Prediction of influence parameters on the hot rolling process using finite element method and neural network

2009 ◽  
Vol 209 (4) ◽  
pp. 1920-1935 ◽  
Author(s):  
A.R. Shahani ◽  
S. Setayeshi ◽  
S.A. Nodamaie ◽  
M.A. Asadi ◽  
S. Rezaie
Keyword(s):  
Neural Network ◽  
Finite Element Method ◽  
Finite Element ◽  
Hot Rolling ◽  
Rolling Process ◽  
Hot Rolling Process ◽  
Element Method

Finite Element Analysis of Transient Thermal Problems of Work Rolls in Hot Rolling Process

1999 ◽  
Author(s):  
James D. Lee ◽  
Majid T. Manzari ◽  
Yin-Lin Shen ◽  
Wenjun Zeng
Keyword(s):  
Finite Element ◽  
Hot Rolling ◽  
Three Dimensional ◽  
Thermal Characteristics ◽  
Rolling Process ◽  
Thermal Problem ◽  
Element Analysis ◽  
Hot Rolling Process ◽  
Transient Thermal ◽  
Work Rolls

Abstract The three-dimensional transient thermal problem of work rolls in the entire hot rolling process has been formulated. It includes the time-varying boundary conditions specified at the roll surface taking the schedule of both rolling and idling cycles into consideration. The corresponding finite element equations are derived and solved by the Runge-Kutta-Verner method. The finite element solutions indicate that the temperature variations in the circumferential direction are overwhelming. Case studies unveil the thermal characteristics of the work rolls in various kinds of mill operations. Numerical results are presented and compared with Guo’s analytical solutions.

Multi-physics Analysis of Multi-chip LED Light Source Based on Finite Element Method and Artificial Neural Network

2019 ◽  
Vol 40 (6) ◽  
pp. 795-802 ◽  
Author(s):  
刘宏伟 LIU Hong-wei ◽  
牛萍娟 YU Dan-dan ◽  
郭 凯 NIU Ping-juan ◽  
张建新 ZHANG Zan-yun ◽  
王 闯 GUO Kai ◽  
...  
Keyword(s):  
Neural Network ◽  
Finite Element Method ◽  
Artificial Neural Network ◽  
Finite Element ◽  
Light Source ◽  
Led Light ◽  
Artificial Neural ◽  
Element Method
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