Optimization of 6061T6 CNC Boring Process Using the Taguchi Method and Grey Relational Analysis

Abstract

This study investigated the optimization of computer numerical control (CNC) boring operation parameters for aluminum alloy 6061T6 using the grey relational analysis (GRA) method. Nine experimental runs based on an orthogonal array of Taguchi method were performed. The surface properties of roughness average and roughness maximum as well as the roundness were selected as the quality targets. An optimal parameter combination of the CNC boring operation was obtained via GRA. By analyzing the grey relational grade matrix, the degree of influenced for each controllable process factor onto individual quality targets can be found. The feed rate is identified to be the most influence on the roughness average and roughness maximum, and the cutting speed is the most influential factor to the roundness. Additionally, the analysis of variance (ANOVA) was also applied to identify the most significant factor; the feed rate is the most significant controlled factor for the CNC boring operations according to the weighted sum grade of the roughness average, roughness maximum and roundness.

Optimization of Inconel 600 Alloy Micro Turning Process Using Grey Relational Analysis

“…The grey relational gathering is obtained from the normalized values and then grey relational coefficient is determined to express the relationship between ideal and actual normalized experimental data [4][5]. During normalisation, the original data were gathered into the certain range up to one.…”