A tool breakage detection system using load signals of spindle motors in CNC machines
| Autor: | Suyoung Chi, Hyeon Sung Cho, Kwan-Hee Yoo, Ji-Hyeong Han |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
business.industry Computer science media_common.quotation_subject ComputerApplications_COMPUTERSINOTHERSYSTEMS Control engineering 02 engineering and technology 020901 industrial engineering & automation Machining Production manager Manufacturing 0202 electrical engineering electronic engineering information engineering Numerical control 020201 artificial intelligence & image processing Quality (business) State (computer science) business media_common |
| Zdroj: | ICUFN |
| DOI: | 10.1109/icufn.2016.7537007 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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