A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
ANN-based fault classification and localization with optimized PMU deployment for transmission systems. [PDF]
Malini T, Thirumoorthi P, Lakshmi K.
europepmc +1 more source
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De +3 more
wiley +1 more source
Investigation of surface subsidence behaviour in multi-slice longwall mining using numerical simulations in Barapukuria coal mine, Bangladesh. [PDF]
Zhang C +6 more
europepmc +1 more source
This study investigates laser metal deposition of aluminum alloys EN AW‐7075 and EN AW‐5083, using powder blending to compensate zinc and magnesium evaporation. In situ alloying and ex situ alloying with ZnAl12 and AZ91 preserve near‐standard compositions and improve mechanical properties.
Finn Bendixen +3 more
wiley +1 more source
Machine learning based fault classification for improved induction motor performance. [PDF]
Khan ZA +5 more
europepmc +1 more source
Rheocasting versus Die Casting: An Insight into the Low‐Cycle Fatigue Behavior of AlSi7Mg0.6
The study compares rheocast lightweight components with high‐pressure die cast materials regarding microstructure and fatigue behavior. Rheocast process offers higher efficiency due to lower casting temperatures. Despite some microstructural differences, both processes show similar strengths (yield strength 125 MPa, tensile strength 240 MPa).
Julia Richter +4 more
wiley +1 more source
An empirical study of fault localisation techniques for deep neural networks. [PDF]
Humbatova N +4 more
europepmc +1 more source
Can Ti‐Based MXenes Serve as Solid Lubricants for Brake Applications? A Tribological Study
This study explores the first implementation of Ti‐based MXenes materials in brake pad friction composite material. The resulting composite material exhibits a 48% reduction in the wear rate; alongside significant improvements are observed for thermal and mechanical properties.
Eslam Mahmoud +7 more
wiley +1 more source
Classification of Single Line to Ground Faults on Double Circuit Transmission Line using ANN
Anamika Jain, A. S. Thoke, R. N. Patel
semanticscholar +1 more source

