首页> 外文会议>Asia-Pacific Automotive Engineering Conference >0D/1D Turbulent Combustion Model Assessment from an Ultra-Lean Spark Ignition Engine
【24h】

0D/1D Turbulent Combustion Model Assessment from an Ultra-Lean Spark Ignition Engine

机译:超瘦火花点火发动机的0D / 1D湍流燃烧模型评估

获取原文

摘要

This paper focuses on an assessment of predictive combustion model using a 0D/1D simulation tool under high load, different excess air ratio λ, and different combustion stabilities (based on coefficient of variation of indicated mean effective pressure COV_(imep)). To consider that, crank angle resolved data of experimental pressure of 500 cycles are recorded under engine speed 1000 RPM and 2000 RPM, wide-open throttle, and λ=1.0, 1.42, 1.7, and 2.0. Firstly, model calibration is conducted using 18 cases at 2000 RPM using 500 cycle-averaged in-cylinder pressure to find optimized model constants. Then, the model constants are unchanged for other cases. Next, different cycle-averaged pressure data are used as inputs in the simulation based on the COV_(imep) for studying sensitivity of the turbulent model constants. The simulation is conducted using 1D simulation software GT-Power. Firstly, a three-pressure analysis (TPA) model (intake, in-cylinder, exhaust) for experimental prediction and optimization of burn rate shape are studied. Boundary conditions such as the three pressure histories, intake/exhaust valves timings, boundary temperatures, and exhaust gas emissions are used as model inputs. Errors of indicated thermal efficiency, indicated mean effective pressure, and CA50 are within 3%. Predicted parameters from the TPA model such as air volumetric efficiency, trapped air/fuel vapor mass, trapped residual gas fraction, tumble, and surface temperature of the piston, head, and valves are used as initializations in the predictive combustion model. A built-in flame propagation model, termed as SITurb, is investigated whether it can replicate the in-cylinder pressure and burn rate shapes. A revised laminar flame speed correlation of five-component gasoline surrogate is incorporated in the combustion model via an encrypted dynamic link library file. The results show that thermodynamic histories of the combustion are reproducible under high load and stoichiometric-to-ultra-lean conditions. Under all cases, only turbulent flame speed multiplier needs to be calibrated.
机译:本文重点研究使用高负载时,不同的空气过剩率λ,和不同的燃烧稳定性下0D / 1D模拟工具预测燃烧模型进行评估(基于指示平均有效压力COV_(IMEP)的变异系数)。考虑的是,曲柄角分辨500个循环的发动机转速下被记录1000和2000RPM,节气门全开的实验压力的数据,和λ= 1.0,1.42,1.7和2.0。首先,模型校准是使用18箱子在2000RPM 500使用周期平均缸内压力找到优化模型常数进行的。然后,模型常数是其他情况不变。接着,不同循环平均压力的数据,作为基于所述COV_(IMEP)的模拟用于研究湍流模型常数的灵敏度输入。仿真是使用一维仿真软件GT-电源进行。首先,一个三压力分析(TPA)模型(进气,在缸,排气)实验预测和燃烧速率形状的优化进行了研究。边界条件,例如三个压力历史,进气/排气门正时,边界温度和废气排放物被用作模型的输入。的指示热效率,指示平均有效压力,和CA50误差3%以内。从TPA模型预测的参数,例如空气的容积效率,被截留的空气/燃料蒸汽质量,困残余气体馏分,翻滚,以及活塞,头部的表面温度,和阀门被用作预测燃烧模型初始化。一个内置的火焰传播模型,称为SITurb,进行了研究是否可以复制所述缸内压力和燃烧率的形状。五组分汽油替代的修订层流火焰速度的相关性在燃烧模型通过加密动态链接库文件并入本文。结果表明,燃烧的热历史是在高负载下可重复和配比对超贫条件。在所有的情况下,进行校准只需要乘数湍流火焰速度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号