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.

Rotary forging is a continuous local pressure plastic forming technology. The equipment to realize the rotary forging technology is called the rotary forging machine. In this paper, the finite element analysis of the frame of the rotary forging machine is carried out, and then the structure and size of the machine frame are optimized. Finally, the experimental results show that the grain size and hardness of the formed workpiece are improved, which shows that the optimization scheme is reasonable.