Xylem Inc. is a large global water technology provider, enabling customers to transport, treat, test and efficiently use water in public utility, residential, commercial, agricultural and industrial settings. The Company does business in more than 150 countries. Launched in 2011 from the spinoff of the water-related businesses of ITT Corporation, Xylem is headquartered in White Plains, N.Y. , with 2010 revenues of $3.2 billion and 12,000 employees worldwide. Wikipedia.
Strongin M.P.,Xylem Inc.
American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM | Year: 2014
In the water transportation applications of the liquid-solid mixture pumping is very common. Among these applications the submersible well pumps, dewatering, drainage, and irrigation could be mentioned. In this work, CFD study of influence of amount of solid phase in the solid-liquid mixture on the pump parameters is presented. Two stages vertical mixed flow pump was modeled. Fluent 14.5.7 commercial code was used for simulations. Mixer multiphase model can be used to model multiphase flows where the phases move at different velocities, but assume local equilibrium over short spatial length scales. Therefore, it was chosen for mixture model. SST k-w model for turbulence was selected. Multi-reference frame approach was used for rotation domains. All mixtures in the presented work have water as their primary phase; the secondary phase is assumed to be a continuum of solid spherical particles of silicon with diameters that range from 0.1 mm to 0.4 mm. The load of the solid particles ranges from 0.5% to 10% of volume fraction of the mixture on the pump inlet. The total number of the mesh cells was 9 million. Calculations of the pump head for mixture and for pure water were done using the same water flow rate. Comparison of the results shows that they are close within ~1% difference. It needs to be emphasized that the pump head is determined by the liquid phase. On the other hand, the efficiency of the pump with high solid phase load was much lower in comparison with the same flow rate of water for pure water case. These results may help in designing pumps for transporting liquid-solid mixture. Copyright © 2014 by ASME. Source
Strongin M.P.,Xylem Inc.
American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM | Year: 2013
The mixing process is very common in many industrial applications. In some cases, two or more liquids or discrete phase (DP) set on the pump inlet. Liquid mixture is often occurred in sanitation and agriculture applications and mixture of water with DP (such as sand) are met in the case of water transportation from natural sources (rivers, wells, etc.). DP distribution in the centrifugal pump is the subject of this study. Full pump geometry is considered, due to unsymmetrical nature of volute of the pump. Turbulence k-ω closure model and Lagrangian discrete phase model has been used for most simulations. It was found that smaller particles trap inside the pump for longer time than larger ones. The distribution of the bigger diameter particles on the outlet is more asymmetrical in comparison with particles of smaller diameter. Relatively large areas with very small particle concentrations can be observed. Particle distribution on the outlet for lighter particles demonstrates more uniformity. Copyright © 2013 by ASME. Source
Strongin M.P.,Xylem Inc.
ASME/JSME/KSME 2015 Joint Fluids Engineering Conference, AJKFluids 2015 | Year: 2015
The pumping of liquids with different viscosity is used in many industrial applications from automotive to food processing. Change of viscosity may have high influence on the pump performance. Therefore, it is important to compare efficiency of the same pump by pumping different liquids with large variety of viscosity through them. In the present work the behavior of flows in the centrifugal pump with viscosity in the range from 10-3 to 1 kg/(m∗s) is studied. The pump model consists of suction, impeller, and discharge parts, which were studied as a single entity. This setup naturally permits analysis of the effects of non-uniformity of velocity. Full geometry was considered due to the absence of symmetry on the volute part of the pump. K-ω SST turbulence closure model was used for these simulations. Commercial code Fluent 15.07 was chosen for Computational Fluid Dynamics (CFD) calculations. Multiple Reference Frame (MRF) model for steady state calculations was selected with the total of 3.4 million cells. Control transient calculations were done with sliding mesh approach. Transient and steady state cases showed a difference in the head within 5%. The results show the drop of the pump head (∼ 4%) and efficiency (∼ 9%) with change the Re number on the inlet from 500,000 to 50,000 or kinematic viscosity from 10-6 to 10-5 m2/s respectively with the same flow rate. Model results show that at Re = 5,000 head dropped by 15% and efficiency by 35% in comparison to the case where Re = 500,000. Moreover, the calculations showed that the blockage effect of large flow for high flow rate (>1.7 BEP) for Re < 5,000 appeared on the volute discharge side. Blockage effect was due to cavitation. CFD simulations of the influence of liquid viscosity on the pump performance can help prepare practical recommendations for designers. Copyright © 2015 by ASME. Source
Decker P.,Xylem Inc.
World Pumps | Year: 2016
Patrick Decker was appointed to head up water technology specialist Xylem nearly two years ago. In this time he's increased investment in R&D and actively listened to his employees to increase engagement. Here, he discusses the changes he has implemented with World Pumps. © 2016 Elsevier Ltd. Source
Xylem Inc. | Date: 2014-07-18
Water purification installations and parts therefor; Waste water purification units; Water purification and filtration apparatus; Water treatment equipment, namely, water filtration units and ozone sanitizers; Ozone generators for water purification installations; Water treatment systems comprised of biologically active filtration apparatus, ozone water treatment units, metal and non-metal tanks and pipe, pumps, mixers, air diffusers, filter media, and automated process control systems, namely, electronic sensors and micro-processor based hardware and software used to monitor and control water treatment systems, sold as a unit, and parts therefor.