Research Paper
Year: 2021 | Month: June | Volume: 8 | Issue: 6 | Pages: 127-132
DOI: https://doi.org/10.52403/ijrr.20210615
Optimization and Prediction of Melting Efficiency of Mild Steel Weldment, Using Genetic Algorithm
Sibete. G1, Eyitemi. T2
1Department of Mechanical Engineering, Niger Delta University, Wilberforce Island, Bayelsa State, Nigeria.
2Department of Mechanical Engineering, Nigeria Maritime University, Okerenkoko ,Delta State, Nigeria.
Corresponding Author: Godfrey Sibete
ABSTRACT
Melting efficiency which indicates how much of the heat deposited by the welding operation is used to produce melting is one of the most important parameters considered in Tungsten Inert Gas (TIG) welding when assessing the performance of welds. In the field of welding, a good melting efficiency results in the development of a dense weld pool. This study is conducted to optimize and predict the melting efficiency of mild steel weldment, using Genetic Algorithm. Genetic Algorithm (GA), which is an optimization method that mimics the evolution process and operates on the basis of the theory of natural selection and evolution was used to analyse the results. The result shows that a combination of current 239.03A, voltage 29.87V, welding speed 56.59mm/s, welding time 79.15 sec, feed rate 130mm/s, will produce optimal melting efficiency of 44.72.
Keywords: Melting Efficiency, Mild Steel Weldment, Genetic Algorithm, Optimization and Prediction.
[PDF Full Text]