Abstract

Artificial smokes focusing on macroscopic or fluid properties of smoke have been available for a long time. This paper presents a simple method to generate fully customizable smoke-like atmospheres at microscopic scale (i.e. considering their constituent particles as discrete elements) using a different approach. Synthetic, reproducible media can be generated combining monodisperse microspheres with known geometrical and optical properties conveniently parameterized. The method is presented as a proof-of-concept, highlighting the design decisions along with their implications. Practical issues such as aerosol nebulization, particle carrier selection or the features of the medium chamber where the smoke-like atmosphere is to be tested are analyzed. A comparison between methanol and ethanol as carriers for polystyrene microsphere nebulization is also made. The method could be the seed for the obtention of standard reference media for calibration or standardized characterization of not only smoke detectors and exhaust smoke sensors but also other instruments relying on optical properties of dispersive media (dust in PV panels, public lighting, etc.).

Highlights

  • Accurate description of the behavior of smokes and other smoke-like atmospheres is important for a number of disciplines

  • In certain areas of our planet, for instance, it is important to characterize and predict dust clouds as they may be harmful for both infrastructures and people [4, 5]

  • In that sense, existing commercial solutions that provide with artificial smokes focusing on macroscopic or fluid properties of smoke have been available for a long time

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Summary

Introduction

Accurate description of the behavior of smokes and other smoke-like atmospheres is important for a number of disciplines. In certain areas of our planet, for instance, it is important to characterize and predict dust clouds as they may be harmful for both infrastructures and people [4, 5]. In that sense, existing commercial solutions that provide with artificial smokes focusing on macroscopic or fluid properties of smoke have been available for a long time. They have been used in manifold fields and applications, from the military to firefighting training and to validate CFD (Computational Fluid Dynamics) or conduct real-world scale smoke tests [6, 7]. The same can be said for dust clouds or other particles [8, 9]

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