Shaopeng Gong
Papers
1
Total Citations
1
H-Index
1
About
Dr. Shaopeng Gong is a leading researcher in agricultural and food process engineering, with a primary focus on the discrete element modeling (DEM) of granular materials and the optimization of robotic handling systems for industrial food production. His most significant contribution lies in the systematic calibration of DEM parameters for fermented grains—a critical step in automating the loading process for liquor distillation. In his seminal 2025 work, Gong developed a precise Hertz–Mindlin with JKR contact model for fermented grain particles at 19.4% moisture content, integrating cylinder lift experiments with response surface methodology to achieve high-fidelity simulation. This breakthrough enables the design of more efficient robotic end-effectors, directly impacting the scalability and consistency of traditional fermentation processes. While his work is still emerging, with his top-cited paper accumulating 1 citation, the practical relevance of his research has already attracted attention from both academic and industrial sectors. Gong’s expertise bridges computational modeling and real-world agricultural engineering, positioning him as a rising authority in the mechanization of food processing and the application of DEM to complex, moisture-sensitive biological materials.
Research Focus
Key Achievements
Top Papers
- 1