Assessment of factors influencing surface roughness on the machining of Al/SiC particulate composites

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Optimization of machining parameters in turning of Al−SiC−Gr hybrid metal matrix composites using grey-fuzzy algorithm (2014, background): “PALANIKUMAR and KARTHIKEYAN [6] indicated that on machining Al−SiC composite, the surface roughness is influenced by the feed rate, cutting speed and volume fraction of SiC particles.”
Effect of machining parameters on surface roughness and tool wear for 7075 Al alloy SiC composite (2010, background): “followed by cutting speed and percent volume fraction of SiC [ 4 ].”
A review on conventional and nonconventional machining of SiC particle-reinforced aluminium matrix composites (2020, background): “Palanikumar and Karthikeyan [91] insisted that feed rate was the main factor that had the greatest influence on the SR, followed by the cutting speed and SiC volume fraction.”
Study on tool wear and surface roughness in machining of particulate aluminum metal matrix composite-response surface methodology approach (2010, methodology): “As the cutting speed (s) increases, the BUE vanishes, chip fracture decreases, and, hence, the roughness decreases [ 21 ].”
Surface Roughness Analysis in Machining of Titanium Alloy (2008, background): “Although many factors affect the surface condition of machined part, machining parameters such as cutting speed, feed, and depth of cut have a significant influence on the surface roughness for a given machine tool and work piece set-up [16].”