Critical assessment of methods for measurement of temperature profiles and heat load history in microwave heating processes—A review

I Kalinke, P Kubbutat, S Taghian Dinani… - … reviews in food …, 2022 - Wiley Online Library
Limitations of microwave processing due to inhomogeneities of power input and energy
absorption have been widely described. Over‐and underheated product areas influence …

A deep learning method based on partition modeling for reconstructing temperature field

X Peng, X Li, Z Gong, X Zhao, W Yao - International Journal of Thermal …, 2022 - Elsevier
Physical field reconstruction is highly desirable for the measurement and control of
engineering systems. The reconstruction of the temperature field from limited observation …

[HTML][HTML] State of the art of the fundamental aspects in the concept of microwave-assisted heating systems

C Valverde, MM Rodríguez-García, E Rojas… - … Communications in Heat …, 2024 - Elsevier
As the processing of materials using clean energy becomes increasingly important, indirect
conventional heating is being replaced by microwave-assisted heating. This method …

Transfer learning neural network for reconstructing temperature field in film cooling with scarce local measurements

D Li, L Qiu, Z Tao, J Zhu - Energy, 2024 - Elsevier
Film cooling is widely adopted for thermal protection of gas turbine blades. Obtaining the
surface temperature field is essential for film cooling design. However, it is generally …

Комплексування мультиспектральних зображень як метод підвищення їх інформативності при бінарній сегментації

DV Storozhyk, OV Muraviov, AG Protasov… - KPI Science …, 2020 - scinews.kpi.ua
Проблематика. Однією з найбільш інтенсивних тенденцій на виробництві та при
проектуванні різної техніки на сьогодні є прагнення до автоматизації процесів з метою …

Rapid prediction of structural thermal loads and temperature field based on physics and data co-driven approach under partial labeled data

H Du, Q Xu, Y Bu, L Jiang, C Zhao, C Zhang… - … Communications in Heat …, 2024 - Elsevier
Rapid prediction of structural temperature fields based on limited measurements is crucial
for the real-time thermodynamic analysis and thermal management of industrial equipment …

A deep learning method based on patchwise training for reconstructing temperature field

X Peng, X Li, Z Gong, X Zhao, W Yao - arXiv preprint arXiv:2201.10860, 2022 - arxiv.org
Physical field reconstruction is highly desirable for the measurement and control of
engineering systems. The reconstruction of the temperature field from limited observation …

The use of backpropagation artificial neural networks in thermal tomography

R Galagan, A Momot - 2018 IEEE First International …, 2018 - ieeexplore.ieee.org
Modern methods of digital thermogram processing and thermal tomography are described.
Considered the possibility of applying artificial neural networks in thermal non-destructive …

A Strategy for Efficient Full-Domain Thermal Field Reconstruction and Sparse Sensor Placement

Y Ye, Q Ai, M Liu, Y Shuai - Available at SSRN 4596519 - papers.ssrn.com
Efficient thermal behavior analysis, closed-loop control, and state prediction for a system
increasingly rely on the online evaluation of full-domain thermal fields. Regrettably, the …

A Rapid Reconstruction Strategy of Full-Domain Temperature Field Based on Discrete Measurement Points for Spacecraft Thermal Control

Y Ye, Q Ai, X Zhang, M Liu, Y Shuai - Available at SSRN 4563999 - papers.ssrn.com
Increasingly, the deployment of efficient full-domain thermal analysis and control are
requested for spacecraft (eg, gravitational wave detectors), which heavily depends on …