Microstructure Adjustment of Spherical Micro-samples for High-Throughput Analysis Using a Drop-on-Demand Droplet Generator

Moqadam, Saeedeh Imani; Mädler, Lutz; Ellendt, N.

doi:10.3390/ma12223769

Cited by 12 publications

(8 citation statements)

References 21 publications

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“…We conclude that microstructure development should be highly reproducible due to this wide process window. The thermal history of droplets from both alloys was calculated using a previously developed droplet cooling model [24]. Figure 6a shows the thermal histories for the process conditions from Table 1 and the experimental falling distance of 6.5m before the droplets are quenched.…”

Section: Sample Synthesismentioning

confidence: 99%

Reproducibility of High-Throughput Sample Properties Produced by a High-Temperature Molten Metal Droplet Generator

Moqadam

Baune

Bösing

et al. 2020

Metals

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A high-throughput method for the discovery of structural materials requires a large number of samples with highly reproducible properties. We propose using spherical micro-samples, which can be quickly produced by molten metal single droplet processes with high geometrical reproducibility. However, geometrical reproducibility does not automatically yield in the reproducibility of specific properties that are governed by the microstructure and thermal history of the samples. This work evaluates the reproducibility of two different steels (AISI D3 and 5140) in their as-synthesized state without additional heat treatment. By determining a set of well-established high-throughput descriptors by electrochemical analysis, particle-oriented peening, and micro machining, we show that high reproducibility can be achieved. Additionally, the determined properties correlate well with their austenitic (AISI D3) and martensitic (AISI5140) state. The AISI D3 shows an improved corrosion resistance, increased cutting forces during machining, and a higher deformation during particle-oriented peening. The reproducibility of the sample synthesis indicates that this type of sample is well suited for high-throughput methods to find new structural materials.

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Section: Sample Synthesismentioning

confidence: 99%

Reproducibility of High-Throughput Sample Properties Produced by a High-Temperature Molten Metal Droplet Generator

Moqadam

Baune

Bösing

et al. 2020

Metals

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“…A high temperature drop-ondemand droplet generator for metallic melts was analyzed by Imani Moqadam et al [18]. Microstructure adjustment of spherical micro-samples for high-throughput analysis using a drop-on-demand droplet generator were also analyzed by the latter authors [19]. Electrohydrodynamic drop-on-demand printing of aqueous suspensions of drug nanoparticles were introduced by Elele et al [20].…”

Section: Introductionmentioning

confidence: 99%

Numerical Modeling of the Motion and Interaction of a Droplet of an Inkjet Printing Process with a Flat Surface

et al. 2021

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The numerical simulation and analysis of the ejection of an ink droplet through a nozzle as well its motion through air until its contact with a surface and taking up of a stable form is performed. The fluid flow is modeled by the incompressible Navier–Stokes equations with added surface tension. The presented model can be solved using either a level set or a phase field method to track the fluid interface. Here, the level set method is used to determinate the interface between ink and air. The presented work concentrates on the demonstration how to check the suitability of ink for inkjet printhead nozzles, for instance, for the use in printers. The results such as velocity, change of size, and volume dependence on time of an ink droplet are presented. Recommendations for the use of specific inks are also given.

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“…20 Substantial time reduction is achieved by drop-ondemand droplet generators producing thousands of microspheres (d 1 mm) of different alloys. 21 New short-term characterization test methods designed for a high-throughput and adapted to the unconventional sample size and geometry have been developed. 22 In this study, the compression test on spherical micro samples is used as a short-term characterization method for a descriptor-based analysis of metallic materials.…”

Section: Introductionmentioning

confidence: 99%

Analysis and evaluation of mechanical descriptors from micro compression tests on spherical samples

Sonnenberg

Clausen

2021

Proceedings of the Institution of Mechanical Engineers, Part L:

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Within the development of a novel high-throughput method for the discovery of new structural materials, a compression test on spherical micro samples is established as a short-term characterization process. In this study, the experimental investigations regarding the elastic–plastic deformation behavior of microspheres are carried out on the bearing steel X46Cr13 in 10 different heat treatment conditions. Characteristic values, so-called descriptors, can be derived directly from continuously measured force–displacement curves or are normalized by taking the sample geometry into account. In addition to micro compression tests with quasi-static loading, load increase tests are performed, in which a spherical sample is repeatedly loaded and unloaded with progressively increasing loads. Loading and unloading phases and the development of the displacement amplitude of the hysteresis are analyzed. New descriptors of load increase tests are extracted and discussed regarding their statistical significance and validity as descriptor showing a high potential for a fast characterization of the material behavior during cyclic loading. The descriptor-based micro compression test proves to be a robust method and is a promising approach for a fast evaluation of different material conditions.

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Microstructure Adjustment of Spherical Micro-samples for High-Throughput Analysis Using a Drop-on-Demand Droplet Generator

Cited by 12 publications

References 21 publications

Reproducibility of High-Throughput Sample Properties Produced by a High-Temperature Molten Metal Droplet Generator

Reproducibility of High-Throughput Sample Properties Produced by a High-Temperature Molten Metal Droplet Generator

Numerical Modeling of the Motion and Interaction of a Droplet of an Inkjet Printing Process with a Flat Surface

Analysis and evaluation of mechanical descriptors from micro compression tests on spherical samples

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