Optimization of Surface Roughness in End Milling on Mould Aluminium Alloys (AA6061-T6) Using Response Surface Method and Radian Basis Function Network
This paper is concerned with optimization of the surface roughness when milling Mould Aluminium alloys (AA6061-T6) with carbide coated inserts. Optimization of milling is very useful to reduce cost and time for machining mould. The approach is based on Response Surface Method (RSM) and Radian Ba...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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2008
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/1315/ http://umpir.ump.edu.my/id/eprint/1315/1/Optimization_of_Surface_Roughness_in_End_Milling_on_Mould.pdf |
| _version_ | 1848816828881567744 |
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| author | K., Kadirgama M. M., Noor M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. R., Daud |
| author_facet | K., Kadirgama M. M., Noor M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. R., Daud |
| author_sort | K., Kadirgama |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper is concerned with optimization of the surface roughness when milling Mould Aluminium alloys (AA6061-T6)
with carbide coated inserts. Optimization of milling is very useful to reduce cost and time for machining mould. The approach is based on Response Surface Method (RSM) and Radian Basis Function Network (RBFN). RBFN was
successfully used by Tsoa and Hocheng in their recent research. They used this network to predict thrust force and surface roughness in drilling. In this work, the objectives are to find the optimized parameters, and to find out the most dominant variables (cutting speed, federate, axial depth and radial depth). The optimized value has been used to develop a blow mould. The first order model and RBFN indicates that the feedrate is the most significant factors effecting surface roughness. RBFN
predict surface roughness more accurately compared to RSM. |
| first_indexed | 2025-11-15T01:12:05Z |
| format | Article |
| id | ump-1315 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:12:05Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-13152018-01-09T02:27:43Z http://umpir.ump.edu.my/id/eprint/1315/ Optimization of Surface Roughness in End Milling on Mould Aluminium Alloys (AA6061-T6) Using Response Surface Method and Radian Basis Function Network K., Kadirgama M. M., Noor M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. R., Daud TJ Mechanical engineering and machinery This paper is concerned with optimization of the surface roughness when milling Mould Aluminium alloys (AA6061-T6) with carbide coated inserts. Optimization of milling is very useful to reduce cost and time for machining mould. The approach is based on Response Surface Method (RSM) and Radian Basis Function Network (RBFN). RBFN was successfully used by Tsoa and Hocheng in their recent research. They used this network to predict thrust force and surface roughness in drilling. In this work, the objectives are to find the optimized parameters, and to find out the most dominant variables (cutting speed, federate, axial depth and radial depth). The optimized value has been used to develop a blow mould. The first order model and RBFN indicates that the feedrate is the most significant factors effecting surface roughness. RBFN predict surface roughness more accurately compared to RSM. 2008 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1315/1/Optimization_of_Surface_Roughness_in_End_Milling_on_Mould.pdf K., Kadirgama and M. M., Noor and M. M., Rahman and M. R. M., Rejab and N. M. Zuki, N. M. and R., Daud (2008) Optimization of Surface Roughness in End Milling on Mould Aluminium Alloys (AA6061-T6) Using Response Surface Method and Radian Basis Function Network. Jourdan Journal of Mechanical and Industrial Engineering, 2 (4). ISSN 1995-6665. (Published) |
| spellingShingle | TJ Mechanical engineering and machinery K., Kadirgama M. M., Noor M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. R., Daud Optimization of Surface Roughness in End Milling on Mould Aluminium Alloys (AA6061-T6) Using Response Surface Method and Radian Basis Function Network |
| title | Optimization of Surface Roughness in End Milling on Mould
Aluminium Alloys (AA6061-T6) Using Response Surface
Method and Radian Basis Function Network
|
| title_full | Optimization of Surface Roughness in End Milling on Mould
Aluminium Alloys (AA6061-T6) Using Response Surface
Method and Radian Basis Function Network
|
| title_fullStr | Optimization of Surface Roughness in End Milling on Mould
Aluminium Alloys (AA6061-T6) Using Response Surface
Method and Radian Basis Function Network
|
| title_full_unstemmed | Optimization of Surface Roughness in End Milling on Mould
Aluminium Alloys (AA6061-T6) Using Response Surface
Method and Radian Basis Function Network
|
| title_short | Optimization of Surface Roughness in End Milling on Mould
Aluminium Alloys (AA6061-T6) Using Response Surface
Method and Radian Basis Function Network
|
| title_sort | optimization of surface roughness in end milling on mould
aluminium alloys (aa6061-t6) using response surface
method and radian basis function network |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/1315/ http://umpir.ump.edu.my/id/eprint/1315/1/Optimization_of_Surface_Roughness_in_End_Milling_on_Mould.pdf |