Demonstration of a laser powder bed fusion combinatorial sample for high-throughput microstructure and indentation characterization

Weaver, Jordan S.; Pintar, Adam L.; Beauchamp, Carlos; Joress, Howie; Moon, Kil-Won; Phan, Thien Q.

doi:10.1016/j.matdes.2021.109969

Cited by 7 publications

(1 citation statement)

References 83 publications

(84 reference statements)

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“…Each sample may be homogeneous or contain multiple sub-samples. 87,88 Powders are perhaps the most challenging to deal with using automation. While precursor powders can be readily dispensed, powders as a product can be difficult to handle.…”

Section: Integrating Hardware Into Sdlsmentioning

confidence: 99%

What is missing in autonomous discovery: open challenges for the community

Maffettone,

Friederich,

Baird

et al. 2023

Digital Discovery

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Section: Integrating Hardware Into Sdlsmentioning

confidence: 99%

What is missing in autonomous discovery: open challenges for the community

Maffettone,

Friederich,

Baird

et al. 2023

Digital Discovery

Self Cite

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High‐throughput preparation for alloy composition design in additive manufacturing: A comprehensive review

Liu,

Lei,

Wang

et al. 2024

Materials Genome Engineering Advances

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Additive Manufacturing (AM) is revolutionizing aerospace, transportation, and biomedical sectors with its potential to create complex geometries. However, the metallic materials currently used in AM are not intended for high‐energy beam processes, suggesting performance improvement. The development of materials for AM still faces challenge because of the inefficient trial‐and‐error conventional methods. This review examines the challenges and current state of materials including aluminum alloys, titanium alloys, superalloys, and high‐entropy alloys (HEA) in AM, and summarizes the high‐throughput methods in alloy development for AM. In addition, the advantages of high‐throughput preparation technology in improving the properties and optimizing the microstructure mechanism of major additive manufacturing alloys are described. This article concludes by emphasizing the importance of high‐throughput techniques in pushing the boundaries of AM materials development, pointing toward a future of more effective and innovative material solutions.

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High-Throughput Microstructural Characterization and Process Correlation Using Automated Electron Backscatter Diffraction

Fowler,

Ruggles,

Cillessen

et al. 2024

Integr Mater Manuf Innov

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The need to optimize the processing conditions of additively manufactured (AM) metals and alloys has driven advances in throughput capabilities for material property measurements such as tensile strength or hardness. High-throughput (HT) characterization of AM metal microstructure has fallen significantly behind the pace of property measurements due to intrinsic bottlenecks associated with the artisan and labor-intensive preparation methods required to produce highly polished surfaces. This inequality in data throughput has led to a reliance on heuristics to connect process to structure or structure to properties for AM structural materials. In this study, we show a transformative approach to achieve laser powder bed fusion (LPBF) printing, HT preparation using dry electropolishing and HT electron backscatter diffraction (EBSD). This approach was used to construct a library of > 600 experimental EBSD sample sets spanning a diverse range of LPBF process conditions for AM Kovar. This vast library is far more expansive in parameter space than most state-of-the-art studies, yet it required only approximately 10 labor hours to acquire. Build geometries, surface preparation methods, and microscopy details, as well as the entire library of >600 EBSD data sets over the two sample design versions, have been shared with intent for the materials community to leverage the data and further advance the approach. Using this library, we investigated process–structure relationships and uncovered an unexpected, strong dependence of microstructure on location within the build, when varied, using otherwise identical laser parameters.

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Demonstration of a laser powder bed fusion combinatorial sample for high-throughput microstructure and indentation characterization

Cited by 7 publications

References 83 publications

What is missing in autonomous discovery: open challenges for the community

What is missing in autonomous discovery: open challenges for the community

High‐throughput preparation for alloy composition design in additive manufacturing: A comprehensive review

High-Throughput Microstructural Characterization and Process Correlation Using Automated Electron Backscatter Diffraction

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