Validation and improvement in metallic material tensile models for small punch tests

Li, Qiwen; Wang, Xun; Zhao, Lei; Xu, Lianyong; Han, Yongdian

doi:10.1007/s10853-023-08695-x

Cited by 7 publications

(2 citation statements)

References 57 publications

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“…During the cutting process, the workpiece material in the shear plane experiences various effects, such as strain hardening, strain rate reinforcement, and thermal softening, which arise due to the force-thermal coupling 23 – 25 . Sonmez and Demir derived an analytical relationship between hardness and flow stress using the Brinell and Vickers methods.…”

Section: Analysis Of the Relationship Between Two-phase Flow Stress A...mentioning

confidence: 99%

A new approach to predict microhardness of two-phase in cutting S32760 duplex stainless steel

Zhang,

Yang,

Zheng

et al. 2023

Sci Rep

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The uneven distribution of microhardness in the two-phase structure of S32760 duplex stainless steel after cutting is attributed to variations in the crystal structure, which significantly impact the material's performance. This paper presents a new approach to predict the microhardness of two-phase based on the flow stresses in the austenitic and ferrite. The effect of strain, strain rate, and temperature on the flow stress in the shear plane of orthogonal cutting S32760 was analyzed, and the prediction model for microhardness of two-phase considering the two-phase flow stress was established to obtain a mapping relationship between the two-phase flow stress and the two-phase microhardness of S32760. The impact of cutting dosages on shear strain, strain rate, and temperature in the shear plane was investigated. A function relationship between cutting dosages and microhardness of austenite and ferrite in the shear plane was established, two-phase microhardness experiments were conducted, and the model's accuracy was validated with a prediction error of less than 6%. This study provided insights into the impact of strain, strain rate, and temperature in the shear plane on the microhardness of the two-phase, thus contributing to the theoretical foundation of processing techniques in duplex stainless steel.

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Section: Analysis Of the Relationship Between Two-phase Flow Stress A...mentioning

confidence: 99%

A new approach to predict microhardness of two-phase in cutting S32760 duplex stainless steel

Zhang,

Yang,

Zheng

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The correlation of small specimen technology with standard specimen test: The testing results of small specimen technologies are different to those of the standard specimen test, especially for the small punch test and the indentation test, and correlation methods are needed. There are three kinds of correlation methods: empirical equations [9], theoretical derivation models [10], and machine learning models [11]. Empirical equations are very convenient in engineering applications, but the parameters in empirical equations are usually materials-dependent.…”

mentioning

confidence: 99%

Small Specimen Technology for Revealing Mechanical Properties of Alloys, 3D-Printing Metals and Welding Joints

Peng

2023

Materials

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Machine learning method for estimating the defect-related mechanical properties of additive manufactured alloys

Wang,

Xu,

Zhao

et al. 2023

Engineering Fracture Mechanics

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Validation and improvement in metallic material tensile models for small punch tests

Cited by 7 publications

References 57 publications

A new approach to predict microhardness of two-phase in cutting S32760 duplex stainless steel

A new approach to predict microhardness of two-phase in cutting S32760 duplex stainless steel

Small Specimen Technology for Revealing Mechanical Properties of Alloys, 3D-Printing Metals and Welding Joints

Machine learning method for estimating the defect-related mechanical properties of additive manufactured alloys

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