Simulation and optimization of emission performance of single cylinder engine based on NSGA-Ⅱ algorithm
Taking a single cylinder diesel engine as the research object,3D numerical simulation model combined with back propagation(BP)neural network and the second generation non-dominated sorting genetic algorithm(NSGA-Ⅱ)was used to optimize the injection parameters,so as to achieve the multi-objective optimization of the emission performance of the single cylinder diesel engine.Results show that compared with scheme A and scheme C,scheme B with equal weight balance of smoke and NOx emissions shows the best emission effect,with smoke and NOx emissions reduced by 18.9％ and 22.3％ respectively compared to the original machine emissions.
single cylinder machineemission performance optimizationinjection parameter
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