Research and experimental verification of lightweight loader rims

Area of Science:

• Mechanical Engineering
• Materials Science
• Automotive Engineering

Background:

• Loader rims are critical load-bearing components affecting machine performance, stability, and braking.
• Industry focus is on developing lightweight, high-strength rims for enhanced fuel efficiency and sustainability.
• Reducing rim weight aligns with global energy conservation and emission reduction goals.

Purpose of the Study:

• To perform multiobjective optimization analysis on loader rims made from three distinct materials.
• To establish relationships between optimization and target parameters using response surface methodology.
• To identify an optimal rim design balancing performance, weight, and production cost.

Main Methods:

• Multiobjective genetic algorithms were employed to generate optimization plans.
• Response surface methodology was used to model parameter relationships.
• Static, fatigue, and weight loss analyses were conducted, followed by field tests for validation.

Main Results:

• Established quantitative relationships between rim design parameters and performance metrics.
• Identified optimized rim designs through simulation and analysis.
• Validated simulation results and confirmed the safety and reliability of optimized rims via field testing.

Conclusions:

• The study successfully optimized loader rims for enhanced safety, stiffness, and reduced weight.
• Multiobjective optimization and finite element analysis provide a reliable framework for rim design.
• Optimized rims contribute to improved machinery performance, fuel efficiency, and environmental sustainability.