Research on Effect of Particle Size and Sintering Parameters on Porous Transducer

Ruoyu Guo, Meiling Wang, Li Ming, Siyuan Cheng, K. Ning
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引用次数: 1

Abstract

The paper is focused on combining Potts Kinetic Monte Carlo method (KMCM) with Discrete Element method (DEM) to analyze the porous transducer sintered by glass microspheres. Effects of parameters including particle size distribution (PSD), mean particle size and sintering temperature, are studied by analyzing relative density and permeability of the porous transducer reconstructed based on its production process. Simulation results show that porous transducer made from glass microspheres with larger mean particle size and narrower PSD performs larger permeability. Meanwhile, higher sintering temperature can speed up the densification rate during sintering process. The above results can be applied to guide the fabrication process of porous transducer.
粒度和烧结参数对多孔换能器性能影响的研究
本文将波茨动力学蒙特卡罗法(KMCM)与离散元法(DEM)相结合,对玻璃微球烧结多孔换能器进行了分析。通过对多孔换能器的相对密度和渗透率进行分析,研究了粒径分布、平均粒径和烧结温度等参数对多孔换能器性能的影响。仿真结果表明,由平均粒径较大、PSD较窄的玻璃微球制成的多孔换能器具有较大的渗透率。同时,较高的烧结温度可以加快烧结过程中的致密化速度。上述结果可用于指导多孔换能器的制作工艺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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