Estimation of yield and ultimate stress using the small punch test method applied to non-standard specimens: A computational study validated by experiments

Priel, Esther; Mittelman, Brigit; Haroush, S.; Turgeman, A.; Shneck, R.; Gelbstein, Yaniv

doi:10.1016/j.ijmecsci.2017.11.040

Cited by 18 publications

(10 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…70 Thickness has a significant effect, especially for thinner specimens, therefore additional corrections should be used. 79 Inverse FEA could be used to acquire yield strength and could achieve good agreement with standard test results. 46 An analytical solution based on classical plate theory could also be used.…”

Section: Tensile Testingmentioning

confidence: 98%

“…90 The results from thinner specimens require additional corrections to be representative of bulk material. 79 If full size specimens were manufactured in a way that resulted in anisotropy between outer surface and the centre of the specimen, testing SPT specimens cut as slices from the gauge section of the standard specimens did not result in the same material properties as standard specimens. 22 When a standard specimen is tested the difference in material properties is averaged out, but when a SPT specimen is tested only the central region is actually tested.…”

Section: Tensile Testingmentioning

confidence: 99%

See 1 more Smart Citation

Small specimen techniques for estimation of tensile, fatigue, fracture and crack propagation material model parameters

Kazakeviciute

Rouse

Focatiis

et al. 2021

The Journal of Strain Analysis for Engineering Design

View full text Add to dashboard Cite

Small specimen mechanical testing is an exciting and rapidly developing field in which fundamental deformation behaviours can be observed from experiments performed on comparatively small amounts of material. These methods are particularly useful when there is limited source material to facilitate a sufficient number of standard specimen tests, if any at all. Such situations include the development of new materials or when performing routine maintenance/inspection studies of in-service components, requiring that material conditions are updated with service exposure. The potentially more challenging loading conditions and complex stress states experienced by small specimens, in comparison with standard specimen geometries, has led to a tendency for these methods to be used in ranking studies rather than for fundamental material parameter determination. Classifying a specimen as ‘small’ can be subjective, and in the present work the focus is to review testing methods that utilise specimens with characteristic dimensions of less than 50 mm. By doing this, observations made here will be relevant to industrial service monitoring problems, wherein small samples of material are extracted and tested from operational components in such a way that structural integrity is not compromised. Whilst recently the majority of small specimen test techniques development have focused on the determination of creep behaviour/properties as well as sub-size tensile testing, attention is given here to small specimen testing methods for determining specific tensile, fatigue, fracture and crack growth properties. These areas are currently underrepresented in published reviews. The suitability of specimens and methods is discussed here, along with associated advantages and disadvantages.

show abstract

Section: Tensile Testingmentioning

confidence: 98%

Section: Tensile Testingmentioning

confidence: 99%

Small specimen techniques for estimation of tensile, fatigue, fracture and crack propagation material model parameters

Kazakeviciute

Rouse

Focatiis

et al. 2021

The Journal of Strain Analysis for Engineering Design

View full text Add to dashboard Cite

show abstract

“…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]. However, the elastic deformation stage of this experiment is very short, and high-precision equipment is required to ensure the accuracy of its elasticity and yield identification [28].…”

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

View full text Add to dashboard Cite

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%.

show abstract

“…Chica et al have identified and studied the yield parameters of the material based on SPT [27]. Prieletal analyzed material strength based on SPT, and material strength identification method was established [28].…”

Section: Introductionmentioning

confidence: 99%

“…There is a transition portion of SPT curve, which is related to yield behavior, and it can be used to identify the yield strength. However, the deformation mode of SPT changes at different thickness of sheet metal [31]. When the material is thin, the plate bending is weakened, and the membrane stretching arrives early.…”

Section: Introductionmentioning

confidence: 99%

Yield Characteristics Strengthening and Yield Strength Anti-Dispersion Identification Based on Bending Deformation

Duan

Qiao

Zhang

et al. 2020

Preprint

View full text Add to dashboard Cite

The online derivation of material yield is important for consistency control of product quality. Compare with other deformation, bending deformation is more suitable for online identification. The transition portion of bending force stroke curve is related to the yield strength of material, but for a wide set of materials with different thickness and properties, its longer transition curve shows higher identification scattering. In this paper, the yield characteristics strengthening method and the new anti-dispersion identification method are studied to reduce the scattering. It is found that the yield characteristics are comprehensively affected by several factors. The higher yield strength, together with thinner thickness, can weaken the yield characteristics. The thicker material with wider die span can strengthen the yield characteristics. Window vector method (WV) and standardized fitting residual method (SFR) are proposed. Through the numerical study found that the yield load obtained by WV method shows a most accurate correlation with yield strength. A novel piecewise correlation equation is proposed and added a thickness variable to eliminate partial dispersion from varied thickness. Furthermore, this paper uses the experimental data to extract the generalization error of new correlation model fitted by yield loads from WV method, maximum error is below 12%. This method can improve the accuracy and efficiency of online ranking materials.

show abstract

Estimation of yield and ultimate stress using the small punch test method applied to non-standard specimens: A computational study validated by experiments

Cited by 18 publications

References 12 publications

Small specimen techniques for estimation of tensile, fatigue, fracture and crack propagation material model parameters

Small specimen techniques for estimation of tensile, fatigue, fracture and crack propagation material model parameters

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

Yield Characteristics Strengthening and Yield Strength Anti-Dispersion Identification Based on Bending Deformation

Contact Info

Product

Resources

About