Correlation-based estimation of cutting force coefficients for ball-end milling
This article presents a methodology to estimate cutting force coefficients based on the least squares approximation using correlation factor between the estimated and measured cutting forces in order to determine the corresponding tool angular position. This method can be applied on measured cutting...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/96136 http://hdl.handle.net/10220/17310 |
| _version_ | 1824453086100324352 |
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| author | Dhupia, Jaspreet Singh Girsang, Irving P. |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Dhupia, Jaspreet Singh Girsang, Irving P. |
| author_sort | Dhupia, Jaspreet Singh |
| collection | NTU |
| description | This article presents a methodology to estimate cutting force coefficients based on the least squares approximation using correlation factor between the estimated and measured cutting forces in order to determine the corresponding tool angular position. This method can be applied on measured cutting force data over any small interval of time that need not contain information of the time instant when the cutting tool enters the workpiece, which has been the main requirement in the conventional method. This allows a quick estimation of the cutting force coefficients regardless of the chosen cutting conditions and tool-workpiece material, which is often the case in industrial machining processes. This proposed method has been validated by comparison of cutting force coefficients obtained using conventional estimation technique for a slot ball-end milling test. Besides being useful for predictive evaluation of forces, such estimation of cutting force coefficients of the cutting force model can be useful for understanding variations in cutting process over the tool life and can assist in online monitoring and process optimization. |
| first_indexed | 2024-10-01T06:59:09Z |
| format | Journal Article |
| id | ntu-10356/96136 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:59:09Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/961362020-03-07T13:19:27Z Correlation-based estimation of cutting force coefficients for ball-end milling Dhupia, Jaspreet Singh Girsang, Irving P. School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering This article presents a methodology to estimate cutting force coefficients based on the least squares approximation using correlation factor between the estimated and measured cutting forces in order to determine the corresponding tool angular position. This method can be applied on measured cutting force data over any small interval of time that need not contain information of the time instant when the cutting tool enters the workpiece, which has been the main requirement in the conventional method. This allows a quick estimation of the cutting force coefficients regardless of the chosen cutting conditions and tool-workpiece material, which is often the case in industrial machining processes. This proposed method has been validated by comparison of cutting force coefficients obtained using conventional estimation technique for a slot ball-end milling test. Besides being useful for predictive evaluation of forces, such estimation of cutting force coefficients of the cutting force model can be useful for understanding variations in cutting process over the tool life and can assist in online monitoring and process optimization. 2013-11-05T07:26:57Z 2019-12-06T19:26:13Z 2013-11-05T07:26:57Z 2019-12-06T19:26:13Z 2012 2012 Journal Article Dhupia, J., & Girsang, I. (2012). Correlation-based estimation of cutting force coefficients for ball-end milling. Machining science and technology, 16(2), 287-303. https://hdl.handle.net/10356/96136 http://hdl.handle.net/10220/17310 10.1080/10910344.2012.673978 en Machining science and technology |
| spellingShingle | DRNTU::Engineering::Mechanical engineering Dhupia, Jaspreet Singh Girsang, Irving P. Correlation-based estimation of cutting force coefficients for ball-end milling |
| title | Correlation-based estimation of cutting force coefficients for ball-end milling |
| title_full | Correlation-based estimation of cutting force coefficients for ball-end milling |
| title_fullStr | Correlation-based estimation of cutting force coefficients for ball-end milling |
| title_full_unstemmed | Correlation-based estimation of cutting force coefficients for ball-end milling |
| title_short | Correlation-based estimation of cutting force coefficients for ball-end milling |
| title_sort | correlation based estimation of cutting force coefficients for ball end milling |
| topic | DRNTU::Engineering::Mechanical engineering |
| url | https://hdl.handle.net/10356/96136 http://hdl.handle.net/10220/17310 |
| work_keys_str_mv | AT dhupiajaspreetsingh correlationbasedestimationofcuttingforcecoefficientsforballendmilling AT girsangirvingp correlationbasedestimationofcuttingforcecoefficientsforballendmilling |