Tool temperature prediction in end milling using voxel model-based simulation
In end milling operations, the tools are exposed to high temperatures and high pressures, which inevitably causes the tool wear progress. It is well known that the tool wear progress strongly depends on the temperature of cutting edge. In this study, the thermal analysis to predict cutting temperatu...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Japan Society of Mechanical Engineers
2024-11-01
|
| Series: | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jamdsm/18/7/18_2024jamdsm0093/_pdf/-char/en |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850265851418116096 |
|---|---|
| author | Rei MATSUMURA Isamu NISHIDA Keiichi SHIRASE |
| author_facet | Rei MATSUMURA Isamu NISHIDA Keiichi SHIRASE |
| author_sort | Rei MATSUMURA |
| collection | DOAJ |
| description | In end milling operations, the tools are exposed to high temperatures and high pressures, which inevitably causes the tool wear progress. It is well known that the tool wear progress strongly depends on the temperature of cutting edge. In this study, the thermal analysis to predict cutting temperature is performed by modeling heat transfer, heat input and heat dissipation between the tool and the workpiece based on the voxel model in which the workpiece and the tool are modeled in Cartesian and cylindrical coordinate systems, respectively. The heat input is estimated by the cutting energy predicted by machining simulation with the instantaneous cutting force model. To verify the validity of the proposed cutting temperature simulation method, the predicted cutting temperature was compared with the experimental results in which tool temperatures in end-milling operation measured by a thermocouple thermometer embedded inside the end mill. The predicted maximum temperature and temperature transient responses were in qualitative agreement with the measured results. |
| format | Article |
| id | doaj-art-27001a1f9e434e4db4ddef6aa857a77d |
| institution | OA Journals |
| issn | 1881-3054 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| spelling | doaj-art-27001a1f9e434e4db4ddef6aa857a77d2025-08-20T01:54:19ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542024-11-01187JAMDSM0093JAMDSM009310.1299/jamdsm.2024jamdsm0093jamdsmTool temperature prediction in end milling using voxel model-based simulationRei MATSUMURA0Isamu NISHIDA1Keiichi SHIRASE2Kobe University, Graduate School of Engineering, Department of Mechanical EngineeringKobe University, Graduate School of Engineering, Department of Mechanical EngineeringKobe University, Graduate School of Engineering, Department of Mechanical EngineeringIn end milling operations, the tools are exposed to high temperatures and high pressures, which inevitably causes the tool wear progress. It is well known that the tool wear progress strongly depends on the temperature of cutting edge. In this study, the thermal analysis to predict cutting temperature is performed by modeling heat transfer, heat input and heat dissipation between the tool and the workpiece based on the voxel model in which the workpiece and the tool are modeled in Cartesian and cylindrical coordinate systems, respectively. The heat input is estimated by the cutting energy predicted by machining simulation with the instantaneous cutting force model. To verify the validity of the proposed cutting temperature simulation method, the predicted cutting temperature was compared with the experimental results in which tool temperatures in end-milling operation measured by a thermocouple thermometer embedded inside the end mill. The predicted maximum temperature and temperature transient responses were in qualitative agreement with the measured results.https://www.jstage.jst.go.jp/article/jamdsm/18/7/18_2024jamdsm0093/_pdf/-char/encutting temperature simulationend-milling operationtool wear predictionthermal analysis |
| spellingShingle | Rei MATSUMURA Isamu NISHIDA Keiichi SHIRASE Tool temperature prediction in end milling using voxel model-based simulation Journal of Advanced Mechanical Design, Systems, and Manufacturing cutting temperature simulation end-milling operation tool wear prediction thermal analysis |
| title | Tool temperature prediction in end milling using voxel model-based simulation |
| title_full | Tool temperature prediction in end milling using voxel model-based simulation |
| title_fullStr | Tool temperature prediction in end milling using voxel model-based simulation |
| title_full_unstemmed | Tool temperature prediction in end milling using voxel model-based simulation |
| title_short | Tool temperature prediction in end milling using voxel model-based simulation |
| title_sort | tool temperature prediction in end milling using voxel model based simulation |
| topic | cutting temperature simulation end-milling operation tool wear prediction thermal analysis |
| url | https://www.jstage.jst.go.jp/article/jamdsm/18/7/18_2024jamdsm0093/_pdf/-char/en |
| work_keys_str_mv | AT reimatsumura tooltemperaturepredictioninendmillingusingvoxelmodelbasedsimulation AT isamunishida tooltemperaturepredictioninendmillingusingvoxelmodelbasedsimulation AT keiichishirase tooltemperaturepredictioninendmillingusingvoxelmodelbasedsimulation |