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Investigations on Multiple Injection Strategies in a Common Rail Diesel Engine Using Machine Learning and Image-Processing Techniques 基于机器学习和图像处理技术的共轨柴油机多喷油策略研究
Q2 Engineering Pub Date : 2023-10-26 DOI: 10.4271/03-17-03-0021
Abhijeet Vaze, Pramod S. Mehta, Anand Krishnasamy
The present study examines the effect of the multiple injection strategies in a common rail diesel engine using machine learning, image processing, and object detection techniques. The study demonstrates a novel approach of utilizing image-processing tools to gain information from heat release rates and in-cylinder visualizations from experimental or computational studies. The 3D CFD combustion and emission predictions of a commercial code ANSYS FORTE© are validated with small-bore common rail diesel engine data with known injection strategies. The validated CFD tool is used as a virtual plant model to optimize the injection schedule for reducing oxides of nitrogen (NOx) and soot emissions using an apparent heat release rate image-based machine learning tool. A methodology of the machine learning tool is quite helpful in predicting the NO–soot trade-off. This methodology shows a significant reduction in soot and NO emissions using a pilot–main–post-injection schedule of 25% pilot, 25% post-, and 50% main injection, compared to a baseline pilot–main injection schedule. In addition, this work attempts a robust and high-fidelity optimization of the fuel injection schedule using the random forest algorithm for predicting the NO and soot emissions using 73 simulations done with different pilot–main and pilot–main–post-injection strategies on a small-bore diesel engine. Further, the object detection algorithm is trained on simulation data from the small-bore engine for detecting the interaction between the developed combustion from the pilot or main with sprays of subsequent injections using in-cylinder 3D CFD simulation and experimental data. A small-bore engine dataset shows that the trained object detection algorithm successfully corroborates the simulation and experimental data interaction. This investigation, therefore, presents a novel application of object detection methodology by automating the process and providing a general-purpose object detection algorithm. This approach can be used on any new simulation or experimental data for automated detection of the spray–thermal zone interaction without human intervention.
本研究使用机器学习、图像处理和目标检测技术,研究了共轨柴油机中多种喷射策略的效果。该研究展示了一种利用图像处理工具从实验或计算研究中获得热量释放率和缸内可视化信息的新方法。利用已知喷射策略的小口径共轨柴油机数据,对商用代码ANSYS FORTE©的三维CFD燃烧和排放预测进行了验证。经过验证的CFD工具被用作虚拟工厂模型,使用基于表观热释放率图像的机器学习工具来优化注入计划,以减少氮氧化物(NO<sub>x</sub>)和煤烟排放。机器学习工具的方法在预测无烟灰权衡方面非常有帮助。该方法表明,与基准先导-主喷射计划相比,采用25%先导、25%后喷射和50%主喷射的先导-主喷射计划,可显著减少烟尘和NO排放。此外,本研究尝试使用随机森林算法对燃油喷射计划进行鲁棒性和高保真度的优化,以预测NO和烟尘排放,并在小口径柴油机上使用不同的先导-主和先导-主-后喷射策略进行了73次模拟。此外,目标检测算法基于来自小口径发动机的模拟数据进行训练,利用缸内3D CFD模拟和实验数据,检测先导或主发动机燃烧与后续喷油喷雾之间的相互作用。一个小口径发动机数据集表明,所训练的目标检测算法成功地验证了仿真数据和实验数据的相互作用。因此,本研究通过自动化过程和提供通用目标检测算法,提出了一种新的目标检测方法应用。该方法可用于任何新的模拟或实验数据,无需人工干预即可自动检测喷雾-热区相互作用。
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引用次数: 0
Divided Exhaust Period Assessment for Fuel-Enrichment Reduction in Turbocharged Spark-Ignition Engines 涡轮增压火花点火发动机燃料浓缩降低的分排气期评估
Q2 Engineering Pub Date : 2023-10-26 DOI: 10.4271/03-17-03-0022
Praveen Kumar, Xin Yu, Anqi Zhang, Andrew Baur, Nayan Engineer, David Roth
Turbocharged spark-ignition (SI) engines, owing to frequent engine knocking events, utilize retarded spark timing that causes combustion inefficiency, and high turbine inlet temperature (Trb-In T) levels. Fuel enrichment is implemented at high power levels to prevent excessive Trb-In T levels, resulting in an additional fueling penalty and higher CO emissions. In current times, fuel-enrichment reductions are of high strategic importance for engine manufacturers to meet the imminent emissions regulations. To that end, the authors investigated the divided exhaust period (DEP) concept in a 2.2 L turbocharged SI engine with a geometric compression ratio of 14 by decoupling blowdown (BD) and scavenge (SC) events during the exhaust process. Using a validated 1D engine model, the authors first analyzed the DEP concept in terms of pumping mean effective pressure (PMEP) and engine knocking (KI) reduction. Subsequently, the authors examined the effectiveness of the DEP concept using a “low-restriction exhaust flowpath” and varying late intake valve closing (LIVC) duration.
First, using DEP, significant PMEP and KI reductions benefits were observed at high power engine conditions along with a large increase in Trb-In T from the early blowdown event. Subsequently, use of a low restriction exhaust flowpath and a shortened LIVC duration further elevated the DEP benefits, including Trb-In T reduction that facilitated enrichment reduction. At 4,000 RPM/20 bar BMEP, ~70% lower PMEP and a 2.2 point increase in ITEg were noted relative to the base engine. However, the 2,000 RPM peak torque engine condition was compromised using DEP, due to knock limitation and deteriorated stock turbocharger performance. Finally, DEP design integrated with an off-the-shelf (new) turbocharger system remedied the low-end torque challenges and demonstrated a notable enrichment reduction and thermal efficiency benefits at the full load engine curve including the 200 kW rated condition.
涡轮增压火花点火(SI)发动机,由于频繁的发动机爆震事件,利用延迟的火花定时,导致燃烧效率低下,高涡轮入口温度(Trb-In - T)水平。在高功率水平下进行燃料浓缩,以防止Trb-In - T水平过高,从而导致额外的加油罚款和更高的CO排放。当前,降低燃料浓缩对发动机制造商满足即将出台的排放法规具有重要的战略意义。为此,作者通过分离排气过程中的排污(BD)和扫气(SC)事件,研究了几何压缩比为14的2.2 L涡轮增压SI发动机的分排气期(DEP)概念。使用经过验证的1D发动机模型,作者首先从泵送平均有效压力(PMEP)和发动机爆震(KI)减少的角度分析了DEP概念。随后,作者使用“低限制排气流道”和不同的晚期进气阀关闭(LIVC)持续时间来检验DEP概念的有效性。首先,使用DEP,在大功率发动机条件下观察到显著的PMEP和KI降低效果,同时从早期排污事件中大幅增加Trb-In T。随后,使用低限制排气路径和缩短LIVC持续时间进一步提高了DEP效益,包括Trb-In T的减少,促进了富集的减少。在4000rpm / 20bar BMEP时,与基础发动机相比,PMEP降低了约70%,ITEg增加了2.2个点。然而,由于爆震限制和原涡轮增压器性能恶化,DEP降低了2,000 RPM峰值扭矩的发动机条件。最后,DEP设计集成了一个现成的(新型)涡轮增压器系统,解决了低端扭矩挑战,并在满载发动机曲线(包括200 kW额定工况)下显示出显著的富化降低和热效率优势。
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引用次数: 0
Visualization and Statistical Analysis of Passive Pre-chamber Knock in a Constant-volume Optical Engine 等体积光学发动机被动预爆震的可视化与统计分析
Q2 Engineering Pub Date : 2023-10-20 DOI: 10.4271/03-17-03-0020
Dong Eun Lee, Xin Yu, Andrew Baur, Li Qiao
This study investigates the behavior of pre-chamber knock in comparison to traditional spark ignition engine knock, using a modified constant-volume gasoline engine with an optically accessible piston. The aim is to provide a deeper understanding of pre-chamber knock combustion and its potential for mitigating knock. Five passive pre-chambers with different nozzle diameters, volumes, and nozzle numbers were tested, and nitrogen dilution was varied from 0% to 10%. The stochastic nature of knock behavior necessitates the use of statistical methods, leading to the proposal of a high-frequency band-pass filter (37–43 kHz) as an alternative pre-chamber knock metric. Pre-chamber knock combustion was found to exhibit fewer strong knock cycles compared to SI engines, indicating its potential for mitigating knock intensity. High-speed images revealed pre-chamber knock primarily occurs near the liner, where end-gas knock is typically exhibited. The study identified that increasing pre-chamber nozzle diameter resulted in a larger dispersion of knock cycles and more severe knock intensity, likely due to shorter jet penetration depth requiring more time for end-gas consumption. Strategies for mitigating knock in pre-chamber combustion systems include reducing the pre-chamber volume for a fixed A/V ratio and increasing dilution level. The results of this study offer valuable insights for developing effective knock mitigation approaches in pre-chamber combustion systems, contributing to the advancement of more efficient and reliable engines.
本研究采用一种带有光学可及活塞的改进等体积汽油发动机,研究了预爆室爆震与传统火花点火发动机爆震的比较行为。目的是提供一个更深入的了解预室爆震燃烧及其潜力减轻爆震。测试了5个不同喷嘴直径、体积和喷嘴数量的被动预室,氮气稀释度从0%到10%不等。爆震行为的随机性需要使用统计方法,因此提出了高频带通滤波器(37-43 kHz)作为预爆震度量的替代方法。与SI发动机相比,预燃室爆震燃烧表现出更少的强爆震循环,表明其具有减轻爆震强度的潜力。高速图像显示,预爆室主要发生在内胆附近,在那里通常表现出末端气体爆震。研究发现,增大预室喷管直径会导致爆震周期分布更广,爆震强度更严重,这可能是由于较短的射流穿透深度需要更多的末端气体消耗时间。减轻预燃室燃烧系统爆震的策略包括减少固定a /V比的预燃室体积和增加稀释水平。这项研究的结果为在预燃室燃烧系统中开发有效的爆震缓解方法提供了有价值的见解,有助于开发更高效、更可靠的发动机。
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引用次数: 0
Numerical Simulation of Turbulent Structures Inside Internal Combustion Engines Using Large Eddy Simulation Method 基于大涡模拟方法的内燃机湍流结构数值模拟
Q2 Engineering Pub Date : 2023-10-16 DOI: 10.4271/03-17-02-0011
Negin Aghamohamadi, Hassan Khaleghi, Majid Razaghi
Using two subgrid-scale models of Smagorinsky and its dynamic version, large eddy simulation (LES) approach is applied to develop a 3D computer code simulating the in-cylinder flow during intake and compression strokes in an engine geometry consisting of a pancake-shaped piston with a fixed valve. The results are compared with corresponding experimental data and a standard K-Ɛ turbulence model. LES results generally show better agreement with available experimental data suggesting that LES with dynamic subgrid-scale model is more effective method for accurately predicting the in-cylinder flow field. Representative Fiat engine equipped with moving valve and piston bowl is analyzed as the second case to assess the capability of the method to handle complex geometries and impacts of geometrical parameters such as shape and position of piston bowl together with swirling intake flow pattern on both turbulent structure of in-cylinder flow and engine performance using dynamic version of LES approach over a curvilinear computational meshed geometry. Results indicate that presence of piston bowl leads to eye-catching increment in both turbulent kinematic energy and tumble ratio amounts at the end of compression stroke by around 29% and 33%, respectively. The optimum swirl ratio found to be 4, leading to 67.9% increment in pre-injection turbulent kinetic energy in comparison with non-swirl pattern, whereas 20% eccentricity of cylinder bowl just led to 2% improvement in the pre-injection turbulent kinetic energy, which is not recommended due to small impact compared to noticeable manufacturing expenditures.
利用Smagorinsky及其动态版本的两个亚网格尺度模型,应用大涡模拟(LES)方法开发了一个三维计算机代码,模拟了由煎饼形活塞和固定气门组成的发动机在进气和压缩冲程期间的气缸内流动。结果与相应的实验数据和标准K-Ɛ湍流模型进行了比较。结果表明,结合动态亚网格尺度模型的LES是一种更准确预测缸内流场的有效方法。以具有代表性的配备动气门和活塞碗的菲亚特发动机为例,利用动态版的LES方法在曲线计算网格几何上评估了该方法处理复杂几何形状的能力,以及活塞碗形状和位置等几何参数以及旋涡进气流型对缸内流动湍流结构和发动机性能的影响。结果表明,活塞碗的存在使压缩行程结束时的湍动能和翻滚比分别增加了29%和33%左右。最佳涡流比为4,与无涡流模式相比,喷射前湍流动能增加了67.9%,而缸碗偏心率为20%时,喷射前湍流动能仅增加了2%,由于与显著的制造成本相比影响较小,因此不推荐使用。
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引用次数: 0
Impact Level of Selected Fuel Mixtures on the Natural Environment 选定燃料混合物对自然环境的影响程度
Q2 Engineering Pub Date : 2023-10-13 DOI: 10.4271/03-16-08-0056
Marietta Markiewicz, Łukasz Muślewski, Michał Pająk
The European Union’s pro-ecological policy imposes a requirement to use biofuel additives in diesel fuel which is supposed to support the sustainable development of transport and limit its negative impact on the natural environment. The study presents an analysis of the exhaust gas components and the amount of solid particles carried out for internal combustion engines fueled with mixtures of diesel fuel and fatty acid methyl esters. Additionally, the computer software of the tested power units was modified by changing the amount of fuel to be supplied and the air intake. The goal of the tests was to find out how the fuel mixture and reprogramming of the computer control systems would impact the emission of exhaust gas components. Based on the tests, it was found that an additive of fatty acid methyl esters to diesel does have an influence on the tested unit parameters. The highest values were found for a mixture containing 90% diesel fuel and 10% fatty acid methyl esters, whereas the lowest ones were for a mixture composed of 50% diesel fuel and 50% fatty acid methyl esters.
欧盟的亲生态政策要求在柴油中使用生物燃料添加剂,这应该支持交通的可持续发展,并限制其对自然环境的负面影响。该研究分析了使用柴油和脂肪酸甲酯混合燃料的内燃机的废气成分和固体颗粒的数量。此外,通过改变供油量和进气口,对测试动力装置的计算机软件进行了修改。测试的目的是找出燃料混合物和计算机控制系统的重新编程将如何影响废气成分的排放。通过试验发现,脂肪酸甲酯类柴油添加剂对被测机组参数有一定影响。含有90%柴油和10%脂肪酸甲酯的混合物的值最高,而含有50%柴油和50%脂肪酸甲酯的混合物的值最低。
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引用次数: 0
Cylinder Liner Velocity Calculation under Dynamic Condition in the Pursuit of Liner Cavitation Investigation of an Internal Combustion Engine 内燃机缸套空化研究中动态条件下缸套速度计算
Q2 Engineering Pub Date : 2023-10-12 DOI: 10.4271/03-17-03-0017
Sanjib Chowdhury
An analytical method for nonlinear three-dimensional (3D) multi-body flexible dynamic time-domain analysis for a single-cylinder internal combustion (IC) engine consisting of piston, connecting rod, crank pin, and liner is developed. This piston is modeled as a 3D piston that collides with the liner as in a real engine. The goal is to investigate the piston slap force and subsequent liner vibration. Liner vibrational velocity is directly responsible for pressure fluctuations in the coolant region resulting in bubble formation and subsequent collapse. If the bubble collapse is closer to the liner surface, cavitation erosion in the liner might occur. The mechanism of liner cavitation is briefly explained, which would take a full computational fluid dynamics (CFD) model to develop, which is out of scope for the present work. However, as a first step, the present method focused on a comprehensive and accurate estimation of the highest inward and outward liner velocities, which are directly related to the bubble formation and collapse, respectively. Sensitivity of liner velocity to different engine-operating conditions (warm and hot, with highest skirt temperatures of 178 and 130°C), piston pin bore offsets (thrust side, anti-thrust side directions in the amounts of 0.6 mm, and the nominal no offset case), and liner thicknesses are determined. Piston thermal growth is considered as part of the analysis resulting in interference condition between piston skirt and liner under the hot operating condition and low minimum clearance under the warm condition. Correlation of liner velocity contour plots with real engine liner cavitation erosion is presented. Analytical model showed a maximum liner inward velocity of 55 mm/s with no piston pin offset under nominal engine-operating configuration. A correlation has been found between location of this highest liner velocity and location of the actual cavitation erosion in the field.
针对由活塞、连杆、曲柄销和衬套组成的单缸内燃机,提出了一种非线性三维多体动态时域分析方法。这个活塞被建模为一个三维活塞,与一个真正的发动机的衬垫碰撞。目的是研究活塞拍打力和随后的衬垫振动。衬管振动速度直接导致冷却剂区域的压力波动,从而导致气泡的形成和随后的崩溃。如果气泡破裂距离尾管表面较近,则可能发生尾管的空化侵蚀。对尾管空化的机理进行了简要的解释,需要一个完整的计算流体力学(CFD)模型来展开,这超出了本工作的范围。然而,作为第一步,本方法侧重于全面准确地估计最高向内和向外的线速度,它们分别与气泡的形成和破裂直接相关。确定了衬管速度对不同发动机工作条件(温暖和炎热,裙边最高温度为178°C和130°C)、活塞销孔偏移量(推力侧、反推力侧方向的偏移量为0.6 mm,标称无偏移情况)和衬管厚度的敏感性。热工况下活塞裙套与衬套之间存在干涉现象,热工况下活塞裙套与衬套之间存在最小间隙。提出了发动机尾管空化侵蚀与尾管速度等值线图的关系。分析模型显示,在额定发动机运行配置下,无活塞销偏置的最大衬套向内速度为55毫米/秒。在最高尾管速度的位置与现场实际空化侵蚀的位置之间发现了相关性。
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引用次数: 0
A Numerical Methodology to Test the Lubricant Oil Evaporation and Its Thermal Management-Related Properties Derating in Hydrogen-Fueled Engines 氢燃料发动机润滑油蒸发及热管理性能降额的数值方法研究
Q2 Engineering Pub Date : 2023-09-15 DOI: 10.4271/03-17-02-0015
Edoardo De Renzis, Valerio Mariani, Gian Marco Bianchi, Giulio Cazzoli, Stefania Falfari
Due to the incoming phase out of fossil fuels from the market in order to reduce the carbon footprint of the automotive sector, hydrogen-fueled engines are candidate mid-term solution. Thanks to its properties, hydrogen promotes flames that poorly suffer from the quenching effects toward the engine walls. Thus, emphasis must be posed on the heat-up of the oil layer that wets the cylinder liner in hydrogen-fueled engines. It is known that motor oils are complex mixtures of a number of mainly heavy hydrocarbons (HCs); however, their composition is not known a priori. Simulation tools that can support the early development steps of those engines must be provided with oil composition and properties at operation-like conditions. The authors propose a statistical inference-based optimization approach for identifying oil surrogate multicomponent mixtures. The algorithm is implemented in Python and relies on the Bayesian optimization technique. As a benchmark, the surrogate for the SAE5W30 commercial multigrade oil has been determined. Then, this multicomponent surrogate and a SAE5W30 pseudo-pure are compared by means of an oil film model, which accounts for oil heat exchange with the cylinder wall and the gases from hydrogen combustion, and its evaporation. The results in terms of oil film temperature, viscosity, and thickness under hydrogen-engine boundaries are evaluated. Analyses reveal that the optimized multicomponent mixture behavior is more realistic and can outperform the pseudo-pure approach when the oil phase change and the oil-in-cylinder presence must be considered.
由于为了减少汽车行业的碳足迹,化石燃料将逐步退出市场,氢燃料发动机是候选的中期解决方案。由于它的特性,氢可以促进火焰,使其不受发动机壁的淬火效应的影响。因此,在氢燃料发动机中,重点必须放在润湿汽缸套的油层的加热上。众所周知,机油是许多主要是重碳氢化合物(hc)的复杂混合物;然而,它们的组成是未知的先验。为了支持这些发动机的早期开发步骤,模拟工具必须提供类似操作条件下的油成分和特性。提出了一种基于统计推理的多组分替代油混合物识别优化方法。该算法是用Python实现的,并依赖于贝叶斯优化技术。作为基准,已经确定了SAE5W30商业多级油的替代品。然后,利用油膜模型(考虑油与缸壁的热交换和氢气燃烧产生的气体及其蒸发)对该多组分替代物与SAE5W30伪纯物进行了比较。对氢发动机边界下的油膜温度、粘度和厚度进行了评价。分析表明,在考虑油相变化和缸内油存在的情况下,优化后的多组分混合行为更为真实,优于拟纯方法。
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引用次数: 0
Impact of Passive Pre-Chamber Nozzle Diameter on Jet Formation Patterns and Dilution Tolerance in a Constant-Volume Optical Engine 等体积光学发动机中被动预室喷嘴直径对射流形成模式和稀释容差的影响
Q2 Engineering Pub Date : 2023-09-11 DOI: 10.4271/03-17-02-0013
Dong Eun Lee, Claudia Iyer, Steven Wooldridge, Li Qiao, Jianwen J. Yi
Pre-chamber jet ignition technologies have been garnering significant interest in the internal combustion engine field, given their potential to deliver shorter burn durations, increased combustion stability, and improved dilution tolerance. However, a clear understanding of the relationship between pre-chamber geometry, operating condition, jet formation, and engine performance in light-duty gasoline injection engines remains under-explored. Moreover, research specifically focusing on high dilution levels and passive pre-chambers with optical accessibility is notably scarce. This study serves to bridge these knowledge gaps by examining the influence of passive pre-chamber nozzle diameter and dilution level on jet formation and engine performance. Utilizing a modified constant-volume gasoline direct injection engine with an optically accessible piston, we tested three passive pre-chambers with nozzle diameters of 1.2, 1.4, and 1.6 mm, while nitrogen dilution varied from 0 to 20%. With the help of high-speed imaging, we captured pre-chamber jet formations and subsequent flame propagation within the main chamber. Our novel findings reveal that asymmetric temporal and spatial jet formation patterns arising from pre-chambers significantly impact engine performance. The larger-nozzle-diameter pre-chambers exhibited the least variation in jet formation due to their improved scavenging and main mixture filling processes, but had the slowest jet velocity and lowest jet penetration depth. At no dilution condition, the 1.2 mm-PC demonstrated superior performance attributed to higher pressure build-up in the pre-chamber, resulting in accelerated jet velocity and increased jet penetration depth. However, at high dilution condition, the 1.6 mm-PC performed better, highlighting the importance of scavenging and symmetry jet formation. This study emphasizes the importance of carefully selecting the pre-chamber nozzle diameter, based on the engine’s operating conditions, to achieve an optimal and balanced configuration that can improve both jet formation and jet characteristics, as well as scavenging.
预燃烧室喷射点火技术在内燃机领域引起了极大的兴趣,因为它具有更短的燃烧持续时间、更高的燃烧稳定性和更好的稀释容忍度。然而,对于轻型汽油喷射发动机的预燃室几何形状、工作条件、射流形成和发动机性能之间的关系,目前还没有明确的认识。此外,专门针对高稀释水平和具有光学可及性的被动预室的研究非常少。本研究旨在通过研究被动预室喷嘴直径和稀释水平对射流形成和发动机性能的影响来弥合这些知识差距。我们使用一种带有光学可及活塞的改进的等体积汽油直喷发动机,测试了三个喷嘴直径分别为1.2、1.4和1.6 mm的被动预室,氮气稀释度从0到20%不等。在高速成像技术的帮助下,我们捕捉到了燃烧室前射流的形成和随后的火焰在主燃烧室内的传播。我们的新发现表明,由预室引起的非对称时间和空间射流形成模式会显著影响发动机的性能。喷嘴直径较大的预室由于改善了扫气和主要混合填充工艺,其射流形成变化最小,但射流速度最慢,射流穿透深度最低。在无稀释条件下,1.2 mm-PC表现出优越的性能,这是由于预腔内压力增加,导致射流速度加快,射流穿透深度增加。然而,在高稀释条件下,1.6 mm-PC表现更好,突出了清除和对称射流形成的重要性。这项研究强调了根据发动机的工作条件仔细选择预室喷管直径的重要性,以实现最佳和平衡的配置,既可以改善射流形成和射流特性,又可以改善扫气。
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引用次数: 1
Artificial Intelligence Strategies for the Development of Robust Virtual Sensors: An Industrial Case for Transient Particle Emissions in a High-Performance Engine 开发鲁棒虚拟传感器的人工智能策略:高性能发动机瞬态粒子排放的工业案例
Q2 Engineering Pub Date : 2023-09-08 DOI: 10.4271/03-17-02-0014
Leonardo Pulga, Claudio Forte, Alfio Siliato, Emanuele Giovannardi, Roberto Tonelli, Ioannis Kitsopanidis, Gian Marco Bianchi
The use of data-driven algorithms for the integration or substitution of current production sensors is becoming a consolidated trend in research and development in the automotive field. Due to the large number of variables and scenarios to consider; however, it is of paramount importance to define a consistent methodology accounting for uncertainty evaluations and preprocessing steps, that are often overlooked in naïve implementations. Among the potential applications, the use of virtual sensors for the analysis of solid emissions in transient cycles is particularly appealing for industrial applications, considering the new legislations scenario and the fact that, to our best knowledge, no robust models have been previously developed. In the present work, the authors present a detailed overview of the problematics arising in the development of a virtual sensor, with particular focus on the transient particulate number (diameter &lt;10 nm) emissions, overcome by leveraging data-driven algorithms and a profound knowledge of the underlying physical limitations. The workflow has been tested and validated using a complete dataset composed of more than 30 full driving cycles obtained from industrial experimentations, underlying the importance of each step and its possible variations. The final results show that a reliable model for transient particulate number emissions is possible and the accuracy reached is compatible with the intrinsic cycle to cycle variability of the phenomenon, while ensuring control over the quality of the predicted values, in order to provide valuable insight for the actions to perform.
使用数据驱动算法集成或替代当前的生产传感器正在成为汽车领域研究和开发的巩固趋势。由于需要考虑的变量和场景较多;然而,定义一个考虑不确定性评估和预处理步骤的一致方法是至关重要的,这在naïve实现中经常被忽视。在潜在的应用中,使用虚拟传感器分析瞬态循环中的固体排放对工业应用特别有吸引力,考虑到新的立法情景和事实,据我们所知,以前没有开发出强大的模型。在目前的工作中,作者详细概述了虚拟传感器开发中出现的问题,特别关注瞬态颗粒数(直径< 10nm)发射,通过利用数据驱动算法和对潜在物理限制的深刻了解来克服。该工作流程已使用由工业实验获得的30多个完整驾驶循环组成的完整数据集进行了测试和验证,从而揭示了每个步骤的重要性及其可能的变化。最终结果表明,建立可靠的瞬态颗粒数排放模型是可能的,所达到的精度与该现象的内在周期到周期变异性相兼容,同时确保对预测值质量的控制,以便为执行行动提供有价值的见解。
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引用次数: 0
Fuel Effects on the Onset of Knock and the Intensity of Superknock at Stochastic Preignition-Relevant Engine Conditions 在随机预燃相关发动机条件下,燃料对爆震开始和超爆震强度的影响
IF 1.2 Q2 Engineering Pub Date : 2023-09-05 DOI: 10.4271/03-17-02-0010
Xin Yu, Vincent Costanzo, Elana Chapman, Richard Davis
To have a more complete understanding of the fuel effects on each subsequent stage of a stochastic preignition event in a spark-ignition engine and to build on the previous work of understanding the propensity of fuel to initiate and sustain a preignition flame, this work is focused on examining the role of fuel on the onset of knock and the intensity of superknock once the unburned mixture reaches certain conditions ahead of the preignition flame. Using a “skip advance” spark test method to simulate preignition flames initiated at different cylinder conditions, more than 20 single- and multicomponent fuels were ranked based on the condition required to reach the onset of knock (the start of end-gas autoignition) and the condition that leads to severe superknock intensities. It was found that average knock intensity can be mainly explained by the unburn mixture fraction and the thermodynamic condition of the unburned mixture and, not surprisingly, that the fuel ranking for the onset of knock and superknock based on average knock intensity is correlated to octane index. However, outlier cycles with extremely high knock intensities cannot be fully explained by the average cycle behavior. More interestingly, different fuels exhibit different superknock characteristics. Some fuels, such as toluene, have fewer extreme cycles once the same average knock intensity condition is reached, whereas other fuels, such as ethanol, have more extreme cycles that tend to break engine hardware in a single cycle event. A preliminary study based on the modes of reaction front propagation show that fuels with low-temperature heat release and negative temperature coefficient (NTC) behavior can lead to a higher propensity to produce extreme knock intensities when coupled with the right in-cylinder pressure wave.
为了更全面地了解燃料对火花点火发动机随机预燃事件每个后续阶段的影响,并在之前了解燃料启动和维持预燃火焰的倾向的基础上,本工作的重点是研究燃料在爆震发生和超爆震强度方面的作用,一旦未燃烧的混合物达到预燃火焰之前的特定条件。使用“提前跳过”火花测试方法来模拟在不同气缸条件下引发的预燃火焰,根据达到爆震开始所需的条件(末端气体自燃的开始)和导致严重超爆震强度的条件,对20多种单组分和多组分燃料进行了排名。研究发现,平均爆震强度主要由未燃混合气馏分和未燃混合气的热力学条件来解释,而基于平均爆震强度的燃料爆震和超爆震的发生等级与辛烷值指数相关。然而,具有极高爆震强度的异常循环不能完全用平均循环行为来解释。更有趣的是,不同的燃料表现出不同的超爆特性。一些燃料,如甲苯,一旦达到相同的平均爆震强度条件,极端循环次数就会减少,而其他燃料,如乙醇,则有更多的极端循环,往往会在一次循环事件中破坏发动机硬件。基于反应前沿传播模式的初步研究表明,具有低温放热和负温度系数(NTC)行为的燃料在与合适的缸内压力波耦合时,会导致更高的极端爆震倾向。
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SAE International Journal of Engines
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