Abstract
The safety performance and structural stiffness of a rim, which is the main load-bearing structure of the loader during operation, influence the overall performance, stability, and braking capabilities of the machine. In the industry, researchers are currently pursuing lightweight and high-strength rims as a primary objective. A low weight not only enhances machinery fuel efficiency but also aligns with societal demands for sustainable development, energy conservation, and emission reduction. In this article, multiobjective optimization analysis on rims composed of three different materials is performed, and the relationships between various optimization parameters and target parameters are established using the results of response surface construction. Multiobjective genetic algorithms are utilized to derive various optimization plans, which are subsequently evaluated through static analysis, fatigue analysis, and weight loss analysis. The final optimization plan is determined based on the calculation results while considering production costs. Field tests are conducted on the optimized rims under various working conditions to verify the test results, evaluate the reliability of the finite element analysis results, and confirm the safety of the optimized rim.
| Original language | English |
|---|---|
| Article number | 11769 |
| Pages (from-to) | 1-27 |
| Number of pages | 27 |
| Journal | Scientific Reports |
| Volume | 14 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 23 May 2024 |
Keywords
- Construction machinery
- Response surface construction
- Multiobjective optimization
- Lightweight rims
- Fatigue analysis
