2026-06-29T22:44:42Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/93662024-07-12T00:05:26Zcom_10259_3847com_10259_5086com_10259_2604col_10259_7109
Repositorio Institucional de la Universidad de Burgos
author
Bustillo Iglesias, Andrés
author
Sedano, Javier
author
Ramón Villar, José
author
Curiel Herrera, Leticia Elena
author
Corchado, Emilio
2024-07-11T09:45:56Z
2024-07-11T09:45:56Z
2008
0302-9743
http://hdl.handle.net/10259/9366
10.1007/978-3-540-88906-9_63
1611-3349
Laser milling is a relatively new micromanufacturing technique in the production of copper and other metallic components. This study presents multidisciplinary research, which is based on unsupervised connectionist architectures in conjunction with modelling systems, on the determination of the optimal operating conditions in this industrial process. Sensors on a laser milling centre relay the data used in this industrial case study of a machine-tool that manufactures copper components for high value micro-coolers. The two-phase application of the connectionist architectures is capable of identifying a model for the laser-milling process based on low-order models such as Black Box. The final 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 these industrial tasks.
eng
AI for Modelling the Laser Milling of Copper Components
info:eu-repo/semantics/conferenceObject
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URL
https://riubu.ubu.es/bitstream/10259/9366/1/Bustillo-AI_modelling_laser_milling_2008.pdf
File
MD5
70aeb04bb86a28035c04ca5ee2896457
353227
application/pdf
Bustillo-AI_modelling_laser_milling_2008.pdf