ISSN 2360-7955
Abstract: Pipeline networks are essential for moving a variety of gases and liquids throughout different industrial sectors. By examining the effects of a particular non-elastic factor—the surface area of contact—on pipeline weldments and how those effects interact with elastic qualities, the study seeks to close this gap. In order to achieve this goal, an extensive experimental investigation is carried out that includes a variety of welding techniques, materials, and ambient circumstances in order to faithfully mimic real-world scenarios. The central composite design, which was painstakingly created with the aid of design expert software (version 13.0), is followed by the experimental setup. The response surface approach study provides the best results, recommending a voltage of 21.280 volts, a current of 160.000 amps, and a gas flow rate of 14.667 liters per minute. With the combined use of these input parameters, a welded junction with a surface area value of 40.670 and an attractiveness value of 0.918 was produced. Furthermore, in order to forecast output parameters, the Artificial Neural Network model is utilized and contrasted with the Response Surface Methodology. The results highlight how important it is to optimize non-elastic performance variables for pipeline weldments. Weldments can be constructed to withstand harsh circumstances, reduce the likelihood of failures, and greatly extend the operating lifespan of pipelines by precisely managing the surface area of contact.
Keywords: pipeline weldments, surface area, input parameters, artificial neural network, response surface methodology.