Results 251 to 260 of about 12,216,408 (279)
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Applied Composite Materials, 2010
The surface damage characteristics of a continuous carbon fiber reinforced composite, having a polyetheretherketone (PEEK) matrix, were investigated under sliding and rolling contact. The corresponding mechanisms were studied by the use of scanning electron microscopy (SEM) in three different fiber orientations, namely: Paralllel direction to the ...
Abdulhakim Almajid +3 more
openaire +1 more source
The surface damage characteristics of a continuous carbon fiber reinforced composite, having a polyetheretherketone (PEEK) matrix, were investigated under sliding and rolling contact. The corresponding mechanisms were studied by the use of scanning electron microscopy (SEM) in three different fiber orientations, namely: Paralllel direction to the ...
Abdulhakim Almajid +3 more
openaire +1 more source
Multidiscipline Modeling in Materials and Structures
PurposeThis study explores how titanium oxide (TiO2) filler influences the specific wear rate (SWR) in flax fiber-reinforced epoxy composites (FFRCs) through a Taguchi approach. It aims to boost abrasive wear resistance by incorporating TiO2 filler, promoting sustainable and eco-friendly materials.Design/methodology/approachThis study fabricates epoxy ...
Ravikantha Prabhu +4 more
openaire +1 more source
PurposeThis study explores how titanium oxide (TiO2) filler influences the specific wear rate (SWR) in flax fiber-reinforced epoxy composites (FFRCs) through a Taguchi approach. It aims to boost abrasive wear resistance by incorporating TiO2 filler, promoting sustainable and eco-friendly materials.Design/methodology/approachThis study fabricates epoxy ...
Ravikantha Prabhu +4 more
openaire +1 more source
Tribology - Materials, Surfaces & Interfaces
This study introduces a machine learning (ML) framework to predict the Coefficient of Friction (CoF) and Specific Wear Rate (SWR) in aluminum-based composites reinforced with SiC and MoS 2 .
openaire +1 more source
This study introduces a machine learning (ML) framework to predict the Coefficient of Friction (CoF) and Specific Wear Rate (SWR) in aluminum-based composites reinforced with SiC and MoS 2 .
openaire +1 more source
Recent Progress on Wear‐Resistant Materials: Designs, Properties, and Applications
Advanced Science, 2021Kun Zhou, Guozheng Kang, Lichun Bai
exaly
Superior high-temperature wear resistance of an Ir-Ta-Ni-Nb bulk metallic glass
Journal of Materials Science and Technology, 2023Pengfei Wang, Jiang Ma
exaly
Effect of tempering conditions on wear resistance in various wear mechanisms of H13 steel
Tribology International, 2011S Q Wang, K M Chen, X H Cui
exaly
Real-time tool wear monitoring in milling using a cutting condition independent method
International Journal of Machine Tools and Manufacture, 2015Ernst Linder
exaly

