Evolution of regression and ANFIS models for wire spark erosion machining of aluminium metal matrix composites for aerospace applications

Aluminium Metal Matrix Composites (AMMC) made an exertion over traditional materials which found applications innumerous engineering domains like automotive components, marine and aerospace parts, owing to its enhanced characteristics such as elevated strength and toughness. The reinforcements that will be incorporated in the AMMC will make significant contributions to increasing material characteristics. Because of the addition of reinforcements, the fabricated composite became harder while comparing with the base material. The machining of these harder material is difficult with the aid of conventional machining approaches. As a result, an alternate approach for machining harder materials is required. Wire Electrical Discharge Machining (WEDM) is found to be one of the modern methods of machining for difficult to cut materials and also exclusively employed for producing intricate forms using any electrically conductive materials. In this proposed investigation, an explorative study has been done on investigating the machinability performance of stir casted aluminium based (AA2024) metal matrix composites with Boron nitride (BN-7%) as reinforcements. Pulse on (T-on), Pulse off (T-off) and peak current are the independent variables considered and Material Removal Rate, Dimensional Deviation are deemed as performance characteristics. The experimental planning and analysis of the process variables have been done by using Taguchi's approach. Regression models for performance measurements during WEDM of aluminium metal matrix composites have been created. For defining the multi-aspect optimization model. Grey theory has been advocated. With an aid of evolved ANFIS model, the desired values have been foretold. The performance analysis on the developed model proves that the model predicts the desired performance measure with better precision.