Exploring MgO/HA ceramic nano-composites for biodegradable implants: Exploring biological properties and micromechanics

Khalili, Vida; Sengstock, Christina; Kalchev, Yordan; Pfetzing‐Micklich, Janine; Frenzel, Jan

doi:10.1016/j.surfcoat.2022.128730

Cited by 3 publications

(1 citation statement)

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“…In their low MMCs or AMMCs, it definitely enhances the mechanical properties when combine to the proper reinforcing particle especially in the nano-based reinforcing particles and also selecting the process parameters or the processing technique. For that reason, these AMMCs are started in the widespread with aerospace, vehicle, and shipbuilding applications to boost their residential properties top quality in the metal matrix compounds than the unreinforced base material [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Tribological Behavior on Stir-Casted Metal Matrix Composites of Al8011 and Nano Boron Carbide Particles

Vinayaka¹,

Christiyan

Shreepad³

et al. 2023

Journal of Nanomaterials

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The aluminum metal matrix composites were broadly exploited in the applications of automotive, aerospace, and other defense with functionally graded materials-related application. Above applications definitely required excellent mechanical characteristics. Therefore, in this way, the major attempt was made on the nano-based composites with aluminum alloy utilization. In this research, aluminum alloy AA8011 and the ceramic-based reinforcement particles of nano boron carbide (B4C) were selected for producing the metal matrix composites by the liquefying process or stir casting route. The weight percentage of nano boron carbide particles having 15 wt% was subjected to add into the aluminum alloy during the stir casting process. Then, processed nano boron carbide and AA8011 specimens were prepared to conduct tribological behaviors with various processing conditions like sliding velocity, setting wear temperature, and applied load by the tribometer setup. The scanning electron microscope was employed to examine the processed composites samples and worn-out surface samples. Finally, the multiobjective optimization was used to measure the individual performances of the tribological parameters by the gray relational technique.

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Section: Introductionmentioning

confidence: 99%