Category: FINNED TUBES

Are you using Xchanger Suite to model finned-tube bundles? This webinar provides an overview of finned tubes and the various types of finned tubes that Xchanger Suite models. In addition to guidance on when to select each type, the session highlights important, high-level mechanical design aspects of finned tubes....
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This webinar reviews HTRI and literature boiling data outside low-finned tubes, compares HTRI flow boiling data across plan and low-finned tube bundles, examines and evaluates HTRI’s current boiling model, and describe a more simple and more accurate boiling model....
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This webinar reviews measurement of mixed convection heat transfer using liquids in crossflow over ideal horizontal plain and low-finned tube banks. We identify when natural convection may enhance or penalize crossflow heat transfer and recommend new calculations to improve HTRI software predictions....
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HTRI continues to improve its single-phase crossflow methods. We have completed a thorough review of heat transfer and pressure drop correlations for single-phase flow outside banks of plain- and low-finned tubes. This webinar highlights some of our findings and summarizes the performance of the improvements we are proposing for our correlations....
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Component: Xace, Xist Applicable to: Version 7.3 and previous Date posted: 22 May 2012 Last updated: 7 September 2017 Externally finned tube bundles can be specified for applications where the outside heat transfer coefficient is less than the inside coefficient. Using inline low-finned tubes in 90-degree layouts allows for cleaning by mechanical means....
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When increasing longitudinal pitch, methods for both pressure drop and heat transfer predictions for inline and staggered high-finned tube bundles are evaluated. When we compare the behavior simulated through computational fluid dynamics (CFD) to results from Xace and ESCOA for a characteristic tube geometry, the CFD results show that the effect...
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Using CFD simulations of laminar flow in an offset-strip fin geometry validated with experimental data, we have confirmed that the Colburn j-factor can be substantially overpredicted for fluids whose Prandtl number is significantly greater than that of air. In addition, we determined that the j-factor varies inversely with a Prandtl number...
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