2022
DOI: 10.1007/s11665-022-06688-6
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Experimental and Numerical Investigation of Stress and Distortion in AF1410 Steel Under Varying Quenching Conditions

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Cited by 2 publications
(2 citation statements)
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“…The results showed that numerical experiments significantly reduce the experimental costs in optimizing or improving gas-quenching processes. Zhang et al [72] investigated the evolution of stress and distortion in three different quenching processes, including water quenching, oil quenching, and vacuum gas quenching for U-shaped AF1410 steel samples, using experimental and numerical methods. They developed a thermo-metallurgical-mechanical coupled model to predict the magnitude and distribution of phase fraction, stress, and distortion accurately.…”
Section: Simulation Of Mechanical Properties Of Workpiecesmentioning
confidence: 99%
“…The results showed that numerical experiments significantly reduce the experimental costs in optimizing or improving gas-quenching processes. Zhang et al [72] investigated the evolution of stress and distortion in three different quenching processes, including water quenching, oil quenching, and vacuum gas quenching for U-shaped AF1410 steel samples, using experimental and numerical methods. They developed a thermo-metallurgical-mechanical coupled model to predict the magnitude and distribution of phase fraction, stress, and distortion accurately.…”
Section: Simulation Of Mechanical Properties Of Workpiecesmentioning
confidence: 99%
“…Among others, the works of Deng et al [10] and Rikken et al [11] have shown the importance of considering solid-state phase transformation (SSPT) in the simulation of the welding processes of materials experiencing martensitic transformation upon cooling. Other studies [12][13][14][15] have also highlighted the need to consider transformation-induced plasticity (TRIP) during martensitic transformation in order to compute a reliable stress distribution. These plastic strains are induced as the SSPT progresses while stress, σ, is applied, even if the stress is below the yield strength of the weakest phase.…”
Section: Introductionmentioning
confidence: 99%