Optimizing Cutting Conditions for Minimum Surface Roughness in Face Milling of High Strength Steel Using Carbide Inserts
A full factorial design technique is used to investigate the effect of machining parameters, namely, spindle speed (N), depth of cut (ap), and table feed rate (Vf), on the obtained surface roughness (Ra and Rt) during face milling operation of high strength steel. A second-order regression model was...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2016/7372132 |
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| author | Adel Taha Abbas Adham Ezzat Ragab Essam Ali Al Bahkali Ehab Adel El Danaf |
| author_facet | Adel Taha Abbas Adham Ezzat Ragab Essam Ali Al Bahkali Ehab Adel El Danaf |
| author_sort | Adel Taha Abbas |
| collection | DOAJ |
| description | A full factorial design technique is used to investigate the effect of machining parameters, namely, spindle speed (N), depth of cut (ap), and table feed rate (Vf), on the obtained surface roughness (Ra and Rt) during face milling operation of high strength steel. A second-order regression model was built using least squares method depending on the factorial design results to approximate a mathematical relationship between the surface roughness and the studied process parameters. Analysis of variance was conducted to estimate the significance of each factor and interaction with respect to the surface roughness. For Ra, the results show that spindle speed, depth of cut, and table feed rate have a significant effect on the surface roughness in both linear and quadratic terms. There is also an interaction between depth of cut and feed rate. It also appears that feed rate has the greatest effect on the data variation followed by depth of cut. For Rt, the results show that the table feed rate is the most effective factor followed by the depth of cut, while the spindle speed had a significant small effect only in its quadratic term. The conditions of minimum Ra and Rt are identified through least square optimization. Moreover, multiobjective optimization for minimizing Ra and maximizing metal removal rate Q is conducted and the results are presented. |
| format | Article |
| id | doaj-art-1d99e45712094272a434f3d7a57f1730 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-1d99e45712094272a434f3d7a57f17302025-02-03T01:27:11ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422016-01-01201610.1155/2016/73721327372132Optimizing Cutting Conditions for Minimum Surface Roughness in Face Milling of High Strength Steel Using Carbide InsertsAdel Taha Abbas0Adham Ezzat Ragab1Essam Ali Al Bahkali2Ehab Adel El Danaf3Department of Mechanical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaDepartment of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaDepartment of Mechanical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaDepartment of Mechanical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi ArabiaA full factorial design technique is used to investigate the effect of machining parameters, namely, spindle speed (N), depth of cut (ap), and table feed rate (Vf), on the obtained surface roughness (Ra and Rt) during face milling operation of high strength steel. A second-order regression model was built using least squares method depending on the factorial design results to approximate a mathematical relationship between the surface roughness and the studied process parameters. Analysis of variance was conducted to estimate the significance of each factor and interaction with respect to the surface roughness. For Ra, the results show that spindle speed, depth of cut, and table feed rate have a significant effect on the surface roughness in both linear and quadratic terms. There is also an interaction between depth of cut and feed rate. It also appears that feed rate has the greatest effect on the data variation followed by depth of cut. For Rt, the results show that the table feed rate is the most effective factor followed by the depth of cut, while the spindle speed had a significant small effect only in its quadratic term. The conditions of minimum Ra and Rt are identified through least square optimization. Moreover, multiobjective optimization for minimizing Ra and maximizing metal removal rate Q is conducted and the results are presented.http://dx.doi.org/10.1155/2016/7372132 |
| spellingShingle | Adel Taha Abbas Adham Ezzat Ragab Essam Ali Al Bahkali Ehab Adel El Danaf Optimizing Cutting Conditions for Minimum Surface Roughness in Face Milling of High Strength Steel Using Carbide Inserts Advances in Materials Science and Engineering |
| title | Optimizing Cutting Conditions for Minimum Surface Roughness in Face Milling of High Strength Steel Using Carbide Inserts |
| title_full | Optimizing Cutting Conditions for Minimum Surface Roughness in Face Milling of High Strength Steel Using Carbide Inserts |
| title_fullStr | Optimizing Cutting Conditions for Minimum Surface Roughness in Face Milling of High Strength Steel Using Carbide Inserts |
| title_full_unstemmed | Optimizing Cutting Conditions for Minimum Surface Roughness in Face Milling of High Strength Steel Using Carbide Inserts |
| title_short | Optimizing Cutting Conditions for Minimum Surface Roughness in Face Milling of High Strength Steel Using Carbide Inserts |
| title_sort | optimizing cutting conditions for minimum surface roughness in face milling of high strength steel using carbide inserts |
| url | http://dx.doi.org/10.1155/2016/7372132 |
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