A MATHEMATICAL MODEL FOR THE PREDICTION OF THE KST FOR METALLIC DUSTS AS A FUNCTION OF THE PARTICLE SIZE DISTRIBUTION

A Mathematical Model for the Prediction of the Kst for Metallic Dusts as a Function of the Particle Size Distribution

For several years, dust explosions have been one of the major causes of industrial accidents, spanning from metalworking to pharmaceuticals sectors.In accordance with the latest Chemical Safety Board (CSB) investigations, three out of four dust explosions in the United States involved metallic dusts (iron, titanium, zirconium and aluminum).Many che

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Pollen source preferences and pollination efficacy of honey bee, Apis mellifera (Apidae: Hymenoptera) on Brassica napus crop

Brassica napus is an insect-pollinated crop species and offers itself as the main nutrient source to many insects that consume floral nectar.This study was carried out to ascertain the pollen preferences of Apis mellifera among the available floral resources.We wanted to identify and quantify all types of pollen collected by honeybee during the flo

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An improved random forest-Monte Carlo method and application for structural reliability analysis of A-type independent liquid tank support structure

ObjectivesIn response to the increasing depth of research and design on liquefied natural gas (LNG) ship structures, higher requirements are put forward for a reliability analysis method that can quickly and accurately evaluate uncertain factors.This paper proposes a method based on an improved random forest-Monte Carlo method (RF-MC) to solve the

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