In recent years, minimum quantity lubrication machining has played a critical role in extending tool life, improving surface finish, and reducing tool wear during the machining of hardened steel. The reported investigation involved the utility of Hardox 500 steel for the machining process while the cubic boron nitride coated tool performed the function of removing the material. The investigation was carried out by adopting two different techniques to predict the responses, viz., the response surface methodology and the artificial neural network. These techniques have been employed to predict the possible responses in investigating machining characteristics. Also, due consideration has been made concerning the reduction of tool-tip temperature and surface roughness. The entire investigation was carried out using three different environments. They are dry machining, wet, and minimum quantity lubrication. A scanning electron microscope was used for examining the morphology of the worn tool surface.

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The present investigation pertains to synthesize aluminium bronze silicon carbide composite by powder metallurgy route. Three various weight percentages of silicon carbide (0, 2, 4 & 6) were reinforced with aluminium bronze matrix (Cu-20%Al-4%Ni) and the hydraulic press was used to prepare the green compact. This compact was heated at two different temperatures such as 6500C and 7500C using tubular furnace. The effect of silicon carbide on density, sinterability, compression test and hardness test was analyzed. The scanning electron microscope and energy dispersive spectroscopy were used to confirm the presence of alloying elements. The results showed that the sinterability and density were reduced with an increase in silicon carbide content. The composite reinforced with 6%SiC exhibited lowest compressive strength among other composites. The 4 wt.% SiC reinforced composites sintered at 7500C has highest corrosion resistance.