Flow visualization and characterization for optimized MQL machining of composites

From National Research Council Canada

DOI	Resolve DOI: https://doi.org/10.1016/j.cirp.2014.03.078
Author	Search for: Iskandar, Y.; Search for: Tendolkar, A.¹; Search for: Attia, M.H.¹; Search for: Hendrick, P.; Search for: Damir, A.¹; Search for: Diakodimitris, C.
Affiliation	National Research Council of Canada. Aerospace
Format	Text, Article
Subject	Composite materials; Cutting; Drop formation; Flow rate; Nozzles; Flow charac-teristics; Geometric errors; Limited information; Minimum quantity lubrication; Nozzle orientations; Particle image velocimetries; Phase Doppler anemometry; Visualization method; Flow visualization
Abstract	Limited information is available on the effect of Minimum Quantity Lubrication (MQL) parameters (oil flow rate OFR, air flow rate AFR, nozzle orientation and distance from the cutting zone) on flow characteristics. 'Particle Image Velocimetry' and 'Phase Doppler Anemometry' flow visualization methods were used to define the optimal MQL jet for better penetration and cooling/lubrication; coherent, small magnitude/number of vorticities, and small droplets of high velocity. Effect of flow characteristics on cutting forces, temperature, tool wear and geometric errors was examined in CFRP milling. Optimum AFR, OFR and nozzle distance from the cutting zone were established and compared to flood, pressurized air, and dry machining. © 2014 CIRP.
Publication date	2014
In	CIRP Annals - Manufacturing Technology 63, no. 1 (2014): 77–80.
Language	English
Peer reviewed	Yes
NPARC number	21272197
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Record identifier	0861ee26-5857-4214-b36d-841a97d213ad
Record created	2014-07-23
Record modified	2020-04-22

Date modified:: 2024-07-03