2026-04-17T07:49:25Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/74112023-03-27T11:44:53Zcom_10259_3847com_10259_5086com_10259_2604col_10259_7409
Repositorio Institucional de la Universidad de Burgos
author
Bustillo Iglesias, Andrés
author
Sedano, Javier
author
Curiel Herrera, Leticia Elena
author
Villar, José Ramón
author
Corchado, Emilio
2023-02-07T12:06:46Z
2023-02-07T12:06:46Z
2009
978-3-540-93905-4
1867-5662
http://hdl.handle.net/10259/7411
10.1007/978-3-540-93905-4_70
1867-5670
In this paper we present a soft computing system developed to optimize the laser milling manufacture of high value steel components, a relatively new and interesting industrial technique. This multidisciplinary study is based on the application of neural projection models in conjunction with identification systems, in order to find the optimal operating conditions in this industrial issue. Sensors on a laser milling centre capture the data used in this industrial case study defined under the frame of a machine-tool that manufactures steel components like high value molds and dies. The presented model is based on a two-phase application. The first phase uses a neural projection model capable of determine if the data collected is informative enough based on the existence of internal patterns. The second phase is focus on identifying a model for the laser-milling process based on low-order models such as Black Box ones. The whole system is capable of approximating the optimal form of the model. Finally, it is shown that the Box-Jenkins algorithm, which calculates the function of a linear system from its input and output samples, is the most appropriate model to control such industrial task for the case of steel components.
eng
Test Piece
Angle Error
Wall Angle
Steel Component
Soft Computing Model
A Soft Computing System for Modelling the Manufacture of Steel Components
info:eu-repo/semantics/bookPart
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URL
https://riubu.ubu.es/bitstream/10259/7411/1/A_soft_computing_system_modelling_manufacture_steel_components.pdf
File
MD5
0068483b15590a3026f48660512a118b
154729
application/pdf
A_soft_computing_system_modelling_manufacture_steel_components.pdf