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Numerical study of the inner canalization geometry optimizationin a milling tool used in micro quantity lubrication
Published online by Cambridge University Press: 08 August 2014
Abstract
This study focused on numerical analysis of the parameters influencing the oil mist flow(MQL) outside a rotating tool, in non-contact configuration. This approach was a mandatorystep for the parameter optimizations before taking into account the material removing. Theoptimization of inner canalization geometries to a milling tool was performed to transferthe oil mist. The Reynolds Average Navier Stokes (RANS) and Lagrangian equations were usedto simulate the oil mist flow inside the canalizations by integrating the standardk-ε turbulence model with the STAR CCM+ commercial software. The dynamic numericalcalculation was used to optimize the inner canalizations of a milling tool. Because of theparticular external tool shape, the micro spray cooling is not guaranteed to reach thecutting edge. The external tool geometry, the inlet pressure, the shape and theorientation of the inner canalization geometries in the tool body and the rotation speedhave significant influence on the lubrication efficiency. The main goal of this study wasto improve this efficiency as function of these parameters. Thus, parameter sets givinggood lubrication were determinate for a type of tool.
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- © AFM, EDP Sciences 2014
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