Effects of the inclination angle of planar encapsulated PCM in freezing and melting kinetics
A Castro-Vizcaíno, K Babul, MS Romero-Cano… - International Journal of …, 2025 - Elsevier
Experiments and simulations have been used to study the freezing and melting kinetics of a
single capsule containing a phase change material (PCM) for thermal energy storage. A …
single capsule containing a phase change material (PCM) for thermal energy storage. A …
Optimization of 2024-T3 aluminum alloy friction stir welding using random forest, XGBoost, and MLP machine learning techniques
P Myśliwiec, A Kubit, P Szawara - Materials, 2024 - mdpi.com
This study optimized friction stir welding (FSW) parameters for 1.6 mm thick 2024T3
aluminum alloy sheets. A 3× 3 factorial design was employed to explore tool rotation speeds …
aluminum alloy sheets. A 3× 3 factorial design was employed to explore tool rotation speeds …
Assessment of resilient modulus of soil using hybrid extreme gradient boosting models
X Duan - Scientific Reports, 2024 - nature.com
Accurate estimation of the soil resilient modulus (MR) is essential for designing and
monitoring pavements. However, experimental methods tend to be time-consuming and …
monitoring pavements. However, experimental methods tend to be time-consuming and …
Effect of operating conditions and surface roughness on grease lubrication efficiency
J Li, L An, Y Huang, Z Li, B Guan, R Li - Thermal Science and Engineering …, 2024 - Elsevier
The aim of this paper is to investigate the effect of operating parameters (load and rotational
speed) and arithmetic mean deviation (Ra) roughness value on temperature rise and …
speed) and arithmetic mean deviation (Ra) roughness value on temperature rise and …
[HTML][HTML] Modeling of TES Tanks by Means of CFD Simulation Using Neural Networks
Modeling of thermal energy storage (TES) tanks with computational fluid dynamics (CFD)
tools exhibits limitations that hinder the time, scalability, and standardization of the …
tools exhibits limitations that hinder the time, scalability, and standardization of the …
[HTML][HTML] Development of a Forecasting Framework Based on Advanced Machine Learning Algorithms for Greenhouse Gas Emissions
S Ene Yalçın - Systems, 2024 - mdpi.com
The reduction of greenhouse gas emissions, in order to effectively address the issue of
climate change, has critical importance worldwide. To achieve this aim and implement the …
climate change, has critical importance worldwide. To achieve this aim and implement the …
Predictive analysis of Somalia's economic indicators using advanced machine learning models
BM Osman, AMS Muse - Cogent Economics & Finance, 2024 - Taylor & Francis
Abstract Accurate Gross Domestic Product (GDP) prediction is essential for economic
planning and policy formulation. This paper evaluates the performance of three machine …
planning and policy formulation. This paper evaluates the performance of three machine …