Effect of carbon content on the structure and mechanical properties of high-strength weldable steel 03G4N2MAF

Laz'ko, V. G.; Nikitin, V N; Karchevskaya, N. I.

doi:10.1007/bf00705388

Cited by 2 publications

(1 citation statement)

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“…Further linear and non-linear regression models were successfully applied to establish the input-output relationship in different casting processes, namely cement bonding molding, [3][4], green sand molding [5][6], resin-bonded sand mold [7], sodium-bonded molding system [8], die casting [9][10][11] and evaporative casting process [12]. A study conducted by Laz'ko et al [13] showed that the strength of high strength weldable steel 03G4N2MAF increases significantly as its carbon content increases from 0.05 to 0.10-0.12% with retention of plasticity and resilience. A further increase in carbon content is not rational, since the resilience of the steel decreases sharply with an insignificant increase in yield point.…”

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Modeling and Analysis of Mechanical Properties in Structural Steel-DOE Approach

Bhatt

Parappagoudar

2015

Archives of Foundry Engineering

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The present work focuses on the modeling and analysis of mechanical properties of structural steel. The effect of major alloying elements namely carbon, manganese and silicon has been investigated on mechanical properties of structural steel. Design of experiments is used to develop linear models for the responses namely Yield strength, Ultimate tensile strength and Elongation. The experiments have been conducted as per the full factorial design where all process variables are set at two levels. The main effect plots showed that the alloying elements Manganese and Silicon have positive contribution on Ultimate tensile strength and Yield strength. However, Carbon and Manganese showed more contribution as compared to Silicon. All three alloying elements are found to have negative contribution towards the response- Elongation. The present work is found to be useful to control the mechanical properties of structural steel by varying the major alloying elements. Minitab software has been used for statistical analysis. The linear regression models have been tested for the statistical adequacy by utilizing ANOVA and statistical significance test. Further, the prediction capability of the developed models is tested with the help of test cases. It is found that all linear regression models are found to be statistically adequate with good prediction capability. The work is useful to foundrymen to choose alloying elements composition to get desirable mechanical properties.

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