Infrastructure monitoring and rapid quality diagnosis comprise the key solutions to achieve
zero-defect smart manufacturing. The most fundamental systems in manufacturing industries …

Abstract Friction Stir Welding (FSW) has been paid more attention in recent years due to its
efficiency in welding materials that are difficult to weld by conventional fusion welding …

With the advancement in manufacturing technologies, various improved machining
processes have been developed and CNC based milling process is also one of the front line …

Computer numerical control (CNC) milling is a common method for the efficient mass
production of products. Process efficiency and product quality have a strong dependency on …

A comparative study is undertaken in terms of the surface roughness criterion (Ra), the
tangential cutting force (Fz), the cutting power (Pc), and the material removal rate (MRR) in …

This paper presents a fuzzy logic artificial intelligence technique for predicting the machining
performance of Al–Si–Cu–Fe die casting alloy treated with different additives including …

This work presents the highly nonlinear relationships between processing conditions and
the specific cutting energy, arithmetical mean roughness, and means roughness depth with …

End milling is an important and common machining operation because of its versatility and
capability to produce various profiles and curved surfaces. Inclined end milling possesses …

A methodology is presented for acoustic emission (AE) monitoring of Douglas fir wood in
circular sawing process under extreme cutting conditions. An AE sensor was mounted on …

This article reports a comparative study of artificial neural network (ANN) and adaptive neuro-
fuzzy inference system (ANFIS) models for better prediction of wire electro-discharge …