Random Dynamic Analysis of Ring Die Pellet Mill

Abstract

Ring die pellet mills are widely applied in feed and biomass fuel. Particles are formed by rotating ring die, so torsional vibration is essential. Because the material has randomness in the extrusion process, the torsional vibration of ring die pellet mills is random, which affects the life, stability, and reliability. Using Lagrange equations and the lump-mass method, the torsional dynamic model of the ring die pellet mill is established. Based on the stochastic volatility model, the extrusion force is created. The dynamic equation of the ring die pellet mill is solved using the Runge-Kutta integration method, and the results show that the torsional vibration is related to the extrusion force, rotational speed, errors in installation, and fabrication. The torsional vibration and the torque of the ring die have similar changes in trend. The error affects the torsional vibration when it reaches a certain level.

Reliability Analysis of Ring Mold Granulator based on Minimum Maintenance Model

“…Louit et al [8] proposed a model selection framework to represent the failure process of components or systems based on the review of available trend testing, with the purpose of using statistical distribution to represent the difference between the failure time and the process using random points. Liu et al [9] adopted the Lagrange equation and block mass method to establish the torsion dynamics model of ring mold granulators. Based on the random vibration model, the extrusion model was established.…”