English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Aluminium alloy strengthened with the ceramic particle is widely utilized for numerous engineering usages owing to its less weight, and superior mechanical and tribological behavior. The purpose of this research is to manufacture AA6063-Nano AlN composites via stir casting (SC) process and to examine the mechanical, tribological, electrical, and thermal and CNC drilling behavior. Nano AlN was mixed with AA6063 at 4, 8, and 12 wt.%. The occurrence and dispersal of Nano AlN particles in AA6063 matrix were inspected via Scanning Electron Microscope (SEM). The density and porosity were explored. The mechanical studies on microhardness, tensile strength and yield strength, flexural strength, and compressive strength have been done. SEM fractographic examination was made on the tensile fracture samples. The thermal conductivity, electrical resistivity and electrical conductivity, and salt spray corrosion analysis were made on the produced composites. The tribological behavior of the composites was studied using numerous parameters, reinforcement wt.%, load (L), sliding velocity (SV), and sliding distance (SD). The worn surface examination was done via SEM. The CNC drilling behavior was done at different parameter speed (S), feed (F), and depth of cut (DOC). Experiments were carried out according to the L9 orthogonal array (OA). Optimal process parameter to attain higher material removal rate (MRR) and least surface roughness (SR) was identified via Grey Relational Analysis (GRA). ANOVA outcomes revealed that feed rate is the foremost noteworthy parameter (45.89%) influencing MRR and SR.

journal of nanomaterials

Effect of Nanoaluminium Nitride Ceramic Particles on Microstructure, Mechanical Wear, and Machining Behavior of Al-Si-Mg Alloy Matrix Composites Produced by Bottom Pouring Type Stir Casting Route