List of Articles CO2 Laser Cutting

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  1 - The Effect of Focal Distance and Type of Auxiliary Gas on Cut Width in CO2 Laser Cutting of Stainless and Mild Steel Sheets
  Hossein Taheri Hamid Zarepour Firouzabadi Majid Hashemzadeh
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  2 - The Effect of Power and Maximum Cutting Speed on the Material Removal Rate and Cutting Volume Efficiency in CO2 Laser Cutting of Polycarbonate Sheets
  Majid Hashemzadeh Mehdi Mahammadi
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  3 - The Effect of Power, Maximum Cutting Speed and Specific Point Energy on the Material Removal Rate and Cutting Volume Efficiency in CO2 Laser Cutting of Polyamide Sheets
  Majid Hashemzadeh Reza Poorshaban
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  4 - Optimizing the Cutting of Inconel 718 Sheets with CO2 Laser by Particle Swarm Algorithm
  Saeid Kiani Rasoul Tarkesh Esfahani Zahra Zojaji
  In this paper, the impact of different operative variables on the quality of cutting of Inconel material 718 is studied. Utilizing Taguchi test design, the input variables including carbon dioxide laser power and the cutting speed for cutting three different thicknesses More

  In this paper, the impact of different operative variables on the quality of cutting of Inconel material 718 is studied. Utilizing Taguchi test design, the input variables including carbon dioxide laser power and the cutting speed for cutting three different thicknesses of Inconel 718 alloy were investigated in order to achieve the optimal conditions. After obtaining experimental test results, dataset was modeled using artificial neural networks. The neural network model is then used for evaluating candidate solutions in particle swarm optimization (PSO) algorithm which is employed for optimization of cutting conditions. The results indicated that when the laser power of is 1714 (W), the cutting speed is 1382 (mm/min) and the thickness of the material is 0.8 (mm), The best quality for cutting Inconel 718 is achieved with a carbon dioxide laser cutting machine. The results of optimal cutting parameters of Inconel alloy with carbon dioxide laser which were obtained by PSO were verified through an experimental test and similar papers. The results of this experimental test were very close to the optimal values of the PSO, which demonstrates the efficiency of neural network model in predicting the quality of cutting and the efficiency of PSO in finding optimal conditions. Manuscript profile