2019
DOI: 10.1063/1.5112634
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Connection between shock wave induced indentations and hardness by means of neural networks

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Cited by 5 publications
(2 citation statements)
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“…The descriptors were measured by means of a laser-scanning confocal microscope after the impact. Experiments revealed that the hardness can be predicted by means of neural networks when the descriptors' depth and diameter are considered, which shows that both descriptors contain relevant information [10].…”
Section: Results Of Indentation Measurement By Lisementioning
confidence: 95%
“…The descriptors were measured by means of a laser-scanning confocal microscope after the impact. Experiments revealed that the hardness can be predicted by means of neural networks when the descriptors' depth and diameter are considered, which shows that both descriptors contain relevant information [10].…”
Section: Results Of Indentation Measurement By Lisementioning
confidence: 95%
“…These values are correlated with mechanical material properties. So far, it has been shown that the measured characteristic values (indentation depth, indentation diameter and pile-up as well as sink-in behavior) with LiSE strongly correlate with the material hardness [8] and tensile strength [9]. Pre-treatment and ablation layers of the indenter are not necessary with the wavelength of the laser beam (λ = 10.6 µm) because a plasma is quasi-instantly formed on top of the irradiated surface, which absorbs nearly all the irradiation of the laser beam [10].…”
Section: Introductionmentioning
confidence: 99%