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Duct Shape Design Technology Based on Evolutionary Algorithm Considering Noise Attenuation Performance and Air Permeability
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机译：Duct Shape Design Technology Based on Evolutionary Algorithm Considering Noise Attenuation Performance and Air Permeability
This paper relates to a technique for designing the engine room of a hydraulic excavator equipped with an Integrated Noise Dust Reduction (iNDr) cooling system. In order to improve the noise attenuation performance, changes in cross-sectional area and bends have been introduced into the muffler duct of the iNDr structure. On the other hand, changes in cross-sectional area and bending will deteriorate the air permeability and decrease the cooling capacity. Thus, in a muffler duct, the air permeability of the cooling air and noise attenuation performance are in a trade-off relationship. Against this backdrop, an optimum design technology has been developed using a multi-objective genetic algorithm (MOGA) to achieve both air permeability and noise attenuation performance in the intake duct of the iNDr structure of the engine room. This technology has enabled the design of an engine-room shape taking both the air permeability and noise attenuation performance into account.
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