Results 161 to 170 of about 71,774 (355)
This work introduces a substrate‐independent, reagent‐free plasma strategy that forms radical‐rich interlayers for covalent hydrogel attachment without initiators or crosslinkers. The long‐lived radicals drive in situ gelation, creating robust, cytocompatible hybrid solid–hydrogel constructs across diverse substrates.
Ghazal Shineh +14 more
wiley +1 more source
Alloy Layer Formation and Abrasive Wear Property of High Temperature Aluminized Stainless Steels
Kengo Kamasaki, Takao YAKOU
openalex +2 more sources
Abrasive wear properties of compressed sugi wood [PDF]
Tadashi Ohtani +2 more
openalex +1 more source
Research of Resistance of Selected Materials to Abrasive Wear to Increase the Ploughshare Lifetime [PDF]
Monika Vargová +3 more
openalex +1 more source
This study addresses the core scientific question of atomic‐scale structural units and their assembly mechanisms by integrating ion implantation technology— originally developed in nuclear physics research—with flexible intelligent polymers. Through this interdisciplinary approach, we have enabled on‐demand customization of surface functionalities and ...
Yi Chen +11 more
wiley +1 more source
Development of a new standard procedure for the evaluation of composite abrasive wear
This article discusses the development of a test bench and a methodology for the study of composite resin abrasive wear. To evaluate the operation of the test bench and to compare the proposed methodology with other existing ones, a study was made of the
Bianchi Eduardo Carlos +5 more
doaj
Investigations of Abrasive Wear Behaviour of Hybrid High-Boron Multi-Component Alloys: Effect of Boron and Carbon Contents by the Factorial Design Method. [PDF]
Chabak Y +9 more
europepmc +1 more source
Experiment and simulation research on abrasive water jet nozzle wear behavior and anti-wear structural improvement [PDF]
Xiaochen Chen +3 more
openalex +1 more source
Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley +1 more source

