Results 71 to 80 of about 298,968 (280)
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
A Visual Recognition Method for Stacked Plates Based on Deep Learning
This paper addresses the problem of counting stacked components in industrial scenarios and proposes a method that combines close-range scanning for complete contour acquisition with deep learning for quantity recognition: The contour acquisition system ...
Xikuan Wu +5 more
doaj +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Design of multi-step dies for sheet metal forming using a workpiece-performance-based approach: A preliminary study [PDF]
Deep-drawn components are predominantly manufactured using multistep operations, e.g., in a progressive or transfer dies. Currently, intermediate die design is geometry-based and often neglects the influence of workpiece plastic flow during forming on ...
Marín Gabriel +4 more
doaj +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Additive manufacturing of metallic components often results in the formation of columnar grain structures aligned along the build direction. These elongated grains can introduce anisotropy, negatively impacting the mechanical properties of the components.
Dennis Lehnert +7 more
doaj +1 more source
This paper investigates the potential of a novel vibration-based thermal health monitoring method for continuous and on-board damage detection in fiber reinforced polymer sandwich structures, as typically used in aerospace applications.
Thomas Bergmayr +2 more
doaj +1 more source
Experiences of teaching a lightweight formal method [PDF]
This paper reports our experience of using a "lightweight" formal approach, Alloy, and its associated tool support for teaching a core undergraduate module introducing formal methods.
Boyatt, Russell, Sinclair, Jane
core +1 more source
Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
Combined additive manufacturing process for the production of sustainable concrete modules for the construction of a tiny house [PDF]
The work is about the development of a clinker-reduced concrete with a maximum grain size of 5.6 mm. The concrete is processed into modules for the construction of a tiny house using additive manufacturing technologies such as 3D printing and spraying ...
Abstoß Marvin +2 more
doaj +1 more source

