Prediction of Dynamic Parameters in Turning of Aluminum Metal Matrix Nano Composite By Using Constitutive Models and FEA

Abstract

The present investigation mainly focused on prediction of cutting parameters in turning of aluminum metal matrix nanocomposite (AMMNC) by using constitutive models based on experimental values. The composite is prepared by reinforcing the multiwall carbon nanotubes (wt. % 2) with aluminum 7075 using stir casting method. The turning experiments are conducted on work material according to Taguchi experimental design (L16) for different speed, feed and depth of cut combinations and the output responses cutting force, thrust force and temperatures are recorded. Afterward, the dynamic parameters such as strain, strain rate, temperature and tool chip interfacial friction are calculated using Oxleys model based on orthogonal experimental values and flow stress is determined by JC model using the values obtained from Oxleys model. Finally, FEM simulations have been performed using 2D-Deform software. The flow stress, temperature, and tool chip interfacial friction are obtained from 2D-Deform software, which is compared with the results obtained from constitutive models and found that comparison is satisfactory.