A sequential DEM-FEM coupling method for shot peening simulation

Tu, Fubin; Delbergue, Dorian; Miao, Hengfeng; Klotz, T.; Brochu, Myriam; Bocher, Philippe; Lévesque, Martin

doi:10.1016/j.surfcoat.2017.03.035

Cited by 74 publications

(38 citation statements)

References 39 publications

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“…The coupling of FE analysis for modeling the subsurface behavior with SPH (Smooth Particles Hydrodynamics) or DEM (Discrete Element Methods) allows to consider the description of the flow of shots and its interaction with any surface. Murugaratnam et al (2015), Tu et al (2017) and Zhang et al (2018) relied on analogous DEM-FEM approaches to model coverage, roughness and residual stresses profiles. The positions and initial velocities of shots are output from a DEM software and applied as initial condition in a FE analysis.…”

Section: Introductionmentioning

confidence: 99%

Shot peening of TRIP780 steel: Experimental analysis and numerical simulation

Kubler

Berveiller

Bouscaud

et al. 2019

Journal of Materials Processing Technology

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. This is an author-deposited version published in: https://sam.ensam.eu Handle ID ABSTRACTThis study aims at the experimental and numerical analysis of TRIP780 steel after conventional shot peening. TRIP steels exhibit a multiphase microstructure with martensitic transformation of the retained austenite during shot peening. In-depth experimental analysis are carried out with microhardness and X-ray diffraction. Residual stresses profiles are determined in the pseudo-ferritic phases (α + α′) and in the retained austenite γ. A representative finite element model of shot peening with a material behavior law describing the multiphase microstructure and the martensitic phase transformation during loading is proposed. The results are compared to experimental data and the effect of martensitic transformation is numerically investigated.

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Section: Introductionmentioning

confidence: 99%

Shot peening of TRIP780 steel: Experimental analysis and numerical simulation

Kubler

Berveiller

Bouscaud

et al. 2019

Journal of Materials Processing Technology

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“…For numerically evaluating Almen intensity, Almen arc height h was related to residual stress profile through equation 5by Guagliano 39 and related to impact number N by Miao et al 44 using equation (6). These two equations were derived through fitting simulation results derived by other researchers such as Miao 89 and Tu et al 106 Other equations to predict arc height of intensity through either coverage or number were derived by Kim et al 79 based on an area-averaged solution. Encouragingly, results predicted by the two equations corresponded well with the experimental results obtained from Kim et al 24,34 The latest progress in this aspect is the prediction function for Almen height which was derived through the regression method.…”

Section: Shot Shape and Materialsmentioning

confidence: 99%

Literature review of numerical simulation and optimisation of the shot peening process

Chen

Desai

Heyns

et al. 2019

Advances in Mechanical Engineering

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This work provides a comprehensive review of numerical simulation and optimisation of the shot peening found in the existing literature over the past 10 years. The review found that the developed numerical models coupling finite elements with discrete elements became increasingly mature and showed their advantages in incorporating flow behaviour and randomness of shots. High emphasis must be placed on the constitutive equations of target material where its strain-rate sensitivity, cyclic behaviour and Bauschinger effects are recommended to be incorporated in the numerical material model simultaneously since considering one of them in isolation may lead to unreliable distribution of residual stresses. Furthermore, material hardening is a critical benefit of shot peening; however, it has not received its deserved attention from the existing investigations, neither in simulation nor in optimisation. The study found that intensity and coverage are two critical control parameters recommended to be constraints for optimisation of shot peening. Finally, this work also found that developed heuristic algorithms, such as genetic algorithms have recently showed their advantages for searching optimal combinations of peening parameters. It is plausible that in the near future, the synergy of combining these algorithms with approximation models can be expected to gain more attention by researchers.

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“…Current computer resources required to use Finite Element Method (FEM) alone for realistic shot-peening investigations are still not feasible. This paved the way for the use of the discrete element method (DEM) more recently, either alone or coupled with FEM concurrently by Han et al [25], Jebahi et al [26], or sequentially by Murgaratnam et al [27], Bhuvaraghan et al [28], and Fubin-Tu et al [29], to overcome the challenges associated with the FEM method.…”

Section: Introductionmentioning

confidence: 99%

“…The work is patterned after the work of Bhuvaraghan et al [28], where the pressure equivalent of the force was applied to the component using a fixed dent size of a single normal impact as the area of contact via an approximated mesh size. That approach, however, has considerable limitations with respect to a realistic SP process, as highlighted by Fubin-Tu et al [29], as well as with respect to its accuracy, since dents formation in a realistic SP cannot be uniform. The radius of the dent formed depends on the angle of impact, which is seldom normal to the workpiece surface, more so considering the shot-shot collision effects, which reduce the likelihood of a normal impact.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Investigation of a Single-Shot in a DEM-FEM Approach to Shot Peening Simulation

Edward

Heyns

Kok

2019

Metals

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Shot peening (SP) is a controlled and systematic process of surface treatment that has a large number of controllable process parameters that make its application highly challenging. It involves the shooting of small and hard metallic balls at a targeted surface, with the aim of enhancing the fatigue strength of the workpiece under unfavorable service conditions. The compressive residual stress (CRS) induced by this application is expensive to evaluate experimentally. This paper presents a numerical model of the impact of a single-shot on a metallic surface, with the aim to set the stage for a realistic multiple shots peening simulation. The approach proposed herein is a sequential Discrete Element-Finite Element (DE-FE) coupled simulation, based on the use of different types of coefficients of restitution (CoRs) with emphasis on the energetic CoR. The energetic CoR relates the shot/target contact forces to the fractional strain energy needed for localized plastic deformation of the near-surface layer in the workpiece. The generated results of the induced compressive residual stresses (CRS) and equivalent plastic strain (PEEQ) from single-shot simulations are validated with similar results from the literature. Our study clarifies the strain energy aspects of a single-shot impact responsible for the desired effects of CRS and PEEQ, thereby laying the groundwork for accurate and realistic modeling of the SP process via the DEM-FEM approach.

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A sequential DEM-FEM coupling method for shot peening simulation

Cited by 74 publications

References 39 publications

Shot peening of TRIP780 steel: Experimental analysis and numerical simulation

Shot peening of TRIP780 steel: Experimental analysis and numerical simulation

Literature review of numerical simulation and optimisation of the shot peening process

A Numerical Investigation of a Single-Shot in a DEM-FEM Approach to Shot Peening Simulation

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