2018
DOI: 10.1115/1.4041676
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Numerical and Experimental Investigation on an Effusion-Cooled Lean Burn Aeronautical Combustor: Aerothermal Field and Emissions

Abstract: Lean burn combustion is increasing its popularity in the aeronautical framework due to its potential in reducing drastically pollutant emissions (NOx and soot in particular). Its implementation, however, involves significant issues related to the increased amount of air dedicated to the combustion process, demanding the redesign of injection and cooling systems. Also, the conditions at the combustor exit are a concern, as high turbulence, residual swirl, and the impossibility to adjust the temperature profile … Show more

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Cited by 9 publications
(10 citation statements)
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“…Measurement points were located in selected sectors at different angular positions and grouped to obtain a tangential distribution for a single ideal sector. A traverse system was used at the combustor exit to sample the gas emissions and analyse the temperature pattern (see Figure 3), which however are not the objective of this work and were better discussed in a previous work focused on the prediction of the aerothermal field with Scale-Adaptive Simulation (SAS) [25].…”
Section: Experimental Test Case Lemcotec Combustormentioning
confidence: 99%
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“…Measurement points were located in selected sectors at different angular positions and grouped to obtain a tangential distribution for a single ideal sector. A traverse system was used at the combustor exit to sample the gas emissions and analyse the temperature pattern (see Figure 3), which however are not the objective of this work and were better discussed in a previous work focused on the prediction of the aerothermal field with Scale-Adaptive Simulation (SAS) [25].…”
Section: Experimental Test Case Lemcotec Combustormentioning
confidence: 99%
“…As above mentioned, scale resolution in SAS has not an explicit dependency on grid spacing. However, its adequacy in the prediction of aerothermal field was widely evaluated in [25] where a grid sensitive study was carried out. As in the near-wall region the SAS model behaves as a RANS k-ω SST model, to exploit a wall function approach [27] the mesh counts 3 prismatic layers at wall and a y+ in the range of applicability for this wall treatment.…”
Section: Computational Gridsmentioning
confidence: 99%
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