Numerical Simulations of Bore-Finishing Tool Lubrication System to Achieve Minimum Quantity Lubrication Using the Discretized Phase Model

2019 ◽  
pp. 767-778
Author(s):  
Rohan V. Sawant ◽  
Chandrakant R. Sonawane
Keyword(s):  
Numerical Simulations ◽  
Minimum Quantity Lubrication ◽  
Phase Model ◽  
Lubrication System ◽  
Minimum Quantity ◽  
Finishing Tool

Wear behavior of textured tools under graphene-assisted minimum quantity lubrication system in machining Ti-6Al-4V alloy

2020 ◽  
Vol 145 ◽  
pp. 106183 ◽  
Author(s):  
Rupinder Singh ◽  
J.S. Dureja ◽  
Manu Dogra ◽  
Munish Kumar Gupta ◽  
Mozammel Mia ◽  
...  
Keyword(s):  
Wear Behavior ◽  
Minimum Quantity Lubrication ◽  
Lubrication System ◽  
Minimum Quantity

Improving machining performance of Ti-6Al-4V through multi-point minimum quantity lubrication method

2018 ◽  
Vol 233 (1) ◽  
pp. 321-336 ◽  
Author(s):  
Nilanjan Banerjee ◽  
Abhay Sharma
Keyword(s):  
Scientific Evidence ◽  
Minimum Quantity Lubrication ◽  
Experimental System ◽  
Shear Zones ◽  
Lubrication System ◽  
Distribution Factor ◽  
Machining Performance ◽  
Machined Surface ◽  
Minimum Quantity ◽  
Flank Face

This article provides an improved lubrication system for minimum quantity lubrication machining wherein oil is locally supplied and individually controlled at different heating zones during machining operation. The proposed lubrication method, that is, a multi-point minimum quantity lubrication system, is aimed at improving energy efficiency and environmental friendliness of cutting process. An experimental system is devised in which process parameters, such as air pressure, stroke volume (i.e. amount of oil in one stroke of pump), stroke frequency, and oil distribution factor (i.e. proportion of oil at rake and flank face), are individually controlled for each supply system. The devised system is demonstrated through machining of Ti-6Al-4V. The results of the experimental study on effects of oil quantity and supply method on specific cutting energy, tool wear, and machined surface quality are presented and discussed and corroborated with scientific evidence. The study suggests that distributing oil at the rake face and the flank face in unequal proportions can be more beneficial than injecting it solely at a single location. The investigation also provides mechanism of multi-point minimum quantity lubrication machining through analysis of adiabatic shear zones, observed in scanning electron microscope images of chips.

scholarly journals Research of multi-response optimization of milling process of hardened S50C steel using minimum quantity lubrication of Vietnamese peanut oil

2021 ◽  
pp. 74-88
Author(s):  
Nguyen Thanh Cong ◽  
Pham Thi Thieu Thoa ◽  
Dung Hoang Tien
Keyword(s):  
Surface Roughness ◽  
Regression Model ◽  
Cutting Force ◽  
Minimum Quantity Lubrication ◽  
Cutting Parameters ◽  
Milling Process ◽  
Lubrication System ◽  
Flow Rates ◽  
Minimum Quantity ◽  
Response Optimization

This study aims to build a regression model when surveying the milling process on S50C steel using Minimum Quantity Lubrication (MQL) of Vietnamese peanut oil-based on Response Surface Methodology. The paper analyses and evaluates the effect of cutting parameters, flow rates, and pressures in minimum quantity lubrication system on cutting force and surface roughness in the milling process of S50C carbon steel materials after heat treatment (reaching a hardness of 52 HRC). The Taguchi method, one of the most effective experimental planning methods nowadays, is used in this study. The statistical analysis software, namely Minitab 19, is utilized to build a regression model between parameters of the cutting process, flow rates and pressures of the minimum quantity lubrication system and the cutting force, surface roughness of the part when machining on a 5-axis CNC milling machine. Thereby analyzing and predicting the effect of cutting parameters and minimum quantity lubrication conditions on the surface roughness and cutting force during machining to determine the influence level them. In this work, the regression models of Ra and F were achieved by using the optimizer tool in Minitab 19. Moreover, the multi-response optimization problem was solved. The optimum cutting parameters and lubricating conditions are as follows: Cutting velocity Vc=190.909 m/min, feed rate fz=0.02 mm/tooth, axial depth of cut ap=0.1 and nozzle pressure P=5.596 MPa, flow rate Q=108.887 ml/h. The output parameters obtained from the above parameters are Ra=0.0586  and F=162.035 N, respectively. This result not only provides the foundation for future research but also contributes reference data for the machining process

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