Development of an improved prediction method for the yield strength of steel alloys in the Small Punch Test

Calaf-Chica, José; Díez, Pedro Miguel Bravo; Calzada, Mónica Preciado

doi:10.1016/j.matdes.2018.03.064

Cited by 31 publications

(14 citation statements)

References 14 publications

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“…The SPT simulations (Figure 4 shows a view of the numerical model) were done in a similar way as used in previous research [22]. The mechanical properties used in these analyses are shown in Table 1.…”

Section: Resultsmentioning

confidence: 99%

“…The geometry and the setup of the SPTs were the same as the ones analyzed in the previous numerical calculations. These experimental data were partially obtained in a previous study [22]. …”

Section: Resultsmentioning

confidence: 99%

“…The yield strength used in Equation (10) was the value obtained from the SPT curve via the Slope ini method (Equation (12)) [22].

σ_{y} = 37.437 \cdot e^{1.7995 \cdot 10^{- 4} \cdot S l o p e_{i n i} / t}

…”

Section: Resultsmentioning

confidence: 99%

“…The comparison of this new method with P m methods ( P m /t 2 and P m /tu m ) and the F i method showed that the greatest level of fit is reached using the Slope min method.The Slope min method combined with the Slope ini method [22] was shown to be a good methodology for obtaining the yield strength and the ultimate tensile strength using the SPT curve data punch displacements under 0.5 mm. Brittle materials, which show premature failures in the SPT and where a common correlation method fails, could be characterized by these methods ( Slope ini and Slope min ).…”

Section: Discussionmentioning

confidence: 99%

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A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test

2018

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The load–deflection curve acquired from the Small Punch Test (SPT) is used to obtain the mechanical properties of materials using different correlation methods. The scattering level of these regressions tends to be high when a wide set of materials is analyzed. In this study, a correlation method based on a specific slope of the SPT curve was proposed to reduce scattering. Assuming the Ramberg–Osgood hardening law, the dependence of the SPT curve slope on the yield strength and the hardening coefficient is demonstrated by numerical simulations (FEM). Considering that the ultimate tensile strength could be obtained from the hardening coefficient, a response surface of the ultimate tensile strength with the yield strength and SPT curve slope, along with its equation, is presented for steel alloys. A summary of steel mechanical properties, based on the Boiler and Pressure Vessel Code (BPVC) and limited to yield strengths lower than 1300 MPa, is shown to select a set of experimental tests (tensile tests and SPTs) for which the range is completely covered. This experimental analysis validates the previous FEM analyses and the validity of the proposed correlation method, which shows more accurate correlations compared to the current methods.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…The yield strength used in Equation (10) was the value obtained from the SPT curve via the Slope ini method (Equation (12)) [22].

σ_{y} = 37.437 \cdot e^{1.7995 \cdot 10^{- 4} \cdot S l o p e_{i n i} / t}

…”

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test

2018

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“…Chica et al studied the elastic modulus of materials based on this experiment [25]. Chica et al studied how to identify the yield parameters of materials based on this experiment [26]. Priel et al modeled and analyzed the material strength and obtained the identification method of material strength [27].…”

Section: Introductionmentioning

confidence: 99%

A Fast Identification Method of Yield Strength of Materials Based on Bending Experimental Data

Duan

Tian

Zhang

et al. 2020

Metals

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Identifying the yield strength of materials quickly and accurately is the key to realizing defect prediction and digital process control on the production line. This paper focuses on identifying the material yield strength based on bending deformation, analyzing the influence of different die fillets, punch fillets, and die spans on the curve shapes, determining the reasonable dimensions of the device, and developing them. Two methods for rapidly extracting the yield load are proposed—the window vector method (WV) and the fitting residual method (FR)—and compared with the double secant line method (CWA) and the one tenth thickness method (t/10). Because there is no direct correspondence between the yield load and the material performance parameters, the relevant equations were fitted using the experimental data. The linear correlation between load and yield strength determined by these four methods was close to 0.99. Finally, four kinds of sheets with high, medium and low yield strength were tested and compared with the observed results. The result shows that when the yield strength is small, the average error and the relevant model dispersion will increase. As the yield strength increases, the biases increase gradually. The prediction errors based on the t/10, WV, and FR methods were all below 4%.

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Mechanics of the small punch test: a review and qualification of additive manufacturing materials

Torres

Gordon

2021

J Mater Sci

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The small punch test (SPT) was developed for situations where source material is scarce, costly or otherwise difficult to acquire, and has been used for assessing components with variable, location-dependent material properties. Although lacking standardization, the SPT has been employed to assess material properties and verified using traditional testing. Several methods exist for equating SPT results with traditional stress–strain data. There are, however, areas of weakness, such as fracture and fatigue approaches. This document outlines the history and methodologies of SPT, reviewing the body of contemporary literature and presenting relevant findings and formulations for correlating SPT results with conventional tests. Analysis of literature is extended to evaluating the suitability of the SPT for use with additively manufactured (AM) materials. The suitability of this approach is shown through a parametric study using an approximation of the SPT via FEA, varying material properties as would be seen with varying AM process parameters. Equations describing the relationship between SPT results and conventional testing data are presented. Correlation constants dictating these relationships are determined using an accumulation of data from the literature reviewed here, along with novel experimental data. This includes AM materials to assess the fit of these and provide context for a wider view of the methodology and its interest to materials science and additive manufacturing. A case is made for the continued development of the small punch test, identifying strengths and knowledge gaps, showing need for standardization of this simple yet highly versatile method for expediting studies of material properties and optimization.

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Development of an improved prediction method for the yield strength of steel alloys in the Small Punch Test

Cited by 31 publications

References 14 publications

A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test

A New Prediction Method for the Ultimate Tensile Strength of Steel Alloys with Small Punch Test

A Fast Identification Method of Yield Strength of Materials Based on Bending Experimental Data

Mechanics of the small punch test: a review and qualification of additive manufacturing materials

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