Research on Multi-Objective Optimization Design of Automatic Loading and Unloading Mixer Truck Frame Based on Kriging Model

With the rapid development of new rural construction in China, the usage of automatic loading and unloading concrete mixer trucks has been increasing. However, the substantial weight of mixer truck frames negatively impacts manufacturing costs and fuel efficiency. Through a comprehensive analysis of the structural forces on the frame of an automatic loading and unloading concrete mixer truck under four typical working conditions, a multi-objective optimization approach based on the Kriging model is proposed. This approach has been employed to optimize the mixer truck frame, resulting in a weight reduction of 78.4 kg. Validation of the optimized frame's performance was conducted through modal analysis and field testing. The study demonstrates that the integration of surrogate modeling and multi-objective optimization algorithms not only enhances optimization accuracy and efficiency but also ensures that the optimized frame meets usage requirements while achieving a substantial weight reduction. The research accomplishes the dual goals of lightweight design and energy conservation within the context of new rural construction.