2018
DOI: 10.1016/j.matpr.2018.06.433
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Tribological behaviour of ceramic and carbon nano-tube reinforced metal matrix composites - a review

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Cited by 6 publications
(2 citation statements)
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“…Given the well-developed techniques for the synthesis of 1D-nanocoatings, many works demonstrated the potential of 1D-nanofillers to significantly improve the mechanical and tribological behaviors of MBCs. 120,132,133 Chronopoulou et al 134 produced MWCNT-Al 2 O 3 /Ni coatings via the pulse plating technique. It was detected that the presence of sodium dodecyl sulfate (SDS) promoted the well-proportioned dispersion of the hybrid MWCNT-Al 2 O 3 particles on the coating surface.…”
Section: One-dimensional Nanofillersmentioning
confidence: 99%
“…Given the well-developed techniques for the synthesis of 1D-nanocoatings, many works demonstrated the potential of 1D-nanofillers to significantly improve the mechanical and tribological behaviors of MBCs. 120,132,133 Chronopoulou et al 134 produced MWCNT-Al 2 O 3 /Ni coatings via the pulse plating technique. It was detected that the presence of sodium dodecyl sulfate (SDS) promoted the well-proportioned dispersion of the hybrid MWCNT-Al 2 O 3 particles on the coating surface.…”
Section: One-dimensional Nanofillersmentioning
confidence: 99%
“…As an alternative, theoretical formulation and numerical simulation become the effective and efficient techniques for modeling the material properties of CNTRCs, which serve as the necessary supplement or partial substitution of the real test. In recent time, many review papers have been discussed the experiments of this topic [17,[44][45][46][47], therefore, the present paper will provide mainly the surveys of the theoretical formulation and numerical modeling of CNTRs. Currently there existed three common modeling approaches, namely (1) atomistic modeling, e.g., molecular dynamics (MD) simulations; (2) continuum mechanics modeling; and (3) multiscale modeling, which have been employed and developed.…”
Section: Modeling and Analysis Of Cntrcsmentioning
confidence: 99%