TY - GEN
T1 - Research on the Acoustic Emission Mechanism of Superfluous Metallic Contaminants in Slurry Preparation Process Based on DEM
AU - Cui, Donggang
AU - Gao, Xuan
AU - Li, Xuefei
AU - Tian, Li
AU - Zhang, Qing
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - In order to elucidate the mechanism by which superfluous metallic contaminants enter and evolve within the slurry preparation process, discrete element method (DEM) simulations are performed to characterize the coupled flow, particle motion, and acoustic fields in a slurry preparation device. The device-scale velocity and pressure distributions are first obtained, and a particle-tracking strategy is then adopted to quantify the trajectories and kinematic features of metallic contaminants entrained into the flow. A monopole point-source acoustic model is subsequently constructed for the purpose of examining the propagation pathways of acoustic emission signals and the spatial distribution of sound pressure within the device. The experimental tests were conducted to validate the numerical predictions. The results demonstrate that high-velocity regions are predominantly concentrated around the impeller blades and within the narrow gaps between the blades and the casing. Furthermore, high-viscosity slurries exhibit more pronounced velocity localization near the blade surfaces. Upon entering the flow field, metallic contaminants rapidly decelerate and repeatedly collide with the device, generating continuous acoustic emission signals along with serrated trajectories. The findings, when considered collectively, provide mechanistic evidence that supports the use of acoustic emission signal-based detection of metallic contaminants during slurry preparation.
AB - In order to elucidate the mechanism by which superfluous metallic contaminants enter and evolve within the slurry preparation process, discrete element method (DEM) simulations are performed to characterize the coupled flow, particle motion, and acoustic fields in a slurry preparation device. The device-scale velocity and pressure distributions are first obtained, and a particle-tracking strategy is then adopted to quantify the trajectories and kinematic features of metallic contaminants entrained into the flow. A monopole point-source acoustic model is subsequently constructed for the purpose of examining the propagation pathways of acoustic emission signals and the spatial distribution of sound pressure within the device. The experimental tests were conducted to validate the numerical predictions. The results demonstrate that high-velocity regions are predominantly concentrated around the impeller blades and within the narrow gaps between the blades and the casing. Furthermore, high-viscosity slurries exhibit more pronounced velocity localization near the blade surfaces. Upon entering the flow field, metallic contaminants rapidly decelerate and repeatedly collide with the device, generating continuous acoustic emission signals along with serrated trajectories. The findings, when considered collectively, provide mechanistic evidence that supports the use of acoustic emission signal-based detection of metallic contaminants during slurry preparation.
KW - acoustic emission signal
KW - contaminants detection
KW - slurry preparation
KW - superfluous metallic contaminants
UR - https://www.scopus.com/pages/publications/105042261494
U2 - 10.1109/ICSI70302.2026.11544881
DO - 10.1109/ICSI70302.2026.11544881
M3 - 会议稿件
AN - SCOPUS:105042261494
T3 - 2026 6th International Conference on Sensors and Information Technology, ICSI 2026
SP - 15
EP - 23
BT - 2026 6th International Conference on Sensors and Information Technology, ICSI 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Sensors and Information Technology, ICSI 2026
Y2 - 24 April 2026 through 26 April 2026
ER -