Projects :: Intelligent manufacturing and industry

Analysis of power in the drilling process to move towards new control strategies. Análisis de la Potencia en el Proceso de Taladrado para el Planteamiento de Nuevas Estrategias de Control (PT10048)

The aim of this work is to analyse drilling process behaviour to evaluate the possibilities of designing a control system that allows us to increase productivity and to efficiently manage tools with a power supervision loop. In order to carry out this analysis we first propose a testing methodology to extract maximum knowledge about the process. This trial methodology involves trials in both a stable regime and degraded regimes caused by the wear or breakage of the tool. Second, it is necessary to define and...

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Application of intelligent control techniques in wire electrical discharge machining. Aplicación de técnicas de control inteligente en el proceso de electroerosión por hilo (UPV05/114)

Based on results from previous projects (Empirical modelling of Wire electrical discharge machining to optimise the discharge quality, and Analysis and Diagnosis of discharge quality in wire electrical discharge machining), which show that, although the basic features of the degraded behaviours are the same in both thicknesses analysed, the thresholds met by virtual measures differ. Thus, we propose the definition of one structure that can automatically adapt parameters in a given range of thicknesses, with the aim of...

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Analysis and diagnosis of the quality of discharge in the electrical discharge machining process. Análisis y diagnóstico de la calidad de la descarga en el proceso de electroerosión por hilo (1/UPV00146.363-T-15319/2003)

The main aim of this project is to determine the quality of discharge in wire electrical discharge machining from a database created with a comprehensive set of experiences in both stable and degraded regimes. The project focuses on the study and description of the quality of discharge so that in the future, the control system of the machine is capable of detecting the tendency of the process early and can correct the malfunctioning in advance. Thus, based on previous results (Project “Empirical modelling...

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