Effect of friction welding parameters on the tensile strength and microstructural properties of dissimilar AISI 1020-ASTM A536 joints

Abstract

This paper presents an effect of friction welding parameters on the tensile strength and microstructural properties of dissimilar AISI 1020-ASTM A536 joints. A hybrid response surface methodology (RSM) and genetic algorithm (GA)-based technique were successfully developed to model, simulate, and optimise the welding parameters. Direct and interaction effects of process parameters on the ultimate tensile strength (UTS) were studied by plotting graphs. Friction force and friction time have a positive effect on tensile strength. As friction force and friction time increase, the tensile strength also increases. The maximum tensile strength of the friction-welded low carbon steel-ductile iron joints was 87 % of that of the base metal. The tensile properties, microstructure, Vickers hardness distribution, and fracture morphology of the welded specimen have been studied and presented in this study. Additionally, the distribution of carbon element on both sides of the interface was estimated using energydispersive spectroscopy (EDS). The results of the metallographic study show clearly that the friction welding process was accompanied by a diffusion of carbon atoms from ductile iron to steel. This process causes the formation of a carbonrich zone at the interface and decarburization zone in the ductile iron close to the bond interface.

The microstructures, mechanical properties, and temperature distributions in nodular cast iron friction-welded joint

“…16c, d demonstrates a relatively large cavity size, especially in comparison to the graphite nodule size. According to the authors of yet another publication, [29] the formation of these cavities may be attributed to decohesion of graphite and the surrounding matrix, as demonstrated in Fig. 15d. …”

“…Knowledge on friction weld processes is oriented toward structural and mechanical properties [25,26] and metallurgical phase transformation [27,28], or welding parameter optimization [29,30]. Microstructure and mechanical properties of friction nodular cast iron joints hitherto are poorly described in the literature.…”

Investigation of Mechanical Properties of Friction-welded AISI 304 with AISI 430 Dissimilar Steels

“…But when the high friction and forge pressure, the metals to be joined are subjected to high heat and successively cooled at faster rate. But when friction pressure and forge pressure is too high, consequently, the process frictional heat becomes higher and the high heat softens more viscous material, which can lead to expel a large volume of flashes and thinner interface region [14] . This enhances the plasticity of the metals making them to soften easily resulting in a lower tensile strength observed at sample 9.…”

Extension of Experimentally Assembled Processing Maps of 10CrMo9-10 Steel via a Predicted Dataset and the Influence on Overall Informative Possibilities

“…The ANN approach is part of a wide family of biology-inspired mathematical techniques that are intended to solve complicated scientific and engineering tasks, e.g., highly nonlinear approximation issues [25]. These mathematical approaches have been found to be very useful in various applications (see e.g., [26][27][28]).…”