Applicability of Artificial Neural Network and Nonlinear Regression to Predict Mechanical Properties of Equal Channel Angular Rolled Al5083 Sheets

Applicability of Artificial Neural Network and Nonlinear Regression to Predict Mechanical Properties of Equal Channel Angular Rolled Al5083 Sheets

Abstract Equal channel angular rolling (ECAR) is a severe plastic deformation (SPD) process in order to achieve ultrafine-grained (UFG) structure. In this paper, the mechanical properties of ECAR process using artificial neural network (ANN) and nonlinear regression have been illustrated. For this p...

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Bibliographic Details
Main Authors: Masoud Mahmoodi, Ali Naderi
Format: Article
Language:English
Published: Marcílio Alves
Series:Latin American Journal of Solids and Structures
Subjects:
ECAR
Mechanical properties
Ultrafine-grained
Artificial neural network
Nonlinear regression
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252016000801515&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252016000801515&lng=en&tlng=en

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