A data driven deep neural network model for predicting boiling heat transfer in helical coils under high gravity

Journal article


Liang, X., Xie, Y., Day, R., Meng, X. and Wu, H. (2020). A data driven deep neural network model for predicting boiling heat transfer in helical coils under high gravity. International Journal of Heat and Mass Transfer . 166, p. 120743. https://doi.org/10.1016/j.ijheatmasstransfer.2020.120743
AuthorsLiang, X., Xie, Y., Day, R., Meng, X. and Wu, H.
Abstract

In this article, a deep artificial neural network (ANN) model has been proposed to predict the boiling heat transfer in helical coils under high gravity conditions, which is compared with experimental data. A test rig is set up to provide high gravity up to 11 g with a heat flux up to 15100 W/m 2 and the mass velocity range from 40 to 2000 kg m −2 s −1. In the current work, a total 531 data samples have been used in the ANN model. The proposed model was developed in a Python Keras environment with Feed-forward Back-propagation (FFBP) Multi-layer Perceptron (MLP) using eight features (mass flow rate, thermal power, inlet temperature, inlet pressure, direction, acceleration, tube inner surface area, helical coil diameter) as the inputs and two features (wall temperature, heat transfer coefficient) as the outputs. The deep ANN model composed of three hidden layers with a total number of 1098 neurons and 300,266 trainable parameters has been found as optimal according to statistical error analysis. Performance evaluation is conducted based on six verification statistic metrics (R 2, MSE, MAE, MAPE, RMSE and cosine proximity) between the experimental data and predicted values. The results demonstrate that a 8-512-512-64-2 neural network has the best performance in predicting the helical coil characteristics with (R 2=0.853, MSE=0.018, MAE=0.074, MAPE=1.110, RMSE=0.136, cosine proximity=1.000) in the testing stage. It is indicated that with the utilisation of deep learning, the proposed model is able to successfully predict the heat transfer performance in helical coils, and especially achieved excellent performance in predicting outputs that have a very large range of value differences.

Year2020
JournalInternational Journal of Heat and Mass Transfer
Journal citation166, p. 120743
PublisherElsevier
ISSN0017-9310
Digital Object Identifier (DOI)https://doi.org/10.1016/j.ijheatmasstransfer.2020.120743
Publication dates
Online04 Dec 2020
Publication process dates
Accepted21 Nov 2020
Deposited24 Jan 2024
Accepted author manuscript
License
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/962x4

Download files


Accepted author manuscript
Accepted_Manuscript (1).pdf
License: CC BY-NC-ND 4.0
File access level: Open

  • 49
    total views
  • 18
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Advanced thermal management system driven by phase change materials for power lithium-ion batteries: A review
Zhang, J., Shao, D., Jiang, L., Zhang, G., Wu, H., Day, R. and Jiang, W. (2022). Advanced thermal management system driven by phase change materials for power lithium-ion batteries: A review. Renewable and Sustainable Energy Reviews. 159, p. 112207. https://doi.org/10.1016/j.rser.2022.112207
Experimental investigation on environmental control of a 50-person mine refuge chamber
Zhang, Z., Jin, T., Wu, H., Day, R., Gao, X., Wang, K. and Mao, R. (2021). Experimental investigation on environmental control of a 50-person mine refuge chamber. Building and Environment. 21, p. 108667. https://doi.org/10.1016/j.buildenv.2021.108667
Temperature oscillation of a dual compensation chamber loop heat pipe under acceleration conditions
Lv, X., Xie, Y., Zhang, H., Xu, Y., Wu, H., Day, R. and Ren, J. (2021). Temperature oscillation of a dual compensation chamber loop heat pipe under acceleration conditions. Applied Thermal Engineering. 198, p. 117450. https://doi.org/10.1016/j.applthermaleng.2021.117450
Energy Separation for Ranque-Hilsch Vortex Tube: A short review
Hu, Z., Li, R., Yang, X., Yang, M, Day, R. and Wu, H. (2020). Energy Separation for Ranque-Hilsch Vortex Tube: A short review. Thermal Science and Engineering Progress. 19, p. 100559. https://doi.org/10.1016/j.tsep.2020.100559
Air Quality Control in Mine Refuge Chamber with Ventilation through Pressure Air Pipeline
Zhang, Z., Wu, H., Wang, K., Day, R. and Yuan, Y. (2020). Air Quality Control in Mine Refuge Chamber with Ventilation through Pressure Air Pipeline. Process Safety and Environmental Protection. 135, pp. 46-58. https://doi.org/10.1016/j.psep.2019.12.014
Prediction of the release process of the nitrogen-extinguishant binary mixture considering surface tension
Liu, S., Xie, Y., Chen, M., Zhu, J., Day, R., Wu, H. and Yu, J. (2020). Prediction of the release process of the nitrogen-extinguishant binary mixture considering surface tension. Journal of Thermal Analysis and Calorimetry. 145, pp. 185-199. https://doi.org/10.1007/s10973-020-10040-2
Thermal performance of a mine refuge chamber with human body heat sources under ventilation
Zhang, Z., Wu, H., Wang, K., Day, R. and Yuan, Y. (2019). Thermal performance of a mine refuge chamber with human body heat sources under ventilation. Applied Thermal Engineering. 162, p. 114243. https://doi.org/10.1016/j.applthermaleng.2019.114243
Thermal Performance Analysis of an Underground Closed Chamber with Human Body Heat Sources under Natural Convection
Zhang, Z., Day, R., Wang, K., Wu, H. and Yuan, Y. (2018). Thermal Performance Analysis of an Underground Closed Chamber with Human Body Heat Sources under Natural Convection. Applied Thermal Engineering. 145 (145), pp. 453-463. https://doi.org/10.1016/j.applthermaleng.2018.09.068
Powering lights with piezoelectric energy harvesting floors
Puscasu,O., Counsell, N., Herfatmanesh, M., Peace, R., Patsavellas, J. and Day, R. (2018). Powering lights with piezoelectric energy harvesting floors. Energy Technology. 6 (5), pp. 906-916. https://doi.org/10.1002/ente.201700629
Development of an automated smart trap for wheat pathogens
Kaye, R., Johnston, I., Baxter, R., Munro, I., Tracey, M., Day, R. and McCluskey, D. (2017). Development of an automated smart trap for wheat pathogens. Innovation in plant biosecurity 2017. 16 Mar 2017 Fera.
Protein droplet actuation on superhydrophobic surfaces: A new approach toward anti-biofouling electrowetting systems
Abdul Latip, E.N., Coudron, L., McDonnell, M.B., Johnston, I., McCluskey, D., Day, R. and Tracey, M. (2017). Protein droplet actuation on superhydrophobic surfaces: A new approach toward anti-biofouling electrowetting systems. RSC Advances. 78, p. 49633–49648. https://doi.org/10.1039/c7ra10920b
Design of a high efficiency cyclone for collection of rare and low concentration airborne pathogens
Baxter, R., Johnston, I., Kaye, R., Munro, I., Tracey, M., Day, R. and McCluskey, D. (2017). Design of a high efficiency cyclone for collection of rare and low concentration airborne pathogens. Innovation in plant biosecurity 2017. 16 Mar 2017
Proof-of-Concept Testing of a Sustained Vortex-Flow Configuration for Hybrid Rocket Motors
R. Wilkinson, R. Day, K. Hart and Day, R. (2010). Proof-of-Concept Testing of a Sustained Vortex-Flow Configuration for Hybrid Rocket Motors. Joint Propulsion Conf & Exhibit. 2010
Design considerations of scheduling systems suitable for PCB manufacturing
Fernandez-Flores, O., Speer, T. and Day, R. (2009). Design considerations of scheduling systems suitable for PCB manufacturing. Engineering and Technology. 58 (157), p. 794.
Business process re-engineering using a customised mapping model: a case study in a SME
L. Zong, R. Day and Day, R. (2007). Business process re-engineering using a customised mapping model: a case study in a SME. 24th International Manufacturing Conference. 2007
Experimental observations of obstructions on floodplains
Liriano,S.L., Marriott, M.J. and Day, R. (2001). Experimental observations of obstructions on floodplains. 29th IAHR World Congress. Beijing 2001