Tool wear and chipping modelling for micro machining
The use of Taguchi method via analysis of variance (ANOVA) was used in this report to find out more about the relationship between the four parameters and the cutting tool. The four parameters are cutter feed of cutting tool, depth of cut of cutting tool, rake angle of cutting tool and the spindle s...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/45942 |
| _version_ | 1826114691314745344 |
|---|---|
| author | Lim, Jia Yaw. |
| author2 | Yeo Swee Hock |
| author_facet | Yeo Swee Hock Lim, Jia Yaw. |
| author_sort | Lim, Jia Yaw. |
| collection | NTU |
| description | The use of Taguchi method via analysis of variance (ANOVA) was used in this report to find out more about the relationship between the four parameters and the cutting tool. The four parameters are cutter feed of cutting tool, depth of cut of cutting tool, rake angle of cutting tool and the spindle speed of the machine. The optimal control factor level was found out and Ansys stimulation was done to evaluate the mechanism of micro machinery tools. The result from Ansys helps to predict the breakage of cutting tool and the value of Von mises stresses of the cutting tool was analyse to give similar result with the analysis of variance method. Larger tool wear and chipping was found to occur more with a larger cutting forces. The most significant factors to the least significant factors for resulting in a bigger cutting force experienced by the cutting tool is the rake angle with a percentage of 40.8 followed by the depth of cut with a percentage of 31.5 and the spindle speed and cutter feed with a 10.4 percent and 5.9 percent accordingly. |
| first_indexed | 2024-10-01T03:43:36Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/45942 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:43:36Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/459422023-03-04T19:35:17Z Tool wear and chipping modelling for micro machining Lim, Jia Yaw. Yeo Swee Hock School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Machine shop and drawings The use of Taguchi method via analysis of variance (ANOVA) was used in this report to find out more about the relationship between the four parameters and the cutting tool. The four parameters are cutter feed of cutting tool, depth of cut of cutting tool, rake angle of cutting tool and the spindle speed of the machine. The optimal control factor level was found out and Ansys stimulation was done to evaluate the mechanism of micro machinery tools. The result from Ansys helps to predict the breakage of cutting tool and the value of Von mises stresses of the cutting tool was analyse to give similar result with the analysis of variance method. Larger tool wear and chipping was found to occur more with a larger cutting forces. The most significant factors to the least significant factors for resulting in a bigger cutting force experienced by the cutting tool is the rake angle with a percentage of 40.8 followed by the depth of cut with a percentage of 31.5 and the spindle speed and cutter feed with a 10.4 percent and 5.9 percent accordingly. Bachelor of Engineering (Mechanical Engineering) 2011-06-24T08:15:41Z 2011-06-24T08:15:41Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45942 en Nanyang Technological University 64 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Mechanical engineering::Machine shop and drawings Lim, Jia Yaw. Tool wear and chipping modelling for micro machining |
| title | Tool wear and chipping modelling for micro machining |
| title_full | Tool wear and chipping modelling for micro machining |
| title_fullStr | Tool wear and chipping modelling for micro machining |
| title_full_unstemmed | Tool wear and chipping modelling for micro machining |
| title_short | Tool wear and chipping modelling for micro machining |
| title_sort | tool wear and chipping modelling for micro machining |
| topic | DRNTU::Engineering::Mechanical engineering::Machine shop and drawings |
| url | http://hdl.handle.net/10356/45942 |
| work_keys_str_mv | AT limjiayaw toolwearandchippingmodellingformicromachining |