In situ fatigue monitoring investigation of additively manufactured maraging steel

This work describes an experimental validation set for assessing the real-time fatigue behavior of metallic additive manufacturing (AM) maraging steel structures. Maraging steel AM beams were fabricated with laser powder bed fusion (LPBF) and characterized with ex situ studies of porosity through X-...

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Veröffentlicht in:International journal of advanced manufacturing technology 2020-04, Vol.107 (7-8), p.3499-3510
Hauptverfasser: Henry, T. C., Phillips, F. R., Cole, D. P., Garboczi, E., Haynes, R. A., Johnson, T.
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container_end_page 3510
container_issue 7-8
container_start_page 3499
container_title International journal of advanced manufacturing technology
container_volume 107
creator Henry, T. C.
Phillips, F. R.
Cole, D. P.
Garboczi, E.
Haynes, R. A.
Johnson, T.
description This work describes an experimental validation set for assessing the real-time fatigue behavior of metallic additive manufacturing (AM) maraging steel structures. Maraging steel AM beams were fabricated with laser powder bed fusion (LPBF) and characterized with ex situ studies of porosity through X-ray computed tomography (CT), nano-indentation, and atomic force microscopy, as well as quasi-static testing to evaluate the as-printed state. Microscale evaluation showed void content of 0.34–0.36% with hardness and stiffness variation through the build direction on the order of 5.1–5.6 GPa and 139–154 GPa, respectively. The microscale inhomogeneities created an as-printed state where the compression and tension plasticity behavior at the macroscale was unequal in quasi-static loading, leading to greater yielding in tension. Specimens were subjected to cyclic loads, while the structural behavior was characterized through in situ magnetic permeability, digital image correlation (DIC) strain, and structural compliance measurements. In the range of 3 × 10 3 to 3 × 10 4 cycles to failure, magnetic permeability measurements were able to capture the mechanical state as early as 60% of life depending on failure location. Results are discussed with an emphasis on material-property-structure relationships in terms of the multi-scale material state and fatigue validation data for improving the durability of AM parts.
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subjects Additive manufacturing
Atomic force microscopy
CAE) and Design
Computed tomography
Computer-Aided Engineering (CAD
Cyclic loads
Digital imaging
Engineering
Evaluation
Industrial and Production Engineering
Laser beams
Magnetic permeability
Maraging steels
Mechanical Engineering
Media Management
Metal fatigue
Nanoindentation
Original Article
Permeability
Porosity
Powder beds
Steel structures
Stiffness
title In situ fatigue monitoring investigation of additively manufactured maraging steel
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