Experimental and computational characterization of the effect of manufacturing-induced defects on high temperature, low-cycle fatigue for MarBN
| Autor: | Noel M. Harrison, Brendan Phelan, Richard A. Barrett, Ramesh Raghavendra, Sean B. Leen, Eimear M. O'Hara, S. Osgerby |
|---|---|
| Přispěvatelé: | Irish Research Council, Science Foundation Ireland |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Work (thermodynamics)
Materials science MICRO-TOMOGRAPHY VISCOPLASTIC CONSTITUTIVE-EQUATIONS 02 engineering and technology 01 natural sciences Forging MECHANISMS 0103 physical sciences General Materials Science Martensite Composite material NONMETALLIC INCLUSIONS 010302 applied physics X-ray computed tomography TEMPERED MARTENSITIC STEEL Viscoplasticity CRACK INITIATION 021001 nanoscience & nanotechnology Finite element method EVOLUTION Characterization (materials science) MODEL Fatigue crack initiation Volume fraction Low-cycle fatigue Defects CREEP-PROPERTIES High-temperature deformation 0210 nano-technology BEHAVIOR |
| Popis: | Manufacturing-induced defects are a key source of crack initiation and component failure under high temperature cyclic loading. In this work, 3D X-ray micro-computed tomography and microstructural analysis of manufacturing-induced defects is presented for forged and cast MarBN martensitic-ferritic steel, along with high temperature, low cycle fatigue testing, for assessment of the comparative effects of two manufacturing processes. Forging is found to significantly reduce the volume fraction and complexity of manufacturing defects, compared to the cast material, resulting in approximately double the fatigue life. A voxel-based finite element methodology for experimentally-identified cast and forged manufacturing defects is presented, in conjunction with a multiaxial, critical-plane damage model, within a unified viscoplastic user-material subroutine. The effect of the complex morphologies of the manufacturing defects on high temperature fatigue crack initiation is thus quantified, highlighting the relative effects of the two different manufacturing processes. The authors gratefully acknowledge funding from the Irish Research Council and GE Power under the Enterprise Partnership Scheme (EPSPG/2015/55), and the SFI Research Centre for Advanced Manufacturing, I-Form (SFI/16/RC/3872). The authors would like to express their gratitude to those in the IMPEL consortium. The authors acknowledge the facilities and technical assistance of the Centre for Microscopy & Imaging at the National University of Ireland Galway. The authors wish to acknowledge the DJEI/DES/SFI/HEA Irish Centre for High-End Computing (ICHEC) for the provision of computational facilities and support. peer-reviewed 2021-05-22 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|