Paper Title:
Input Parameters Determination for Predicting Ram Speed and Billet Temperature for the First Billet
  Abstract

The aim of this paper is to present the results of the first step of a defined methodology for the neural network tool development. That first step is to studying the variables that have influence on extrusion process, especially in those that affect billet temperature and extrusion speed. In order to determine those parameters, a preliminary analysis was conducted with experimental data from real industry. Then, a multiple regression analysis was carried out to define which parameters will be the inputs of the neural network prediction tool.

  Info
Periodical
Edited by
Luca Tomesani and Lorenzo Donati
Pages
161-168
DOI
10.4028/www.scientific.net/KEM.367.161
Citation
M. Sabater, M. L. García-Romeu, J. de Ciurana, "Input Parameters Determination for Predicting Ram Speed and Billet Temperature for the First Billet", Key Engineering Materials, Vol. 367, pp. 161-168, 2008
Online since
February 2008
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