Microstructure Adjustment of Spherical Micro-samples for High-Throughput Analysis Using a Drop-on-Demand Droplet Generator
1
Faculty of Production Engineering, University of Bremen, Badgasteiner Straße 1, 28359 Bremen, Germany
2
Leibniz Institute for Materials Engineering IWT, Badgasteiner Straße 3, 28359 Bremen, Germany
*
Author to whom correspondence should be addressed.
Materials 2019, 12(22), 3769; https://doi.org/10.3390/ma12223769
Received: 18 October 2019
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Revised: 12 November 2019
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Accepted: 13 November 2019
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Published: 16 November 2019
(This article belongs to the Section Manufacturing Processes and Systems)
High-throughput methods for the development of structural materials require samples which are comparable in geometric dimensions and microstructure. Molten metal droplet generators produce thousands of droplets and microspheres from specific alloys with very good reproducibility. In this study, droplet generation experiments were conducted with two alloys and their microstructure was analyzed regarding secondary dendrite arm spacing (SDAS) in order to determine cooling rates during solidification. A droplet cooling model was developed, and predictions showed good agreement with the experimental data. Finally, a sensitivity study was conducted using the validated model to identify critical process parameters which have great impact on the resulting microstructure and need to be well-controlled to achieve the desired reproducibility in microstructure.
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Keywords:
cooling rate; droplet cooling; microstructure; drop-on-demand; high-throughput; SDAS; secondary dendrite arm spacing
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MDPI and ACS Style
Imani Moqadam, S.; Mädler, L.; Ellendt, N. Microstructure Adjustment of Spherical Micro-samples for High-Throughput Analysis Using a Drop-on-Demand Droplet Generator. Materials 2019, 12, 3769. https://doi.org/10.3390/ma12223769
AMA Style
Imani Moqadam S, Mädler L, Ellendt N. Microstructure Adjustment of Spherical Micro-samples for High-Throughput Analysis Using a Drop-on-Demand Droplet Generator. Materials. 2019; 12(22):3769. https://doi.org/10.3390/ma12223769
Chicago/Turabian StyleImani Moqadam, Saeedeh, Lutz Mädler, and Nils Ellendt. 2019. "Microstructure Adjustment of Spherical Micro-samples for High-Throughput Analysis Using a Drop-on-Demand Droplet Generator" Materials 12, no. 22: 3769. https://doi.org/10.3390/ma12223769
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