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A Numerical Study on the Geometry Optimization of Internal Flow Passage in the Common-rail Diesel Injector for Improving Injection Performance

커먼레일 디젤인젝터의 분사성능 개선을 위한 내부유로형상 최적화에 관한 수치적 연구

  • Moon, Seongjoon (Gas Engine System R&D Center, Korea Automotive Technology Institute) ;
  • Jeong, Soojin (Gas Engine System R&D Center, Korea Automotive Technology Institute) ;
  • Lee, Sangin (Department of Mechanical Engineering, Kongju National University) ;
  • Kim, Taehun (Division of Mechanical & Automotive Engineering, Masan University)
  • 문성준 (자동차부품연구원 동력시스템연구센터) ;
  • 정수진 (자동차부품연구원 동력시스템연구센터) ;
  • 이상인 (공주대학교 기계공학부) ;
  • 김태훈 (마산대학교 기계자동차공학부)
  • Received : 2013.07.19
  • Accepted : 2013.12.10
  • Published : 2014.03.01

Abstract

The common-rail injectors are the most critical component of the CRDI diesel engines that dominantly affect engine performances through high pressure injection with exact control. Thus, from now on the advanced combustion technologies for common-rail diesel injection engine require high performance fuel injectors. Accordingly, the previous studies on the numerical and experimental analysis of the diesel injector have focused on a optimum geometry to induce proper injection rate. In this study, computational predictions of performance of the diesel injector have been performed to evaluate internal flow characteristics for various needle lift and the spray pattern at the nozzle exit. To our knowledge, three-dimensional computational fluid dynamics (CFD) model of the internal flow passage of an entire injector duct including injection and return routes has never been studied. In this study, major design parameters concerning internal routes in the injector are optimized by using a CFD analysis and Response Surface Method (RSM). The computational prediction of the internal flow characteristics of the common-rail diesel injector was carried out by using STAR-CCM+7.06 code. In this work, computations were carried out under the assumption that the internal flow passage is a steady-state condition at the maximum needle lift. The design parameters are optimized by using the L16 orthogonal array and polynomial regression, local-approximation characteristics of RSM. Meanwhile, the optimum values are confirmed to be valid in 95% confidence and 5% significance level through analysis of variance (ANOVA). In addition, optimal design and prototype design were confirmed by calculating the injection quantities, resulting in the improvement of the injection performance by more than 54%.

Keywords

References

  1. C. Arcoumanis, H. Flora, M. Gavaises, J. M. Nouri, E. Abdul-Wahab and R. W. Horrocks, "Analysis of the Flow in the Nozzle of a Vertical Multi-hole Diesel Engine Injector," SAE 980811, 1998.
  2. C. Soteriou, R. Andrews and M. Smith, "Direct Injection Diesel Sprays and the Effect of Cavitation and Hydraulic Flip on Atomization," SAE 950080, 1995.
  3. M. C. Lai, P. H. Lu and J. H. Yoo, "Implications of 3-D Internal Flow Simulation on the Design of Inward-opening Pressure-swirl Injectors," SAE 2002-01-2698, 2002.
  4. J. W. Lee and K. D. Min, "A Study on Relation of Needle-nozzle Flow of Piezo-driven Injector by Eulerian-lagrangian Multi-phase Method," Transactions of KSAE, Vol.18, No.5, pp.108- 114, 2010.
  5. M. S. Chon, "Effect of Nozzle Hole Number on Fuel Spray and Emission Characteristics of High Pressure Diesel Injector," Journal of Ilass Korea, Vol.17, No.4, pp.210-215, 2012. https://doi.org/10.15435/JILASSKR.2012.17.4.210
  6. L. M. Rodriguez-Anton, J. Casanova-Kindelan and G. Tardajos, "High Pressure Physical Properties of Fluids used in Diesel Injection Systems," SAE 2000-01-2046, 2000.
  7. V. C. Sarre, S. C. Kong and R. D. Reitz, "Modeling the Effects of Injector Nozzle Geometry on Diesel Spray," SAE 1999-01-0912, 1999.
  8. S. Sibendu, I. R. Anita, E. L. Douglas and K. A. Suresh, "Effect of Nozzle Orifice Geometry on Spray, Combustion, and Emission Characteristics under Diesel Engine Conditions," Fuel, Vol.90, Issue 3, pp.1267-1276, 2011. https://doi.org/10.1016/j.fuel.2010.10.048
  9. T. Varady, R. R. Martin and J. Cox, "Reverse Engineering of Geometric Models: An Introduction," Computer-Aided Design, Vol.29, No.4, pp.255-268, 1997. https://doi.org/10.1016/S0010-4485(96)00054-1
  10. R. Myers, A. Khuri and W. Carter, "Response Surface Methodology: 1966-1988," Technometrics, Vol.31, No.2, pp.137-157, 1989.
  11. H. M. Raymond and C. M. Douglas, Response Surface Methodology Process and Product and Optimization Using Design Experiments, John Wiley & Sons, New Jersey, 1995.

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