Tool Quality Life during Ball End Milling of Titanium Alloy Based on Tool Wear and Surface Roughness Models
The prediction and control of milling tool service performance is critical for milling tool design and machining. However, the existing prediction model can hardly quantify tool performance, or precisely describe the relationship between the tool performance and the design or milling parameters. Thi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/9/3316 |
| _version_ | 1797568381416636416 |
|---|---|
| author | Zemin Zhao Xianli Liu Caixu Yue Rongyi Li Hongyan Zhang Steven Liang |
| author_facet | Zemin Zhao Xianli Liu Caixu Yue Rongyi Li Hongyan Zhang Steven Liang |
| author_sort | Zemin Zhao |
| collection | DOAJ |
| description | The prediction and control of milling tool service performance is critical for milling tool design and machining. However, the existing prediction model can hardly quantify tool performance, or precisely describe the relationship between the tool performance and the design or milling parameters. This study redefines the tool lifetime as a function of surface roughness and proposes a new geometric analysis method based on a time-varying wear model. The proposed method can be utilized to evaluate the relationship between tool wear and lifetime. The surface roughness, with respect to tool service performance, is expressed as a time-varying model of the tool and processing parameters. After experimental validation, the influence factors were analyzed through simulation. A generalized method for milling tool design was proposed and successfully applied to a tool performance design case, on a theoretical level. Additionally, the research results prove that basing the tool milling quality life on the surface roughness is extremely feasible and necessary. |
| first_indexed | 2024-03-10T19:55:11Z |
| format | Article |
| id | doaj.art-1ee3dfe5f829441a9aca5e77c2a1a434 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T19:55:11Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-1ee3dfe5f829441a9aca5e77c2a1a4342023-11-19T23:58:54ZengMDPI AGApplied Sciences2076-34172020-05-01109331610.3390/app10093316Tool Quality Life during Ball End Milling of Titanium Alloy Based on Tool Wear and Surface Roughness ModelsZemin Zhao0Xianli Liu1Caixu Yue2Rongyi Li3Hongyan Zhang4Steven Liang5School of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin 150000, ChinaSchool of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin 150000, ChinaSchool of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin 150000, ChinaSchool of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin 150000, ChinaSchool of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin 150000, ChinaManufacturing Institute, Georgia Institute of Technology, Atlanta, GA 30332, USAThe prediction and control of milling tool service performance is critical for milling tool design and machining. However, the existing prediction model can hardly quantify tool performance, or precisely describe the relationship between the tool performance and the design or milling parameters. This study redefines the tool lifetime as a function of surface roughness and proposes a new geometric analysis method based on a time-varying wear model. The proposed method can be utilized to evaluate the relationship between tool wear and lifetime. The surface roughness, with respect to tool service performance, is expressed as a time-varying model of the tool and processing parameters. After experimental validation, the influence factors were analyzed through simulation. A generalized method for milling tool design was proposed and successfully applied to a tool performance design case, on a theoretical level. Additionally, the research results prove that basing the tool milling quality life on the surface roughness is extremely feasible and necessary.https://www.mdpi.com/2076-3417/10/9/3316ball-end milling tooltool lifesurface roughness modelmilling tool design method |
| spellingShingle | Zemin Zhao Xianli Liu Caixu Yue Rongyi Li Hongyan Zhang Steven Liang Tool Quality Life during Ball End Milling of Titanium Alloy Based on Tool Wear and Surface Roughness Models Applied Sciences ball-end milling tool tool life surface roughness model milling tool design method |
| title | Tool Quality Life during Ball End Milling of Titanium Alloy Based on Tool Wear and Surface Roughness Models |
| title_full | Tool Quality Life during Ball End Milling of Titanium Alloy Based on Tool Wear and Surface Roughness Models |
| title_fullStr | Tool Quality Life during Ball End Milling of Titanium Alloy Based on Tool Wear and Surface Roughness Models |
| title_full_unstemmed | Tool Quality Life during Ball End Milling of Titanium Alloy Based on Tool Wear and Surface Roughness Models |
| title_short | Tool Quality Life during Ball End Milling of Titanium Alloy Based on Tool Wear and Surface Roughness Models |
| title_sort | tool quality life during ball end milling of titanium alloy based on tool wear and surface roughness models |
| topic | ball-end milling tool tool life surface roughness model milling tool design method |
| url | https://www.mdpi.com/2076-3417/10/9/3316 |
| work_keys_str_mv | AT zeminzhao toolqualitylifeduringballendmillingoftitaniumalloybasedontoolwearandsurfaceroughnessmodels AT xianliliu toolqualitylifeduringballendmillingoftitaniumalloybasedontoolwearandsurfaceroughnessmodels AT caixuyue toolqualitylifeduringballendmillingoftitaniumalloybasedontoolwearandsurfaceroughnessmodels AT rongyili toolqualitylifeduringballendmillingoftitaniumalloybasedontoolwearandsurfaceroughnessmodels AT hongyanzhang toolqualitylifeduringballendmillingoftitaniumalloybasedontoolwearandsurfaceroughnessmodels AT stevenliang toolqualitylifeduringballendmillingoftitaniumalloybasedontoolwearandsurfaceroughnessmodels |