Evaporation and Settling Behavior of Metalworking Fluid Aerosols

Sun, J.; Ju, C.; Michalek, Donna J.; Sutherland, John W.

doi:10.1080/02726350902921988

Cited by 3 publications

(1 citation statement)

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“…He assumed that the particles were only affected by gravity and drag force to calculate the free sedimentation velocity of the particles, and finally established the prediction model for the concentration of oil particles inside the machine tool. Sun et al 31 further studied the evaporation model of the emulsion, considering the influence of the water content of the emulsion on the size distribution of oil particles. Lefebvre, 32 Ashgriz and Nasser 33 summarized and sorted out the existing atomization theory.…”

Section: Introductionmentioning

confidence: 99%

A prediction model of emission characteristics of oil particles induced by milling process: Emission rate and size distribution

Wang

et al. 2022

Indoor and Built Environment

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The use of metalworking fluids (MWFs) in the milling process can cause emissions of a large amount of oil particles, which can induce respiratory and immune system diseases of workers. This work examined the emission characteristics of oil particles caused by the milling process. A closed test chamber containing a real milling machine was built. The emission rates of oil particles in various sizes using five kinds of MWFs were measured, and the influence of the rotation speed of the spindle in the milling machine and the physical properties of MWFs on the oil particle emission characteristics was analysed. In addition, a prediction model of emission rate and size distribution of oil particles was introduced. Based on the measured data of oil particle emission rates in each size, the morphological particle size, distribution index and atomization coefficient in the prediction model are fitted. The deviation between the predicted and measured values of the emission rates is about 5%, which confirms the accuracy of the model. The prediction model is helpful for pollution control and ventilation strategy formulation in typical machining plants.

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Section: Introductionmentioning

confidence: 99%