Multi-objective optimization of high speed turning of Al 7075 using grey relational analysis

Intelligent modelling and optimization techniques are most demanding tools for solving the intricate optimization problems in the area of machining because of their capabilities of solving complex modelling and optimization problems in productions. This paper presents the use of the Grey Relational Analysis (GRA) for investigation of High Speed Turning of Al 7075, a high strength aluminium alloy used for aerospace applications. Multi-objective optimization is done using GRA for surface roughness, power consumption, material removal rate and cutting time which are some important parameters to decide the capability and suitability of high speed turning. The performance of coated and uncoated carbide cutting tool is investigated by machining Al 7075 at high cutting speeds. Suitable cutting parameters with appropriate cutting tool for high speed turning of Al 7075 are suggested at the end of investigation based on GRA results.