Abstract
Stainless steel 304 has excellent mechanical qualities, good fatigue resistance, and resistance to oxidation. Additionally, the turning of SS304 under MQL needs to be addressed. This work aims to evaluate the machinability study using carbide cutting inserts and nanoparticle-assisted MQL on CNC turning. As a methodology, Response Surface Methodology, Box Behnken Design, and response surface optimization were used. Based on the fitted regression model, a 3D plot was used to analyse the collected machining data. Researchers have been attracted to nano fluids over the last decade due to their improved thermal conductivity and heat extraction capability. The current study creates a new nanofluid by adding HBN nano particles in cutting fluid. Likewise, its machining performance is assessed while turning an SS304 workpiece utilising the minimum quantity lubrication (MQL) technique based on nanoparticles. Additionally, the outcomes are examined with MQL with conventional cutting fluid and dry machining. The experimental study clearly shows that HBN nano fluid performs better than conventional cutting fluid with MQL and Dry machining in terms of surface roughness, tool wear, Flank Wear.
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