A Soft Computing System to Perform Face Milling Operations

In this paper we present a soft computing system developed to optimize the face milling operation under High Speed conditions in the manufacture of steel components like molds with deep cavities. This applied research presents a multidisciplinary study 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 milling centre capture the data used in this industrial case study defined under the frame of a machine-tool that manufactures industrial tools. 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. The second phase is focus on identifying a model for the face 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 BoxJenkins a...

• Type: Conference
• Year: 2009
• Where: IWANN
• Authors: Raquel Redondo, Pedro Santos, Andrés Bustillo, Javier Sedano, José Ramón Villar, Maritza Correa, José Ramón Alique, Emilio Corchado
• Keywords: Face Milling Operation, IWANN 2009, Neural Projection Model, Optimal Operating Conditions