Determining an efficient numerical solution method for pressure loss problem in bends
محل انتشار: مجله علم مهندسی خودرو، دوره: 10، شماره: 2
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 177
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شناسه ملی سند علمی:
JR_IJAEIU-10-2_001
تاریخ نمایه سازی: 4 دی 1402
چکیده مقاله:
Intake and exhaust manifolds are among the most important parts in engine in which pressure loss phenomena has direct impact on with changing volumetric efficiency. In typical ۱D simulation codes, the quantity of pressure loss is proportional to the fluid’s mean velocity by Pressure Loss Coefficient (Kp) value. This important coefficient which has substantial rule in engine simulation is usually determined using constant available values, extracted from complicated experiments (like Miller’s tests) in a specified situation. But these values are credible only in situations according to those tests. Coupling ۳D simulations with ۱D codes is a common method to gain accurate values of these coefficients but this deals with drastic high simulation costs. To address this problem, a more efficient way is replacing an algebraic relation, extracted from ۳D calculations, instead of a constant value in ۱D code. It’s obvious that in order to reach accurate coefficients in arbitrary conditions (geometric and flow specifications) determining the best numerical method is mandatory. In present research, after investigating all ۳D simulation aspects, six different selected numerical solutions have been implemented on four different bends in ANSYS Fluent.Results have been validated by comparing loss coefficient values of incompressible fluid (water) with Miller loss coefficient values and method with the most accurate and stable results has been discovered. It was found that all these methods are suitable in general (with less than ۵% error in coefficient values) but solutions with structured grid and SST k-ω turbulence modeling represented better stability and accuracy.
کلیدواژه ها:
نویسندگان
Amirhasan Kakaee
School of Automotive Engineering, Iran University of Science and Technology,
Milad Mahjoorghani
School of Automotive Engineering, Iran University of Science and Technology,
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