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Microstructure Adjustment of Spherical Micro-samples for High-Throughput Analysis Using a Drop-on-Demand Droplet
Saeedeh Imani Moqadam1,2, Lutz Mädler1,2, Nils Ellendt1,2
1Faculty of Production Engineering, University of Bremen, Badgasteiner Straße 1, 28359 Bremen, Germany.
Materials (Basel, Switzerland)
|November 21, 2019
Summary
High-throughput material development uses molten metal droplet generators for reproducible microstructures. This study validates a droplet cooling model, identifying key parameters for controlling material properties.
Area of Science:
- Materials Science
- Metallurgy
- Manufacturing Engineering
Background:
- High-throughput methods are crucial for rapid structural material development.
- Reproducible sample geometry and microstructure are essential for these methods.
- Molten metal droplet generators offer a promising approach for generating numerous samples.
Purpose of the Study:
- To analyze the microstructure of droplets generated from two alloys.
- To determine cooling rates during solidification using secondary dendrite arm spacing (SDAS).
- To develop and validate a droplet cooling model and identify critical process parameters for microstructural reproducibility.
Main Methods:
- Droplet generation experiments were performed using two specific alloys.
- Microstructural analysis focused on secondary dendrite arm spacing (SDAS).
- A computational droplet cooling model was developed and validated against experimental data.
Main Results:
- Experimental data on SDAS were obtained for the generated droplets.
- The droplet cooling model demonstrated good agreement with experimental findings.
- A sensitivity analysis identified critical process parameters influencing microstructural outcomes.
Conclusions:
- The study successfully validated a droplet cooling model for molten metal droplets.
- Key process parameters influencing microstructural reproducibility were identified.
- The findings support the use of molten metal droplet generators for high-throughput material development.
