Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets
This paper develops the predicting model on surface roughness of laser beam cutting (LBC) for acrylic sheets. Box-Behnken design based on Response surface method was used to predict the effect of laser cutting parameters including the power requirement, cutting speed and tip distance on surface roug...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/1465/1/2009_J_AMR_M.M.Noor_K.Kadirgama-Jurnal-.pdf http://umpir.ump.edu.my/id/eprint/1465/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1831520996439359488 |
|---|---|
| author | M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. K. F., Muhamad |
| author_facet | M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. K. F., Muhamad |
| author_sort | M. M., Noor |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper develops the predicting model on surface roughness of laser beam cutting (LBC) for acrylic sheets. Box-Behnken design based on Response surface method was used to predict the effect of laser cutting parameters including the power requirement, cutting speed and tip distance on surface roughness during the machining. Response surface method (RSM) was used to minimize the number of experiments. It can be seen that from the experimental results, the effects of the laser cutting parameters with the surface roughness were investigated. It was found that the surface roughness is significantly affected by the tip distance followed by the power requirement and cutting speed. Some defects were found in microstructure such as burning, melting and wavy surface. This simulation gain more understanding of the surface roughness distribution in laser cutting. The developed model is suitable to be used in the range of (power 90 to 95, cutting speed 700 to 1100 and tip distance 3 to 9) to predict surface roughness. |
| format | Article |
| id | my.ump.umpir.1465 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2009 |
| record_format | eprints |
| spelling | my.ump.umpir.14652018-01-08T05:20:16Z http://umpir.ump.edu.my/id/eprint/1465/ Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. K. F., Muhamad TJ Mechanical engineering and machinery This paper develops the predicting model on surface roughness of laser beam cutting (LBC) for acrylic sheets. Box-Behnken design based on Response surface method was used to predict the effect of laser cutting parameters including the power requirement, cutting speed and tip distance on surface roughness during the machining. Response surface method (RSM) was used to minimize the number of experiments. It can be seen that from the experimental results, the effects of the laser cutting parameters with the surface roughness were investigated. It was found that the surface roughness is significantly affected by the tip distance followed by the power requirement and cutting speed. Some defects were found in microstructure such as burning, melting and wavy surface. This simulation gain more understanding of the surface roughness distribution in laser cutting. The developed model is suitable to be used in the range of (power 90 to 95, cutting speed 700 to 1100 and tip distance 3 to 9) to predict surface roughness. 2009 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1465/1/2009_J_AMR_M.M.Noor_K.Kadirgama-Jurnal-.pdf M. M., Noor and K., Kadirgama and M. M., Rahman and M. R. M., Rejab and N. M. Zuki, N. M. and K. F., Muhamad (2009) Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets. Advanced Materials Research. ISSN 1022-6680. (Published) |
| spellingShingle | TJ Mechanical engineering and machinery M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab N. M. Zuki, N. M. K. F., Muhamad Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets |
| title | Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets |
| title_full | Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets |
| title_fullStr | Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets |
| title_full_unstemmed | Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets |
| title_short | Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets |
| title_sort | prediction modelling of surface roughness for laser beam cutting on acrylic sheets |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/1465/1/2009_J_AMR_M.M.Noor_K.Kadirgama-Jurnal-.pdf http://umpir.ump.edu.my/id/eprint/1465/ |
| url_provider | http://umpir.ump.edu.my/ |