MAP | CALMAIL |
Combustion Modeling Lab at UC Berkeley

Current Research

Automation of reduced chemical mechanism development by the Computer Assisted Reduction Method (CARM)


Yulin Chen (CML)


Introduction

The Computer Assisted Reduction Method (CARM) developed by Professor Jyh-Yuan Chen's research group is a package for automatically reducing chemical kinetic mechanisms involving the graph-based (DRG-based and DRGEP-based) methods, Target Search Algorithm (TSA), Quasi-Steady-State-Assumption (QSSA) approach, etc. The current studies are conducted including the algorithm improvements and application for transportation fuel reduction under specific target conditions.

Recently, the DRGEP-based methods, which are efficient as the first-cut skeletal reduction for large detailed chemical mechanisms, are further improved by using a Jacobian definition for evaluating the direct interaction coefficient (DIC) between a pair of species. Simultaneously, advanced graph search algorithms such as the Dijkstra's algoritm and the A-star algorithm, are applied to study their effects on the Jacobian DIC. The results showed that the newly devised approach can largely improve the reduction performance compared to other DRGEP-based methods. By implementing different graph search algorithms, the accuracy of the generated skeletal mechanisms can be significantly changed through altering the species ranking in the lists.

Related papers

Yulin Chen, Jyh-Yuan Chen, "Application of Jacobian defined direct interaction coefficient in DRGEP-based chemical mechanism reduction methods using different graph search algorithms," Combustion and Flame 174(2016), pp 77-84.

Yulin Chen, Benjamin Wolk, Marco Mehl, Wai K. Cheng, Jyh-Yuan Chen, Robert W. Dibble, "Development of a reduced chemical mechanism targeted for a 5-component gasoline surrogate: A case study on the heat release nature in a GCI engine," Combustion and Flame 178(2017), pp 268-276.