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Recently, alumina matrix composites were selected as the best new family of ceramics to provide the foundation for an expanded use of ceramics in orthopedics.
Due to high stability in diluted acidic solution, SnO2-CNTs composites were selected as the catalyst support and second catalyst for ethanol electrooxidation.
The mechanical properties and the melt flow index (MFI) of composites were selected as output responses and the effect of CaCO3, BaSO4 and EAFD fillers as well as different polymer matrixes were evaluated.
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Distance from the IR source, curing schedule and volume of the composite were selected as the IR cure parameters for optimization.
Process parameters for the analysis, such as the amount of Zirconia reinforcement added to alumina matrix, compaction pressure to form the green bodies of required shape and sintering temperature to make the final composite were selected as the control variables.
Thus, 50 cycles of electropolymerization for fabrication the MWCNTs/PoAP composite was selected for this study and it exhibited favorable analytical performance.
And the PEDOT/Au/GO composite was selected for evaluating its potential application as electrochemical sensor for detection of nitrite and iodate on the basis of systematic studies on the amperometric determination of nitrite and iodate.
Poly amidoamine) dendrimers-modified reduced graphene oxide nanosheets (PAMAM/rGO) composite was selected as a carrier of heterogeneous Ag0.3Co0.7 nanoparticles in order to obtain an excellent catalyst for ammonia borane (AB) hydrolysis.
The total cylinder volume of interests (VOIs-T) (4.8 mm in diameter and 10 mm in height) including osteochondral composite was selected from the reconstructed datasets.
Hence the optimal printing sets of parameters for both anode composites inks were selected for opening times providing sable jetting and velocities above 1.5 m/s as well as complete absence of any "coffee ring effect".
Reaction-bonded silicon carbide (RB SiC) and silicon carbide particle reinforced aluminum matrix composites (SiCp/Al) were selected as candidate materials for the mirror, and the finite element model created by discretizing the mirror assembly was employed to predict the performance of the mirror.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com