Issue |
E3S Web Conf.
Volume 130, 2019
The 1st International Conference on Automotive, Manufacturing, and Mechanical Engineering (IC-AMME 2018)
|
|
---|---|---|
Article Number | 01015 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/e3sconf/201913001015 | |
Published online | 15 November 2019 |
Development of Real Time Machine Tools Component Utilization Data Acquisition for developing Dynamic Model of Maintenance Scheduling
1
Department of Manufacturing Engineering, Politeknik Manufaktur Bandung,
St. Kanayakan No.21 Dago,
Bandung,
40135,
Indonesia
2
Department of Mechanical Engineering, Institut Teknologi Bandung,
St. Ganesha No.10,
Bandung,
40132,
Indonesia
* Corresponding author: herman@polman-bandung.ac.id
Maintenance scheduling accuracy of CNC machine tools components should be calculated based on actual data utilization of each component. Actual usage of each component can be approached by component grouping based on machine operation phase utilization, which is divided into Power-On, cutting and noncutting phase. This paper describes a study on development of machine monitoring data utilization for obtaining real time information of spindle and machine axis positions as well as current consumption of spindle servo motor. Data collection was conducted by a termination method on wiring feedback control of spindle encoder signal and axes encoder signals. On the other hand, current consumption of spindle servo motor was measured by a CT current transducer. Afterward, a WEMOS microcontroller was used to process and to transfer data wirelessly to a Raspberry which acted as a broker. The data will used to update the data status of CNC Machine Tools utilization database, where it was communicated by using a MQTT protocol. A monitoring system has been developed and resulted the real time information of machine phase utilization. It will be further utilized as primary data input for building a dynamic maintenance model.
Key words: Data real time / machine data utilization / dynamic maintenance model
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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