The availability of water is crucial for the growth and sustainability of human development.
The effective management of water resources is essential due to their renewable nature and …

Measuring the volume fraction of different types of fluids with two or three phases is so vital.
Among all available methods, two of them, capacitance-based and gamma-ray attenuation …

Polymer foams are extensively utilized because of their superior mechanical and energy-
absorbing capabilities; however, foam materials of consistent geometry are difficult to …

The correct determination of fracture toughness is dependent on the accurate measurement
of the point of crack initiation. In this research work, the AE technique is used to accurately …

Optimizing structural designs is crucial today, with additive manufacturing, particularly
selective laser melting, gaining prominence. Thorough mechanical characterization of new …

The article describes machine learning using artificial neural networks (ANNs) to develop
the parameters of the friction stir welding (FSW) process for three types of aluminum joints …

Nowadays, hydropower plants are being used to compensate for the variable power
produced by the new fluctuating renewable energy sources, such as wind and solar power …

We performed a machine learning-aided analysis of the rolling and recrystallization textures
in pure iron with different cold reduction ratios and cold-rolling directions. Five types of …

Accurate and stable prediction of the effective thermal conductivity (ETC) of porous ceramic
materials is of great significance for their application in areas such as optimizing the design …

The data-driven approach for creep life prediction typically integrates numerous
characteristics, including material compositions, manufacturing details, and service …