Flower Pollination Algorithm for the optimization of stair casting parameter for the preparation of AMC

Aluminium Matrix Composite (AMC) is an encouraging metal matrix composition method for the preparation of most of the commercial metal. The AMC preparation with nitride or oxide nano particle has advantage to boost the hardness and strength of the metal. But the preparation of actual or exact composition of reinforcement material is challenging task. Hence optimization is employed in this paper to select the optimal parameter of the stair casting process of AMC preparation. In the proposed work the Flower Pollination Algorithm (FPA) is used for the optimal parameter selection. The optimization is employed based on the hardness and strength. Ultimately the performance of the proposed technique proves the effectiveness in the stair casting parameter optimization. (C) 2019 Elsevier Ltd. All rights reserved.