Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear)
This study aims to develop a monitoring system, which can automatically detect tool wear in end-milling operation. A feature of this system is the utilization of the predicted cutting torque for detecting the difference between normal and cutting trouble. The cutting torque predicted by a cutting fo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | Japanese |
| Published: |
The Japan Society of Mechanical Engineers
2017-12-01
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| Series: | Nihon Kikai Gakkai ronbunshu |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/transjsme/84/857/84_17-00433/_pdf/-char/en |
| _version_ | 1798015079047757824 |
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| author | Isamu NISHIDA Muneharu TATEKAWA Ryuta SATO Keiichi SHIRASE |
| author_facet | Isamu NISHIDA Muneharu TATEKAWA Ryuta SATO Keiichi SHIRASE |
| author_sort | Isamu NISHIDA |
| collection | DOAJ |
| description | This study aims to develop a monitoring system, which can automatically detect tool wear in end-milling operation. A feature of this system is the utilization of the predicted cutting torque for detecting the difference between normal and cutting trouble. The cutting torque predicted by a cutting force simulator is compared with the cutting torque measured and evaluated from the driving torque of a spindle motor. Because the dynamic change of the cutting torque can be predicted by the cutting force simulator as the reference cutting torque, it is possible to detect cutting trouble correctly without disturbance arise from the changes of the cutting conditions and the machining form at every moment. In the cutting simulator, this study uses the workpiece voxel model in order to calculate the uncut chip thickness for the estimation of the cutting force. For the tool wear detection, 200 % increase of the average cutting torque is set as the threshold to detect 300 μm flank wear. In an experimental milling of a workpiece with holes using a worn square end mill, it is confirmed that the increase of the average cutting torque can be identified clearly in both of stationary and transient milling situations. It was verified that the tool flank wear could be detected correctly even in the dynamic change of milling operation. |
| first_indexed | 2024-04-11T15:28:38Z |
| format | Article |
| id | doaj.art-13ff8b1da90c4df2897df52dcee7f81e |
| institution | Directory Open Access Journal |
| issn | 2187-9761 |
| language | Japanese |
| last_indexed | 2024-04-11T15:28:38Z |
| publishDate | 2017-12-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Nihon Kikai Gakkai ronbunshu |
| spelling | doaj.art-13ff8b1da90c4df2897df52dcee7f81e2022-12-22T04:16:11ZjpnThe Japan Society of Mechanical EngineersNihon Kikai Gakkai ronbunshu2187-97612017-12-018485717-0043317-0043310.1299/transjsme.17-00433transjsmeCutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear)Isamu NISHIDA0Muneharu TATEKAWA1Ryuta SATO2Keiichi SHIRASE3Department of Mechanical Engineering, Graduate School of Engineering, Kobe UniversityToyota Motor CorporationDepartment of Mechanical Engineering, Graduate School of Engineering, Kobe UniversityDepartment of Mechanical Engineering, Graduate School of Engineering, Kobe UniversityThis study aims to develop a monitoring system, which can automatically detect tool wear in end-milling operation. A feature of this system is the utilization of the predicted cutting torque for detecting the difference between normal and cutting trouble. The cutting torque predicted by a cutting force simulator is compared with the cutting torque measured and evaluated from the driving torque of a spindle motor. Because the dynamic change of the cutting torque can be predicted by the cutting force simulator as the reference cutting torque, it is possible to detect cutting trouble correctly without disturbance arise from the changes of the cutting conditions and the machining form at every moment. In the cutting simulator, this study uses the workpiece voxel model in order to calculate the uncut chip thickness for the estimation of the cutting force. For the tool wear detection, 200 % increase of the average cutting torque is set as the threshold to detect 300 μm flank wear. In an experimental milling of a workpiece with holes using a worn square end mill, it is confirmed that the increase of the average cutting torque can be identified clearly in both of stationary and transient milling situations. It was verified that the tool flank wear could be detected correctly even in the dynamic change of milling operation.https://www.jstage.jst.go.jp/article/transjsme/84/857/84_17-00433/_pdf/-char/encutting trouble detectionend millingcutting torquesimulationmonitoring |
| spellingShingle | Isamu NISHIDA Muneharu TATEKAWA Ryuta SATO Keiichi SHIRASE Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear) Nihon Kikai Gakkai ronbunshu cutting trouble detection end milling cutting torque simulation monitoring |
| title | Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear) |
| title_full | Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear) |
| title_fullStr | Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear) |
| title_full_unstemmed | Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear) |
| title_short | Cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques (1st report Cutting trouble detection for tool wear) |
| title_sort | cutting trouble detection system based on quantitative comparison between predicted and measured cutting torques 1st report cutting trouble detection for tool wear |
| topic | cutting trouble detection end milling cutting torque simulation monitoring |
| url | https://www.jstage.jst.go.jp/article/transjsme/84/857/84_17-00433/_pdf/-char/en |
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