Influence of feature size and shape on corrosion of 316L lattice structures fabricated by laser powder bed fusion

Puttonen, Tuomas; Chekurov, Sergei; Kuva, Jukka; Björkstrand, Roy; Partanen, Jouni; Salmi, Mika

doi:10.1016/j.addma.2022.103288

Cited by 2 publications

(1 citation statement)

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“…The challenges of setting process parameters correctly are especially important in the production of components of optimized geometries. Complex shapes like triply periodic minimal surface gyroids [15] and lattices [16], where thin wall quality set challenges or unsupported downskins often form dross surfaces, lead to difficult printability using standard parameters. Due to the designed shape and possibly a reduced number of heatconducting supports to enable internal cavities and low-angle downskins, for example, in the case of impellers [17], there can be process anomalies such as heat accumulation or overheating.…”

Section: Introductionmentioning

confidence: 99%

Metal Laser-Based Powder Bed Fusion Process Development Using Optical Tomography

Björkstrand,

Akmal,

Salmi

2024

Materials

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In this study, a set of 316 L stainless steel test specimens was additively manufactured by laser-based Powder Bed Fusion. The process parameters were varied for each specimen in terms of laser scan speed and laser power. The objective was to use a narrow band of parameters well inside the process window, demonstrating detailed parameter engineering for specialized additive manufacturing cases. The process variation was monitored using Optical Tomography to capture light emissions from the layer surfaces. Process emission values were stored in a statistical form. Micrographs were prepared and analyzed for defects using optical microscopy and image manipulation. The results of two data sources were compared to find correlations between lack of fusion, porosity, and layer-based energy emissions. A data comparison of Optical Tomography data and micrograph analyses shows that Optical Tomography can partially be used independently to develop new process parameters. The data show that the number of critical defects increases when the average Optical Tomography grey value passes a certain threshold. This finding can contribute to accelerating manufacturing parameter development and help meet the industrial need for agile component-specific parameter development.

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Section: Introductionmentioning

confidence: 99%