[HTML][HTML] Fundamental understanding of heat and mass transfer processes for physics-informed machine learning-based drying modelling
Drying is a complex process of simultaneous heat, mass, and momentum transport
phenomena with continuous phase changes. Numerical modelling is one of the most …
phenomena with continuous phase changes. Numerical modelling is one of the most …
Advancements in solar drying technologies: Design variations, hybrid systems, storage materials and numerical analysis: A review
MA Kherrafi, A Benseddik, R Saim, A Bouregueba… - Solar Energy, 2024 - Elsevier
Solar drying technologies and applications in the last 10 years have been summarized and
discussed in this article. A wide scope of the main elements that make this technique …
discussed in this article. A wide scope of the main elements that make this technique …
Potential of an internal combustion engine as an energy supplier for the drying process: A thermo-economic analysis with multi-objective optimization
Providing a constant heat and power supply for the drying process has remained as a key
challenge. In this innovative work, the potential of an internal combustion engine (ICE) is …
challenge. In this innovative work, the potential of an internal combustion engine (ICE) is …
Numerical and experimental investigation of a solar absorber extension tube with turbulators for upgrading the performance of a solar dryer
Purpose During the past several years, research and studies in the field of solar energy
have been continuously increased. One of the substantial applications of solar energy is …
have been continuously increased. One of the substantial applications of solar energy is …
[HTML][HTML] Review of Energy-Related Machine Learning Applications in Drying Processes
D Đaković, M Kljajić, N Milivojević, Đ Doder… - Energies, 2023 - mdpi.com
Drying processes are among the most energy-intensive industrial processes. There is a
need for development of the efficient methods needed for estimating, measuring, and …
need for development of the efficient methods needed for estimating, measuring, and …
Applying regression techniques to determine mathematical equations of exergy, electricity, and energy values of photovoltaic thermal collector
E Arslan - Solar Energy, 2023 - Elsevier
The highlight of this study is to produce mathematical equations that can calculate the
electricity, energy, and exergy efficiency values of an air-type photovoltaic-thermal (PV-T) …
electricity, energy, and exergy efficiency values of an air-type photovoltaic-thermal (PV-T) …
Application of experimental, numerical, and machine learning methods to improve drying performance and decrease energy consumption of tunnel-type food dryer
In this study, to distribute the drying air uniformly on the product surface, straight and trapeze
air barriers were designed in the drying chamber of the existing tunnel dryer. The effects of …
air barriers were designed in the drying chamber of the existing tunnel dryer. The effects of …
Investigation of the effect of deposit layer on heat transfer in the Triga Mark II nuclear research reactor cooling system
In this presented study, the cooling problem of the ITU Triga Mark-II reactor has been
handled and analyzed, and solutions were proposed. First of all, a thermal model of the …
handled and analyzed, and solutions were proposed. First of all, a thermal model of the …
Comparison of the performance of fixed and two-axis movable solar air heaters with different methods
M Das - Energy Sources, Part A: Recovery, Utilization, and …, 2022 - Taylor & Francis
Usually, the solar air heater (SAH) is placed in a fixed position based on the tilt angle. This
situation adversely affects the thermal performance of the collector, considering the natural …
situation adversely affects the thermal performance of the collector, considering the natural …
[HTML][HTML] Application of neural networks in predicting the qualitative characteristics of fruits
WK Abdelbasset, G Nambi, SM Elkholi… - Food Science and …, 2022 - SciELO Brasil
In this research, the quality properties of persimmon were predicted using artificial intellect
techniques. The persimmon samples were transferred to a computer vision lab, room …
techniques. The persimmon samples were transferred to a computer vision lab, room …