| Autor: |
Saviour I. Okeke, Noel M. Harrison, Mingming Tong |
| Přispěvatelé: |
School of Engineering, College of Science and Engineering Postgraduate Scholarship, National University of Ireland Galway, Science Foundation Ireland |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Popis: |
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. Open Access funding provided by the IReL Consortium. This study was supported by the School of Engineering, College of Science and Engineering Postgraduate Scholarship, National University of Ireland Galway. This publication has emanated from research supported in part by a grant from the Science Foundation Ireland under Grant number 16/RC/3872. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. peer-reviewed |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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