Optimization of two-beam laser cleavage of silicate glass

Nikityuk, Yu. V.; Serdyukov, A. N.; Aushev, I.Y.

doi:10.1364/jot.89.000121

Cited by 5 publications

(1 citation statement)

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“…A substantial enhancement in the effectiveness of laser technologies employed in the processing of materials can be achieved through the optimization of the relevant technological parameters via genetic algorithms [7][8][9][10][11][12][13][14][15][16][17][18]. In this case, the temperatures generated in the laser treated area serve as parameters the determination of which provides the possibility of optimizing the laser cladding parameters.…”

Section: Introductionmentioning

confidence: 99%

Parameters optimization of pulsed laser cladding of steel 30KHGSN2A using a genetic algorithm

Nikitiuk,

Bayevich,

Maximenko

et al. 2024

Bulletin Sukhoi State Technical University of Gomel

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The paperpresents the optimization of pulsed laser cladding of structural steel using a genetic algo-rithm. Using the ANSYS Workbench software, finite element modelling of laser cladding on a 30ХГСН2А steel substrate with an additive in the form of wire was conducted, considering the temperature dependence of the material's thermophysical properties. A surrogate model for pulsed laser cladding of 30ХГСН2Аsteel was developed employing a face-centered version of the central composite design experiment. The time inter-vals corresponding to the end time of the three fronts of the laser pulse and the diameter of the filler wire were considered as variable factors. The maximum temperatures in the treatment zone were used as re-sponses. In order to optimize pulsed laser cladding of 30ХГСН2А steel, the maximum temperature limit val-ues in the treatment zone were established for three moments of time that corresponded to the laser pulse fronts at the three points in the finite element model. A comparison was made between the parameters ob-tained from optimization and those derived from finite element modelling. When determining temperatures, the maximum percentage error of the results obtained via the genetic algorithm did not exceed 3.5 %

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Section: Introductionmentioning

confidence: 99%

Parameters optimization of pulsed laser cladding of steel 30KHGSN2A using a genetic algorithm

Nikitiuk,

Bayevich,

Maximenko

et al. 2024

Bulletin Sukhoi State Technical University of Gomel

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Systematic review of optimization techniques for laser beam machining

Kharche,

Patil

2024

Eng. Res. Express

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Laser Beam Machining (LBM) has several applications in the aerospace, medical, and automobile domains. Optimization techniques are essential for LBM to increase resource-efficiency and sustainability of the system. The present paper aims to provide a systematic review of the research in the domain of optimization techniques for LBM. A total of 228 research papers published during the last 20 years, from 2003 to 2023, are reviewed. The literature review is classified into three major sections- (i) optimization techniques, (ii) applications of optimization techniques, and (iii) challenges and future directions. The novelty of the present systematic review paper is to provide a direction for future research in the domain of optimization techniques of LBM. As a result of the suggested research, an efficient and sustainable LBM with the required performance will be developed in the shortest possible time.

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