Regression Analysis of Ashaka Clay-Bonded Sand

Aondona-Paul Ihom,Aniekan Offiong

doi:10.4236/jmmce.2014.25053

Abstract

Regression Analysis of Ashaka Clay-Bonded Sand has been successfully carried out. The study data were generated at the National Metallurgical Development Centre, Jos Sand Testing Laboratory. The result of the regression analysis showed that both dry compression strength and dry shear strength have a very strong relationship with clay content and moisture content. The correlation coefficient, coefficient of determination and the coefficient of multiple determination in each relationship was very high. The coefficient of multiple determination for the relationship between dry compression strength, clay content and moisture content was 0.91, while that of dry shear strength, clay and moisture content was 0.97. Two mathematical models have been developed for the estimation of dry compression strength and dry shear strength on the shop floor.

Highlights

According to Ihom, et al [1] a model that incorporates several independent variables is known as multiple regression model and in situations where linearity can be assumed, a linear multiple regression model can be used to investigate the possibility that movements in Y the dependent variable are caused by several independent factors and not just one as in the basic model [1].Recently, a better understanding of clay bonded sand system for foundry application has been found to be important with the fast development of high speed moulding
The coefficient of multiple determination is 0.91 which means that 91% of the changes in dry compression strength are brought about by variations in clay content and moisture content of the moulding mixture
The analysis has led to the following conclusions: 1. Dry compression strength has strong positive relationship with clay content and moisture content

Summary

Introduction

According to Ihom, et al [1] a model that incorporates several independent variables is known as multiple regression model and in situations where linearity can be assumed, a linear multiple regression model can be used to investigate the possibility that movements in Y the dependent variable are caused by several independent factors and not just one as in the basic model [1].Recently, a better understanding of clay bonded sand system for foundry application has been found to be important with the fast development of high speed moulding. The available literature [1]-[6] points out that the shape and size of sand grains, nature and content of clays, moisture and efficiency of mulling the raw materials are important factors that decide the properties and behaviours of the sand moistures. Sand control was through evaluation of the physical properties of sand mixtures in line with the recommendations made [9]. Clay content and moisture content variations in clay-bonded sand mixtures play a vital role in determining the properties of the moulding mixtures and the extent and degree of the correlations can be established using regression analysis. Properties can be estimated on the shop floor using mathematical models derived from regression analysis without necessary conducting instrumental tests on the moulding mixtures once the variable factors are known [1]-[10]

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Methods

Results

Conclusion