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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Main Authors: Budi Harja Herman, Prakosa Tri, Yuwana Martawirya Yatna, Nurhadi Indra, Sagisky Januartha Andrian
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/56/e3sconf_ic-amme2018_01015.pdf
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spelling 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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