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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Main Authors: Najiha, M. S., M. M., Rahman, M., Kamal, A. R., Yusoff, K., Kadirgama
Format: Article
Language:English
Published: Faculty Mechanical Engineering, UMP 2012
Subjects:
Online Access: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
id ump-13785
recordtype eprints
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) http://dx.doi.org/10.15282/jmes.3.2012.10.0032 DOI: 10.15282/jmes.3.2012.10.0032
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
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
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.
format Article
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.
title 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_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_sort minimum quantity lubricant flow analysis in end milling processes: a computational fluid dynamics approach
publisher Faculty Mechanical Engineering, UMP
publishDate 2012
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
first_indexed 2023-09-18T22:16:47Z
last_indexed 2023-09-18T22:16:47Z
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