Experimental and theoretical investigation of the formation of the surface layer highly alloyed with aluminum

Laser surface treatment is a complex process in which, under the influence of a laser, the surface of material melts, while changing its structure and properties. In this paper, we consider the simulation of the process and present the results of studying the influence of laser processing parameters on the dimensions of the melt pool. The main purpose of the study is to reveal the dependence of the depth of the melt pool, namely the thickness of the layer in which the mixing process of the components takes place, on the laser parameters. As a result of the study, it was found that after laser treatment of the surface of samples with a coating thickness of 20, 40 and 80 μm at a beam speed of 100 mm/s and power of 180 W, the coating material is completely mixed with the substrate. It is also shown that with the laser travel speed 400 and 800 mm/s and the power 180 W, there is no mixing of the components in the impact zone, since the energy input is not enough.

[1]  A. N. Jinoop,et al.  Study of melt pool geometry and solidification microstructure during laser surface melting of Inconel 625 alloy , 2021 .

[2]  G. O'Connor,et al.  Selective laser ablation of molybdenum from aluminium in a multi-layered thin film system , 2021, Surfaces and Interfaces.

[3]  Danilo de Camargo Branco,et al.  Ultrastrong pure aluminum structure with gradient nanocrystals via selective pulsed laser melting: Computation framework and experiments , 2021 .

[4]  Srinivas,et al.  Laser surface treatment of α-β titanium alloy to develop a β -rich phase with very high hardness , 2021 .

[5]  M. Markov,et al.  Investigation of the intermetallic coating of the Ni-Fe system obtained by surface laser treatment on a steel substrate. , 2021, Journal of Physics: Conference Series.

[6]  D. Nguyen,et al.  Investigation of SLM Process in Terms of Temperature Distribution and Melting Pool Size: Modeling and Experimental Approaches , 2019, Materials.

[7]  V. Balla,et al.  Laser surface melting of γ-TiAl alloy: an experimental and numerical modeling study , 2019, Materials Research Express.

[8]  E. Chlebus,et al.  Effect of Scanning and Support Strategies on Relative Density of SLM-ed H13 Steel in Relation to Specimen Size , 2019, Materials.

[9]  Zhichao Dong,et al.  Effect of Hatch Spacing on Melt Pool and As-built Quality During Selective Laser Melting of Stainless Steel: Modeling and Experimental Approaches , 2018, Materials.

[10]  B. Carlson,et al.  Effect of laser ablation surface treatment on performance of adhesive-bonded aluminum alloys , 2016 .

[11]  A. Deschamps,et al.  Microstructure modifications induced by a laser surface treatment in an AA7449 aluminium alloy , 2011 .

[12]  N. Dahotre,et al.  Pulsed laser surface treatment of magnesium alloy: Correlation between thermal model and experimental observations , 2009 .

[13]  Antonio Fasano,et al.  Numerical solution of phase-change problems , 1973 .

[14]  S. M. Shariff,et al.  Analysis of high strength composite structure developed for low-carbon-low-manganese steel sheet by laser surface treatment , 2021 .

[15]  P. Kuznetsov,et al.  Comparison of sequential and circular scanning thermal fields and their influence on microstructure of Alnico alloy produced by laser powder bed fusion , 2021, Journal of Physics: Conference Series.

[16]  O. Vasiliev,et al.  Investigation of the influence of laser treatment modes on coatings of aluminum, nickel, nickel-titanium systems , 2021 .

[17]  V. Klimov,et al.  Features of the Formation of Wear-Resistant Coatings from Powders Prepared by a Micrometallurgical Process of High-Speed Melt Quenching , 2017, Metallurgist.

[18]  Yuebin Guo,et al.  Prediction of Residual Stress and Part Distortion in Selective Laser Melting , 2016 .

[19]  Jesper Henri Hattel,et al.  Numerical Model based Reliability Estimation of Selective Laser Melting Process , 2014 .