Abstract

In this research work, modeling and multi-objective optimization of dry foundry sand parameters were done using artificial neural network (ANN) and genetic algorithm (GA). ANN was used to predict d...

Highlights

  • Various additives are added to sand to make it suitable for use as foundry sand

  • The following conclusions could be drawn from this research: (i) It was discovered that at a baking temperature of 300°C, the dry compressive strength increases as the baking time increases for a given percentage content of groundnut shell ash particles (GSAp)/ant hill% additive but at a certain baking time the dry compressive strength began to decrease

  • (ii) at baking temperatures of 200°C, the dry compressive strength increases as the baking time increases for a given percentage content of GSAp/ant hill% additive but at a certain baking time the dry compressive strength began to decrease

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Summary

Introduction

Various additives are added to sand to make it suitable for use as foundry sand Some of these additives such as synthetic resins, like Furan resin and phenol-formaldehyde resins are hazardous and are not environmentally friendly. These binder systems are too sophisticated and expensive for foundries in developing countries that have abundant natural raw materials but without needed advanced technologies for proper use of the resources. Obtaining the high compressive strength required for dry sand casting comes at a cost because as the strength increases the cost of the mould increases This is a typical case of conflicting objectives because the engineer often desires high strength at a minimum cost. In order to optimize the mould required for dry sand casting, a multi-objective optimization is required

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