Predictive Modeling of Minimum Quantity Lubrication: Cutting Force, Temperature and Residual Stress

Xia Ji; Xue Ping Zhang; Bei Zhi Li; Steven Y. Liang

doi:10.4028/www.scientific.net/AMM.365-366.1181

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 365-366Predictive Modeling of Minimum Quantity...

Predictive Modeling of Minimum Quantity Lubrication: Cutting Force, Temperature and Residual Stress

Abstract:

This paper presents an analytical approach to predict the machining force, temperature and residual stress under minimum quantity lubrication (MQL) condition. Both the lubrication and cooling effects are considered to change the tribological and thermal properties in the modified Oxleys model, which is capable to predict the cutting force and temperature in MQL machining directly from cutting conditions. The machining-induced residual stress is predicted by modified McDowell hybrid algorithm. The predicted cutting forces and residual stresses are verified by orthogonal cutting tests for C45 steel and TC4 alloy steel.

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Periodical:

Applied Mechanics and Materials (Volumes 365-366)

Pages:

1181-1184

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.365-366.1181

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Online since:

August 2013

Authors:

Xia Ji, Xue Ping Zhang, Bei Zhi Li, Steven Y. Liang

Keywords:

Cutting Force, Minimum Quantity Lubrication (MQL), Residual Stress

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