Experimental Investigation of the Effective Parameters in 7075-T6 Aluminum Machining Process on Surface Roughness Using Minimum Quantity Lubrication (MQL) and Cold Fluid

The effect of cold fluid and Minimum Quantity Lubrication (MQL) in the machining process of T6-7075 Aluminum alloy due to its wide application in various industries such as aerospace have been investigated in this paper. After examining the effective parameters in the machining process, 4 parameters: Cutting Speed, Feed Speed, Fluid Temperature and Cutting Depth are considered as input parameters. The effect of each parameter was investigated at 3 levels. In this experiment, Air Pressure, Fluid Flow, Nozzle Angle and Nozzle Distance to the cutting point are fixed parameters. Also, the Surface Roughness of the workpiece are considered as output. To design the experiments, analyze the results and optimize the parameters, Design Expert software using the response surface method (RSM) has been used. For reducing the cost of cutting fluid, the method of MQL with Cold Fluid has been used. The results showed that the surface roughness in-lubrication mode -20 ° C compared to +20 ° C and Dry Lubrication had 38.7% and 68.3% better surface quality, respectively.