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Published in 2021 at "Materials Today Communications"
DOI: 10.1016/j.mtcomm.2021.102032
Abstract: Abstract The data-driven model is the core issue of the Material Genome Initiative (MGI), but how to quickly obtain a large amount of material data has become a critical issue that needs to be resolved.…
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Keywords:
literature;
text mining;
active learning;
material ... See more keywords
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Published in 2019 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2019.02.120
Abstract: Abstract Springs for electrical components made from strip materials and flat wires are produced using stamping and forming technologies. The process design of multi-stage stamping and bending processes is still based on expert knowledge and…
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Keywords:
high strength;
material data;
spring steel;
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Published in 2019 at "Procedia Manufacturing"
DOI: 10.1016/j.promfg.2019.02.157
Abstract: Abstract The process of roller levelling is essential to ensure flatness of sheet metals and to reduce residual stresses within the material. Besides process parameters like machine geometry and roll positions, the process is sensitive…
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Keywords:
inverse identification;
semi analytical;
model;
material ... See more keywords
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Published in 2020 at "npj Computational Materials"
DOI: 10.1038/s41524-020-00392-6
Abstract: Recent progress in material data mining has been driven by high-capacity models trained on large datasets. However, collecting experimental data (real data) has been extremely costly owing to the amount of human effort and expertise…
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Keywords:
strategy;
data mining;
mining;
material data ... See more keywords