Pereira, F. N. published the artcileObtaining a reduced kinetic mechanism for methyl decanoate using layerless neural networks, Product Details of C11H22O2, the main research area is reduced kinetic methyl decanoate layerless neural network.
Major efforts in the search for techniques for the development of reduced kinetic mechanisms for biodiesel were observed, since these mechanisms may have thousands of species. This paper proposes a reduction strategy and presents the development of a reduced kinetic mechanism for piloted jet diffusion flame of Me decanoate (MD). The strategy consists of applying the DRG, Directed Relation Graph, technique for initial reduction, and the use of Layerless Neural Network (LNN) to define the main chain and obtain a skeletal mechanism. Hence the hypotheses of steady-state and partial equilibrium are applied, and the assumptions are justified by an asymptotic anal. The main advantage of the strategy is to reduce the work required to solve the system of chem. equations by at least two orders of magnitude for MD, since the number of species is decreased in the same order.
Fuel published new progress about Biodiesel fuel. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Product Details of C11H22O2.
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