Results 51 to 60 of about 3,050,186 (298)
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
Virtual Sensor-Based Geometry Prediction of Complex Sheet Metal Parts Formed by Robotic Rollforming
Sheet metal parts can often replace milled components, strongly improving the buy-to-fly ratio in the aeronautical sector. However, the sheet metal forming of complex parts traditionally requires expensive tooling, which is usually prohibitive for low ...
Tina Abdolmohammadi +5 more
doaj +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
A pilot prototype production line for the hot-forming of aluminium alloy sheets with fast contact-cooling and multi-point tooling [PDF]
This paper reports the study of the process chain for sheet metal forming using multi-point tooling for stamping at elevated temperatures and developing a complete production line integrating heating, intermediate fast-cooling, forming and aging. It aims
Yang Song +3 more
doaj +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
The paper evaluates the drawability of titanium sheet metal Grade 2, with the focus on friction conditions that are present in the sheet metal forming process. The study aims to present the results of the examinations of the friction coefficient during a
Więckowski W., Dyja K.
doaj +1 more source
Including die and press deformations in sheet metal forming simulations
Structural analysis, in Abaqus, of a stamping die and subsequent morphing of the tool surfaces in AutoForm were performed to improve a sheet metal forming simulation. First, the tool surfaces of the XC90 rear door inner were scanned.
Sigvant, Mats, +2 more
core +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
On the constitutive modelling of twip steels and its application to sheet metal forming simulations
S.35-40Over the past years, high manganese austenitic TWIP (twinning induced plasticity) steels have received much attention due to their extraordinary ductility at high tensile strength.
Haufe, A. +10 more
core +1 more source
The Effect of Blankholder Pressure on the Amount of Springback in the U-Draw Bending Process
Springback in sheet metal forming processes is a phenomenon that makes it difficult to obtain products with the desired geometry. This paper presents the results of research on the effect of the blankholder pressure on the elastic deformations of sheets ...
Romuald Fejkiel
doaj +1 more source

