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- W2521786012 abstract "A numerical optimization method of helicopter rotor composite material anti-/de-icing component based on big data analytics was proposed. Considering the uneven distribution problem of the temperature field on the iron surface of the rotor composite material anti-/de-icing component, the multi-parameter heat transfer numerical simulation model of the rotor composite material anti-/de-icing component was established based on big data analytics. The environment of the composite material anti-/de-icing component was simplified. Linear heat conduction temperature field optimization method was proposed. The optimization program was determined by using orthogonal test method combined with the composite material anti-/de-icing component multi-parameter model. The optimized temperature field distribution on the iron surface of the composite material anti-/de-icing component meets the anti-/de-icing requirements through the finite element numerical simulation based on big data analytics of the rotor composite material anti-/de-icing component. Thus, the temperature field numerical simulation of the rotor composite material anti-/de-icing component with multi-parameter under a big data environment is effectively achieved. Simulation results show that the optimization effect is more evident than the non-optimized temperature distribution with the optimized results of the proposed method. Results verify the effectiveness of the proposed method." @default.
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- W2521786012 date "2016-01-01" @default.
- W2521786012 modified "2023-10-04" @default.
- W2521786012 title "Numerical Simulation and Optimization Analysis of Anti-/De-Icing Component of Helicopter Rotor Based on Big Data Analytics" @default.
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- W2521786012 doi "https://doi.org/10.1007/978-981-10-2669-0_63" @default.
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