Laser beam machining (LBM) as an efficient tool for material removal has attracted the
attention of manufacturing industries. Accordingly, there is a great motivation in the modeling …

Computational intelligence (CI) involves using a computer algorithm to capture hidden
knowledge from data and to use them for training “intelligent machine” to make complex …

Interactions between light and matter during short-pulse water-jet guided laser materials
processing are highly nonlinear, and acutely sensitive to laser machining parameters …

Interactions between light and matter during short-pulse laser materials processing are
highly nonlinear, and hence acutely sensitive to laser parameters such as the pulse energy …

While hole taper is inevitably formed in the laser micro-drilling of through micro-holes, the
formation propensity is largely determined by the interaction between laser processing …

Ultrashort pulse laser drilling is a promising method for the fabrication of microchannels in
dielectric materials. Due to the complexity of the process, there is a strong demand for …

Finite element (FE) analysis of welding residual stress and deformation is one of the
essential stages in the manufacturing process of mechanical structures and parts. It aids in …

Surface roughness is an important indicator of the quality of the machined surface. One of
the methods that can be applied to improve surface roughness is ball burnishing. Ball …

It is a challenging to ensure the quality of microholes during the laser drilling of bulk metallic
glasses (BMGs), where the defects such as heat-affected zones, burrs, and low smoothness …

Neural network (NN) model is an efficient and accurate tool for simulating manufactur-ing
processes. Various authors adopted artificial neural networks (ANNs) to optimize …