Results 201 to 210 of about 284,385 (309)
Improvement of Adhesive Wear Behavior by Variable Heat Treatment of a Tool Steel for Sheet Metal Forming. [PDF]
Gonzalez-Pociño A +2 more
europepmc +1 more source
Micromechanical Modeling of DP600 steel: From Microstructure to The Sheet Metal Forming Process
Napat Vajragupta +5 more
openalex +1 more source
A polyelectrolyte complex‐based sorbent is produced by scalable, environmentally benign aqueous phase inversion. Its porous, LiCl‐ and GO‐integrated architecture enables hourly adsorption−desorption cycles at low relative humidity (RH < 30%). A large‐scale prototype achieves multicyclic, solar‐driven atmospheric water harvesting of 1.37 L kg−1 day−1 ...
Seung‐Hwan Oh +3 more
wiley +1 more source
Prediction of formation force during single-point incremental sheet metal forming using artificial intelligence techniques. [PDF]
Alsamhan A +4 more
europepmc +1 more source
Forming Limits Prediction of FCC Sheet Metal Adopting Crystal Plasticity
Wing Bun Lee, Yi Ping Chen, Suet To
openalex +1 more source
2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit +5 more
wiley +1 more source
Analysis of Forming Limits in Sheet Metal Forming with Pattern Recognition Methods. Part 2: Unsupervised Methodology and Application. [PDF]
Jaremenko C +3 more
europepmc +1 more source
EVALUATION OF CYCLIC FLOW CURVES FOR THE CALCULATION OF SHEET METAL FORMING PROCESSES
György Krállics +2 more
openalex +1 more source
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source

