一种基于颗粒堆积理论的球磨机研磨介质级配仿真方法
By using discrete element numerical simulation based on particle packing theory, the steel ball gradation in the ball mill was optimized, solving the problem of neglected interaction effects in existing technologies and achieving more efficient and deterministic grinding effect optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEFEI CEMENT RESEARCH AND DESIGN INSTITUTE CO LTD
- Filing Date
- 2023-10-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies neglect the influence of the interaction between steel balls and material particles in ball mills, resulting in limited and unstable optimization effects. Furthermore, the optimization process relies on experimental verification, which is time-consuming, resource-intensive, and yields uncertain results.
The discrete element numerical simulation method based on particle packing theory is adopted. By establishing the geometric model of the ball mill and the discrete element numerical simulation model, the steel balls and material particles are modeled and simulated, and the steel ball gradation is optimized to improve the grinding effect.
This method enables precise optimization of the steel ball gradation within the ball mill, improving the certainty and efficiency of the grinding effect while reducing the time and resource consumption for experimental verification.
Smart Images
Figure CN117421835B_ABST