Abstract Machine learning (ML) methods have received immense attention as potential
models for modeling different manufacturing systems. This paper presents a comprehensive …

Artificial intelligence has played a potential role in present technological advancements. In
terms of additive manufacturing or 3D printing techniques, computational AI models and …

Additive manufacturing (AM) has been gaining pace, replacing traditional manufacturing
methods. Moreover, artificial intelligence and machine learning implementation has …

Artificial Intelligence has left no stone unturned, and mechanical engineering is one of its
biggest consumers. Such technological advancements in metal melting can help in process …

This research aims to develop ensemble machine-learning methods for forecasting the
ultimate tensile strength (UTS) of friction stir welding (FSW). The substance utilized in the …

This review reports on the influencing parameters on the joining parts quality of tools and
techniques applied for conducting process analysis and optimizing the friction stir welding …

This review deals with implementing technological advances in the manufacturing sector to
implement sustainability. Integrating automated control tools into conventional …

Welding Engineering is one of the most integral parts of manufacturing engineering, which
involves joining two different materials via various types of processes. Complexities in …

Fatigue fracture of welded joints is an important cause for engineering accidents. Due to the
coexistence of so many influencing factors, the current prediction model of fatigue behavior …

Powder bed fusion (PBF) applies to various metallic materials used in the metal printing
process of building a wide range of complex parts compared to other AM technologies. PBF …