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MACHINING OPTIMIZATION OF LARGE CASTING COMPONENTS BY REMOTE MONITORING AND 3D VISUALIZATION TECHNIQUES

NOVEMBER 2018   -  Volume: 93 -  Pages: 668-674

DOI:

https://doi.org/10.6036/8816

Authors:

DAVID CHECA -
JUANJO ZULAIKA MUNIAIN
- IÑIGO LAZKANOTEGI -
ANDRÉS BUSTILLO IGLESIAS

Disciplines:

  • Industrial technology (PROCESOS INDUSTRIALES )

Downloads:   38

Cites in Web of Science:  1

How to cite this paper:  
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Received Date :   2 May 2018

Reviewing Date :   2 May 2018

Accepted Date :   26 June 2018


Key words:
machine-tool, virtual reality, key performance indicator, machining optimization, máquina herramienta, realidad virtual, indicadores claves de rendimiento, optimización del mecanizado
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

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.

Palabras clave: machine-tool, virtual reality, key performance indicator, machining optimization

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