本文介绍了一个数据集,该数据集包含微塑料在人造海水(AS)中的沉降动力学以及在海水中的聚合物分散体中的沉降动力学测量值:黄原胶,卡帕角叉菜胶,以及它们在两种浓度下的混合物:0.5g/L和1g/L塑料颗粒分为15组,代表各种形状:圆盘,棒,刀片,球体,和材料:PS,POM,PET,PA6.使用阴影法可视化沉降罐中单个颗粒的下沉,并使用带有微距镜头的相机记录图像。接下来,粒子跟踪测速法用于检索MP的时间分辨位置及其方向,并计算瞬时下沉速度。使用流变仪测量溶液的非牛顿性质。剪切依赖性粘度,剪切应力振幅扫描,第一个正常应力差,和胶凝时间进行了评估。数据集可以在一系列科学和工程领域找到应用,包括流体力学,化学工程,食品工程,石油工业,废水处理,流变学,和环境流体动力学,例如,在复杂流体中的粒子动力学研究中,水系统中微塑料命运的建模,并建立复杂液体中固体颗粒流体动力学的数值模型。
This paper presents a dataset comprising measurements of the sinking dynamics of microplastics settling in artificial seawater (AS) and in dispersions of polymers in seawater: xanthan gum, kappa-carrageenan, and their mixtures in two concentrations: 0.5 g/L and 1 g/L. Plastic particles are classified into fifteen groups representing various shapes: disks, rods, blades, spheres, and materials: PS, POM, PET, PA6. The sinking of individual particles in a settling tank was visualized using the shadowgraph method and images were recorded using a camera with macro lenses. Next, Particle Tracking Velocimetry was applied to retrieve the time-resolved position of MPs and their orientation and to calculate instantaneous sinking velocity. Non-Newtonian properties of solutions were measured using a rheometer. Shear-dependent viscosity, shear stress amplitude sweeps, the first normal stress difference, and gelling time were assessed. Datasets may find application in a range of scientific and engineering areas including fluid mechanics, chemical engineering, food engineering, petroleum industry, wastewater treatment, rheology, and environmental hydrodynamics, e.g. in research on particle dynamics in complex fluids, modeling of microplastics fate in aqueous systems, and to develop numerical models on the hydrodynamics of solid particles in complex liquids.