Study on the factors influencing the performance of dust collection hood of angle grinder based on CFD-DEM simulation

Chen, Jihe; Shi, Xunxian; Liu, Shuo; Jiang, Zhongan; Wang, Ming

doi:10.1016/j.apt.2024.104346

Cited by 1 publication

(1 citation statement)

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“…This has contributed to the fact that, in various scientific and engineering fields (such as colloidal chemistry and nano-materials, control and optimisation of the production of drugs, raw materials, food, and other products) there is a need for a fast and accurate method for the characterisation of particles. According to WHO statistics, approximately 2 million people die annually due to the presence of particulate matter in the workplace, with the majority of deaths caused by respiratory diseases [40,41]. Professional exposure to particles generated during material processing, particularly grinding processes, is one of the largest sources of particulate matter exposure for workers and must be monitored and characterised adequately [42][43][44].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Geometric Characteristics of Inhalable Particles Emitted from the Process of Grinding Dental Restorations

Ilic Micunovic,

Budak,

Vukelic

et al. 2024

Applied Sciences

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The study concerns measurement and evaluation of the geometric characteristics of the inhalable fraction of particulate matter generated in the process of grinding dental restorations, which is a process that generates a large quantity of particulates. The research is based on measurements taken with a personal sampler, whereby the characteristics of particulates are determined based on the particle mass collected on filters. The collected filters were examined using scanning electron microscopy (SEM), and the resulting micrographs were processed through image analysis. The complex geometry of particles was examined through the analysis of 14 parameters, of which 6 define size and 8 describe morphological characteristics. Two software programs were used for the image analysis process to gather a wide range of parameters describing particle geometry. The relationship and dependence between the geometric parameters used to describe particle shape and size were investigated using multivariate analysis methods. Through correlation analysis, principal component analysis, and cluster analysis, parameter selection and reduction were performed to provide an understanding of the particles inhaled by exposed workers, which also influences the biological response of exposed organisms and the burden on the working environment.

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