Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization By Response Surface Methodology
This paper presents the prediction of a statistically analyzed model for the surfaceroughness of end-milled Machinable glass ceramic (MGC). Response Surface Methodology(RSM) is used to construct the models based on 3-factorial Box-Behnken Design (BBD). It is foundthat cutting speed is the most signi...
| Main Authors: | , , |
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| Format: | Journal Article |
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Trans Tech Publications Inc
2011
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| Online Access: | www.scientific.net http://hdl.handle.net/20.500.11937/49297 |
| _version_ | 1848758209886552064 |
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| author | Moola, Mohan Reddy Gorin, Alexander Abou-El-Hossein, K. |
| author_facet | Moola, Mohan Reddy Gorin, Alexander Abou-El-Hossein, K. |
| author_sort | Moola, Mohan Reddy |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents the prediction of a statistically analyzed model for the surfaceroughness of end-milled Machinable glass ceramic (MGC). Response Surface Methodology(RSM) is used to construct the models based on 3-factorial Box-Behnken Design (BBD). It is foundthat cutting speed is the most significant factor contributing to the surface roughness value followedby the depth of cut and feed rate. The surface roughness value decreases for higher cutting speedalong with lower feed and depth of cut. Additionally, the process optimization has also been donein terms of material removal rate (MRR) to the model’s response. Ideal combinations of machiningparameters are then suggested for common goal to achieve lower surface roughness value andhigher MRR. |
| first_indexed | 2025-11-14T09:40:21Z |
| format | Journal Article |
| id | curtin-20.500.11937-49297 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:40:21Z |
| publishDate | 2011 |
| publisher | Trans Tech Publications Inc |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-492972018-03-29T09:07:46Z Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization By Response Surface Methodology Moola, Mohan Reddy Gorin, Alexander Abou-El-Hossein, K. Response Surface Methodology Machinable Glass Ceramic Surface Roughness End Milling This paper presents the prediction of a statistically analyzed model for the surfaceroughness of end-milled Machinable glass ceramic (MGC). Response Surface Methodology(RSM) is used to construct the models based on 3-factorial Box-Behnken Design (BBD). It is foundthat cutting speed is the most significant factor contributing to the surface roughness value followedby the depth of cut and feed rate. The surface roughness value decreases for higher cutting speedalong with lower feed and depth of cut. Additionally, the process optimization has also been donein terms of material removal rate (MRR) to the model’s response. Ideal combinations of machiningparameters are then suggested for common goal to achieve lower surface roughness value andhigher MRR. 2011 Journal Article http://hdl.handle.net/20.500.11937/49297 10.4028/www.scientific.net/AMR.264-265.825 www.scientific.net Trans Tech Publications Inc restricted |
| spellingShingle | Response Surface Methodology Machinable Glass Ceramic Surface Roughness End Milling Moola, Mohan Reddy Gorin, Alexander Abou-El-Hossein, K. Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization By Response Surface Methodology |
| title | Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization By Response Surface Methodology |
| title_full | Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization By Response Surface Methodology |
| title_fullStr | Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization By Response Surface Methodology |
| title_full_unstemmed | Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization By Response Surface Methodology |
| title_short | Surface Roughness Prediction in End Milling of Machinable Glass Ceramic and Optimization By Response Surface Methodology |
| title_sort | surface roughness prediction in end milling of machinable glass ceramic and optimization by response surface methodology |
| topic | Response Surface Methodology Machinable Glass Ceramic Surface Roughness End Milling |
| url | www.scientific.net http://hdl.handle.net/20.500.11937/49297 |