What question did this study set out to answer?

The study aims to optimize jaw crusher performance by analyzing tooth profiles and their parameters.

February 2, 2026

Research on simulation of jaw crushing process and design method of tooth shape optimization based on multibody dynamics and discrete element method

GCGaipin CaiJiangxi Provincial People's Hospital MJMinxiang JiangJiangxi University of Science and Technology FZFugui ZhangUniversity of Electronic Science and Technology of China

Key Points

The study aims to optimize jaw crusher performance by analyzing tooth profiles and their parameters.
Developed a discrete element method analysis model focused on tungsten ore crushing.
Explored impacts of tooth distance, height difference, and base width through MBD-DEM co-simulation.
Utilized response surface methodology for performance prediction.
Conducted multi-objective optimization via Design-Expert software based on productivity and other goals.
Optimized parameters included tooth distance, height difference, and base width with specific measurements.
Productivity increased by 11.3% post-optimization.
Crushing force was significantly reduced.
Improved uniformity in the size of crushed particles.

Abstract

To study and optimize the jaw crusher performance and tooth profile parameters, Taking the process of crushing tungsten ores by the jaw crusher as the speciﬁc analysis object in this paper, comparing the advantages and disadvantages of ordinary parallel tooth and high and low teeth. First, the discrete element method (DEM) analysis model of the tungsten ore based on the Tavares model is established. On this basis, the impacts of the tooth distance, the tooth height difference, and the tooth base width on the jaw crusher performance are explored by the method of combination of MBD-DEM co-simulation and response surface methodology (RSM), and the performance prediction model of jaw crusher is obtained. Finally, taking productivity as the main optimization goal and crushing force and discharge granularity as the auxiliary optimization goal, multi-objective optimization is carried out through Design-Expert software, and the corresponding optimized values are 37.5, 7.5, and 19 mm. The feasibility of the optimization results is veriﬁed, the productivity can be increased by 11.3%, the crushing force is significantly reduced and the uniformity of the crushed particle size is improved.

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