A review on applications of artificial intelligence in modeling and optimization of laser beam machining

AN Bakhtiyari, Z Wang, L Wang, H Zheng - Optics & Laser Technology, 2021 - Elsevier
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 …

An applicable review on recent laser beam cutting process characteristics modeling: Geometrical, metallurgical, mechanical, and defect

SF Nabavi, A Farshidianfar, H Dalir - The International Journal of …, 2024 - Springer
Achieving precise kerf cut characteristics in laser beam cutting (LBC) is contingent upon the
meticulous modeling of the process. This research delves into a comprehensive …

Minimization of fume emissions in laser cutting of polyvinyl chloride sheets using genetic algorithm

AH Elsheikh, T Muthuramalingam, M Abd Elaziz… - International Journal of …, 2022 - Springer
Simultaneous investigation of kerf quality and fume emissions during laser cutting process is
essential to achieve efficient and hygienic cutting process. In this study, an experimental …

Enhancement of low power CO2 laser cutting process for injection molded polycarbonate

M Moradi, O Mehrabi, T Azdast, KY Benyounis - Optics & Laser Technology, 2017 - Elsevier
Laser cutting technology is a non-contact process that typically is used for industrial
manufacturing applications. Laser cut quality is strongly influenced by the cutting processing …

Investigating the effect of laser cutting parameters on the cut quality of Inconel 625 using Response Surface Method (RSM)

J Wang, Z Sun, L Gu, H Azimy - Infrared Physics & Technology, 2021 - Elsevier
Nickel-based superalloys have been widely used in the recent years due to their good
strength and high-temperature resistance. These properties can also be affected during the …

Comparison of the artificial neural network model prediction and the experimental results for cutting region temperature and surface roughness in laser cutting of …

Y Yongbin, SA Bagherzadeh, H Azimy, M Akbari… - Infrared Physics & …, 2020 - Elsevier
In this study, a function approximation procedure is used, which called artificial neural
network (ANN), according to the experimental results of the temperature of cutting region …

Experimental evaluation of cut quality and temperature field in fiber laser cutting of AZ31B magnesium alloy using response surface methodology

AI Khdair, AA Melaibari - Optical Fiber Technology, 2023 - Elsevier
Fiber laser cutting of AZ31B magnesium alloy was studied to assess the effect of laser
cutting process parameters on the resultant cutting temperature near the cut kerf and the …

Computational intelligence for smart laser materials processing

G Casalino - Optics & Laser Technology, 2018 - Elsevier
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 …

Prediction of quality characteristics of laser drilled holes using artificial intelligence techniques

S Chatterjee, SS Mahapatra, V Bharadwaj… - Engineering with …, 2021 - Springer
Micro-drilling using lasers finds widespread industrial applications in aerospace,
automobile, and bio-medical sectors for obtaining holes of precise geometric quality with …

Prediction of laser cutting heat affected zone by extreme learning machine

O Anicic, S Jović, H Skrijelj, B Nedić - Optics and Lasers in Engineering, 2017 - Elsevier
Heat affected zone (HAZ) of the laser cutting process may be developed based on
combination of different factors. In this investigation the HAZ forecasting, based on the …