Application of High Performance Computing for Simulating Cycle-to-Cycle Variation in Dual-Fuel Combustion Engines

Jupudi, Ravichandra S.; Finney, Charles E. A.; Primus, Roy J.; Wijeyakulasuriya, Sameera; Klingbeil, Adam; Tamma, Bhaskar; Stoyanov, Miroslav

doi:10.4271/2016-01-0798

Cited by 19 publications

(18 citation statements)

References 27 publications

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“…The predicted peak value of COV of in-cylinder pressure by continuous series of nine full cycle simulations is 2.1 compared to 3.3 in the experiment. The open cycle predicted COV variation is found to be better than the corresponding prediction from parallel closed cycle simulations [1].…”

Section: Discussionmentioning

confidence: 90%

“…Usually, CCV in the DF case is higher compared to 100% diesel cases [1]. The objective of the current work is to understand and quantify the effect of stochastic nature of pre-mixing of air and NG, naturally induced stratification in temperature, turbulence and internal residuals from the prior cycle on the CCV of pressure in the DF case.…”

Section: Resultsmentioning

confidence: 99%

“…This signifies the fact that temperature stratification is one of the factors for the predicted CCV. Figure 9 shows a comparison of the COV of in-cylinder pressure as a function of crank angle during the main combustion event from the current study, from experimental data and from the earlier work [1]. In [1], several parallel closed cycle simulations were performed with perturbations on boundary and initial conditions.…”

Section: Resultsmentioning

confidence: 99%

“…Figure 9 shows a comparison of the COV of in-cylinder pressure as a function of crank angle during the main combustion event from the current study, from experimental data and from the earlier work [1]. In [1], several parallel closed cycle simulations were performed with perturbations on boundary and initial conditions. It can be observed from Figure 9, that the COV predicted from the present sequential full cycle simulations is closer to the experiment than that from the previous work reported in [1].…”

Section: Resultsmentioning

confidence: 99%

“…In [1], several parallel closed cycle simulations were performed with perturbations on boundary and initial conditions. It can be observed from Figure 9, that the COV predicted from the present sequential full cycle simulations is closer to the experiment than that from the previous work reported in [1]. The predicted peak value of COV is 2.1 which occurs at 11 crank angle degrees ATDC.…”

Section: Resultsmentioning

confidence: 99%

See 4 more Smart Citations

Cycle to Cycle Variation Study in a Dual Fuel Operated Engine

Pasunurthi¹,

Jupudi²,

Wijeyakulasuriya³

et al. 2017

SAE Technical Paper Series

Self Cite

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Section: Discussionmentioning

confidence: 90%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Cycle to Cycle Variation Study in a Dual Fuel Operated Engine

Pasunurthi¹,

Jupudi²,

Wijeyakulasuriya³

et al. 2017

SAE Technical Paper Series

Self Cite

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Cyclic Combustion Variations in Diesel–Natural Gas Dual Fuel Engines

Srinivasan

Krishnan

Jha

et al. 2018

Energy, Environment, and Sustainability

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Cycle-to-cycle variations of dual-fuel combustion in an optically accessible engine

et al. 2019

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Cyclic variations constitute an inherent consequence of the flow, thermal and concentration field variations between cycles. They are understood to lead to lower efficiency and higher emissions. The current investigation aims to evaluate the cycle-to-cycle variations (CCVs) based on 2D visualization and cylinder pressure in an optically accessible heavy-duty engine fueled with methane (main fuel) and diesel (pilot fuel). A high-speed color camera is employed to measure the combustion behavior based on natural luminosity (NL). Proper orthogonal decomposition (POD) is applied to reconstruct and analyze the images. The POD-based coefficient of variation (COV) is implemented to evaluate the cyclic variability, along with the pressure-based and global intensity-based COV. This coefficient is then adopted to discriminate the coherent and incoherent parts from the fluctuations in the luminosity field. The POD-based and global intensity-based COV presents the variations in the luminosity field, which can provide information on chemical kinetics, while pressure-based COV provides a general description of the cyclic fluctuation of thermodynamics. To extract more information from the NL images, the color-intensity COV analysis based on the intensity separated from RGB channels is adopted to estimate the CCVs from the aspect of spectral emissions (excited and ionized radicals in the flame). Finally, the effects of methane lambda, pilot fuel rate and charge air temperature on the CCVs were analyzed systematically. The results revealed that richer methane conditions has an inhibitive effect on the CCVs. The appearance of the CCVs were determined by the ignition characteristics of the pilot fuel. A critical point was found in charge air temperature, when the charge air temperature lower than the critical point, the increase of the charge air temperature has a promotive effect on the CCVs; after that, it has an inhibitive effect on the CCVs.

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Application of High Performance Computing for Simulating Cycle-to-Cycle Variation in Dual-Fuel Combustion Engines

Cited by 19 publications

References 27 publications

Cycle to Cycle Variation Study in a Dual Fuel Operated Engine

Cycle to Cycle Variation Study in a Dual Fuel Operated Engine

Cyclic Combustion Variations in Diesel–Natural Gas Dual Fuel Engines

Cycle-to-cycle variations of dual-fuel combustion in an optically accessible engine

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