کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7156820 1462688 2015 61 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Large eddy simulation of a piston-cylinder assembly: The sensitivity of the in-cylinder flow field for residual intake and in-cylinder velocity structures
ترجمه فارسی عنوان
شبیه سازی بزرگ چرخ دنده یک پیستون سیلندر مونتاژ: حساسیت جریان داخل سیلندر برای جذب باقی مانده و ساختار سرعت سیلندر
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی
Large eddy simulation (LES) in an axisymmetric piston-cylinder geometry was carried out using three LES approaches: (1) Smagorinsky subgrid scale model, (2) implicit LES, and (3) scale selective discretisation (SSD). In addition to the LES subgrid scale model sensitivity study, two additional simulations were carried out in order to understand the roles of the intake and the in-cylinder residual turbulence to the flow statistics. Altogether 12 cycles were computed for each simulation on a grid with 5 million cells and requiring over a month of wall-clock time per simulation on a supercomputer. Analysis of velocity statistics revealed that the results were not very sensitive to the LES model type. However, the residual turbulence was noted to have a clear impact on the velocity statistics. In particular, the simulations revealed that removing the residual turbulence from the intake region at the top-dead-centre has a clear impact on the overall velocity statistics. In many cases the cycle-to-cycle variation (CCV) increased. In a respective numerical test, where only the in-cylinder turbulence was removed at top-dead-centre, weaker sensitivity was observed. In addition, the CCV relative to the mean velocity was in some cases as high as 30% even in such a non-reactive case. The present study complements previous studies on the same set-up by investigating the sensitivity of three LES models on flow statistics, quantifying CCV using three different LES approaches in the standard set-up, and assessing the role of residual turbulence on the flow statistics via modified flow cases.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Fluids - Volume 122, 20 November 2015, Pages 123-135
نویسندگان
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