A tool breakage detection system using load signals of spindle motors in CNC machines

Hyeon Sung Cho; Ji Hyeong Han; Su Young Chi; Kwan Hee Yoo

doi:10.1109/ICUFN.2016.7537007

A tool breakage detection system using load signals of spindle motors in CNC machines

Hyeon Sung Cho
, Ji Hyeong Han
, Su Young Chi
, Kwan Hee Yoo

Dept. of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

This paper presents a new method for detecting tool breakages at CNC machines in real time. Corruptions of CNC tools in the manufacturing industry are a major impact on production management and quality control in the factories maintaining large quantities of CNC machines. Accordingly, from the viewpoint of an equipment management, monitoring damages of tools in real time is essential tasks. Solutions for this problems is to assign enough monitoring operators and they should continue this jobs for 24 hours. It is possible to occur human errors potentially during all-day monitoring processes, and these kind of tasks increase production costs. Thus, we propose a novel method to detect breakages of tools automatically, which detects a fracture state of tools using signals of CNC spindle motor loads. In addition, we presented the applied results of the proposed method to a manufacturing site.

Original language	English
Title of host publication	ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	160-163
Number of pages	4
ISBN (Electronic)	9781467399913
DOIs	https://doi.org/10.1109/ICUFN.2016.7537007
State	Published - 9 Aug 2016
Event	8th International Conference on Ubiquitous and Future Networks, ICUFN 2016 - Vienna, Austria Duration: 5 Jul 2016 → 8 Jul 2016

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
Volume	2016-August
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	8th International Conference on Ubiquitous and Future Networks, ICUFN 2016
Country/Territory	Austria
City	Vienna
Period	5/07/16 → 8/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

CNC
Spindle Load
Tool Breakage

Access to Document

10.1109/ICUFN.2016.7537007

Cite this

Cho, H. S., Han, J. H., Chi, S. Y., & Yoo, K. H. (2016). A tool breakage detection system using load signals of spindle motors in CNC machines. In ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks (pp. 160-163). Article 7537007 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2016-August). IEEE Computer Society. https://doi.org/10.1109/ICUFN.2016.7537007

@inproceedings{1f88379acac74f159275e3e9afab66a1,

title = "A tool breakage detection system using load signals of spindle motors in CNC machines",

abstract = "This paper presents a new method for detecting tool breakages at CNC machines in real time. Corruptions of CNC tools in the manufacturing industry are a major impact on production management and quality control in the factories maintaining large quantities of CNC machines. Accordingly, from the viewpoint of an equipment management, monitoring damages of tools in real time is essential tasks. Solutions for this problems is to assign enough monitoring operators and they should continue this jobs for 24 hours. It is possible to occur human errors potentially during all-day monitoring processes, and these kind of tasks increase production costs. Thus, we propose a novel method to detect breakages of tools automatically, which detects a fracture state of tools using signals of CNC spindle motor loads. In addition, we presented the applied results of the proposed method to a manufacturing site.",

keywords = "CNC, Spindle Load, Tool Breakage",

author = "Cho, \{Hyeon Sung\} and Han, \{Ji Hyeong\} and Chi, \{Su Young\} and Yoo, \{Kwan Hee\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016 ; Conference date: 05-07-2016 Through 08-07-2016",

year = "2016",

month = aug,

day = "9",

doi = "10.1109/ICUFN.2016.7537007",

language = "English",

series = "International Conference on Ubiquitous and Future Networks, ICUFN",

publisher = "IEEE Computer Society",

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booktitle = "ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks",

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Cho, HS, Han, JH, Chi, SY & Yoo, KH 2016, A tool breakage detection system using load signals of spindle motors in CNC machines. in ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks., 7537007, International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2016-August, IEEE Computer Society, pp. 160-163, 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016, Vienna, Austria, 5/07/16. https://doi.org/10.1109/ICUFN.2016.7537007

A tool breakage detection system using load signals of spindle motors in CNC machines. / Cho, Hyeon Sung; Han, Ji Hyeong; Chi, Su Young et al.
ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2016. p. 160-163 7537007 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2016-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A tool breakage detection system using load signals of spindle motors in CNC machines

AU - Cho, Hyeon Sung

AU - Han, Ji Hyeong

AU - Chi, Su Young

AU - Yoo, Kwan Hee

PY - 2016/8/9

Y1 - 2016/8/9

N2 - This paper presents a new method for detecting tool breakages at CNC machines in real time. Corruptions of CNC tools in the manufacturing industry are a major impact on production management and quality control in the factories maintaining large quantities of CNC machines. Accordingly, from the viewpoint of an equipment management, monitoring damages of tools in real time is essential tasks. Solutions for this problems is to assign enough monitoring operators and they should continue this jobs for 24 hours. It is possible to occur human errors potentially during all-day monitoring processes, and these kind of tasks increase production costs. Thus, we propose a novel method to detect breakages of tools automatically, which detects a fracture state of tools using signals of CNC spindle motor loads. In addition, we presented the applied results of the proposed method to a manufacturing site.

AB - This paper presents a new method for detecting tool breakages at CNC machines in real time. Corruptions of CNC tools in the manufacturing industry are a major impact on production management and quality control in the factories maintaining large quantities of CNC machines. Accordingly, from the viewpoint of an equipment management, monitoring damages of tools in real time is essential tasks. Solutions for this problems is to assign enough monitoring operators and they should continue this jobs for 24 hours. It is possible to occur human errors potentially during all-day monitoring processes, and these kind of tasks increase production costs. Thus, we propose a novel method to detect breakages of tools automatically, which detects a fracture state of tools using signals of CNC spindle motor loads. In addition, we presented the applied results of the proposed method to a manufacturing site.

KW - CNC

KW - Spindle Load

KW - Tool Breakage

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M3 - Conference contribution

AN - SCOPUS:84983261437

T3 - International Conference on Ubiquitous and Future Networks, ICUFN

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BT - ICUFN 2016 - 8th International Conference on Ubiquitous and Future Networks

PB - IEEE Computer Society

T2 - 8th International Conference on Ubiquitous and Future Networks, ICUFN 2016

Y2 - 5 July 2016 through 8 July 2016

ER -

A tool breakage detection system using load signals of spindle motors in CNC machines

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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