solver is developed for numerical simulation of metal ring rolling process, which is a complex process of material nonlinearity, geometric nonlinearity and contact nonlinearity. An elastro-plastic dynamic explicit finite element equation and central difference algorithm are used. To control hourglass, a stable matrix hourglass control method is used to ensure energy balance in the simulation. Two-step method of global search and local search is used to reduce the contact judging time. In the elastic-plastic stress updating, tangent forecasting and radical return algorithm are used to eliminate the stress deviate from the yield surface. The accuracy and stability of the solver is verified by comparison of two ring rolling processes with the experimental results.

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Application of artificial neural network and genetic algorithm to predict and optimize load and torque in T-section profile ring rolling

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406219861989 ◽

2019 ◽

Vol 233 (17) ◽

pp. 5966-5976

Author(s):

Ali Parvizi ◽

Hamid Reza Rohani Raftar

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Finite Element ◽

Rolling Process ◽

Ring Rolling ◽

Section Profile ◽

Artificial Neural ◽

Ring Rolling Process ◽

Profile Ring Rolling

Artificial neural network is implemented to predict the required load and torque in T-section profile ring rolling process for the first time in this study. Moreover, an optimal condition of T-section profile ring rolling process for specific limit of input factor is acquired using genetic algorithm technique. Various three-dimensional finite element simulations are carried out for different collections of process variables to obtain initial data for training and validation of the neural network. Besides, the finite element model is verified via comparison with the experimental results of the other investigators. The back-propagation algorithm is utilized to develop Levenberg–Marquardt feed-forward network and the optimum architecture is achieved by estimating the performance considering different number of hidden layers and neurons. It is concluded that results of artificial neural network predictions have an appropriate conformity with those ones from simulation and experiments. Moreover, a reasonable accuracy is obtained from the implemented model by which the prediction of ring rolling load and torque in different conditions can be achieved.

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Finite Element Analysis of Rim Ring Rolling Forming of Bicycle Aluminum Alloy

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.445.231 ◽

2012 ◽

Vol 445 ◽

pp. 231-236

Author(s):

Dyi Cheng Chen ◽

Bao Yan Lai ◽

Ci Syong You

Keyword(s):

Finite Element Analysis ◽

Finite Element ◽

Aluminum Alloy ◽

Effective Strain ◽

Rolling Process ◽

Ring Rolling ◽

Rigid Plastic ◽

Element Analysis ◽

Rolling Velocity ◽

Plastic Deformation Behavior

The bicycle is not only a pollution-free method of transportation, but also has sport and recreation functions. Therefore, the bicycle attracted attention in now society gradually. This study uses the rigid-plastic finite element (FE) DEFORMTM software to investigate the plastic deformation behavior of a 7075 aluminum alloy workpiece as it is formed through a ring rolling die. This study systematically investigates the relative influences of ring rolling velocity, entering velocity, and workpiece temperature under various ring rolling forming conditions. The effective strain, effective stress, and workpiece damage distribution in the ring rolling process are also investigated. Results confirm the suitability of the proposed design process, which allows a ring rolling manufacturer to achieve a perfect design during finite element analysis.

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Finite Element Modeling of Ring Rolling Process

Materials Today Proceedings ◽

10.1016/j.matpr.2019.03.055 ◽

2019 ◽

Vol 11 ◽

pp. 843-848 ◽

Cited By ~ 1

Author(s):

Prabas Banerjee ◽

Nirmal Baran Hui

Keyword(s):

Finite Element ◽

Finite Element Modeling ◽

Rolling Process ◽

Ring Rolling ◽

Element Modeling ◽

Ring Rolling Process

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A Comparison between Isothermal and Coupled Thermo-Mechanical FE Analyses of the Ring Rolling Process

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.264-265.235 ◽

2011 ◽

Vol 264-265 ◽

pp. 235-240

Author(s):

Nassir Anjami ◽

Ali Basti

Keyword(s):

Finite Element ◽

Rolling Process ◽

Ring Rolling ◽

Continuous Change ◽

Rigid Plastic ◽

Mechanical And Physical Properties ◽

Prediction And Control ◽

3D Deformation ◽

Ring Rolling Process ◽

And Control

Ring rolling process, especially hot rolling is characterized by 3D deformation, continuous change of thickness and height, high nonlinearity, non-steady flow and asymmetry. It involves both mechanical and thermal behaviors. Most mechanical and physical properties and boundary conditions are temperature related. The heat flow and stress analysis cannot be analyzed separately. In this study, both isothermal and coupled thermo-mechanical (CTM) 3D rigid-plastic finite element (FE) models of the hot ring rolling (HRR) process are developed to investigate their differences in accurately and quickly predicting the process. The results show that the latter should be more advantageous to the more accurate prediction and control of microstructure and properties of the ring.

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