Development of Statistical Model to Predict Ra and Rz in the Laser Cutting
Laser cutting is one of the advances machining on material remover process.This paper explores the prediction model of surface roughness (Ra) and roughness height (Rz) of laser beam cutting on acrylic sheets. Box-Behnken design based Response Surface Method (RSM) was used to predict the effect of la...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/1453/1/2009_P_OPTI09_M.M.Noor-conference-.pdf |
| _version_ | 1796989417244590080 |
|---|---|
| author | M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab M. S. M., Sani R. A., Bakar T. T., Mon |
| author_facet | M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab M. S. M., Sani R. A., Bakar T. T., Mon |
| author_sort | M. M., Noor |
| collection | UMP |
| description | Laser cutting is one of the advances machining on material remover process.This paper explores the prediction model of surface roughness (Ra) and roughness height (Rz) of laser beam cutting on acrylic sheets. Box-Behnken design based Response Surface Method (RSM) was used to predict the effect of laser cutting parameters which are laser power, cutting speed and tip distance on
Ra and Rz. The predictive models are good agreement with experimental results. The first order equation revealed that the power requirement was the dominant factor followed by tip distance and cutting speed respectively. This observation indicates that the potential of using RSM in predicting cutting parameters thus eliminating the need for exhaustive cutting experiments to obtain the optimum cutting condition and enhance the surface roughness. |
| first_indexed | 2024-03-06T11:36:48Z |
| format | Conference or Workshop Item |
| id | UMPir1453 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:36:48Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | UMPir14532018-01-25T01:06:30Z http://umpir.ump.edu.my/id/eprint/1453/ Development of Statistical Model to Predict Ra and Rz in the Laser Cutting M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab M. S. M., Sani R. A., Bakar T. T., Mon TJ Mechanical engineering and machinery Laser cutting is one of the advances machining on material remover process.This paper explores the prediction model of surface roughness (Ra) and roughness height (Rz) of laser beam cutting on acrylic sheets. Box-Behnken design based Response Surface Method (RSM) was used to predict the effect of laser cutting parameters which are laser power, cutting speed and tip distance on Ra and Rz. The predictive models are good agreement with experimental results. The first order equation revealed that the power requirement was the dominant factor followed by tip distance and cutting speed respectively. This observation indicates that the potential of using RSM in predicting cutting parameters thus eliminating the need for exhaustive cutting experiments to obtain the optimum cutting condition and enhance the surface roughness. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1453/1/2009_P_OPTI09_M.M.Noor-conference-.pdf M. M., Noor and K., Kadirgama and M. M., Rahman and M. R. M., Rejab and M. S. M., Sani and R. A., Bakar and T. T., Mon (2009) Development of Statistical Model to Predict Ra and Rz in the Laser Cutting. In: 11th International Conference on Optimum Design of Structures and Materials in Engineering, OPTI09 , 8 – 10 June 2009 , Algarve, Portugal. . (Unpublished) |
| spellingShingle | TJ Mechanical engineering and machinery M. M., Noor K., Kadirgama M. M., Rahman M. R. M., Rejab M. S. M., Sani R. A., Bakar T. T., Mon Development of Statistical Model to Predict Ra and Rz in the Laser Cutting |
| title | Development of Statistical Model to Predict Ra and Rz in the Laser Cutting |
| title_full | Development of Statistical Model to Predict Ra and Rz in the Laser Cutting |
| title_fullStr | Development of Statistical Model to Predict Ra and Rz in the Laser Cutting |
| title_full_unstemmed | Development of Statistical Model to Predict Ra and Rz in the Laser Cutting |
| title_short | Development of Statistical Model to Predict Ra and Rz in the Laser Cutting |
| title_sort | development of statistical model to predict ra and rz in the laser cutting |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/1453/1/2009_P_OPTI09_M.M.Noor-conference-.pdf |
| work_keys_str_mv | AT mmnoor developmentofstatisticalmodeltopredictraandrzinthelasercutting AT kkadirgama developmentofstatisticalmodeltopredictraandrzinthelasercutting AT mmrahman developmentofstatisticalmodeltopredictraandrzinthelasercutting AT mrmrejab developmentofstatisticalmodeltopredictraandrzinthelasercutting AT msmsani developmentofstatisticalmodeltopredictraandrzinthelasercutting AT rabakar developmentofstatisticalmodeltopredictraandrzinthelasercutting AT ttmon developmentofstatisticalmodeltopredictraandrzinthelasercutting |