Prediction of Structure and Mechanical Properties of Welded joints Using Analytical Methods

Piekarska, W.; Goszczyńska-Króliszewska, Dorota

doi:10.1016/j.proeng.2016.01.178

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…Energy-dispersive X-ray spectroscopy (EDS) measurements showed a composition containing Carbon, 0.9 wt% Mn and 0.4 wt% Si. The starting microstructure is ferrite, and the onset of transformation to austenite can be expected at 750 ± 10 °C (Ac 1 ), and should be completed around 911 ± 10 °C (Ac 3 ) [14].…”

Section: Methodsmentioning

confidence: 99%

Interphase boundary motion elucidated through in-situ high temperature electron back-scatter diffraction

et al. 2017

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A new analysis of moving interfaces between ferrite and austenite at high temperatures using in-situ EBSD.• In contrast to the well-known classical Johnson-Mehl-Avrami-Kolmogorov (JMAK) equation it has been demonstrated that the interphase boundaries move in a jerky-type fashion. • A linear dependence between the average velocity and the driving force turns out to be a far too simple and a nonlinear description is offered. • The mean interphase boundary velocity did not critically depend on the crystal (mis)orientations.

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Section: Methodsmentioning

confidence: 99%

Interphase boundary motion elucidated through in-situ high temperature electron back-scatter diffraction

et al. 2017

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“…tensile stress of a weld zone using a mathematical model and FEM according to the number of elements contained in the steel [20]. Most studies focus on predicting the mechanical properties of 9% nickel steel through mathematical or FEM analysis.…”

Section: Welding Experiments For Model Developmentmentioning

confidence: 99%

“…Park [19] conducted a study on predicting high-temperature cracking in laser welds of 9% nickel steel using regression analysis and response surface analysis. In addition, there was a study conducted to predict the hardness and tensile stress of a weld zone using a mathematical model and FEM according to the number of elements contained in the steel [20]. Most studies focus on predicting the mechanical properties of 9% nickel steel through mathematical or FEM analysis.…”

Section: Introductionmentioning

confidence: 99%

Bead Geometry Prediction Model for 9% Nickel Laser Weldment, Part 1: Global Regression Model vs. Modified Regression Model

Kim

Pyo

et al. 2021

Processes

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Due to its excellent toughness and stiffness in cryogenic conditions, 9% nickel steel is applied to LNG storage facilities, and its usage is increasing as a result of changes in environmental regulations. A study was conducted on the development of a predictive model to optimize the laser welding process of 9% nickel steel, and two prediction models were developed using one hundred data points obtained through experiments. A global regression model used as a general prediction model and a modified regression model using the p-value of the analysis of variance were developed, and their prediction performance was compared. It was found that the modified regression model was superior to the global regression model in terms of predicting the bead shape, including parameters such as penetration depth, bead height, and area ratio.

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“…Also the quadratic effect of individual alloying elements was assessed in connection with martensite transformation in medium carbon S355 steel covering both the modeling of the start temperature as well as the prediction of mechanical properties. [27,28] A two-way interaction, which incorporates either a single combination of two alloying elements or a quadratic effect of a single alloying element, or both, is added to the model in Eqs.…”

Section: Interaction Of Alloying Elementsmentioning

confidence: 99%

Statistical Modeling for Prediction of CCT Diagrams of Steels Involving Interaction of Alloying Elements

Martin

Amoako-Yirenkyi

Pohjonen

et al. 2020

Metall Mater Trans B

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The interaction of different alloying elements has a significant impact on the mechanical and microstructural properties of steel products due to the thermodynamic and kinetic effect. This article presents a statistically developed and validated model for austenite decomposition during cooling, based on a set of experimental continuous cooling transformation diagrams available in literature. In the model, two-way interactions of the alloying elements are included as add-on terms, and the procedure for the analysis ensures there is no overfitting. The model can be used to predict phase transformation temperatures and critical cooling rates for the formation of polygonal ferrite, bainite or martensite for the production of steel.

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Prediction of Structure and Mechanical Properties of Welded joints Using Analytical Methods

Cited by 5 publications

References 5 publications

Interphase boundary motion elucidated through in-situ high temperature electron back-scatter diffraction

Interphase boundary motion elucidated through in-situ high temperature electron back-scatter diffraction

Bead Geometry Prediction Model for 9% Nickel Laser Weldment, Part 1: Global Regression Model vs. Modified Regression Model

Statistical Modeling for Prediction of CCT Diagrams of Steels Involving Interaction of Alloying Elements

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