A dataset for conduction heat transer and deep learning

Published: 25 June 2020| Version 1 | DOI: 10.17632/rw9yk3c559.1
Contributors:
Mohammad Edalatifar,
Mohammad Bagher Tavakoli,
Mohammad Ghalambaz,
Farbod Setoudeh

Description

Big data images for conduction heat transfer The related paper has been published here: M. Edalatifar, M.B. Tavakoli, M. Ghalambaz, F. Setoudeh, Using deep learning to learn physics of conduction heat transfer, Journal of Thermal Analysis and Calorimetry; 2020. https://doi.org/10.1007/s10973-020-09875-6 Steps to reproduce: The dataset is saved in two format, .npz for python and .mat for matlab. *.mat has large size, then it is compressed with winzip. ReadDataset_Python.py and ReadDataset_Matlab.m are examples of read data using python and matlab respectively. For use dataset in matlab download Dataset/HeatTransferPhenomena_35_58.zip, unzip it and then use ReadDataset_Matlab.m as an example. In case of python, download Dataset/HeatTransferPhenomena_35_58.npz and run ReadDataset_Python.py.

Files

Categories

Laplace Transformation, Conductive Heat Transfer, Convolutional Neural Network, Deep Learning

License