To improve the control accuracy, dynamic and static characteristics of the system need to be tuned. In this paper, we use a glowworm algorithm with an improved adaptive step size to tune the parameters of a robust adaptive fuzzy controller. Finally, the workpieces of three different materials are cut with two different cutting methods. The study revealed that the surface roughness value is reduced by 20 %–32 %, which further verifies the effectiveness of the optimal controller’s parameters.

In this article, the lightweight design of a palletizing manipulator arm structure is carried out. The optimization target is designed in 3D with Solid Works. To determine the optimization area and the secondary reconstruction model after the structure is optimized, the reliability and cost of the design structure are also considered. The meta-software performs mechanical performance simulation experiments under the corresponding working conditions for the lightweight structural design.

This research investigates the outcome of wire EDM process over the taper cross-sectional workpieces of Titanium Alloy (Ti6Al-4V). The outcomes result in better kerf width, surface finish, wire wear and metal removal rates, which can be controlled by taper angle of the workpiece, current, and pulse-off time. The effect of these parameters over the four outcomes of the wire EDM process have been studied in this research. Mathematical models have been developed to predict the outcomes.

This paper investigates an experiment with the cryogenically treated copper electrode and an ordinary copper electrode with various input parameters like electrode rotation, gap voltage and discharge current for an EN24 material. An experiment was performed on an electrical discharge machine. Designs of an experiment are carried out using the Taguchi approach. This research finds optimal or dominating factors in both traditional and non-traditional machining processes.