SENKIN

SENKIN: A Fortran program for predicting homogeneous gas phase chemical kinetics with sensitivity analysis. SENKIN is a Fortran computer program that computes the time evolution of a homogeneous reacting gas mixture in a closed system. The model accounts for finite-rate elementary chemical reactions, and performs kinetic sensitivity analysis with respect to the reaction rates. The program considers five problem types: an adiabatic system with constant pressure; an adiabatic system with constant volume; an adiabatic system with the volume a specified function of time; a system where the pressure and temperature are constant; and a system where the pressure is constant and the temperature is a specified function of time. The program uses the DASAC software to solve both the nonlinear ordinary differential equations that describe the temperature and species mass fractions and the set of linear differential equations that describe the first-order sensitivity coefficients of temperature and species composition with respect to the individual reaction rates. The program runs in conjunction with the CHEMKIN package, which handles the chemical reaction mechanism.


References in zbMATH (referenced in 25 articles )

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  1. Yu, Jin; Wang, Zijun; Zhuo, Xiaofang; Gou, Xiaolong: Surrogate definition and homogeneous chemical kinetic model for two alkane-rich FACE gasoline fuels (2019)
  2. Li, Hui; Jia, Shuqin; Zhao, Tianliang; Huai, Ying: Skeletal and reduced chemical mechanism for hydrogen fluoride chemical laser (2018)
  3. Liu, Zaigang; Han, Wenhu; Kong, Wenjun; Ju, Yiguang: LES modelling of turbulent non-premixed jet flames with correlated dynamic adaptive chemistry (2018)
  4. Valkó, É.; Varga, T.; Tomlin, A. S.; Busai, Á.; Turányi, T.: Investigation of the effect of correlated uncertain rate parameters via the calculation of global and local sensitivity indices (2018)
  5. Yao, Tong; Yang, Wen Hao; Luo, Kai Hong: Direct numerical simulation study of hydrogen/air auto-ignition in turbulent mixing layer at elevated pressures (2018)
  6. Li, Jing; Yang, Wenming; An, Hui; Zhou, Dezhi: Soot and NO emissions control in a natural gas/diesel fuelled RCCI engine by (\varphi)-T map analysis (2017)
  7. Wang, Wei; Gou, Xiaolong: An improved path flux analysis with multi generations method for mechanism reduction (2016)
  8. Fischer, Marc; Riedel, Uwe: Combustion chemistry and parameter estimation (2013)
  9. Jangi, Mehdi; Bai, Xue-Song: Multidimensional chemistry coordinate mapping approach for combustion modelling with finite-rate chemistry (2012)
  10. Jangi, M.; Yu, R.; Bai, X. S.: A multi-zone chemistry mapping approach for direct numerical simulation of auto-ignition and flame propagation in a constant volume enclosure (2012)
  11. Karagiannidis, Symeon; Mantzaras, John: Numerical investigation on the hydrogen-assisted start-up of methane-fueled, catalytic microreactors (2012)
  12. Dhuchakallaya, I.; Watkins, A. P.: Auto-ignition of diesel spray using the PDF-eddy break-up model (2010)
  13. Zhukov, Victor P.: Kinetic model of alkane oxidation at high pressure from methane to (n)-heptane (2009)
  14. Brandt, Martin; Polifke, Wolfgang; Flohr, Peter: Approximation of joint PDFs by discrete distributions generated with Monte Carlo methods (2006)
  15. Lefantzi, Sophia; Ray, Jaideep; Kennedy, Christopher A.; Najm, Habib N.: A component-based toolkit for simulating reacting flows with high order spatial discretisations on structured adaptively refined meshes (2005)
  16. Sankaran, R.; Im, H. G.: Characteristics of auto-ignition in a stratified iso-octane mixture with exhaust gases under homogeneous charge compression ignition conditions (2005)
  17. Zsély, I. Gy.; Zádor, J.; Turányi, T.: On the similarity of the sensitivity functions of methane combustion models (2005)
  18. Bhave, Amit; Kraft, Markus: Partially stirred reactor model: Analytical solutions and numerical convergence study of a PDF/Monte Carlo method (2004)
  19. Kraft, Markus; Wagner, Wolfgang: An improved stochastic algorithm for temperature-dependent homogeneous gas phase reactions. (2003)
  20. Kraft, M.; Wagner, W.: Numerical study of a stochastic particle method for homogeneous gas-phase reactions. (2003)

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