Nitrogen Gas Generation System
Nitrogen are widely used in all kinds of industries, such as metallurgy, packing, petrochemical, laser cutting, pharmaceutical and etc. Nitrogen parameters are mainly about purity, flow rate and application pressure which vary with different applications.
Stop relying on third-party suppliers for your nitrogen supply. We offer a range of nitrogen generators that help you to generate nitrogen at your own facility to whatever purity level your application requires with your own desire. On-site nitrogen lets you to reduce the waste, control the purity, and have nitrogen gas available at your fingertips 24/7. Our nitrogen generators are available in both PSA and membrane technologies.
PSA nitrogen generator system consists of air compressor, filters, air buffer tank, dryer, nitrogen generator and nitrogen buffer tank. We can offer one-stop purchasing of the whole package,or you are free to get your own air compressor or other partner equipment as you wish.
Just let us know the technical parameters, then we can offer detailed quote tailored for you. We can help you to offer your own nitrogen station.
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Fire pump bearing box heat transfer calculation and temperature control measures
Abstract: To investigate the reasons behind varying heating temperatures in fire pump bearing housings, this study focuses on volumetric losses as a primary factor influencing heat generation within the bearing box. Through numerical heat transfer analysis, it was found that the design and performance of the pump significantly impact thermal behavior. In large fire pumps, bearing housings often exceed 70°C, which can degrade lubricant performance. Even with identical products, temperature differences are observed, and adjusting bearing types or radial clearance does not consistently control the issue. Therefore, identifying and addressing the root causes of temperature variation is essential.
The main cause of overheating was determined through conjugate heat transfer (CHT) simulations, which involve both fluid and solid regions. Heat flows between these regions via conduction and convection. The finite volume method (FVM) is particularly effective for such coupled problems, as it handles both fluid and solid domains efficiently. This paper discusses the application of FVM in analyzing heat transfer in the bearing housing.
Figure 1 shows a computational mesh model that simplifies the system by ignoring oil effects and air density changes. It's an axisymmetric problem, so only a sector is analyzed. Bearings are marked at positions a and b, while the rest represents the housing and shaft. Convective heat transfer is considered at the air-housing and air-shaft interfaces.
Figure 2 presents the simulation results, with warm colors indicating high temperatures and cool colors showing lower ones. Although computers are powerful, real-world engineering problems are complex, and small variations in input parameters can affect accuracy. Boundary condition uncertainties must be carefully considered during analysis.
In the bearing housing, water convection is forced due to volumetric loss, and its heat transfer coefficient depends on pump efficiency. Manufacturing variations lead to uncertainty in this coefficient, which can range from 390 to 1240 W/m²·°C for pumps operating above 76 rpm. Air convection, being natural, is less variable but still influenced by environmental factors. For indoor installations, wind speed changes are minimal, resulting in a relatively stable air convection coefficient between 5 and 25 W/m²·°C.
Water convection has a much greater impact on heat transfer than air convection, making it the dominant factor. As shown in Figure 3, the water convection coefficient has a wider variation range than the air coefficient, significantly affecting maximum bearing housing temperature. A single bearing generating 1000W at 20°C ambient temperature illustrates this effect.
To manage temperatures effectively, volumetric efficiency can be adjusted. If the maximum temperature is to stay below 70°C, the water convection coefficient should not drop below 500 W/m²·°C. Based on this, the pump’s volumetric efficiency and key dimensions should be optimized accordingly.