Minimum Quantity Lubricant Flow Analysis In End Milling Processes: A Computational Fluid Dynamics Approach
This paper presents a two-dimensional steady-state incompressible analysis for the minimum quantity of lubricant flow in milling operations using a computational fluid dynamics (CFD) approach. The analysis of flow and heat transfer in a four-teeth milling cutter operation was undertaken. The domain...
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| Format: | Article |
| Language: | English |
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Faculty Mechanical Engineering, UMP
2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/13785/ http://umpir.ump.edu.my/id/eprint/13785/1/Minimum%20Quantity%20Lubricant%20Flow%20Analysis%20In%20End%20Milling%20Processes-%20A%20Computational%20Fluid%20Dynamics%20Approach.pdf |
| _version_ | 1848819558770540544 |
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| author | Najiha, M. S. M. M., Rahman M., Kamal A. R., Yusoff K., Kadirgama |
| author_facet | Najiha, M. S. M. M., Rahman M., Kamal A. R., Yusoff K., Kadirgama |
| author_sort | Najiha, M. S. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This paper presents a two-dimensional steady-state incompressible analysis for the minimum quantity of lubricant flow in milling operations using a computational fluid dynamics (CFD) approach. The analysis of flow and heat transfer in a four-teeth milling cutter operation was undertaken. The domain of the rotating cutter along with the spray nozzle is defined. Operating cutting and boundary conditions are taken from the literature. A steady-state, pressure-based, planar analysis was performed with a viscous, realizable k-ε model. A mixture of oils and air were sprayed on the tool, which is considered to be rotating and is at a temperature near the melting temperature of the workpiece. Flow fields are obtained from the study. The vector plot of the flow field shows that the flow is not evenly distributed over the cutter surface, as well as the uneven distribution of the lubricant in the direction of the cutter rotation. It can be seen that the cutting fluid has not completely penetrated the tool edges. The turbulence created by the cutter rotation in the proximity of the tool throws oil drops out of the cutting zone. The nozzle position in relation to the feed direction is very important in order to obtain the optimum effect of the MQL flow.
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| first_indexed | 2025-11-15T01:55:28Z |
| format | Article |
| id | ump-13785 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:55:28Z |
| publishDate | 2012 |
| publisher | Faculty Mechanical Engineering, UMP |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-137852018-10-17T03:36:53Z http://umpir.ump.edu.my/id/eprint/13785/ Minimum Quantity Lubricant Flow Analysis In End Milling Processes: A Computational Fluid Dynamics Approach Najiha, M. S. M. M., Rahman M., Kamal A. R., Yusoff K., Kadirgama TJ Mechanical engineering and machinery This paper presents a two-dimensional steady-state incompressible analysis for the minimum quantity of lubricant flow in milling operations using a computational fluid dynamics (CFD) approach. The analysis of flow and heat transfer in a four-teeth milling cutter operation was undertaken. The domain of the rotating cutter along with the spray nozzle is defined. Operating cutting and boundary conditions are taken from the literature. A steady-state, pressure-based, planar analysis was performed with a viscous, realizable k-ε model. A mixture of oils and air were sprayed on the tool, which is considered to be rotating and is at a temperature near the melting temperature of the workpiece. Flow fields are obtained from the study. The vector plot of the flow field shows that the flow is not evenly distributed over the cutter surface, as well as the uneven distribution of the lubricant in the direction of the cutter rotation. It can be seen that the cutting fluid has not completely penetrated the tool edges. The turbulence created by the cutter rotation in the proximity of the tool throws oil drops out of the cutting zone. The nozzle position in relation to the feed direction is very important in order to obtain the optimum effect of the MQL flow. Faculty Mechanical Engineering, UMP 2012 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/13785/1/Minimum%20Quantity%20Lubricant%20Flow%20Analysis%20In%20End%20Milling%20Processes-%20A%20Computational%20Fluid%20Dynamics%20Approach.pdf Najiha, M. S. and M. M., Rahman and M., Kamal and A. R., Yusoff and K., Kadirgama (2012) Minimum Quantity Lubricant Flow Analysis In End Milling Processes: A Computational Fluid Dynamics Approach. Journal of Mechanical Engineering and Sciences (JMES) , 3. pp. 340-345. ISSN 2289-4659 (print); 2231-8380 (online). (Published) http://dx.doi.org/10.15282/jmes.3.2012.10.0032 DOI: 10.15282/jmes.3.2012.10.0032 |
| spellingShingle | TJ Mechanical engineering and machinery Najiha, M. S. M. M., Rahman M., Kamal A. R., Yusoff K., Kadirgama Minimum Quantity Lubricant Flow Analysis In End Milling Processes: A Computational Fluid Dynamics Approach |
| title | Minimum Quantity Lubricant Flow Analysis In End Milling Processes: A Computational Fluid Dynamics Approach |
| title_full | Minimum Quantity Lubricant Flow Analysis In End Milling Processes: A Computational Fluid Dynamics Approach |
| title_fullStr | Minimum Quantity Lubricant Flow Analysis In End Milling Processes: A Computational Fluid Dynamics Approach |
| title_full_unstemmed | Minimum Quantity Lubricant Flow Analysis In End Milling Processes: A Computational Fluid Dynamics Approach |
| title_short | Minimum Quantity Lubricant Flow Analysis In End Milling Processes: A Computational Fluid Dynamics Approach |
| title_sort | minimum quantity lubricant flow analysis in end milling processes: a computational fluid dynamics approach |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/13785/ http://umpir.ump.edu.my/id/eprint/13785/ http://umpir.ump.edu.my/id/eprint/13785/ http://umpir.ump.edu.my/id/eprint/13785/1/Minimum%20Quantity%20Lubricant%20Flow%20Analysis%20In%20End%20Milling%20Processes-%20A%20Computational%20Fluid%20Dynamics%20Approach.pdf |