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Image-based reconstruction for a 3D-PFHS heat transfer problem by ReConNN

机译：基于图像的ReConNN重建3D-PFHS传热问题

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摘要

The heat transfer performance of Plate Fin Heat Sink (PFHS) has been investigated experimentally and extensively. Commonly, the objective function of the PFHS design is based on the responses of simulations. Compared with existing studies, the purpose of this study is to transfer from analysis-based model to image-based one for heat sink designs. Compared with the popular objective function based on maximum, mean, variance values, etc., more information should be involved in image-based and thus a more objective model should be constructed. It means that the sequential optimization should be based on images instead of responses and more reasonable solutions should be obtained. Therefore, an image based reconstruction model of a heat transfer process for a 3D-PFHS is established. Unlike image recognition, such procedure cannot be implemented by existing recognition algorithms (e.g. Convolutional Neural Network) directly. Therefore, a Reconstructive Neural Network (ReConNN), integrated supervised learning and unsupervised learning techniques, is suggested and improved to achieve higher accuracy. According to the experimental results, the heat transfer process can be observed more detailed and clearly, and the reconstructed results are meaningful for the further optimizations. (C) 2019 Elsevier Ltd. All rights reserved.
机译：板翅式散热器（PFHS）的传热性能已通过实验和广泛研究。通常，PFHS设计的目标功能是基于仿真的响应。与现有研究相比，本研究的目的是将散热器设计从基于分析的模型转换为基于图像的模型。与基于最大值，均值，方差值等的流行目标函数相比，基于图像的信息应更多，因此应构建更客观的模型。这意味着顺序优化应该基于图像而不是响应，并且应该获得更合理的解决方案。因此，建立了用于3D-PFHS的传热过程的基于图像的重建模型。与图像识别不同，这种过程无法直接通过现有的识别算法（例如卷积神经网络）实现。因此，建议并改进了一种重构神经网络（ReConNN），它集成了监督学习和无监督学习技术，以实现更高的准确性。根据实验结果，可以更详细，清楚地观察到传热过程，并且重建的结果对于进一步优化是有意义的。 （C）2019 Elsevier Ltd.保留所有权利。

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  • 来源
  • 作者

    Li Yu; Wang Hu; Deng Xinjian;

  • 作者单位

    Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China;

    Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China;

    Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ReConNN; PFHS; Heat transfer; Reconstruction; Image-based;

    机译：ReConNN;PFHS;传热;重建;基于图像;

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