Back to Search Start Over

An experimentally validated thermomechanical model for a parametric study on reducing residual stress in cast iron repair welding.

Authors :
Farahani, Ehsan Borzabadi
Eder, Martin Alexander
Alizadeh-Sh, Masoud
Fæster, Søren
Sarhadi, Ali
Source :
International Journal of Advanced Manufacturing Technology. Oct2024, Vol. 134 Issue 11/12, p5787-5803. 17p.
Publication Year :
2024

Abstract

Remarkable casting properties and superior mechanical characteristics of cast iron make it an ideal material for a wide range of industrial applications. However, the production of cast iron components may result in the formation of cracks and defects, posing a significant threat to their structural integrity. Repair welding is a promising solution to resolve cast iron production defects. However, repair welding cast iron components poses unique challenges that stem from residual stress (RS) formation and the possibility of cracking during the repair process. Moreover, research on cast iron repair is scarce. To overcome these challenges, this paper presents a thermo-mechanical model validated by experiments to reduce RS in cast iron repair welding through the optimization of welding parameters and weld sequences as well as the geometry of the repair area. An experimental bead-on-plate weld is set up in order to validate the developed thermo-mechanical model. The temperature distribution in the weld is measured using thermocouples placed around the weld line. An X-ray diffraction technique is used to measure the axial and transverse RS at different points around the weld line. The developed finite element model is employed to simulate the repair welding process and analyze the effect of inter-pass temperature, the number of welding passes, welding sequences, and groove geometry on the RS. The numerical approach applied in this study provides a framework for repair welding optimization of cast iron and other materials, fostering the development of more efficient and reliable repair methods for industrial applications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02683768
Volume :
134
Issue :
11/12
Database :
Academic Search Index
Journal :
International Journal of Advanced Manufacturing Technology
Publication Type :
Academic Journal
Accession number :
180107224
Full Text :
https://doi.org/10.1007/s00170-024-14487-7