Response surface methodology (RSM)-based machining parameter optimization for minimization of burr in CNC turning of materials

The complicated combined impacts of multiple parameters that affect the cutting process might make it challenging to describe burrs generated during face milling operations. The objective of the work is to study the influence of turning parameters such as depth of cut, spindle speed, and feed on three output performances such as machining time, surface roughness, and burr height. The three turning input parameters and three output turning performances are considered for machining three different materials, such as stainless steel, low-carbon steel, and high-carbon steel. The experimental design is planned as per the box-behnken design for six types of materials. Tungsten carbide is utilized as a cutting tool for all turning operations. Output parameters like machining time, burr height, and surface roughness are calculated. Machined (turned) samples are studied under the influence of a scanning electron microscope (SEM) for burr formation. Surface roughness is measured by the surface roughness meter, and machining time is calculated by the CNC machine itself. ANOVA is used to investigate and optimize machining parameters influence on output performances. The mathematical model for three output performances, such as machining time, burr height, and surface roughness, has been developed using response surface methodology.