Combined heat treatment of metal materials

Kotlan, Václav; Hamar, Roman; Pánek, David; Doležel, Ivo

doi:10.1108/compel-08-2015-0302

Cited by 10 publications

(6 citation statements)

References 3 publications

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“…As the wear depth is very small, instead of a variable density over the sliding distance, an average density ρ av can be used. This is obtained by calculating the initial and final densities using Equation (5). In that case, the modified Lancaster wear coefficient is given by…”

Section: Modified Lancaster Wear Coefficientmentioning

confidence: 99%

“…Rao and Das [3] improved the wear resistance of AA2024 alloy by reinforcing it with SiC particles. The improvement of microstructure, microhardness, corrosion, wear resistance, and chemical composition of Mo-B, B-Si coatings and heat treatment of metal materials was attempted in [4][5][6]. The formation of metallurgical bonding of added materials with aluminum substrate through laser played a significant role in proving surface properties such as microhardness, wear, and corrosion resistance [5,7].…”

Section: Introductionmentioning

confidence: 99%

“…The improvement of microstructure, microhardness, corrosion, wear resistance, and chemical composition of Mo-B, B-Si coatings and heat treatment of metal materials was attempted in [4][5][6]. The formation of metallurgical bonding of added materials with aluminum substrate through laser played a significant role in proving surface properties such as microhardness, wear, and corrosion resistance [5,7]. This feature makes laser a perfect device for obtaining specific properties in the metal surface layer due to microstructural modification or changes in chemical composition (if additional material is supplied to the molten pool).…”

Section: Introductionmentioning

confidence: 99%

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Experimental Investigation of Al-CuMgMn Alloy Developed by Laser Beam Surface Modification for Wear Resistance

Tolcha

Jiru

Lemu

2021

Metals

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Laser surface alloying is one of the recent technologies used in the manufacturing sector for improving the surface properties of metals. Aluminum alloys are key materials in the manufacturing sector. This favors their high demand in many industries. In this study investigation, the surface alloying of pure aluminum was conducted using a CO2 laser. Four types of alloying powders were used with a 2:1:1 combination of copper, magnesium, and manganese. The hardness of the alloyed zones of Al-CuMgMn increased by 2 to 7 times at a 1.7 kW processing laser power. To assess the rate of wear for the alloyed samples, a modified Lancaster wear coefficient was considered. When the pin-on-disc wear test at 10 N and 20 N loads was analyzed with different sliding speeds, a reduction in wear by 30–50% appeared due to surface alloying. The result shows good insight into the wear behavior. In the same way, microstructure and surface morphology studies displayed a good metallurgical bonding without defects. In a statistical sense, the friction and wear behavior matched with an asperity-based model. The experimental results revealed that laser surface alloy has more wear resistance.

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Section: Modified Lancaster Wear Coefficientmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental Investigation of Al-CuMgMn Alloy Developed by Laser Beam Surface Modification for Wear Resistance

Tolcha

Jiru

Lemu

2021

Metals

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“…Input data for definition of the surrogate model are results obtained using FEM simulation in COMSOL Multiphysics. The results from FEM simulation are used as input dataset, for details regarding the used FEM model, see [13]. The model deals with welding of two sheets made of steel S355.…”

Section: Input Datamentioning

confidence: 99%

Estimation of laser weld parameters using surrogate modelling technique

Pavlíček

Kotlan

Doležel

2018

Journal of Electrical Engineering

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A surrogate technique based on Gaussian Process (GP) is used for predicting quality of laser in case of laser welding process that may be supported by induction preheating. FEM-based solution of the problem is computationally expensive because it combines computation of 3D coupled nonlinear electromagnetic and temperature fields. The quality of laser welds is quantified with weld depth, which depends on a number of input parameters. The paper deals with two of them —thickness of the welded steel sheet and power of the laser beam. First, selected FEM simulations allow finding data describing the dependency between the two input parameters and weld depth. These data allow creating a surrogate model that is able to predict weld depth at any point close to the points where the results are known. The principal goal is to essentially save the computational time. The surrogate model also allows estimating prediction plausibility and running the full FEM calculation in cases where the prediction is not sufficiently accurate. The methodology is illustrated with a typical example whose results are discussed.

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“…Because of its localized, fast heating, and controllability, laser treatment has gained in importance in metal industry and presently is applied in a variety of ways [8]. Laser cutting, welding, machining, etc.…”

Section: Introductionmentioning

confidence: 99%

Influence of laser heat treatment on microstructure and properties of surface layer of Waspaloy aimed for laser-assisted machining

Przestacki

Kukliński

Bartkowska

2017

Int J Adv Manuf Technol

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In this study, a nickel-based superalloy, Waspaloy, was laser heat treated with diode laser. Single laser tracks were manufactured with different laser beam power densities between 63 and 331 kW/cm 2 , and scanning laser beam speed ranged from 5 to 100 m/min. It was found that laser heat treatment of Waspaloy causes decrease in material hardness-the microhardness in laser tracks is about 300 HV0,1 while the microhardness of substrate is ranged from 300 to 600 HV0,1-which is a positive phenomenon for laserassisted machining of investigated material. Impacts of laser heat treatment parameters on laser tracks properties were identified for obtaining multiple laser tracks with the most homogenous thickness. Moreover, roughness of heated layers was measured to specify surface quality after laser heat treatment. Multiple laser tracks were produced using different scanning laser beam speed and distances between laser tracks ranged from 0.125 to 1 mm. It was found that if scanning laser beam speed is 75 m/min and distance between laser tracks is equal to or lower than 0.25 mm, in microstructures of multiple laser tracks, cracks are occurring. The most suitable laser heat parameters for obtaining heated layers, and which can be used for laser-assisted machining, were identified as laser beam power density 178.3 kW/cm 2 , scanning laser beam speed 5 m/min, and distance between laser tracks 0.125 mm.

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Combined heat treatment of metal materials

Cited by 10 publications

References 3 publications

Experimental Investigation of Al-CuMgMn Alloy Developed by Laser Beam Surface Modification for Wear Resistance

Experimental Investigation of Al-CuMgMn Alloy Developed by Laser Beam Surface Modification for Wear Resistance

Estimation of laser weld parameters using surrogate modelling technique

Influence of laser heat treatment on microstructure and properties of surface layer of Waspaloy aimed for laser-assisted machining

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