Jan Gerlach

SPARSE — Efficient high-resolution SEM imaging of rare microstructural features across large areas by selective rescanning

Tom Reclik, Jan Gerlach, Maximilian A. Wollenweber, Yannis P. Korkolis et autres

Characterisation of rare microstructural features in scanning electron microscopy (SEM) requires imaging large areas at high resolution. This leads to prohibitively long acquisition times. We present an open-source Python framework that addresses this bottleneck through a two-stage approach: a fast scan identifies …

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SPARSE -- Efficient High-Resolution SEM Imaging of Rare Microstructural Features Across Large Areas by Selective Rescanning

Tom Reclik, Jan Gerlach, Maximilian Aeneas Wollenweber, Yannis Korkolis et autres

SPARSE is an open-source framework for automated panoramic imaging with scanning electron microscopes (SEM). Resolving rare microstructural features across a large sample area is prohibitively slow when the whole area is acquired at full imaging quality. SPARSE instead acquires the sample first …

de (code pays fourni par la source)

SPARSE -- Efficient High-Resolution SEM Imaging of Rare Microstructural Features Across Large Areas by Selective Rescanning

Tom Reclik, Jan Gerlach, Maximilian A. Wollenweber, Yannis P. Korkolis et autres

SPARSE is an open-source framework for automated panoramic imaging with scanning electron microscopes (SEM). Resolving rare microstructural features across a large sample area is prohibitively slow when the whole area is acquired at full imaging quality. SPARSE instead acquires the sample first …

de (code pays fourni par la source)

SPARSE -- Efficient High-Resolution SEM Imaging of Rare Microstructural Features Across Large Areas by Selective Rescanning

Tom Reclik, Jan Gerlach, Maximilian Aeneas Wollenweber, Yannis Korkolis et autres

SPARSE is an open-source framework for automated panoramic imaging with scanning electron microscopes (SEM). Resolving rare microstructural features across a large sample area is prohibitively slow when the whole area is acquired at full imaging quality. SPARSE instead acquires the sample first …

de (code pays fourni par la source)

Decoupling plasticity- and damage-induced property changes by an elasto-plasticity framework coupled with a data-driven damage evolution model

Jan Gerlach, W. Muhammad, A.P. Brahme, Marlon Hahn et autres

In one approach in damage mechanics, deterioration of mechanical properties with plastic deformation is attributed to ductile damage in the form of void nucleation and growth. However, the quantitative relationship between damage and these properties remains unclear, primarily due to the difficulty …

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Damage-induced changes in elastic stiffness of DP800 sheets at large strains

Jan Gerlach, Robin Gitschel, Marlon Hahn, Yannis P. Korkolis et autres

Damage is associated with the performance of formed components. Quantifying its influence is challenging due to interactions with other product properties such as strain hardening, texture and residual stresses. To isolate the effect of damage on the elastic stiffness after large plastic …

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Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification

Jan Gerlach, Robin Schulte, Alexander Schowtjak, Till Clausmeyer et autres

Abstract The open-source parameter identification tool ADAPT (A diversely applicable parameter identification Tool) is integrated with a machine learning-based approach for start value prediction in order to calibrate a Gurson–Tvergaard–Needleman (GTN) and a Lemaitre damage model. As representative example case-hardened steel 16MnCrS5 …

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Low cycle fatigue of components manufactured by rod extrusion: Experiments and modeling

Kai Langenfeld, Lars Andree Lingnau, Jan Gerlach, Patrick S. Kurzeja et autres

The performance of formed components is significantly influenced by the initiation of ductile damage. Preceding forming operations, for instance, affect the service life determined in fatigue tests. In the current investigation, the effect of ductile damage in forming is isolated by changing …

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Data-driven ductile damage model for damage-induced material degradation in forming

Jan Gerlach, Till Clausmeyer, Alexander Schowtjak, Waqas Muhammad et autres

In forming processes, the material undergoes large and complex deformations that influence the shape and properties of the final component. Especially the local weakening of the microstructure in the form of ductile damage, defined as the nucleation, growth and coalescence of voids, …

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Prediction of ductile damage evolution based on experimental data using artificial neural networks

Alexander Schowtjak, Jan Gerlach, Waqas Muhammad, Abhijit P. Brahme et autres

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