Prediction of Tempering Properties of Low‐Carbon Bainitic Steels

Guojin Sun; Qi Wang; Shiyu Luan

doi:10.20944/preprints202407.0950.v1

Preprint Article Version 1 This version is not peer-reviewed

Version 1 : Received: 10 July 2024 / Approved: 11 July 2024 / Online: 11 July 2024 (11:36:30 CEST)

The objective of this study is to develop a predictive model for low-carbon bainitic steel utilising the P and λ parameters. The tempering activation energy of the steel was calculated through statistical methods. Kinetic curves for the hardness equivalents and a nomograph for tempering process parameters were plotted. The error analysis indicates that the predicted values based on the λ and P parameters had errors within 15% and 10%, respectively. The model can be effectively utilised to predict mechanical properties and optimise parameters during the tempering process.

tempering process; prediction model; mechanical prediction; low-carbon bainitic steels

Engineering, Mechanical Engineering

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Prediction of Tempering Properties of Low‐Carbon Bainitic Steels

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