Heat Input Prediction of Shielded Metal Arc Welding on Low Carbon Steel Pipelines Using Box-Behnken Design of Experiments
Abstract
Heat input is an issue in a welding process of low-carbon-steel pipelines, leading to low heat input which cause lack of penetration and produce refined microstructure, and high heat input which give excess penetration, and cause coarse micro structure, reduce weld toughness and cause distortion. This study aims to produced mathematical model that will predict heat input in shielded metal arc welding of low-carbon steel pipelines, by means of a Box Behnken design of experiment with response surface technique using Minitab V15 and Sigma V15 softwares, utilized to optimize the variables. Heat input model was established to predict heat input as per welding parameters. The model displayed a good coefficient of determination R2 =0.9983, Adj R² = 0.9953, low standard errors = 0.0337 and PRESS = 0.0329. Hence, the model can predict the heat input using Box Behnken design technique, and model developed was quadratic of general form ??= ?0 + ? ???? 3 ?=1 + ? ??????? 3 ???=1 + ? ????2 ?? 3 ?=1 . These results were validated, comparing predicted values with the results of experimental and was achieved by means of generating a scatter diagram for the response (heat input). The result displayed there was a (good fit) between model predictions and experimental results. Furthermore, the response produced was influenced by voltage, welding current (XC), electrode temperature (XET) and preheat temperature (XPT). In accordance with relationship between input independent variables and dependent variables, it shows changing voltage, current (XC), electrode temperature (XET) and preheat temperature (XPT) resulted in significant impact in the response. However, the established model serves as a predictive tool for assessing the heat input in pipeline welding process.
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