Prediction of hardness and deformation using a 3-D thermal analysis in laser hardening of AISI H13 tool steel

Oh, Sehyeok; Ki, Hyungson

doi:10.1016/j.applthermaleng.2017.04.156

Cited by 38 publications

(10 citation statements)

References 16 publications

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“…where it should be noted that the solution w R n ðx, tÞ of ( 10) is also unique when k 0 > 0, see for example [2]. When k 0 ¼ 0, (14) still holds. This follows because the only solutions u ðBCÞ R n ðx, tÞ of (11) (again assuming that r ðBCÞ R n ðx, tÞ !…”

Section: The Displacement Potentialmentioning

confidence: 99%

“…The heat load applied during each passing is the same up to a translation and/or rotation in space and a shift in time. Examples of such processes are the laser hardening of metals [12][13][14], additive manufacturing [15][16][17], and wafer heating [11,18,19]. In the latter application, a pattern of electronic connections is projected onto a silicon wafer, see Figure 1.…”

Section: Introductionmentioning

confidence: 99%

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The method of images in thermoelasticity with an application to wafer heating

Veldman

Fey

Zwart

et al. 2021

Journal of Thermal Stresses

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The well-known method of images relates the solution of the heat equation on R n (typically n ¼ 2 or n ¼ 3) to the solution of the heat equation on certain spatial subdomains X of R n : By reformulating the method of images in terms of a convolution kernel, two novel extensions are obtained in this paper. First, the method of images is extended from thermal problems to thermoelastic problems, that is, it is demonstrated how the heat-induced deformations on R n can be related to the heat-induced deformations on certain subdomains X of R n : Secondly, an explicit expression for the convolution kernel for the disk is obtained. This enables the application of the method of images to circular domains to which it could not be applied before. The two obtained extensions lead to a computationally efficient simulation method for repetitive heat loads on a disk. In a representative simulation example of wafer heating, the proposed method is more than ten times faster than a conventional Finite Element approach.

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Section: The Displacement Potentialmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The method of images in thermoelasticity with an application to wafer heating

Veldman

Fey

Zwart

et al. 2021

Journal of Thermal Stresses

View full text Add to dashboard Cite

show abstract

“…In this context, the development of predictive models appears to be a virtual solution in order to reduce time and costs in finding the optimal operational process conditions. To this end, many research studies have focused on the development of relationships between process parameters and process responses [21][22][23]. Thus, research in laser hardening process development, optimization, modelling and simulation plays a critical role in advancing surface engineering science and technology [24].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Genetic Algorithm for Fatigue Life Control of Medium Carbon Steel in Laser Hardening Process

2020

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This study proposes a genetic algorithm-optimized model for the control of the fatigue life of AISI 1040 steel components after a high-power diode laser hardening process. First, the effect of the process parameters, i.e., laser power and scan speed, on the fatigue life of the components after the laser treatment was evaluated by using a rotating bending machine. Then, in light of the experimental findings, the optimization model was developed and tested in order to find the best regression model able to fit the experimental data in terms of the number of cycles until failure. The laser treatment was found to significantly increase the fatigue life of the irradiated samples, thus revealing its suitability for industrial applications. Finally, the application of the proposed genetic algorithm-based method led to the definition of an optimal regression model which was able to replicate the experimental trend very accurately, with a mean error of about 6%, which is comparable to the standard deviation associated with the process variability.

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“…However, it also induces residual or thermal stresses in surface and sub-surface regime, which is not desirable [4]. Researchers are trying various types of laser surface modification techniques such as laser surface melting/glazing (LSM/LSG), laser transformation hardening, laser cladding (LC), selective laser sintering (SLS), and direct metal deposition (DMD) [5][6][7][8]. Among those processes, SLS, LC or DMD can be used as both forming and repairing processes where similar or different materials are added externally on top of a substrate mostly in powder form.…”

Section: Introductionmentioning

confidence: 99%

Thermomechanical modelling of laser surface glazing for H13 tool steel

et al. 2018

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A two-dimensional thermomechanical finite element (FE) model of laser surface glazing (LSG) has been developed for H13 tool steel. The direct coupling technique of ANSYS 17.2 (APDL) has been utilised to solve the transient thermomechanical process. A H13 tool steel cylindrical cross-section has been modelled for laser power 200 W and 300 W at constant 0.2 mm beam width and 0.15 ms residence time. The model can predict temperature distribution, stress-strain increments in elastic and plastic region with time and space. The crack formation tendency also can be assumed by analysing the von Mises stress in the heat-concentrated zone. Isotropic and kinematic hardening models have been applied separately to predict the after-yield phenomena. At 200 W laser power, the peak surface temperature achieved is 1520 K which is below the melting point (1727 K) of H13 tool steel. For laser power 300 W, the peak surface temperature is 2523 K. Tensile residual stresses on surface have been found after cooling, which are in agreement with literature. Isotropic model shows higher residual stress that increases with laser power. Conversely, kinematic model gives lower residual stress which decreases with laser power. Therefore, both plasticity models could work in LSG for H13 tool steel.

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Prediction of hardness and deformation using a 3-D thermal analysis in laser hardening of AISI H13 tool steel

Cited by 38 publications

References 16 publications

The method of images in thermoelasticity with an application to wafer heating

The method of images in thermoelasticity with an application to wafer heating

An Optimal Genetic Algorithm for Fatigue Life Control of Medium Carbon Steel in Laser Hardening Process

Thermomechanical modelling of laser surface glazing for H13 tool steel

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