Endress+Hauser prosonic flow 92 Technical Information page 3

Prosonic Flow 92
Endress+Hauser
Sensor arrangement Prosonic Flow W/U
The Prosonic Flow W sensors offer a choice between 1, 2 and 4 traverses and the Prosonic Flow
U sensors 2 traverses. Please note that the more reflection points there are in the pipe, the more
the signal strength decreases. (Example: 2 traverses = 1 reflection point, etc.)
Prosonic Flow W: 1 = 1 traverse, 2 = 2 traverses, 4 = 4 traverses
Prosonic Flow U: 2 = 2 traverses
Therefore, to maintain good signal quality, you should choose as few traverses as necessary to
achieve a sufficient transit time difference.
Recommendations:
To obtain optimum signal strength and the highest level of accuracy, we recommend the following:
• DN 15...50 → 2 traverses
• DN 50...60 → 2/4 traverses
• DN 80...600 → 2 traverses
• DN 650...4000 → 1 traverse
Sensor selection
Prosonic Flow U sensor type: DN 15...100
Prosonic Flow W sensor types (two versions): DN 50...300 and DN 100...4000.
• Both sensor types can be used in the DN 100...300 range.
• The W sensor type DN 50...300 should be used for a wall thickness < 4 mm and sensor type
DN 100...4000 for a wall thickness > 4 mm.
Commissioning accessories
During mounting and commissioning, in order to determine the sensor distance, you require data
on the measurement liquid, the pipe material used and the exact pipe dimensions. Data on the
most common liquids, pipe materials and lining materials are programmed into the
Prosonic Flow 92 program.
For liquids:
WATER – SEA WATER – DISTILLED WATER – AMMONIA – ALCOHOL – BENZENE – BROMIDE –
ETHANOL – GLYCOL – KEROSENE – MILK – METHANOL – TOLUOL – LUBRICATING OIL – FUEL
OIL – PETROL
For pipe materials:
CARBON STEEL – STAINLESS STEEL – CAST IRON – COPPER – PVC – ALUMINIUM – DUCTILE
IRON – ASBESTOS CEMENT – GRP – PEEK – PVDF – ACRYLIC GLASS
Liner material:
TAR EPOXY – MORTAR – RUBBER – TEFLON – GLASS PYREX – PVC
If your pipe material or liquid is not included in the pre-programmed selection of the transmitter
establish the missing data from the technical literature.
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