Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel
This paper presents a study on the development of an effective method to predict surface roughness for high speed end milling of AISI H13 tool steel using PCBN inserts. The response surface methodology (RSM) has been utilized for the postulation of a second order quadratic model in terms of cutt...
| Main Authors: | , , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English |
| Published: |
IEEE
2007
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/26850/ http://irep.iium.edu.my/26850/1/Model_for_H13_%236.pdf |
| _version_ | 1848779714688188416 |
|---|---|
| author | Hafiz, A.M. Khalid Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri |
| author_facet | Hafiz, A.M. Khalid Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri |
| author_sort | Hafiz, A.M. Khalid |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper presents a study on the development of an effective method to predict surface roughness for high
speed end milling of AISI H13 tool steel using PCBN inserts.
The response surface methodology (RSM) has been utilized
for the postulation of a second order quadratic model in
terms of cutting speed, axial depth of cut and feed. Sufficient numbers of experiments were run based on the Box-Wilson central composite design (CCD) concept of RSM in order to generate roughness data. The ANOVA technique has been used to verify the adequacy of the model at 95% confidence interval. From the model it was found that feed plays the most dominating role on surface finish followed by the cutting speed. However, axial depth of cut does not have significant effect on roughness value. The roughness tends to decrease with decreasing feed and increasing cutting speed. |
| first_indexed | 2025-11-14T15:22:10Z |
| format | Proceeding Paper |
| id | iium-26850 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:22:10Z |
| publishDate | 2007 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-268502013-09-09T03:40:08Z http://irep.iium.edu.my/26850/ Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel Hafiz, A.M. Khalid Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity This paper presents a study on the development of an effective method to predict surface roughness for high speed end milling of AISI H13 tool steel using PCBN inserts. The response surface methodology (RSM) has been utilized for the postulation of a second order quadratic model in terms of cutting speed, axial depth of cut and feed. Sufficient numbers of experiments were run based on the Box-Wilson central composite design (CCD) concept of RSM in order to generate roughness data. The ANOVA technique has been used to verify the adequacy of the model at 95% confidence interval. From the model it was found that feed plays the most dominating role on surface finish followed by the cutting speed. However, axial depth of cut does not have significant effect on roughness value. The roughness tends to decrease with decreasing feed and increasing cutting speed. IEEE 2007 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/26850/1/Model_for_H13_%236.pdf Hafiz, A.M. Khalid and Amin, A. K. M. Nurul and Karim, A.N. Mustafizul and Lajis, Mohd Amri (2007) Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel. In: 2007 IEEE International Conference on Industrial Engineering and Engineering Management, 2 - 4 December 2007, Singapore. doi:10.1109/IEEM.2007.4419516 |
| spellingShingle | T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity Hafiz, A.M. Khalid Amin, A. K. M. Nurul Karim, A.N. Mustafizul Lajis, Mohd Amri Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel |
| title | Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel |
| title_full | Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel |
| title_fullStr | Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel |
| title_full_unstemmed | Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel |
| title_short | Development of surface roughness prediction model using response surface methodology in high speed end milling of AISI HI3 tool steel |
| title_sort | development of surface roughness prediction model using response surface methodology in high speed end milling of aisi hi3 tool steel |
| topic | T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity |
| url | http://irep.iium.edu.my/26850/ http://irep.iium.edu.my/26850/ http://irep.iium.edu.my/26850/1/Model_for_H13_%236.pdf |