Optimizing The Green Sand Casting Process Parameters Using Taguchi Based Grey Relational Analysis

Research Article
Karthick Kumar K and Arul Shankar L
DOI: 
http://dx.doi.org/10.24327/ijrsr.2018.0901.1426
Subject: 
science
KeyWords: 
ANOVA, Casting Defects, Green Sand Casting, Grey Relational Analysis, Taguchi Design
Abstract: 

In this present study, the influence of process parameters that affect during green sand casting process were experimentally investigated. Using Taguchi based Grey relational analysis, the optimum condition for casting process was found. Taguchi technique was coupled with grey relational analysis to obtain a grey relational grade for evaluating multiple outputs. A L27 orthogonal array was selected and designed for five parameters varied through three levels by applying Taguchi’s design of experiments. The optimum level values of parameters obtained for casting process is Moisture Content of 3.2, Green Compressive Strength of 1000 g/cm2 , Permeability of 132.5, and Mould Hardness of 87.5 and Pouring Temperature of 1535°C. Percentage contribution of input parameters on output response were determined using ANOVA. The results showed that Green Compressive Strength is the prominent parameter that contributes towards output responses followed by Pouring Temperature, Mould Hardness, Permeability and Moisture Content. By adapting the derived optimum condition the quality of the green sand casting product can be improved