DME/LPG混合燃料HCCI燃烧模拟

根据碳氢燃料化学反应系统具有层次结构的特性,本文通过分析二甲醚(DME)与液化石油气(LPG)的详细化学反应机理,构建了反映DME／LPG混合燃料均质压燃(HCCI)燃烧的详细化学反应机理．采用该机理应用单区燃烧模型对DME／LPG混合燃料HCCI燃烧的化学反应动力学过程进行了数值计算．计算结果与试验结果对比表明,所构建的DME／LPG混合燃料氧化的详细化学反应机理能够准确预测DME／LPG混合燃料的两阶段放热特性,对低温和高温着火始点的预测很好;但高温反应过程预测欠佳,高温反应机理需要改进．     

基于缸内直喷的汽油HCCI燃烧特性的研究

实现汽油机的均质混合气压燃(HCCI)的难点是精确地控制着火时刻、燃烧速率以及扩展高负荷运行范围.在缸内直喷汽油机(GDI)上试验研究了分层混合气和辅助火花点火对HCCI燃烧特性的影响,考察了对不同运行工况时的适应性.开展了负阀重叠与缸内多段喷油相结合控制HCCI着火稳定性的研究,考察了不同喷油控制策略对HCCI燃烧的影响,确定了HCCI运行工况范围.     

正庚烷化学动力学简化模型的构建及优化

提出了一个新的适用于HCCI发动机燃烧模拟的正庚烷化学反应动力学简化模型(40种组分和62个反应)。由三个子模型组成:低温反应子模型是在Li等人模型的基础上,定义具体的醛类(RCHO)产物和小分子碳氢产物(Rs)而构建;增加了用于链接低温反应向高温反应过渡的大分子直接裂解成小分子反应子模型;高温反应子模型是在Griffiths等人模型的基础上,去除了无关的基元反应,增加两个关于CO和CH3O的氧化反应而构建。另外,采用遗传优化技术对模型动力学参数进行调整。计算表明,新模型能够在当量比0．2-1．2,温度从300-3000 K的范围内精确模拟正庚烷HCCI燃烧时冷焰和热焰反应过程,与详细模型(544种组分和2446个反应)计算结果吻合较好。     

In-cylinder gas temperature and water concentration measurements in HCCI engines using a multiplexed-wavelength diode-laser system: Sensor development and initial demonstration

A wavelength-multiplexed, fiber-optic-based, line-of-sight, diode-laser absorption sensor is developed for crank-angle-resolved measurements of temperature and water concentration in a homogeneous-charge-compression-ignition (HCCI) engine. An initial demonstration of its use on two optical HCCI engines at Sandia National Laboratories is reported. The measurements encompassed both motored- and fired-engine operation for temperatures between 300 and 1700 K and pressures between 1 and 55 bar. A spectroscopic line selection process identifies the most appropriate water absorption linepair for thermometry under these conditions. Key solutions to suppress crank-angle-dependent noise in the transmitted laser signals are reported, including careful spectroscopic design and optical engineering to accommodate beam-steering, engine vibration and polarization-related interference. Data obtained through this sensor can provide critical engine characteristics such as combustion efficiency, peak combustion temperature, and autoignition temperature. The flexibility of the wavelength-multiplexed architecture allows the straightforward addition of other wavelengths to potentially enable the simultaneous measurement of other important engine parameters such as temperature non-uniformity, and fuel, CO, and CO₂ concentrations.     

Using In-Cylinder Gas Internal Energy Balance to Calibrate Cylinder Pressure Data and Estimate Residual Gas Amount in Gasoline Homogeneous Charge Compression Ignition Combustion

Data established from pressure measurements in HCCI operation can prove problematic to calibrate due to the presence of TRG, pegging, and thermal shock issues. This article presents an algorithm aimed at using the measurements available on a typical research engine to overcome these issues, yielding properly calibrated results for both averaged and individual cycles.     

Development of a reduced chemical kinetic mechanism for a gasoline surrogate for gasoline HCCI combustion

A reduced chemical kinetic mechanism consisting of 48 species and 67 reactions is developed and validated for a gasoline surrogate fuel. The surrogate fuel is modeled as a blend of iso-octane, n-heptane, and toluene. The mechanism reduction is performed using sensitivity analysis, investigation of species concentrations, and consideration of the main reaction path. Comparison between ignition delay times calculated using the proposed mechanism and those obtained from shock tube data show that the reduced mechanism can predict delay times with good accuracy at temperatures above 1000 K. The mechanism can also predict the two-stage ignition at the moment of ignition. A rapid compression machine (RCM) is designed to measure ignition delay times of gasoline and gasoline surrogates at temperatures between 890 and 1000 K. Our experimental results suggest that a new gasoline surrogate that has a different mixture ratio than previously defined surrogates is the most similar to gasoline. In addition, the reduced mechanism is validated for the RCM experimental conditions using CFD simulations.     

An Interactively Coupled CFD-Multi-Zone Approach to Model HCCI Combustion

The objective of this work is to present an innovative interactively coupled CFD-multi-zone approach. In a consistent manner, the approach combines detailed flow field information obtained from CFD with detailed chemical kinetics solved in a multi-zone model. Combustion and pollutant formation in an HCCI engine with recompressing VVA strategy are numerically investigated using the interactively coupled CFD-multi-zone approach. A surrogate fuel for gasoline is used in the simulation that consists of n-heptane (18% liquid volume fraction) and isooctane (82% liquid volume fraction). The underlying complete reaction mechanism comprises 482 elementary reactions and 115 chemical species. The interactively coupled CFD-multi-zone approach shows to be accurate enough to describe HCCI chemistry, and is at the same time economical enough to allow application in an industrial environment. For the test case investigated, the simulation results are compared to experimental data that has been obtained using real gasoline. The overall agreement between simulation and experiment is found to be very good. Based on the work presented at the 2^nd ECCOMAS Thematic Conference on Computational Combustion, Delft, The Netherlands, 2007.     

An adaptive multi-grid chemistry (AMC) model for efficient simulation of HCCI and DI engine combustion

There is a need to reduce the computational expense of practical multidimensional combustion simulations. Simulation of Homogeneous Charge Compression Ignition (HCCI) engine processes requires consideration of detailed chemistry in order to capture the ignition and combustion characteristics. Even with relatively coarse numerical meshes and reduced chemistry mechanisms, calculation times are still unacceptably long. For the simulation of Direct Injection (DI) engines, fine meshes are needed to achieve the resolution required by the spray and mixing models, and they are computationally expensive even with reduced chemistry. In addition, the increasing application of CFD for engine design optimization is pushing the demand to reduce computational time. In current design optimizations, depending on the size of the parametric space, hundreds of individual simulations are needed.

This work presents an efficient Adaptive Multi-grid Chemistry (AMC) model that can be used in engine CFD codes for simulations of HCCI and DI engines with detailed chemistry. It was found that the number of cells computed with the chemistry solver can be reduced by two orders of magnitude for HCCI engines. The results predicted by the present KIVA AMC code are also consistent with those calculated by the original code using every cell.

In the method, progressively coarser grids are used for cells with similar gas properties in the chemistry calculation (up to four neighbour levels) or in the global method, cells are grouped without regard for their locations in the cylinder. Averaged and gradient-preserving remapping techniques used in multi-zone engine simulations were also explored. A parametric study was conducted for determining the model variables, such as the degree of local homogeneity for the multi-grid solvers.

The simulation results were compared with experimental data obtained from a Honda engine operated with n-heptane under HCCI conditions for which directly measured in-cylinder temperature and H₂O mole fraction data are available. In addition, simulation results were found to agree well with experimental data from a DI diesel engine operated under PCCI conditions with ultra-high EGR rates. It was found that computer time was reduced by a factor of ten for HCCI cases and two to three for DI cases without losing prediction accuracy.