This article demonstrates the effectiveness of optimising multiple quality characteristics (electrode depletion (ED), material removal rate (MRR) and overcut) to achieve a better finish quality for micro-electrical discharge machining (micro-EDM) of Ti-6Al-4V alloy, using the grey-Taguchi method. The effect of various cutting factors (peak current, pulse on-time, pulse off-time and gap) on the ED, MRR and overcut for micro-EDM of Ti-6Al-4V alloy is analysed. The experimental results show that the peak current and pulse on-time are the most important factors in the micro-EDM of Ti-6Al-4V alloy. The optimum conditions for good multiple performance characteristics for the micro-EDM of Ti-6Al-4V alloy, A₁B₁C₃D₃, are a peak current of 0.3 A, a pulse on-time of 6 μs, a pulse off-time of 13 μs and a gap of 40 V. The ED is decreased from 129.1 to 70.6 μm, the MRR is decreased from 8.58 to 4.05 × 10⁻⁴ mm³/min and the overcut is decreased from 20.00 to 16.23 μm. The use of the grey-Taguchi method results in clear improvements in ED and overcut.

Injection molding (IM) is a rapid process that injects molten plastic into a mold cavity for cooling and solidification. It is widely used in daily necessities, auto parts, medical equipment, electronic products, and infant toys. However, the process parameters of IM are complex and interact with each other. IM simulation software can not only provide optimized solutions to process problems, but also improve the quality of manufactured parts. This study report combines Taguchi design and computational software (Moldflow, MINITAB, and MATLAB) to analyze and simulate the process parameters of the back cover of the LCD monitor to obtain its minimum warpage (W) in z-direction. The results of Taguchi design (traditional optimization technique) show that the optimal processing parameter combination to obtain W is 40°C of mold temperature (A₁), 220°C of plastic temperature (B₁), 70 MPa of packing pressure (C₁), 5 s of holding time (D₃), 20 s of cooling time (E₁), 60 cm³/s of injection speed (F₁), 40% of switch position (G₁), and 90 MPa of the injection pressure (H₃), named as A₁B₁C₁D₃E₁F₁G₁H₃. Four important parameters (B, C, D, and G) were obtained by Taguchi design in IM process. The computed warpage errors, obtained by Moldflow software and regression analysis, are less than 2.5%. However, Taguchi design can only result in an optimal set of combinations of specified processing parameters. The particle swarm optimization (PSO) algorithm, which is a non-traditional optimization technique, often overcomes obstacles faced by Taguchi design. The examined warpage errors through Moldflow software and PSO are less than 3.5%. It is shown that the combination of Taguchi design and PSO algorithm is very suitable for processing optimization of IM production. Its smart manufacturing method can not only reduce production costs and time, but also increase the flexibility of processing parameter selection to a greater extent.