Modeling and multiobjective optimization of thermal effects of fiber laser cutting of Inconel 600 sheet by employing the ANN and multi-objective PSO algorithm
Mohammad Hossein Razavi Dehkordi, Dheyaa J. Jasim, Ameer H. Al-Rubaye, Mohammad Akbari, Seyed Amin Bagherzadeh, Mohammadreza Ghazi, Hamed Mohammadkarimi
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引用次数: 0
Abstract
In this study, the experimental results of fiber laser cutting of Inconel 600 was modeled and optimized by combining artificial neural networks (ANNs) and particle swarm optimization (PSO). The impact of cutting criteria on the temperature adjacent to the cut kerf and roughness of the cutting edge was experimentally evaluated. The independent variables are the cutting speed, focal length, and laser power. The fiber laser cutting characteristics are modeled at different cutting conditions by the ANN method according to the experimental data. The findings indicated that the ANN is performing reasonably well in dealing with the training and test datasets. Also, the multiobjective PSO has been developed to effectively optimize the laser cutting procedure parameters in order to achieve the maximum temperature (the temperature upper than 370 °C) and minimum roughness (lower than 3 μm) simultaneously in order to improve the laser cutting efficiency. Based on the PSO results, the optimal laser power gained at a laser power of 830 and 1080 W at cutting speed ranges from 2 to 4 m/min and maximum focal length ranges between 0.75 and 0.8 mm where the lowest amount of roughness was created. The optimum temperature ranges were between 370 and 419°C. At a laser power of 1000 W and speed of 4 m/min, the smooth cutting edge at minimum roughness was gained without any defects. Transmission of the focal point up to 1.5 mm below the top surface of the sheet improved the roughness of the cutting edge and the cut quality by producing the smooth surface without slags.
期刊介绍:
The Journal of Laser Applications (JLA) is the scientific platform of the Laser Institute of America (LIA) and is published in cooperation with AIP Publishing. The high-quality articles cover a broad range from fundamental and applied research and development to industrial applications. Therefore, JLA is a reflection of the state-of-R&D in photonic production, sensing and measurement as well as Laser safety.
The following international and well known first-class scientists serve as allocated Editors in 9 new categories:
High Precision Materials Processing with Ultrafast Lasers
Laser Additive Manufacturing
High Power Materials Processing with High Brightness Lasers
Emerging Applications of Laser Technologies in High-performance/Multi-function Materials and Structures
Surface Modification
Lasers in Nanomanufacturing / Nanophotonics & Thin Film Technology
Spectroscopy / Imaging / Diagnostics / Measurements
Laser Systems and Markets
Medical Applications & Safety
Thermal Transportation
Nanomaterials and Nanoprocessing
Laser applications in Microelectronics.