Optimización del proceso de mecanizado de grandes piezas de fundición mediante la monitorización remota y la visualización 3D

Translated title of the contribution: Machining optimization of large casting components by remote monitoring and 3D visualization techniques

David Checa, Juanjo Zulaika, Iñigo Lazkanotegi, Andrés Bustillo

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The development of the different technologies included in the Industry 4.0 paradigm opens the door to an intensive monitoring of machine-tools. A data acquisition platform for both 2D and 3D analysis of machine performance under real factory conditions is presented in this study. The platform is composed of: 1) a data acquisition system that processes the information collected from the control memory and any other sensor integrated in the machine; 2) a remote server that stores the collected data; and, 3) a set of 2D and 3D interfaces both of which permit real-time calculation of KPIs and analysis of a specific machining process in a 3D virtual environment using Oculus Rift and Oculus Touch to detect anomalies in the machining process. This platform has been validated in a gantry milling machine machining large casting components. The results of this study demonstrate the detection of three types of anomalies in the machining process and the extent to which the immersive 3D environment makes it easier for the process engineer, especially in the case of junior process engineers, to detect them.

Translated title of the contributionMachining optimization of large casting components by remote monitoring and 3D visualization techniques
Original languageSpanish
Pages (from-to)668-674
Number of pages7
JournalDyna (Spain)
Volume93
Issue number6
DOIs
Publication statusPublished - Nov 2018

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