Multidroplet Impact Model for Prediction of Residual Stresses in Water Jet Peening of Materials

Rajesh, Naga; Babu, N. Ramesh

doi:10.1080/10426910500411736

Cited by 17 publications

(10 citation statements)

References 6 publications

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“…At an impact speed of 500 m/s, after 4 impacts, the maximum residual compressive stress is -345 MPa (-1.06R p0.2 ) and is obtained at 0.07 mm under the surface, and the depth of the compressive stress zone is 0.2 mm. Rajesh 49,50 performed multi-droplet impact FE-modelling to predict the residual stresses due to water jet peening for three grades of aluminium. For this modelling approach, a transient elastoplastic finite element analysis is used by considering the impingement of a set of droplets in succession to one another over a certain time period.…”

Section: Discussionmentioning

confidence: 99%

Fatigue-based model for the droplet impingement erosion incubation period of metallic surfaces

Slot¹,

Matthews

Schipper

et al. 2020

Preprint

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Droplet impingement of metallic surfaces at high impact velocities results, after some time, in erosion of the surface due to fatigue. By extending our previously published analytical model to enable the use of experimental fatigue data (S-N curves), here, for the first time, a wide range of experimental liquid droplet erosion incubation period test states for both ferrous (stainless steel AISI 316) and non-ferrous (aluminium 6061-T6) engineering metals have been investigated. To achieve this, the developed model includes additional surface hardening and a residual compressive stress state at the surface due to a water drop peening effect. As such, the interrelation of the physical and mechanical properties that follows from the model has been used to identify how changes in selected metal properties might enhance droplet impingement erosion incubation life. Model predictions for both metals, using fatigue data from S-N curves from different literature sources, showed for the droplet impact velocity range of 140 to 400 m/s an excellent agreement with results from a multi-regression equation as determined from an ASTM interlaboratory test program.

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Section: Discussionmentioning

confidence: 99%

Fatigue-based model for the droplet impingement erosion incubation period of metallic surfaces

Slot¹,

Matthews

Schipper

et al. 2020

Preprint

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“…During the last two decades many works have been presented by using numerical methods, especially by the finite element method (FEM). The main subjects include prediction and measurement of residual stresses; residual stresses and deformations in quenching [4][5][6]; prediction of thermal residual stresses [7]; thermo-plasticity and thermo-viscoplasticity for residual stresses [8]; residual stresses and distortions in various quenched components [9][10][11][12][13]; effect of geometry and boundary conditions on residual stresses [14,15], etc. Many measurement methods are used to determine the residual stresses to verify the correctness of the simulation results, such as the hole-drilling method, layer-stripped method, X-ray diffraction method, neutron diffraction method, etc.…”

Section: Thermal-elastic-plastic Simulation Of Internal Stress Fieldsmentioning

confidence: 99%

Thermal–Elastic–Plastic Simulation of Internal Stress Fields of Quenched Steel 40Cr Cylindrical Specimens by FEM

Liu

Liao

et al. 2011

Materials and Manufacturing Processes

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The aim of this article is to study the internal stress evolution law of quenched specimens with complex phase transformation during the cooling process. The complex phase transformations were treated by analyzing the expansion coefficient evolution of steel 40Cr and the finite element method (FEM) was used to build the thermal-elastic-plastic simulation model based on ANSYS software. Then the internal stress fields of steel 40Cr during the quenching process were simulated. The mechanical parameters used in internal stress numerical simulation were measured by using a Gleeble-3500 thermal/mechanical simulator (DSI, Poestenkill, NY). The residual internal stress field of the oil-quenched specimen was measured by using an X-305A X-ray stress analyzer. The simulated behaviors fit well with the experimental data, which indicates that the model is practical to be used in the simulation of quenched specimens and helpful to understand the evolution of the internal stress during quenching process.

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“…Subsequently, Kunaporn et al [10] proposed a mathematical model capable of predicting critical standoff distance under different WJP conditions. Rajesh et al [11,12] proposed a finite element method that considers the jet pressure distribution of high-velocity droplets impacting on the target surface rather than the stationary pressure distribution, and used ANSYS to simulate the process of WJP on Al6063-T6 alloy; the RS obtained by the simulation model was compared with the experimental results, and the deviation was about 10%. Based on the quasi-static pressure distribution and the nonlinear axial symmetry plane distributed load, Dong et al [13] used ANSYS to simulate the process of WJP on Al2A11 alloy under different pressures, and obtained the distribution of the RS field and the variation law of RS along the layer depth and radial direction.…”

Section: Introductionmentioning

confidence: 99%

“…Previous work decreased the erosion to a minimum (i.e., erosion can be almost neglected) by increasing jet traverse velocity and adjusting other parameters [6]. In addition, Rajesh [12], Hsu [14], and Cho [16] et al neglected erosion when studying WJP; thus, erosion was neglected in the finite element model. According to the actual diameter of the water jet, a pressure distribution of 0.3 mm in diameter was determined; a target model of 10 mm in length, 8 mm in width, and 3 mm in height ( Figure 5) was established.…”

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confidence: 99%

Mathematical Model and Verification of Residual Stress Induced by Water Jet Peening

Zhao

et al. 2019

Metals

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The water jet peening (WJP) technology can induce compressive residual stress (RS) in metal surfaces and, thus, improve the fatigue life of components. In this paper, a mathematical model is proposed for calculating the RS induced by WJP. To validate the proposed mathematical model, experimental and finite element simulation verifications were carried out on Al6061-T6. The distribution of RS along the depth direction, the maximum compressive RS, and the depth of the compressive RS layer were also investigated based on the mathematical model. Results showed that the error of maximum compressive RS between the mathematical model and experiment was within 9% under a jet pressure of 60 MPa, and the error of depth of the compressive RS layer between the mathematical model and experiment was within 13% under a jet diameter of 0.3 mm. Hence, the mathematical model is reliable and accurate. The maximum compressive RS increases with the increase in jet pressure, and the depth of the compressive RS layer approximately linearly increases with the increase in jet diameter.

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Multidroplet Impact Model for Prediction of Residual Stresses in Water Jet Peening of Materials

Cited by 17 publications

References 6 publications

Fatigue-based model for the droplet impingement erosion incubation period of metallic surfaces

Fatigue-based model for the droplet impingement erosion incubation period of metallic surfaces

Thermal–Elastic–Plastic Simulation of Internal Stress Fields of Quenched Steel 40Cr Cylindrical Specimens by FEM

Mathematical Model and Verification of Residual Stress Induced by Water Jet Peening

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