Simulation of laser shock peening on X12Cr steel using an alternate computational mechanical threshold stress plasticity model

Fameso, Festus; Desai, Dawood; Kok, Schalk; Newby, Mark; Glaser, Daniel

doi:10.1007/s00170-020-06079-y

Cited by 14 publications

(9 citation statements)

References 17 publications

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“…The outcomes enable decision-makers to capture the varying component conditions in one infrastructure system (i.e., stormwater drainage system) and depict the aggravated adverse impacts on its interdependent infrastructure system (i.e., road transport system) after a hazard has occurred. The continuous advancement and development of high-performance computing technology according to [26] and [27] has opened up vistas of new possibilities and opportunities in applied scientific research, paving the way for deeper investigations than as witnessed in the past. This has also found application in flood modelling and management as demonstrated by [28] in their assessment of dual-drainage modelling to determine the effects of green stormwater infrastructure on roadway flooding and traffic performance using microscopic flow simulations to examine the specific hazard of roadway flooding and the effects of flooding on traffic performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Boundary Layer Modelling of Flow Acceleration and Energy Transfer Effects in Smart Pavement Design

Fameso,

Ndambuki,

Kupolati

et al. 2024

Sci. Eng. Technol.

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The integration of remote technology into the construction industry has advanced the emergence of smart, self-learning infrastructure across all levels of land transportation design and development. However, energy harvesting capabilities for smart road ventilation purposes have not yet been fully researched as the world gravitates towards energy sustainability. This study thus presents a mathematical investigation of the self-draining design potentials of road pavements, leveraging on energy absorption and conversion to accelerate conductive and convective ventilation of these pavements during wet conditions, as a means of ensuring the skid resistance and safety of such pavements are not compromised. Applying numerical methods with the aid of commercial software code MATLAB®, the classical physics of fluid-surface interaction was used to model accelerated drainage of microflood off paved surfaces through methodical modification of the thickness of the boundary layer associated with the flow regime over the flat road surface. Results indicate significant influences of energy exchange, thermal, and viscous diffusivity on flow acceleration. Alterations in parameters such as the slip factor, thermally induced Brownian motion or phoretic characteristics of the fluid particles at the boundary induce accelerated flow at the surface of the pavement. The findings contribute to the advancement of smart infrastructure by offering practical insights into the potential benefits of integrating energy-harvesting technologies into road pavement systems. By optimizing flow acceleration mechanisms, smart pavements can play a crucial role in improving road safety and sustainability in urban environments.

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Section: Literature Reviewmentioning

confidence: 99%

Boundary Layer Modelling of Flow Acceleration and Energy Transfer Effects in Smart Pavement Design

Fameso,

Ndambuki,

Kupolati

et al. 2024

Sci. Eng. Technol.

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“…Materials models are based on physics, generally inspired by thermodynamics and slip kinetics, and usually have a complex form [7][8][9][10][11][12]. Some frequently used Metallic Alloys Material Models are the Zirilli-Armstrong (ZA) model [13], the Bodner-Partom model (BP) [14], the mechanical threshold plasticity model (MTS) [15], the Nemat-Nasser-Guo model (NN-G) [16], and the Khan-Huang-Liang model (KHL) [17]. However, the effective prediction of the mechanical behavior of materials and design of mechanical components subjected to different strain rate and various temperatures is generally performed with the Johnson-Cook (JC) model [18].…”

Section: Introductionmentioning

confidence: 99%

A Combined Experimental and Numerical Calibration Approach for Modeling the Performance of Aerospace-Grade Titanium Alloy Products

Tuninetti,

Sepúlveda,

Beecher

et al. 2024

Aerospace

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Finite element modeling for designing and optimizing lightweight titanium aerospace components requires advanced simulation tools with adequate material modeling. In this sense, a hybrid strategy is proposed in this work to identify the parameters of the Johnson–Cook plasticity and damage laws using a combined direct-inverse method. A direct calibration method for plasticity law is applied based on the literature-reported data of strain-stress curves from experimental tensile tests at different temperatures and strain rates. The triaxiliaty-dependent fracture parameters of the Johnson–Cook damage law at reference conditions of strain rate and temperature (d1, d2, and d3) are calibrated with the direct method based on new data of experimental evolution of computed average fracture strain with the average stress triaxiality. The validation is performed with numerical results from an accurate micromechanics-based Ti64 model. The inverse calibration method is used to determine the strain rate and temperature-dependent damage parameters (d4 and d5) through large strain simulations of uniaxial tensile tests. The numerical results, including average strain and necking profile at fracture, are then utilized to calculate stress triaxiality by the Bridgman criterion for adjusting parameters d4 and d5. The calibrated model yields a 2.1% error for plasticity and 3.4% for fracture predictions. The experimental and simulated load-bearing capacity using the micromechanics damage model differed by only 1%. This demonstrates that the SC11–TNT model of Ti64 is reliable for identifying the Johnson–Cook damage law through the accurate use of inverse methods. The hybrid calibration strategy demonstrates the potential capability of the identified Johnson–Cook model to accurately predict the design load-carrying capacity of Ti64 aerospace components under different deformation rates and temperatures while accounting for material damage effects.

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“…However, once the strain rate is exceeded, it will cause a large deviation in the simulation results, similar to the Z-A constitutive model. The MTS [11] constitutive model can accurately reflect the change in the flow stress of the material at a high strain rate and can well express the plastic deformation coupling mechanism of the two-phase material. The only drawback is that the model lacks the viscous effect.…”

Section: Introductionmentioning

confidence: 99%

Identification of the Constitutive Parameters of Viscosity and the Prediction of the Cutting Force of S32760 Duplex Stainless Steel under a High Strain Rate

Zhang

Yang

et al. 2023

Applied Sciences

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The mechanical properties of S32760 duplex stainless steel under dynamic loading conditions at high strain rates are significantly different from those under quasi-static conditions. As a result of large strain, high strain rate, and high temperature, the analysis of the cutting process needs to factor in the influence of the viscous behavior of the material on the plastic deformation process. Based on the viscous effect of the two phases and the mixing rule, a mechanical threshold stress (MTS) constitutive model of S32760 duplex stainless steel considering the viscous effect is established to analyze the effect of strain rate on flow stress. An inverse identification method of the constitutive parameters based on Oxley's theory is proposed. The constitutive parameters of S32760 duplex stainless steel were reversely modified using an equal shear zone model and an orthogonal cutting experiment. The results show that the viscosity of the austenite phase was greater than that of the ferrite phase, and the strain rate had the greatest influence on the viscosity effect in the constitutive model. The prediction error of the constitutive model constructed in this manuscript was less than 4%, which had high accuracy.

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Simulation of laser shock peening on X12Cr steel using an alternate computational mechanical threshold stress plasticity model

Cited by 14 publications

References 17 publications

Boundary Layer Modelling of Flow Acceleration and Energy Transfer Effects in Smart Pavement Design

Boundary Layer Modelling of Flow Acceleration and Energy Transfer Effects in Smart Pavement Design

A Combined Experimental and Numerical Calibration Approach for Modeling the Performance of Aerospace-Grade Titanium Alloy Products

Identification of the Constitutive Parameters of Viscosity and the Prediction of the Cutting Force of S32760 Duplex Stainless Steel under a High Strain Rate

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