Project number
16031
Organization
Honeywell Aerospace
Academic year
2016-2017
Exposure to elevated levels of ultrafine airborne particulates may result in severe health effects, such as asthma. This establishes a need for a standalone air-quality detector that provides early warning of high concentrations of ultrafine particles in the air conditioning systems of buildings, public transportation, and aircraft.
The objective of this project is to design a low-cost ultrafine particle detector that senses air particulates with a diameter of 10-200 nanometers at a concentration of 10,000-500,000 particles per cubic centimeter with greater than 80 percent accuracy. The detector designed consists of a 3-D printed body, blue LED, photodiode sensor, aspheric lenses, carbon filter, and a Raspberry Pi microcontroller. 3-D software such as SolidWorks and FRED was used to run simulations and model the optical geometry of the detector.
The designed detector is smaller, lighter and more affordable than currently available ultrafine particle detectors, and can operate continuously while maintaining nanometer-level accuracy.
The objective of this project is to design a low-cost ultrafine particle detector that senses air particulates with a diameter of 10-200 nanometers at a concentration of 10,000-500,000 particles per cubic centimeter with greater than 80 percent accuracy. The detector designed consists of a 3-D printed body, blue LED, photodiode sensor, aspheric lenses, carbon filter, and a Raspberry Pi microcontroller. 3-D software such as SolidWorks and FRED was used to run simulations and model the optical geometry of the detector.
The designed detector is smaller, lighter and more affordable than currently available ultrafine particle detectors, and can operate continuously while maintaining nanometer-level accuracy.