Journal Article

Multi-objective optimization of forging surface structure parameters of radial forging die with cycloidal

Xu, Wenxia, Wang, Hongxia, Du, Zun, Wang, Junshi, Wang, Zhaohui

2023

Overview

To improve the radial forging quality of hollow shaft, the entrance surface is constructed using a radial forging die with a cycloid as the generatrix, and the effects of structural parameters of the die forging surface, such as the radius of the cycloid base circle (R), the length of the sizing zone (L), and the radius of the sizing zone (r), are investigated. The orthogonal experimental design L25 results were numerically simulated, and an artificial neural network approach (ANN) was utilized to construct a mathematical prediction model and used to the genetic algorithm (GA) optimization process. The results show that the compromise solution’s optimal structural parameters are R=68.27 mm, L=49.36 mm, r=11.01 mm, εσ andCσ are 0.2113 and 0.02562, respectively. When compared to the original structural scheme, εσ is lowered by 21.83% and Cσ is reduced by 31.58%, indicating that plastic deformation is more uniform and material damage is reduced during the hollow shaft forging process.

• Publisher: Springer Nature B.V
• Subject: Advanced manufacturing technologies / Artificial neural networks / Cycloids / Deformation / Design of experiments / Die forging / Friction / Genetic algorithms / Load / Manufacturing / Mathematical models / Multiple objective analysis / Neural networks / Optimization / Parameters / Plastic deformation / Prediction models / Qualitative research / Radial forging / Sizing / Surface structure / Titanium alloys