Publication

Computational modelling of dynamic recrystallisation of Ni-based superalloy during linear friction welding

Okeke, Saviour I.
Harrison, Noel M.
Tong, Mingming
Citation
Okeke, Saviour I., Harrison, Noel M., & Tong, Mingming. (2022). Computational modelling of dynamic recrystallisation of Ni-based superalloy during linear friction welding. The International Journal of Advanced Manufacturing Technology, 119(7), 4461-4484. doi: 10.1007/s00170-021-08559-1
Abstract
Linear friction welding (LFW) is an advanced joining technology used for manufacturing and repairing complex assemblies like blade integrated disks (blisks) of aeroengines. This paper presents an integrated multiphysics computational modelling for predicting the thermomechanical-microstructural processes of IN718 alloy (at the component-scale) during LFW. Johnson–Mehl–Avrami-Kolmogorov (JMAK) model was implemented for predicting the dynamic recrystallisation of γ grain, which was coupled with thermomechanical modelling of the LFW process. The computational modelling results of this paper agree well with experimental results from the literature in terms of γ grain size and weld temperature. Twenty different LFW process parameter configurations were systematically analysed in the computations by using the integrated model. It was found that friction pressure was the most influential process parameter, which significantly affected the dynamic recrystallisation of γ grains and weld temperature during LFW. The integrated multiphysics computational modelling was employed to find the appropriate process window of IN718 LFW.
Publisher
Springer
Publisher DOI
10.1007/s00170-021-08559-1
Rights
Attribution 4.0 International (CC BY 4.0)