An Efficient Reliability-Based Simulation Method for Optimum Laser Peening Treatment

Hasser, Peter J.; Malik, Arif; Langer, Kristina; Spradlin, Thomas J.; Hatamleh, Mohammad I.

doi:10.1115/1.4033604

Cited by 13 publications

(3 citation statements)

References 26 publications

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“…For R d = 50 × 10 −5 , it only took 2 µs to become stabilized without variation in the internal energy. Hasser et al [17] also reported that the kinetic energy decreases quickly as damping increases. The model without damping showed the largest internal energy.…”

Section: Lsp Fe Simulation Setupmentioning

confidence: 95%

“…As a simulation method, the pressure loads were applied through explicit analysis and residual stress was analyzed by implicit analysis. As shown in Figure 1, Hasser et al [17] proposed SEATD analysis, which does not need to switch into implicit analysis but applies time-dependent damping after the loading period to stabilize the model. This method was performed six-times faster in terms of the total calculation time than the 2N + 1 analysis method that was proposed by Brockman et al [18].…”

Section: Introductionmentioning

confidence: 99%

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FE Analysis of Laser Shock Peening on STS304 and the Effect of Static Damping on the Solution

Kim

Suh

Shin

et al. 2021

Metals

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Laser shock peening creates compressive residual stress on the surface of the material, reducing stress corrosion cracking and increasing fatigue life. FE simulation of laser shock peening is an effective way to determine the mechanical effects on the material. In conventional FE simulations of laser shock peening, explicit analysis is used while pressure loads are applied and switched into implicit analysis to dissipate kinetic energy. In this study, static damping was adopted to dissipate kinetic energy without conversion into implicit analysis. Simulation of a single laser shock and multiple shocks was performed, and deformation and minimum principal stress were compared to evaluate the static damping effect. The history of the internal and kinetic energy were analyzed to compare the stabilization time depending on the damping value. Laser shock peening experiments were also performed on stainless steel 304 material. The residual stress of the specimen was measured by the hole drilling method and it was compared to the FE simulation result. The residual stress from the experiment and the simulation results showed similar distributions in the depth direction. Anisotropic residual stress distribution due to the laser path was observed in both results.

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Section: Lsp Fe Simulation Setupmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

FE Analysis of Laser Shock Peening on STS304 and the Effect of Static Damping on the Solution

Kim

Suh

Shin

et al. 2021

Metals

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“…5. Metamodels based on extensive campaigns of FEM simulations [17] [18]. The meta-models obviously have a relatively large computational cost during the model-building phase, but they can be used on-line.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Metamodeling of the Air Bending Process

Strano

Semeraro

Iorio³

et al. 2018

Journal of Manufacturing Science and Engineering

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Despite the tremendous effort of researchers and manufacturing engineers in improving the predictability of the air bending process, there is still a strong need for comprehensive and dependable prediction models. Currently, available modeling approaches all present some relevant limitations in practical applications. In this paper, we propose a new method, which represents an improvement over all existing modeling and prediction techniques. The proposed method can be used for accurate prediction of the main response variables of the air bending process: the angle α after springback and the bend deduction BD. The metamodeling method is based on the hierarchical fusion of different kinds of data: the deterministic low-fidelity response of numerical finite element method (FEM) simulations and the stochastic high fidelity response of experimental tests. The metamodel has been built over a very large database, unprecedented in the scientific literature on air bending, made of more than 500 numerical simulations and nearly 300 experimental tests. The fusion is achieved first by interpolating the FEM simulations with a kriging predictor; then, the hierarchical metamodel is built as a linear regression model of the experimental data, using the kriging predictor among the regressors. The accuracy of the method has been proved using a variant of the leave-one-out cross validation technique. The quality of the prediction yielded by the proposed method significantly over-performs the current prediction of the press brake on-line numerical control.

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