Open Access
ARTICLE
On the Design and Optimization of a Clean and Efficient Combustion Mode for Internal Combustion Engines through a Computer NSGA-II Algorithm
Xiaobin Shu, Miaomiao Ren*
Luohe Vocational College of Food, Luohe, 462300, China
* Corresponding Author: Miaomiao Ren. Email:
Fluid Dynamics & Materials Processing 2020, 16(5), 1019-1029. https://doi.org/10.32604/fdmp.2020.09564
Received 24 January 2020; Accepted 03 August 2020; Issue published 09 October 2020
Abstract
In order to address typical problems due to the huge demand of oil for
consumption in traditional internal combustion engines, a new more efficient
combustion mode is proposed and studied in the framework of Computational
Fluid Dynamics (CFD). Moreover, a Non-dominated Sorting Genetic Algorithm
(NSGA-II) is applied to optimize the related parameters, namely, the engine
methanol ratio, the fuel injection time, the initial temperature, the Exhaust Gas
Re-Circulation (EGR) rate, and the initial pressure. The so-called Conventional
Diesel Combustion (CDC), Homogeneous Charge Compression Ignition (HCCI)
and the Reactivity Controlled Compression Ignition (RCCI) combustion modes
are compared. The results show that RCCI has a higher methanol ratio and an
earlier injection timing with moderate EGR rate and higher initial pressure. The
initial temperature increases as the methanol ratio increases. In comparison,
CDC has the lowest hydrocarbon and CO emissions and the highest combustion
efficiency. At different crankshaft rotation angles corresponding to 50% of the
combustion amount (CA50), the combustion temperature and boundary layer temperature of HCCI change significantly, while those of RCCI undergo limited
variations. At the same CA50, the exergy losses of HCCI and RCCI are lower
than that of the CDC. On the basis of these findings, it can be concluded that
the methanol/diesel RCCI engine can be used to obtain a clean and efficient combustion process, which should be regarded as a promising combustion mode.
Keywords
Cite This Article
Shu, X., Ren, M. (2020). On the Design and Optimization of a Clean and Efficient Combustion Mode for Internal Combustion Engines through a Computer NSGA-II Algorithm.
FDMP-Fluid Dynamics & Materials Processing, 16(5), 1019–1029. https://doi.org/10.32604/fdmp.2020.09564