Analysis and optimum machining parameters on surface roughness and material removal rate for titanium alloy in milling machining with MQL
Proper cutting parameters are needed to produce lower surface roughness of titanium alloy machined material. The high temperature in the cutting zone is always happened due to high friction between the tool and the workpiece and will cause dimensional error and poor surface roughness. Therefore, the...
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my.iium.irep.1051282023-06-19T01:13:10Z http://irep.iium.edu.my/105128/ Analysis and optimum machining parameters on surface roughness and material removal rate for titanium alloy in milling machining with MQL Tomadi, Siti Haryani Abd Halim, Nor Farah Huda H., Mas Ayu R., Daud Zakaria, Muhammad Ariff T Technology (General) TA Engineering (General). Civil engineering (General) TA349 Mechanics of engineering. Applied mechanics Proper cutting parameters are needed to produce lower surface roughness of titanium alloy machined material. The high temperature in the cutting zone is always happened due to high friction between the tool and the workpiece and will cause dimensional error and poor surface roughness. Therefore, the main objectives of this research were to investigate and compare the surface roughness and material removal rate (MRR) of Ti-6AL-4 V alloy under the dry and minimum quantity lubrication (MQL) technique. The effect of cutting parameters towards surface roughness was investigated and the optimum cutting parameters was studied to obtain lower surface roughness and higher MRR. From ANOVA, spindle speed has been identified as the most significant parameter that affects the surface roughness and MRR. In t his paper, the optimum cutting parameters that give the low surface roughness and high MRR was 1500 rpm (spindle speed), 0.4 mm/tooth (feed per tooth), and 0.4 mm (depth of cut). From this study, it can be concluded that in this milling of Ti-6Al-4 V alloy, higher spindle speed, feed per tooth, and depth of cut are preferable to achieve the better surface quality of Ti-6Al-4 V alloy. Springer 2023 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/105128/6/105128_Analysis%20and%20optimum%20machining.pdf application/pdf en http://irep.iium.edu.my/105128/11/105128_Analysis%20and%20optimum%20machining%20parameters%20on%20surface%20roughness%20and%20material%20removal%20rate%20for%20titanium%20alloy%20in%20milling%20machining%20with%20MQL_SCOPUS.pdf Tomadi, Siti Haryani and Abd Halim, Nor Farah Huda and H., Mas Ayu and R., Daud and Zakaria, Muhammad Ariff (2023) Analysis and optimum machining parameters on surface roughness and material removal rate for titanium alloy in milling machining with MQL. In: Proceeding of 5th International Conference on Advances in Manufacturing and Materials Engineering, 9-10 August, 2022, Kuala Lumpur. https://link.springer.com/chapter/10.1007/978-981-19-9509-5_84 https://doi.org/10.1007/978-981-19-9509-5_84 |
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T Technology (General) TA Engineering (General). Civil engineering (General) TA349 Mechanics of engineering. Applied mechanics Tomadi, Siti Haryani Abd Halim, Nor Farah Huda H., Mas Ayu R., Daud Zakaria, Muhammad Ariff Analysis and optimum machining parameters on surface roughness and material removal rate for titanium alloy in milling machining with MQL |
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Proper cutting parameters are needed to produce lower surface roughness of titanium alloy machined material. The high temperature in the cutting zone is always happened due to high friction between the tool and the workpiece and will cause dimensional error and poor surface roughness. Therefore, the main objectives of this research were to investigate and compare the surface roughness and material removal rate (MRR) of Ti-6AL-4 V alloy under the dry and minimum quantity lubrication (MQL) technique. The effect of cutting parameters towards surface roughness was investigated and the optimum cutting parameters was studied to obtain lower surface roughness and higher MRR. From ANOVA, spindle speed has been identified as the most significant parameter that affects the surface roughness and MRR. In t his paper, the optimum cutting parameters that give the low surface roughness and high MRR was 1500 rpm (spindle speed), 0.4 mm/tooth (feed per tooth), and 0.4 mm (depth of cut). From this study, it can be concluded that in this milling of Ti-6Al-4 V alloy, higher spindle speed, feed per tooth, and depth of cut are preferable to achieve the better surface quality of Ti-6Al-4 V alloy. |
format |
Conference or Workshop Item |
author |
Tomadi, Siti Haryani Abd Halim, Nor Farah Huda H., Mas Ayu R., Daud Zakaria, Muhammad Ariff |
author_facet |
Tomadi, Siti Haryani Abd Halim, Nor Farah Huda H., Mas Ayu R., Daud Zakaria, Muhammad Ariff |
author_sort |
Tomadi, Siti Haryani |
title |
Analysis and optimum machining parameters on surface roughness and material removal rate for titanium alloy in milling machining with MQL |
title_short |
Analysis and optimum machining parameters on surface roughness and material removal rate for titanium alloy in milling machining with MQL |
title_full |
Analysis and optimum machining parameters on surface roughness and material removal rate for titanium alloy in milling machining with MQL |
title_fullStr |
Analysis and optimum machining parameters on surface roughness and material removal rate for titanium alloy in milling machining with MQL |
title_full_unstemmed |
Analysis and optimum machining parameters on surface roughness and material removal rate for titanium alloy in milling machining with MQL |
title_sort |
analysis and optimum machining parameters on surface roughness and material removal rate for titanium alloy in milling machining with mql |
publisher |
Springer |
publishDate |
2023 |
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http://irep.iium.edu.my/105128/6/105128_Analysis%20and%20optimum%20machining.pdf http://irep.iium.edu.my/105128/11/105128_Analysis%20and%20optimum%20machining%20parameters%20on%20surface%20roughness%20and%20material%20removal%20rate%20for%20titanium%20alloy%20in%20milling%20machining%20with%20MQL_SCOPUS.pdf http://irep.iium.edu.my/105128/ https://link.springer.com/chapter/10.1007/978-981-19-9509-5_84 https://doi.org/10.1007/978-981-19-9509-5_84 |
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