Arrangement optimization of hammers and fenders on Scrap Metal Shredder using ant colony algorithms

Abstract

A method of optimizing the arrangement of hammers and fenders on a Scrap Metal Shredder is presented. It offers a means of reducing dynamic unbalance force. A dynamic balance model is established for analyzing rotor unbalance force. The model is verified by software simulation. Ant Colony Optimization Algorithms (ACOA) are then introduced to arrange hammers and fenders. Meanwhile, ACOA has been improved by introducing a multi-dimensional matrix and random number q₀ and separating the first loop from other loops. A rational arrangement of hammers and fenders is obtained. The studies show that using ACOA to arrange hammers and fenders can significantly reduce the dynamic unbalance force. For unbalance force of the rotor, the maximum reduction can be up to 92.6% compared with the original arrangement before optimization.

Keywords

Arrangement of hammers and fenders dynamic balance Ant Colony Optimization Algorithms Scrap Metal Shredder

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