Minimum Quantity Lubrication Machining Process Analysis and Analytical Modeling
The machined residual stress seriously affects the dimensional accuracy, dynamic/static strength, fatigue strength, and corrosion resistance of the components, which mainly determine the service life of the products. Therefore, it is very crucial to understand the generation mechanism of the residual stress and accurately predict the machined residual stress for the quality control of the machined components.
Cutting fluid is an important component of the traditional machining process due to its effect on cooling, lubrication, chip removal, rust prevention, etc. It is reported that the cost of cutting fluid is about 7%~17% of the total machining cost. In addition, the implementation of the cutting fluid will also result in environmental pollution and health hazards. Under this background, the minimum quantity lubrication (MQL) machining as a green and sustainable machining technology has attracted more and more attention in industry and academia.
This book focuses on the process analysis and analytical modeling in MQL machining. The cutting force, cutting temperature, and residual stress prediction model in MQL machining are established and verified by the experiments. Based on validation models, the sensitivity analysis of MQL is discussed. This book provides readers a fast and accurate way to predict the cutting force, cutting temperature, and residual stress in MQL machining, and will give support for further MQL process planning.
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