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Multi-field coupling optimization of anti-icing component for helicopter rotor based on big data

  • Long Chen
  • , Yidu Zhang
  • , Qiong Wu
  • , Zhengsheng Chen
  • , Youyun Peng
  • Beihang University
  • AVIC Changhe Aircraft Industry Co. Ltd.

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Considering the multivariable influence on the temperature field of anti-icing component, a numerical simulation model coupling multi-field for helicopter rotor anti-icing composite structure component under big data environment was presented. The multi-parameters were the main influencing factors in heat transfer numerical simulation. Convective heat transfer and heat conduction coupling was analysis for temperature field of anti-icing component. The traditional orthogonal design method was used as optimization program for analyzing of temperature field optimization of composite material for anti-icing structure. The temperature field distribution of the iron surface after optimization meets the requirements of the relevant anti-icing parameters. Thus, based on the big data environment, the optimization effect of the parameters of the rotor anti-icing component is more ideal. The average temperature and high temperature distribution change after optimization indicate that the optimized anti-icing effect is more evident than the original anti-icing effect which means the optimization performs well.

源语言英语
主期刊名2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017
出版商Institute of Electrical and Electronics Engineers Inc.
468-472
页数5
ISBN(电子版)9781509036189
DOI
出版状态已出版 - 20 10月 2017
活动2nd IEEE International Conference on Big Data Analysis, ICBDA 2017 - Beijing, 中国
期限: 10 3月 201712 3月 2017

出版系列

姓名2017 IEEE 2nd International Conference on Big Data Analysis, ICBDA 2017

会议

会议2nd IEEE International Conference on Big Data Analysis, ICBDA 2017
国家/地区中国
Beijing
时期10/03/1712/03/17

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