Statistical damage analysis of extrusion processes using finite element method and neural networks simulation

2009 ◽  
Vol 45 (10) ◽  
pp. 640-649 ◽  
Author(s):  
Ridha Hambli
2010 ◽  
Vol 113-116 ◽  
pp. 1707-1711
Author(s):  
Jian Hua Hu ◽  
Yuan Hua Shuang

A method combines a back propagation neural networks (BPNN) with the data obtained using finite element method (FEM) is introduced in this paper as an approach to solve reverse problems. This paper presents the feasibility of this approach. FEM results are used to train the BPNN. Inputs of the network are associated with dimension deviation values of the steel pipe, and outputs correspond to its pass parameters. Training of the network ensures low error and good convergence of the learning process. At last, a group of optimal pass parameters are obtained, and reliability and accuracy of the parameters are verified by FEM simulation.


2017 ◽  
Vol 62 (1) ◽  
pp. 435-442 ◽  
Author(s):  
P. Golewski ◽  
J. Gajewski ◽  
T. Sadowski

Abstract Artificial neural networks [ANNs] are an effective method for predicting and classifying variables. This article presents the application of an integrated system based on artificial neural networks and calculations by the finite element method [FEM] for the optimization of geometry of a thin-walled element of an air structure. To ensure optimal structure, the structure’s geometry was modified by creating side holes and ribs, also with holes. The main criterion of optimization was to reduce the structure’s weight at the lowest possible deformation of the tested object. The numerical tests concerned a fragment of an elevator used in the “Bryza” aircraft. The tests were conducted for networks with radial basis functions [RBF] and multilayer perceptrons [MLP]. The calculations described in the paper are an attempt at testing the FEM - ANN system with respect to design optimization.


2013 ◽  
Vol 48 (25) ◽  
pp. 3091-3109 ◽  
Author(s):  
Jian Xu ◽  
Stepan Vladimirovitch Lomov ◽  
Ignaas Verpoest ◽  
Subbareddy Daggumati ◽  
Wim Van Paepegem ◽  
...  

2012 ◽  
Vol 524-527 ◽  
pp. 1602-1605
Author(s):  
Zhi Yong Zhang ◽  
Chi Ai ◽  
Hong Zheng

The theories of rock and soil mechanics and nonlinear finite element method were introduced to casing damage analysis, the physical models of casing damage were established, the relation between the water injection pressure and strata dislocation was investigated, also the influence of fault was considered. The results based on the nonlinear finite element method show that the water injection pressure is the direct cause of strata dislocation. The fault has significant influence to strata dislocation. When the fault exists, even the natural pressure of water injection may cause considerable local strata dislocation. The high pressure of water injection will not produce strata dislocation at the absence of faults. The casing damage near the fault is probably caused by strata dislocation, but the casing damage far from the fault may be considered causing by other factors. The present method offers theoretical reference for taking measures scientifically to prevent and control casing damage, and also offers a new idea for casing damage analysis.


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