Department of Macromolecular Science and Engineering, Graduate School of Science & Technology, Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto 606-8585, Japan.
Department of Macromolecular Science and Engineering, Graduate School of Science & Technology, Kyoto Institute of Technology, Matsugasaki, Sakyo-ku, Kyoto 606-8585, Japan.
Ultrasonics. 2019 Nov;99:105974. doi: 10.1016/j.ultras.2019.105974. Epub 2019 Aug 9.
The size distribution and mechanical properties of microparticle dispersed in liquid can be characterized by ultrasonic spectroscopy with the aid of acoustic scattering theories. In order to carry out the accurate analysis of the particles, the basic properties, such as the density, viscosity, longitudinal and shear velocities and intrinsic attenuation coefficient of the particle must be known prior to the analysis. Particularly, for soft elastomers or rubbers which exhibit complex mechanical properties with comparable real and imaginary parts, such fundamental information should be provided prior to the particle analysis to minimize the uncertainty of estimation associated with the number of adjustable parameters. In this study, we examined the acoustical properties of poly(methyl methacrylate)(PMMA) and cross-linked poly(dimethyl siloxane) sheets having different cross-linker concentrations by Multiple-Echo Reflection Ultrasonic Spectroscopy which simultaneously enabled us to acquire 4 fundamental properties, the ultrasound attenuation coefficient, phase velocity, density, and thickness (MERUS4 for solid plate). In addition, it was confirmed that the acoustic spectra of PMMA particles dispersed in water were reproduced well with the physical properties determined by MERUS4 using the PMMA plates.
借助声散射理论，超声光谱可用于表征分散在液体中的微粒的粒径分布和力学性能。为了对颗粒进行准确的分析，在分析之前必须了解颗粒的基本特性，如密度、粘度、纵波和横波速度以及固有衰减系数。特别是对于具有可比拟实部和虚部的复杂力学性能的软弹性体或橡胶，在进行颗粒分析之前，应该提供这些基本信息，以最大程度地降低与可调参数数量相关的估计不确定性。在这项研究中，我们通过多回波反射超声光谱法（MERUS4）研究了具有不同交联剂浓度的聚甲基丙烯酸甲酯（PMMA）和交联聚二甲基硅氧烷片的声特性，该方法同时可以获得 4 种基本特性，包括超声衰减系数、相速度、密度和厚度（MERUS4 用于固体板）。此外，通过使用 PMMA 板确定的物理特性，证实了分散在水中的 PMMA 颗粒的声谱可以很好地再现。
