Ignition Delay Time − an Important Fuel Property

Петрухин, Н. В.; Grishin, N. N.; Сергеев, С. М.

doi:10.1007/s10553-016-0642-0

Cited by 20 publications

(16 citation statements)

References 1 publication

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“…For successful flame development, t delay offers an effective way to evaluate the physicochemical property of a combustible fuel−air mixture [25,[35][36][37]. T delay is defined as the time duration from the start ignition command to 10% of the total normalized cumulative heat release (NCHR) in which t delay could be affected by E ig .…”

Section: Ignition Delay Time (T Delay ) and Flame Rising Time (T Risi...mentioning

confidence: 99%

“…To quantify the explosion duration characteristics, many researchers investigated ignition delay time (lag duration) and flame rising time (fast burn duration) [22,[25][26][27]. The ignition delay time (t delay ) is the time duration between the start of spark command and the instant of appearance of pressure [22,25] or 10% of the total normalized cumulative heat release (NCHR) [26]. The flame rising time (t rising ) is defined as the time duration from 10% to 90% of the total NCHR [26].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Ignition Energy and Hydrogen Addition on Laminar Flame Speed, Ignition Delay Time, and Flame Rising Time of Lean Methane/Air Mixtures

et al. 2022

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A series of experiments were performed to investigate the effect of ignition energy (Eig) and hydrogen addition on the laminar burning velocity (Su0), ignition delay time (tdelay), and flame rising time (trising) of lean methane−air mixtures. The mixtures at three different equivalence ratios (ϕ) of 0.6, 0.7, and 0.8 with varying hydrogen volume fractions from 0 to 50% were centrally ignited in a constant volume combustion chamber by a pair of pin-to-pin electrodes at a spark gap of 2.0 mm. In situ ignition energy (Eig ∼2.4 mJ ÷ 58 mJ) was calculated by integration of the product of current and voltage between positive and negative electrodes. The result revealed that the Su0 value increases non-linearly with increasing hydrogen fraction at three equivalence ratios of 0.6, 0.7, and 0.8, by which the increasing slope of Su0 changes from gradual to drastic when the hydrogen fraction is greater than 20%. tdelay and trising decrease quickly with increasing hydrogen fraction; however, trising drops faster than tdelay at ϕ = 0.6 and 0.7, and the reverse is true at ϕ = 0.8. Furthermore, tdelay transition is observed when Eig > Eig,critical, by which tdelay drastically drops in the pre-transition and gradually decreases in the post-transition. These results may be relevant to spark ignition engines operated under lean-burn conditions.

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Section: Ignition Delay Time (T Delay ) and Flame Rising Time (T Risi...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Ignition Energy and Hydrogen Addition on Laminar Flame Speed, Ignition Delay Time, and Flame Rising Time of Lean Methane/Air Mixtures

et al. 2022

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“…As a key physico-chemical property of a specific mixture [48], the IDT is an important measure for determining if the kinetic mechanism is accurately predicting the onset of combustion correctly or not. The ignition strongly controls the successive combustion process, which is why it is commonly used as a target for kinetic mechanisms in both validation and optimization.…”

Section: Test Case 1: Ignition Delay Time For Non-conventional Conditions In a Plug Flow Reactormentioning

confidence: 99%

OptiSMOKE++: A toolbox for optimization of chemical kinetic mechanisms

Fürst

Bertolino

Cuoci

et al. 2021

Computer Physics Communications

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As detailed chemical mechanisms are becoming viable for large scale simulations, knowledge and control of the uncertainty correlated to the kinetic parameters are becoming crucial to ensure accurate numerical predictions. A flexible toolbox for the optimization of chemical kinetics has therefore been developed in this work. The toolbox is able to use different optimization methodologies, as well as it can handle a large amount of uncertain parameters simultaneously. It can also handle experimental targets from different sources: Batch reactors, Plug Flow Reactors, Perfectly Stirred Reactors, Rapid Compression Machines and Laminar Flame Speeds. This work presents the different features of this toolbox together with five different test cases which exemplifies these features.

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“…Hence, the application of the TMDQD algorithm for the analysis of these processes was recommended for such applications . For example, processes preceding the onset of combustion are in the range of 2–6 ms during the idle speed range of ICE; , this range is shorter (0.1–1.5 ms) in rapid compression diesel engines . The CPU times and relevant errors are illustrated in Figure .…”

Section: Autoselection Of Quasi-componentsmentioning

confidence: 99%

Heating and Evaporation of Droplets of Multicomponent and Blended Fuels: A Review of Recent Modeling Approaches

et al. 2021

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In this review, recent models for the heating/evaporation of multicomponent and blended fuel droplets and their implementation into numerical codes, used for the analysis of the processes in internal combustion engines, are reviewed. In these models, the diffusion of species, recirculation, and temperature gradient inside droplets are considered. The focus of the review is on the group of models based on the implementation of the analytical solutions to the heat transfer and species diffusion equations inside droplets into numerical codes. Four key aspects are summarized: (1) application of the Discrete Component (DC) model and the Multi-Dimensional Quasi-Discrete Model (MDQDM) to a broad range of fuels, including petrol, diesel, ethanol, and biodiesel fuels and their blends, (2) formulation of fuel surrogates, with a focus on the recently introduced Complex Fuel Surrogate Model (CFSM), (3) overview of the recently introduced transient algorithm, Transient Multi-Dimensional Quasi-Discrete Model (TMDQDM), for an autogeneration of quasi-components, and (4) implementation of the latter into a computational fluid dynamics (CFD) code for a realistic engineering application to full cycle simulation in internal combustion engines. The original and modified versions of the DC model and MDQDM are evaluated for the heating and evaporation of droplets of bio/fossil-fuel (e.g., ethanol/petrol/biodiesel/diesel) blends. These were implemented into commercial CFD software and validated. The feasibility of formulating complex fuel surrogates for fuel blends, their implementation into CFD codes, and their application in the full engine cycle simulation before and after the onset of combustion (autoignition) are described.

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Ignition Delay Time − an Important Fuel Property

Cited by 20 publications

References 1 publication

Effect of Ignition Energy and Hydrogen Addition on Laminar Flame Speed, Ignition Delay Time, and Flame Rising Time of Lean Methane/Air Mixtures

Effect of Ignition Energy and Hydrogen Addition on Laminar Flame Speed, Ignition Delay Time, and Flame Rising Time of Lean Methane/Air Mixtures

OptiSMOKE++: A toolbox for optimization of chemical kinetic mechanisms

Heating and Evaporation of Droplets of Multicomponent and Blended Fuels: A Review of Recent Modeling Approaches

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