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GAIPP - Speed-adaptive isokinetic particle sampling

总结: The isokinetic particle sampling is arranged in the diffuser and can be variably positioned in the longitudinal direction of the flow within the diffuser, the displacement of the sampling and the diffuser relative to one another taking place as a function of the flow velocity. This results in the advantages of covering a very wide, also strongly varying speed range, and of achieving higher data validity at variable flow speeds.

技术优势: Provides better data validity, can be used for varying flow conditions and is suitable for a wide range of flow velocities.

技术应用: Interest in the composition of our atmosphere has increased steadily in recent years. Especially with regard to the presence of environmentally harmful products such as aerosols that are emitted by power plants, industrial complexes or even vehicles. The system presented here, enables the error-free sampling of aerosols in the environment with mobile measuring platforms (e.g. vehicles, aircraft, etc.) as well as process monitoring in the field of process engineering (e.g. air conditioning, etc.) The principle presented here can be used in liquid and gaseous media.

详细技术说明: Isokinetic aerosol sampling is currently only designed and used in very narrow speed ranges. However, known diffusers are only permanently adjustable and designed for a specific flow velocity. The idea behind the new technology is to use a diffuser upstream of the isokinetic particle sampling to reduce the flow velocity of the inflowing medium as the flow cross-sectional area inside the diffuser increases. The isokinetic particle sampling is arranged in the diffuser and can be variably positioned in the longitudinal direction of the flow within the diffuser, the displacement of the sampling and the diffuser relative to one another taking place as a function of the flow velocity. This results in the advantages of covering a very wide, also strongly varying speed range, and of achieving higher data validity at variable flow speeds.

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