Hybrid Taguchi Grey Relational Analysis (TGRA) Method for Multi-Optimization of Machining Process Factors

An effort to optimize machining processes, such as turning operations, is made in this work. The following are adjustable process parameters: cutting environment (CE), feed rate (FR), depth of cut (DOC), nose radius (NR), and type of tool (TT). The parameters of the response are surface roughness (SR), Material removal rate (MRR), Cutting force (CF), Tool tip Temperature (Temp) and tool wear (TW). For experiments, the L27 Taguchi (OA) Orthogonal Array is employed. The CNC Spinner lathe is used for the experimentation. The most recent coolant system, known as MQL, is employed in today's manufacturing setting. The Taguchi method and Grey Relational Analysis (GRA) are utilized for data analysis. GRA processes several output parameters and combines them into a single response parameter. Lastly, the ideal process parameters are determined using the traditional Taguchi approach. The contribution and ranking of input parameters are determined using ANOV A and signal to noise ratio (SRN) in order to maximize a number of output parameters. The conformance test is used to formulate the results' hypothesis. The conformance test findings showed that both the experimental and projected values are acceptable.