Development of Real Time Machine Tools Component Utilization Data Acquisition for developing Dynamic Model of Maintenance Scheduling
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 no...
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2019-01-01
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Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/56/e3sconf_ic-amme2018_01015.pdf |
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doaj-3b94da7df5714937a622cb3fb032afed2021-03-02T09:20:15ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011300101510.1051/e3sconf/201913001015e3sconf_ic-amme2018_01015Development of Real Time Machine Tools Component Utilization Data Acquisition for developing Dynamic Model of Maintenance SchedulingBudi Harja HermanPrakosa TriYuwana Martawirya YatnaNurhadi IndraSagisky Januartha AndrianMaintenance 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/56/e3sconf_ic-amme2018_01015.pdfdata real timemachine data utilizationdynamic maintenance model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Budi Harja Herman Prakosa Tri Yuwana Martawirya Yatna Nurhadi Indra Sagisky Januartha Andrian |
spellingShingle |
Budi Harja Herman Prakosa Tri Yuwana Martawirya Yatna Nurhadi Indra Sagisky Januartha Andrian Development of Real Time Machine Tools Component Utilization Data Acquisition for developing Dynamic Model of Maintenance Scheduling E3S Web of Conferences data real time machine data utilization dynamic maintenance model |
author_facet |
Budi Harja Herman Prakosa Tri Yuwana Martawirya Yatna Nurhadi Indra Sagisky Januartha Andrian |
author_sort |
Budi Harja Herman |
title |
Development of Real Time Machine Tools Component Utilization Data Acquisition for developing Dynamic Model of Maintenance Scheduling |
title_short |
Development of Real Time Machine Tools Component Utilization Data Acquisition for developing Dynamic Model of Maintenance Scheduling |
title_full |
Development of Real Time Machine Tools Component Utilization Data Acquisition for developing Dynamic Model of Maintenance Scheduling |
title_fullStr |
Development of Real Time Machine Tools Component Utilization Data Acquisition for developing Dynamic Model of Maintenance Scheduling |
title_full_unstemmed |
Development of Real Time Machine Tools Component Utilization Data Acquisition for developing Dynamic Model of Maintenance Scheduling |
title_sort |
development of real time machine tools component utilization data acquisition for developing dynamic model of maintenance scheduling |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2019-01-01 |
description |
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. |
topic |
data real time machine data utilization dynamic maintenance model |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/56/e3sconf_ic-amme2018_01015.pdf |
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