Prediction of Process Parameters in CNC Milling of Natural Composites

In modern industrial applications, composite materials play a key role due to their easy production and cost effectiveness. Hemp fabric, obtained from the fiber of the Cannabis sativa plant, has gained importance as a sustainable textile. Originally used for industrial purposes such as cords and kernels, hemp stands out among natural fibers for its flexibility and durability. Jute fibers are mainly used in the manufacture of fabric, which is used for packaging various agricultural and industrial clothes, bags, jackets, packages, and wraps. Jute is especially desirable in scenarios that require a strong, bulky fabric, and stretch-resistant hemp due to its economical nature. This research focuses on the fabrication of the matrix material from natural fibers by hand laying method. The natural fibers used in this studio are hemp and jute, while the matrix material is epoxy resin. Composite material formed on CNC routers has three input parameters at three levels each: cutting speed (800, 1000, and 1200 rpm), depth of cut (8, 15, and 22 mm) and feed speed (50, 100, and 150 mm/rev). The studied responses included material movement speed (MPR) and surface roughness (Ra). Experimental procedures were carried out on CNC milling machines by design of experiments (DOE) using L9 orthogonal array (OA). Taguchi technique is used to predict process parameters.