Failure analysis of an advanced high-strength steel

Ramírez-Ramírez, Javier H.; Pérez-González, Francisco A.; Zapata-Hernández, Oscar; Gutiérrez-Platas, J.L.; Hernández, Luis E.; Quiñones, Miguel Á.; Garza-Montes-de-Oca, Nelson F.; Colás, Rafael

doi:10.1016/j.engfailanal.2021.105893

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…An alternative to casting in conventional moulds is that of thin-slab casting in which the steel is poured into moulds that produce slabs that range from 50 to 90 mm in thickness, in contrast to conventional moulds that produce slabs of 250-350 mm. The faster solidification rate that takes place within thinner sections promotes microstructural refining and the reduction of the central line segregation [13][14][15]. A further advantage that the thin-slab casting technology offers is the reduction of size of the processing line by connecting the caster with continuous reheating furnaces and the rolling-mill [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of advanced high-strength steels obtained by the compact strip production route

Pérez-González

Ramírez-Ramírez

Hernández

et al. 2023

Materials Science and Technology

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Advanced high-strength steels are used in structural components of automobiles to reduce their weight, fuel consumption and green-house gas emissions. Their properties result from tailoring their chemical composition and processing conditions to obtain microstructures consisting of a variety of hard and soft components. This work presents the analyses conducted on steels produced by continuous casting into thin moulds and hot rolling directly to the final shape. The microstructure was studied by microscopical techniques; the phase transformations occurring were assessed with the aid of commercial and dedicated computer programs. The stress–strain curves were fitted to different constitutive equations. It was found that the mechanical characteristics differed due to the strategies in design and production followed by the steelmaker.

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Section: Introductionmentioning

confidence: 99%

Characteristics of advanced high-strength steels obtained by the compact strip production route

Pérez-González

Ramírez-Ramírez

Hernández

et al. 2023

Materials Science and Technology

Self Cite

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“…Obers, S. et al [6] proposed a finite element simulation model for nonlinear plastic materials to analyze the effect of the yield-to-tensile strength ratio on the plastic stress concentration factor. Ramírez-Ramírez, J. et al [7] analyzed the causes of cracks in high-strength steel and evaluated these causes through numerical calculation models. Sorger, G. et al [8] studied the fatigue performance of high-strength steel in welding and concluded that the fatigue strength of welded joints in friction stir welding was higher than that in electric arc welding.…”

Section: Introductionmentioning

confidence: 99%

Deflection Intelligent Prediction for High-Strength Steel Saddle Plate Forming Applicable to Reducing Ship Weight

Wang,

Dai,

et al. 2023

Materials

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The application of high-strength steel plates can reduce ship weight, and the saddle plate is one of the most common types of double-curved hull plates. To fill the research gap regarding high-strength steel saddle plates, two prediction models are established here to predict deformation in saddle plate forming. Deflection is a key parameter reflecting the overall deformation of a curved plate. Therefore, first of all, the influencing factors of the line heating of high-strength steel saddle plates were analyzed. The influence of plate geometric parameters and forming parameters on deflection was researched. Second, a multiple linear regression model between deflection and the geometric parameters and forming parameters of high-strength steel saddle plates was established. Finally, to solve the problem of a large error in the multivariate regression model for extrapolation, an intelligent prediction program for deflection based on a support vector machine (SVM) was developed using the Python language. The results show that the error of the multiple regression model was less than 5% for data interpolation. The error of the intelligent prediction model for deflection was less than 5% for data extrapolation. This research can provide data support for the automatic forming of marine saddle plates.

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Effects of Secondary Cooling Segment Electromagnetic Stirring on Solidification Behavior and Composition Distribution in High-Strength Steel 22MnB5

Yao

Wang

et al. 2022

JOM

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Failure analysis of an advanced high-strength steel

Cited by 4 publications

References 18 publications

Characteristics of advanced high-strength steels obtained by the compact strip production route

Characteristics of advanced high-strength steels obtained by the compact strip production route

Deflection Intelligent Prediction for High-Strength Steel Saddle Plate Forming Applicable to Reducing Ship Weight

Effects of Secondary Cooling Segment Electromagnetic Stirring on Solidification Behavior and Composition Distribution in High-Strength Steel 22MnB5

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