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首页> 外文会议>SAE World congress;Multi-dimensional engine modeling session >Simulations of Advanced Combustion Modes Using Detailed Chemistry Combined with Tabulation and Mechanism Reduction Techniques
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Simulations of Advanced Combustion Modes Using Detailed Chemistry Combined with Tabulation and Mechanism Reduction Techniques

机译：使用详细化学方法与制表和机理还原技术相结合的高级燃烧模式模拟

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Multi-dimensional models represent today consolidated tools to simulate the combustion process in HCCI and Diesel engines. Various approaches are available for this purpose, it is however widely accepted that detailed chemistry represents a fundamental prerequisite to obtain satisfactory results when the engine runs with complex injection strategies or advanced combustion modes. Yet, integrating such mechanisms generally results in prohibitive computational cost. This paper presents a comprehensive methodology for fast and efficient simulations of combustion in internal combustion engines using detailed chemistry. For this purpose, techniques to tabulate the species reaction rates and to reduce the chemical mechanisms on the fly have been coupled. In this way, the computational overheads related to the use of these mechanisms are significantly reduced since tabulated reaction rates are re-used for cells with similar compositions and, when it becomes necessary to perform direct integration, only the relevant set of species and reactions is taken into account. The proposed approach named tabulation of dynamic adaptive chemistry (TDAC) has been implemented in the Lib-ICE code, which is a set of libraries and applications for IC engine modeling developed using the OpenFOAM® technology. In particular, a modified version of the in-situ adaptive tabulation (ISAT) algorithm has been developed for systems with variable temperature and pressure, and the directed relation graph (DRG) method has been used to reduce the mechanism at run-time. The validation has been carried out with HCCI and Diesel cases both using a simplified case to compare the results obtained with and without TDAC, and a detailed case that is validated with experimental data. For each tested condition, a detailed comparison between computed and experimental data is provided along with the achieved speed-up factors compared to the use of direct-integration.
机译：多维模型代表了如今的综合工具，可以模拟HCCI和柴油发动机的燃烧过程。有多种方法可用于此目的，然而，当发动机以复杂的喷射策略或先进的燃烧模式运行时，详细的化学反应是获得令人满意的结果的基本前提。然而，集成这样的机制通常导致过高的计算成本。本文介绍了一种使用详细化学原理快速有效地模拟内燃机燃烧的综合方法。为了这个目的，已经将制表物种反应速率并减少飞行中化学机理的技术进行了耦合。这样，由于将制表的反应速率重新用于具有相似组成的细胞，并且显着减少了与使用这些机制有关的计算开销，并且当有必要执行直接整合时，仅相关的一组物种和反应就可以了。考虑在内。在Lib-ICE代码中已实现了名为动态自适应化学制表（TDAC）的拟议方法，该方法是使用OpenFOAM®技术开发的用于IC引擎建模的一组库和应用程序。特别是，针对温度和压力可变的系统，开发了原位自适应制表法（ISAT）算法的改进版本，并且使用有向关系图（DRG）方法来减少运行时的机理。 HCCI和Diesel案例均通过简化案例来比较使用和不使用TDAC的结果，以及使用实验数据进行验证的详细案例来进行验证。对于每种测试条件，均提供了计算数据与实验数据之间的详细比较，以及与使用直接积分相比所实现的加速因子。

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