Session: 06-11-06 Ocean Engineering Technology VI

Paper Number: 127523

127523 - Advanced Welding Deformation Prediction and Design Integration for Ship Piping Adjustment Pipes 

This study focuses on the welding deformation prediction required by adjustment pipes in ship piping installation. The goal of the study is to accurately predict thermal deformations that can occur within the adjustment system .
To achieve this, the study analyzed the deformation occurring when the adjustment pipe flanges and piping are welded, using finite element analysis methods. The welding heat input was simulated using the Goldak double ellipsoid flow model, and thermal deformations arising during the multi-layer welding process were analyzed using Simufact FEA software. In particular, a precise deformation prediction procedure for the butt joint between pipe-flanges was developed.

A parametric study was also conducted to analyze the impact of various welding conditions and parameters on deformation. The selected welding variables included current, voltage, welding speed, welding length, welding efficiency, the shape of the pipe-flange, and the size of the bead. The effects of variations in these variables on transverse and longitudinal deformation, as well as on the individual deformations of the pipe-flange, were predicted. The accuracy of the model was then verified by comparing these predictive results with experimental data.
Additionally, the study constructed a comprehensive data lake for thermal deformation prediction, integrating existing experimental data and finite element analysis results. Based on this, a regression algorithm utilizing machine learning and multilayer neural networks was applied to more accurately predict the thermal processing deformation of the piping adjustment pipes. The performance of the proposed algorithm was validated using newly acquired experimental data.
Ultimately, this research aimed to contribute to enhancing the accuracy of thermal processing deformation predictions for ship adjustment pipes, minimizing machining errors that can occur during the design process, and thereby improving the reliability and performance of ship piping systems.

Presenting Author: jaedeok Yoon Inha University

Presenting Author Biography: Hello, my name is Jaedeok Yoon.
I am 25 years old and my major is in the field of convective heat transfer and thermal structure analysis.

Authors:

jaedeok Yoon Inha University
Se Yun Hwang Inha university
Jang Hyun Lee Inha University