AVL BOOST软件在生物质气体发动机性能计算上的应用

AVL BOOST软件是进行发动机循环和进排气系统计算，建立发动机模型的专用程序，一般用于汽油、柴油等液体燃料和天然气、氢等睢组分气体燃料发动机的性能计算。文章将该程序用于多组分低热值生物质燃气发动机，建立数学模型，进行了发动机性能计算，并与试验数据进行对比。结果表明，模拟值与试验值能较好吻合，从而验证了该工作模型的正确性，验证了AVL BOOST软件运用于生物质气体发动机整机和零部件的优化设计的可行性。     

基于AVL BOOST的16V190燃气发动机配气相位的仿真与优化

采用AVL BOOST发动机模拟分析软件建立16V190燃气发动机仿真计算模型,在额定转速、全负荷工况下,分别对不同的配气相位角度进行仿真分析计算,对比排气歧管温度、燃气消耗率、爆发压力及功率等参数,为确定合理的配气相位及改善发动机性能提供依据。     

点燃式HCNG发动机一维数值模拟研究

利用AVL BOOST软件建立天然气掺氢(HCNG)发动机的整机工作过程一维模拟模型,通过与试验结果对比,证明了模型的适用性和准确性.并对HCNG发动机进行了一系列的变参数分析研究,主要变化参数包括体积掺氢比、负荷、压缩比及配气相位.模拟计算结果表明:提高掺氢比和负荷可提高缸内燃烧温度,使传热损失和NOx排放增加;提高压缩比有利发动机的动力性和经济性;进气迟闭角和排气提前角相位对发动机的动力性和经济性有较大影响.     

运行参数对活塞热负荷及异常燃烧的影响

应用AVL BOOST仿真软件建立了天然气发动机的仿真模型,计算不同的运行参数对发动机热负荷的影响。主要分析不同点火提前角、空燃比、中冷后温度及增压压力时,活塞、缸盖等气缸零件热负荷的变化,为降低燃气发动机气缸零件热负荷、抑制异常燃烧、优化运行参数等各个方面的改进提供理论依据。     

WT615型天然气发动机模拟计算及性能分析

应用AVL—BOOST软件对WT615型天然气发动机建立工作过程计算模型，从发动机负荷特性和速度特性验证模型的准确性，并通过改变模型中的过量空气系数、点火提前角和增压比等主要工作参数对该机性能影响进行分析，从而为发动机的参数优化匹配和电控系统的脉谱标定奠定理论基础，减少开发过程中的人力、物力和财力。     

基于AVL_BOOST的氢发动机燃烧特性和性能分析

基于AVL发动机专用数值模拟软件BOOST,建立了单缸直喷氢发动机模型.模拟结果和实验结果的对比表明,所建BOOST模型具有较高的可信度.通过改变发动机的主要结构参数和运转参数,研究氢发动机的燃烧特性以及它们对氢发动机动力性和经济性的影响.     

共轨喷射系统喷孔参数对柴油机性能影响的模拟预估

通过应用AVL公司BOOST发动机模拟计算软件建立了某车用电控柴油机的仿真计算模型,并进行了试验验证,应用MCC燃烧模型,研究在额定工况相同喷油量下不同的喷孔几何尺寸对发动机性能的影响。     

天然气增压发动机工作过程模拟分析研究

采用AVL BOOST软件建立了天然气发动机的零维软件计算模型。以WT615CNG发动机为模拟研究对象,计算结果与试验数据对比分析表明,模型基本准确。同时分析研究了主要结构参数和运行参数对该天然气发动机动力性、经济性的影响。     

LY12V140型天然气发动机模拟计算及性能分析

应用AVL-BOOST软件对LY12V140型天然气发动机建立工作过程计算模型,计算模拟配气定时、点火正时、压缩比、增压比、进气温度等参数对发动机燃烧过程和性能的影响,找出这些参数最佳的取值范围,从而为发动机的参数优化匹配奠定理论基础,减少开发过程中的人力、物力和财力的消耗。     

GW 2．5TCI柴油机参数优化匹配与性能模拟计算

利用AVL—BOOST发动机模拟软件建立了GW 2．5TCI柴油机的计算模型,分析探讨了不同压缩比和不同喷油提前角对柴油机性能的影响,并确定了合适的匹配参数。根据优化结果模拟了柴油机外特性上的性能,并和试验值进行了比较。结果表明,模拟计算结果与实验值较为一致,柴油机性能符合预定的目标,同时为该柴油机改进设计和试验研究提供理论依据和研究方向。     

汽油发动机燃用LPG的燃烧性能数值模拟及试验研究

应用GT-POWER软件和化学动力学软件CHEMKIN建立了汽油发动机工作过程计算模型,并用试验结果进行了验证。在此基础上对汽油发动机燃烧LPG时的动力性能及经济性能进行了变参数研究。模拟结果表明,在相同工况条件下,随着压缩比的增大,燃用LPG发动机的经济性和动力性能都有所提高,但同时爆震指数也相应增加。随着空燃比的增加,发动机的经济性能和动力性能均先提高后降低,空燃比对缸内层流燃烧速度和绝热火焰温度影响较大。     

基于AVL-BOOST的天然气发动机性能优化仿真

采用AVL-BOOST软件建立了天然气发动机的数学模型,验证了模型的有效性,通过变参数研究,分析了压缩比、点火提前角对发动机动力性和经济性的影响。研究结果表明,随着压缩比的增大,发动机的有效功率和最高爆发压力均呈上升趋势,压缩比在10～13的范围内,最高压力升高率始终在爆震警戒线以下,在点火提前角为27°～36°CA范围内,发动机的有效功率随着点火提前角的增大而增加,同时发动机的燃油经济性得到改善。     

Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings

Due to the increasing demand for fossil fuels and environmental threat due to pollution a number renewable sources of energy have been studied worldwide. In the present investigation influence of injection timing on the performance and emissions of a single cylinder, four stroke stationary, variable compression ratio, diesel engine was studied using waste cooking oil (WCO) as the biodiesel blended with diesel. The tests were performed at three different injection timings (24°, 27°, 30° CA BTDC) by changing the thickness of the advance shim. The experimental results showed that brake thermal efficiency for the advanced as well as the retarded injection timing was lesser than that for the normal injection timing (27° BTDC) for all sets of compression ratios. Smoke, un-burnt hydrocarbon (UBHC) emissions were reduced for advanced injection timings where as NO_x emissions increased. Artificial Neural Networks (ANN) was used to predict the engine performance and emission characteristics of the engine. Separate models were developed for performance parameters as well as emission characteristics. To train the network, compression ratio, injection timing, blend percentage, percentage load, were used as the input parameters where as engine performance parameters like brake thermal efficiency (BTE), brake specific energy consumption (BSEC), exhaust gas temperature (T_exh) were used as the output parameters for the performance model and engine exhaust emissions such as NO_x, smoke and (UBHC) values were used as the output parameters for the emission model. ANN results showed that there is a good correlation between the ANN predicted values and the experimental values for various engine performance parameters and exhaust emission characteristics and the relative mean error values (MRE) were within 8%, which is acceptable.     

基于某型柴油机的天然气发动机性能优化仿真研究

针对基于某型柴油机改造的天然气发动机进行了性能仿真计算研究。通过建立天然气发动机仿真模型,对其结构参数进行了优化计算,并进行了增压器匹配计算。仿真计算得到了优化后的天然气发动机的性能参数,验证了该型柴油机改造为天然气发动机的可行性,并为基于柴油机改造的天然气发动机的性能提升与试验提供了理论依据。     

16V396TE54船用电站柴油机优化匹配及试验研究

建立了16V396TE54柴油机仿真模型,针对该机型大排气背压和大进气阻力的使用工况,开展涡轮增压器和压缩比的优化匹配仿真分析,并进行了实机性能试验,二者结果相吻合,优化匹配后的柴油机各性能参数在要求的范围之内,能够满足在大排气背压和大进气阻力工况下使用的要求。     

Thermodynamic analysis of combustion and pollutants formation in a wood-gas spark-ignited heavy-duty engine

Awareness of limitations of petroleum based liquid fuels as for example used in spark-ignited heavy-duty engines for power generation, has led engineers to propose various solutions such as the use of alternative/renewable energy sources. Wood-gas is an alternative gaseous fuel generated from the gasification of wood, which could be used as a full supplement fuel in conventional heavy-duty spark-ignited engines fuelled with natural gas. Previous related research studies have shown that the main disadvantage of the wood-gas combustion is its negative impact on brake engine efficiency compared to the normal natural gas operation, while NO and CO emissions are also increased. Compression ratio and spark timing are some of the engine parameters, which influence significantly the combustion mechanism inside the combustion chamber of a wood-gas powered spark-ignited engine. In order to examine the effect of these parameters on the performance and exhaust emissions of a heavy-duty, turbocharged, spark-ignited engine fuelled with wood-gas, a theoretical investigation is conducted in this work by using a numerical simulation. The results concern engine performance characteristics, NO and CO emissions for various engine operating conditions (i.e. air to fuel excess ratios), by using a comprehensive two-zone phenomenological model. The predictive ability of the thermodynamic model was tested against experimental measurements, which were obtained from the operation of a multi-cylinder, four-stroke, turbocharged, spark-ignited engine fuelled with wood-gas fuel at various loads. The experimental results are found to be in good agreement with the respective computed ones obtained from the simulation model. The main objective of the comparative assessment shown in the present work is to record and comparatively evaluate the relative impact of each one of the above mentioned parameters (compression ratio and spark timing) on the engine performance characteristics and emitted pollutants. Furthermore, an effort is made to determine the optimum combinations between these parameters, since at high engine load conditions their simultaneous increase may lead in undesirable results concerning the engine performance characteristics. The conclusions from the present investigation are valuable for the use of wood-gas as a full supplement energy source in conventional, natural gas fuelled, heavy-duty, spark-ignited engines used for electric power generation.     

Nonlinear design-point performance adaptation approaches and their comparisons for gas turbine applications

Accurate performance simulation and understanding of gas turbine engines is very useful for gas turbine manufacturers and users alike and such a simulation normally starts from its design point. When some of the engine component parameters for an existing engine are not available, they must be estimated in order that the performance analysis can be started. Therefore, the simulated design point performance of an engine may be slightly different from its actual performance. In this paper, two nonlinear gas turbine design-point performance adaptation approaches have been presented to best estimate the unknown component parameters and match available design point engine performance, one using a nonlinear matrix inverse adaptation method and the other using a Genetic Algorithm-based adaptation approach. The advantages and disadvantages of the two adaptation methods have been compared with each other. In the approaches, the component parameters may be compressor pressure ratios and efficiencies, turbine entry temperature, turbine efficiencies, engine mass flow rate, cooling flows, and bypass ratio, etc. The engine performance parameters may be thrust and SFC for aero engines, shaft power, and thermal efficiency for industrial engines, gas path pressures, temperatures, etc. To select the most appropriate to-be-adapted component parameters, a sensitivity bar chart is used to analyze the sensitivity of all potential component parameters against the engine performance parameters. The two adaptation approaches have been applied to a model gas turbine engine. The application shows that the sensitivity bar chart is very useful in the selection of the to-be-adapted component parameters, and both adaptation approaches are able to produce good quality engine models at design point. The comparison of the two adaptation methods shows that the nonlinear matrix inverse method is faster and more accurate, while the genetic algorithm-based adaptation method is more robust but slower. Theoretically, both adaptation methods can be extended to other gas turbine engine performance modelling applications.     

Nonlinear design-point performance adaptation approaches and their comparisons for gas turbine applications

Accurate performance simulation and understanding of gas turbine engines is very useful for gas turbine manufacturers and users alike and such a simulation normally starts from its design point. When some of the engine component parameters for an existing engine are not available, they must be estimated in order that the performance analysis can be started. Therefore, the simulated design point performance of an engine may be slightly different from its actual performance. In this paper, two nonlinear gas turbine design-point performance adaptation approaches have been presented to best estimate the unknown component parameters and match available design point engine performance, one using a nonlinear matrix inverse adaptation method and the other using a Genetic Algorithm-based adaptation approach. The advantages and disadvantages of the two adaptation methods have been compared with each other. In the approaches, the component parameters may be compressor pressure ratios and efficiencies, turbine entry temperature, turbine efficiencies, engine mass flow rate, cooling flows, and by-pass ratio, etc. The engine performance parameters may be thrust and SFC for aero engines, shaft power, and thermal efficiency for industrial engines, gas path pressures, temperatures, etc. To select the most appropriate to-be-adapted component parameters, a sensitivity bar chart is used to analyze the sensitivity of all potential component parameters against the engine performance parameters. The two adaptation approaches have been applied to a model gas turbine engine. The application shows that the sensitivity bar chart is very useful in the selection of the to-be-adapted component parameters, and both adaptation approaches are able to produce good quality engine models at design point. The comparison of the two adaptation methods shows that the nonlinear matrix inverse method is faster and more accurate, while the genetic algorithm-based adaptation method is more robust but slower. Theoretically, both adaptation methods can be extended to other gas turbine engine performance modelling applications.     

基于GT-POWER的二甲醚柴油机性能研究

利用VB编程算出了二甲醚的物性参数,利用MATLAB算出了GT-POWER中各方程的待定系数,利用GT-POWER建立了柴油机燃用二甲醚的仿真模型。在原机标定转速下,进行了变压缩比、供油提前角对二甲醚发动机性能影响的研究,将仿真数据和实验数据进行了对比。结果表明：二甲醚的物性参数及方程中的待定系数计算正确,ZS1100柴油机燃用二甲醚的最佳压缩比为20,供油提前角对二甲醚发动机性能的影响与柴油相似。     

船用三轴燃气轮机性能退化指标体系的构建

从燃气轮机整体性能、气路部件、滑油系统、结构振动等方面,较为全面地构建了船用三轴燃气轮机性能退化指标体系。提出了表征整机性能退化的排温裕度、热损失指标、功率不足指标、额外热功比、热效率比等指标。明确了表征气路部件退化的退化因子的概念,提出了绝热效率退化因子、流量退化因子、喘振裕度、热电偶分散度等表征压气机、涡轮、燃烧室等气路部件退化的指标。提出了构建数学模型、统计三限值法、小偏差法和卡尔曼滤波等退化指标的求解和分析方法,并进行了实例分析。为进一步开展燃气轮机性能退化状态评估构建了基本框架。