OPTIMIZATION AND PREDICTION OF MELTING EFFICIENCY OF MILD STEEL WELDMENT, USING RESPONSE SURFACE METHODOLOGY
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Abstract
Melting efficiency is one among the vital factors regarded in Tungsten Inert Gas (TIG) welding while appraising the quality of welds. In the welding field, proper melting efficiency brings about the development of a weld pool that is dense. This research is done to optimize and predict melting efficiency of mild steel weldment, utilizing Response Surface Method (RSM).Central composite design(CCD) matrix was used to gather data from the sets of experiments, the specimen was produced from mild steel plates and welded with the TIG process, thereafter the RSM was employed for the optimization and the prediction of the responses from the process parameters.Response Surface Methodology was used to predict melting efficiency of TIG welds. The model had p-values less than 0.05 which shows the significance of the model and “predict R-Squared” value of 0.790025 is in moderately good agreement with the “Adj R-Squared” value of 0.9985. One way analysis of variance (ANOVA) was done and the result showed that it is a significant model and possess a very good fit. To validate the significance and adequacy of the model, a coefficient of determination (R-Squared) of 0.904201 indicating the appreciable strength of the model. The computed signal to noise ratio of 19.41136 as observed in Table 7 shows an acceptable signal.
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