Results 121 to 130 of about 25,726 (266)

Simulation analysis and verification of brake shoe wear for urban rail vehicles

机车电传动
Frequent braking applications for speed regulation of urban rail vehicles cause repeated friction at elevated temperatures between the wheels and brake shoes, which accelerates brake shoe wear. This paper presents a study of wear patterns for brake shoes
XUE Wensheng, ZHU Wenliang, YU Chaogang, SUN Ningyuan   +3 more
doaj  

A data-driven approach for high-accuracy tool wear prediction in machining Hastelloy C276. [PDF]

Sci Rep
Abdullah M, Rao ACU, Ramachandran T, Biswal S, Chaudhary SP, Singh R, Mishra A, Mann VS, Bhowmik A, Abate L.   +9 more
europepmc   +1 more source

Influence of Carbon Nanoparticles on Electrically Induced Wear of Grease‐Lubricated Steels

Advanced Materials Interfaces, EarlyView.
When an electric current enters a pair of rubbing surfaces, enormous damage takes place. In this research, how such damage occurs in the presence of protective grease and the mitigation with added carbon nanoparticles, were investigated. It was discovered that those particles regulate transport and interfacial electrical stability of the grease ...
Mohammad Humaun Kabir, Darrius Dias, Jacob Bons, MD Wasek Foysal, Evan Johnson, Joe Kosmoski, Hong Liang   +6 more
wiley   +1 more source

Research on Tool Wear Prediction Method Based on CNN-ResNet-CBAM-BiGRU. [PDF]

Sensors (Basel)
Sun B, Wang H, Zhang J, Zhang L, Wu X.
europepmc   +1 more source

Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine

Advanced Materials Interfaces, EarlyView.
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee, Mohammad Rabiee, Mohammad Akrami‐Hasan‐Kohal, Sidi A. Bencherif   +3 more
wiley   +1 more source

Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling. [PDF]

Sci Rep
Nguyen HP, Nguyen DT, Kim JM.
europepmc   +1 more source

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

Advanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

CBN cutting tool's surface roughness and tool wear prediction using JOA-optimized CNN-LSTM. [PDF]

Sci Rep
Khetre S, Bongale A, Kumar S.
europepmc   +1 more source

Micropillar‐Engineered Hybrid Adhesive Patch for Surface‐Conformable and Directional Adhesion

Advanced Materials Technologies, EarlyView.
This work presents a surface‐conformable hybrid adhesive integrating height‐optimized hexagonal micropillars with open‐rectangular cuts. The micropillars enhance rough‐surface contact and microscale crack arrest, while the cuts guide and reverse interfacial cracks for strong and directional adhesion. The multiscale architecture achieves robust pull‐off
Seongjin Park, Dong Kwan Kang, Haejin Bae, Ho‐Sup Jung, Hoon Eui Jeong   +4 more
wiley   +1 more source

Medial unicompartmental knee arthroplasty wear prediction using a total knee joint finite element model. [PDF]

Front Bioeng Biotechnol
Zhu X, Mao Z, Li R, Ma S, Lv R, Zhao F.
europepmc   +1 more source