A novel inverse methodology for the extraction of bulk elasto-plastic tensile properties of metals using spherical instrumented indentation

The need for large samples with specific geometries and the destructive nature of conventional tensile testing pose a challenge in the rapid mechanical characterization of metal matrix composites (MMCs). Herein, the efficacy of a high‐throughput profilometry‐based indentation plastometry (PIP) technique for evaluating bulk tensile properties of SiC‐reinforced aluminum MMC with minimum sample volume and preparation is investigated. Plastic properties, namely yield strength (YS), ultimate tensile strength (UTS), and elongation up to necking (εn) in aluminum composites reinforced with 0, 17.5, and 25 vol% of SiC from PIP, are compared with uniaxial tensile tests. While PIP estimations of YS for all composites and UTS for Al‐17.5 vol% SiC are accurate within 3–6%, those of UTS in 25 vol% and εn in all composites show significant deviation from tensile test data. These deviations are attributed to the PIP overestimation of strength due to local SiC crowding beneath the indenter and the limitation of the Voce plasticity‐based FEM simulation in capturing brittle behavior of high vol% reinforcement. Herein, the high‐throughput PIP technique that can be reliably extended to MMCs with low volume (≈17.5%) of SiC reinforcements is established, thus harboring potential for advancement in the nondestructive testing of MMCs.

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“…Therefore, there is no direct correlation between indentation data and the true stress–strain response of the material. [ 14 ]…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, there is no direct correlation between indentation data and the true stress-strain response of the material. [14] Another factor is the applicability of load on a large representative volume from which the bulk tensile property is probed. In DOI: 10.1002/adem.202201890…”

Section: Introductionmentioning

confidence: 99%

Profilometry‐Based Indentation Plastometry for Evaluating Bulk Tensile Properties of Aluminum‐Silicon Carbide Composites

et al. 2023

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“…Nonetheless, these important mechanical structures, such as pressure vessels, welded joints, and long-distance pipelines, produce intricate local material changes during the molding process. Furthermore, demanding service environment, such as temperature, pressure, and electrochemical corrosion, can also lead to the phenomenon of "degradation" in structural materials [2][3]. These factors contribute to the heterogeneous distribution of mechanical properties within the structure, significantly influencing its strength and failure characteristics [4].…”

Section: Introductionmentioning

confidence: 99%

A novel method for predicting local plastic mechanical properties of metal structures by integrating microstructure and instrumented indentation technique

Zhang,

Xue

2024

Preprint

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Most important mechanical structures produce complex variations in local material mechanical properties during molding and in-service processes. Accurate testing of material mechanical properties is fundamental to structural integrity assessment. Instrumented indentation technique (IIT) plays a critical role in on-site testing of local structural mechanical properties. However, establishing a precise correlation between the indentation response and uniaxial stress-strain remains challenging in IIT. In this study, we utilized finite element inversion method to explore the quantitative relationship between the indentation response and plastic mechanical properties. Considering that the plastic deformation stages of these metals may exhibit either linear hardening or power-law hardening behavior, a single constitutive model cannot meet the accuracy requirements of IIT. Hence, methods for acquiring mechanical properties suitable for power-law hardening and linear hardening were established respectively based on the analysis of the microstructures of materials exhibiting different hardening behaviors. An integrated IIT approach, considering both microstructure and corresponding material constitutive models, was proposed.Moreover, the influence of elemental composition on microstructure and hardening behavior was investigated. The accuracy of the method was validated with various materials, including austenitic stainless steel, structural steel, and low-alloy steel. Given the universality and reliability of this approach, it is expected to provide theoretical and technical references for the advancement of IIT and structural integrity assessment in important mechanical structures.

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“…The Inverse FE approach is not without its own problems, as demonstrated by several research groups [4,[6][7][8][9][10][11][12] where the solutions are often non-unique. These non-unique solutions fit the test data with identical error levels to the actual solution, as if the model has been successfully characterized.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Improving Inverse Finite Element Method Material Characterization for the Mooney–Rivlin Material Model through Constrained Optimization

Venter

2023

MCA

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The inverse finite element method is a technique that can be used for material model parameter characterization. The literature shows that this approach may get caught in the local minima of the design space. These local minimum solutions often fit the material test data with small errors and are often mistaken for the optimal solution. The problem with these sub-optimal solutions becomes apparent when applied to different loading conditions where significant errors can be witnessed. The research of this paper presents a new method that resolves this issue for Mooney–Rivlin and builds on a previous paper that used flat planes, referred to as hyperplanes, to map the error functions, isolating the unique optimal solution. The new method alternatively uses a constrained optimization approach, utilizing equality constraints to evaluate the error functions. As a result, the design space’s curvature is taken into account, which significantly reduces the amount of variation between predicted parameters from a maximum of 1.934% in the previous paper down to 0.1882% in the results presented here. The results of this study demonstrate that the new method not only isolates the unique optimal solution but also drastically reduces the variation in the predicted parameters. The paper concludes that the presented new characterization method significantly contributes to the existing literature.

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A novel inverse methodology for the extraction of bulk elasto-plastic tensile properties of metals using spherical instrumented indentation

Cited by 4 publications

References 28 publications

Profilometry‐Based Indentation Plastometry for Evaluating Bulk Tensile Properties of Aluminum‐Silicon Carbide Composites

Profilometry‐Based Indentation Plastometry for Evaluating Bulk Tensile Properties of Aluminum‐Silicon Carbide Composites

A novel method for predicting local plastic mechanical properties of metal structures by integrating microstructure and instrumented indentation technique

A New Method for Improving Inverse Finite Element Method Material Characterization for the Mooney–Rivlin Material Model through Constrained Optimization

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