Eliminate ancillary equipment and reduce chemical waste
Qdos 30 pumps make their debut at ACHEMA 2012
Watson Marlow Pumps Group’s Qdos 30 pumps made their debut today (19 June) at Achema 2012 in Frankfurt, Germany.
The Qdos 30 eliminates ancillary equipment, enhances productivity and reduces chemical waste through more accurate, linear, and repeatable metering compared with typical solenoid or stepper driven diaphragm metering pumps, the firm says.
The Qdos 30 delivers a 5,000:1 flow range from 0.1–500ml/min and 7 bar while integrating easily through IP66 manual, analogue, and Profibus control options. Featuring patented ReNu pumphead technology, Qdos 30 is fully sealed for safe, tool-free maintenance.
Fluids that are caustic, abrasive, viscous, shear-sensitive, gaseous, are slurries or contain suspended solids, can be safely and securely handled. Advanced control features include fluid level monitoring, fluid recovery, line priming and intuitive flow calibration.
Watson-Marlow’s ReNu pumphead technology allows quick and easy pumphead removal and replacement minimises process downtime and requires no specialist tools, training or technicians.
The pumphead can be configured on the left or right, making it suitable for installation in restricted environments or on skids, while its sealed design and fluid recovery eliminate wastage and ensures operator safety. Operation is intuitive via a menu-driven interface with a 3.5in TFT colour display, providing high-visibility status indication. The keypad and display are positioned for easy access, along with input and output connections.
The premium model in the new range is the Qdos 30 Universal+. There are a further four variants.
The pumps can be used in the disinfection and pH adjustment of drinking water and industrial process water; flocculation; industrial cooling water preparation; and reagent dosing in mineral processing.
Customers can select the pump that meets their precise application requirements. Maintenance intervals are up to six months at typical usage, reducing the impact of process downtime.