TY - JOUR
AU - Liu, Jiuqing
AB - High-precision noise radiation characterization is essential for designing circular saw blades aimed at vibration and noise reduction. However, previous studies have generally overlooked the effects of thermal stress, centrifugal force, and cutting force on the acoustic performance of saw blades during the cutting process. This paper proposes a multi-physics field coupling analysis method based on FEM/BEM joint simulation technology. By performing thermal-force coupling analysis to obtain the sawing vibration response, the resulting vibration acceleration is introduced into the acoustic–solid coupling model to predict the frequency-domain characteristics and spatial distribution of sawing noise. The validity of the simulation results is verified through sawing noise test experiments. The study shows that the circular saw blade radiates the most noise when sawing in the mid-frequency band from 500 Hz to 8000 Hz, while the noise radiation efficiency is lower in both the low-frequency band and the high-frequency band. The multi-physical field coupling simulation method can significantly improve the calculation accuracy of the frequency-domain characteristics of sawing noise. The vibration noise of the circular saw blade shows clear directional distribution at different excitation frequencies, while the directionality of the experimentally measured noise is less distinct. Furthermore, based on the noise radiation characteristics, this study explores the design strategies of noise reduction slots and sound barriers, which provide references for the noise control and vibration damping design of circular saw blades.
TI - Multi-Physical Field Coupling Simulation and Experimental Study on the Radiation Characteristics of Sawing Noise from Circular Saw Blades in Woodworking
JF - Forests
DO - 10.3390/f16030442
DA - 2025-02-28
UR - https://www.deepdyve.com/lp/multidisciplinary-digital-publishing-institute/multi-physical-field-coupling-simulation-and-experimental-study-on-the-s0txvdFAuk
SP - 442
VL - 16
IS - 3
DP - DeepDyve
ER -