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Numerical simulation and optimization analysis of anti-/de-icing component of helicopter rotor based on big data analytics

  • Long Chen
  • , Yidu Zhang
  • , Qiong Wu*
  • , Zhengsheng Chen
  • , Youyun Peng
  • *Corresponding author for this work
  • Beihang University
  • AVIC Changhe Aircraft Industry Co. Ltd.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationTheory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - 16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016, Proceedings
EditorsLin Zhang, Xiao Song, Yunjie Wu
PublisherSpringer Verlag
Pages585-601
Number of pages17
ISBN (Print)9789811026683
DOIs
StatePublished - 2016
Event16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016 - Beijing, China
Duration: 8 Oct 201611 Oct 2016

Publication series

NameCommunications in Computer and Information Science
Volume645
ISSN (Print)1865-0929

Conference

Conference16th Asia Simulation Conference and SCS Autumn Simulation Multi-Conference, AsiaSim/SCS AutumnSim 2016
Country/TerritoryChina
CityBeijing
Period8/10/1611/10/16

Keywords

  • Big data analytics
  • Composite material anti-/de-icing component
  • Finite element numerical simulation
  • Optimization method
  • Temperature field

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