Steady-state Thermodynamic Analysis Model of Dissimilar Friction Welding Based on the Maximum Entropy Generation Principle
Author of the article: JIANG Fangyuan1,2, ZHANG Da1,2, CAO Hanmo1,2, XIONG Jiangtao1,2, GUO Wei1,2, LI Jinglong1,2
Author's Workplace:1. State Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi'an 710072, China; 2. Shaanxi Key Laboratory of Friction Welding Technologies, Northwestern Polytechnical University, Xi'an 710072, China
Key Words:rotary friction welding; analytical modelling; severe plastic deformation; dissimilar material
Abstract:
Dissimilar material welding has gradually become the focus of industrial applications, and the selection principle
of dissimilar welding process parameters has been increasingly considered; thus, providing an accurate and reliable welding
parameter selection principle is more important. On the basis of the Onsager-Ziegler maximum entropy generation principle
(OZ-MEPP) and related dynamics principles, a steady-state one-dimensional maximum entropy generation analytical model
for dissimilar friction welding is constructed, which reveals the distribution of the temperature during severe plastic
deformation. The effect of metal extrusion along the flash is further introduced to extend the model to a steady-state
two-dimensional model, and a steady-state two-dimensional maximum entropy generation analytical model is established by
combining it with the constitutive equation of metal plastic flow. Finally, on the basis of the dissimilar interface welding
criterion, a steady-state thermal collocation analytical model of dissimilar rotary friction welding (RFW) is constructed. The
model does not need to preset the response parameters and can effectively predict the welding temperature, axial shortening
rate and viscoplastic zone width after the experimental verification of the RFW of dissimilar collocation. The trend of the
calculations is similar to that of the experiments, and the relative errors are within 10%, which indicates good accuracy and
reliability.