Application d’une équivalence entre le temps et la température de revenu à l’étude de la dureté de la martensite des aciers au carbone et faiblement alliés

Ponsot, A.; Maynier, Ph.; Comon, J.; Bastien, Patrick

doi:10.1051/metal/197168060441

Cited by 4 publications

(6 citation statements)

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“…Tempering curves for initial martensitic microstructure from different carbon contents Note: Chemistries are provided in Table 7. Source: Pont et al (1967) Steel compositions used in theses studies are shown in Table 7. Note: Elements in % weight.…”

Section: Figure 33mentioning

confidence: 99%

“…Using different carbon content steels since 0,1%, Pont and co-authors performed tempering studies using constant parameter (Hollomon and Jaffe, 1945;Grange and Baughman, 1956;Pont et al, 1967). Figures 32(a) and 32(b) show these results.…”

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confidence: 98%

“…2.14 Pont P parameter Pont et al (1967) have also developed a tempering parameter (P) based on the activation energies of diffusion:…”

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confidence: 99%

“…This value is independent of the carbon content of the steel and it is representative of the activation energy for self-diffusion of alpha iron T = tempering temperature (K) t = tempering time t 0 = reference time R = gas constant (8.31 JK -1 mole -1 ) n = log 10 . Pont et al (1967) then derived the expression for Vicker's hardness (H V ):…”

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confidence: 99%

“…Table 7. Source: Pont et al (1967) Using values obtained from Figures 32(a) and 32(b), Pont parameter nomogram was built ( Figure 33). In this illustration converging Vickers hardness curves with varying tempering temperatures and Pont parameters (P) for a steels with different carbon contents are shown (Pont et al, 1967).…”

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confidence: 99%

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The results of the stress relieving and tempering processes are dependent on the temperature and time of the process, which may be correlated using a parameter such as Holloman's (Holloman-Jaffe) parameter or the Larsen-Miller parameter. These parameters are a measure of the thermal effect of the process on the metallurgical transformation of the steel during tempering. The processes that exhibit the same tempering parameter are expected to exhibit the same effect (such as hardness). However, these more traditional numerical expressions assume isothermal tempering processes which seldom exist in production tempering ovens due to the heat-up period prior to soaking

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Section: Figure 33mentioning

confidence: 99%

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confidence: 98%

“…2.14 Pont P parameter Pont et al (1967) have also developed a tempering parameter (P) based on the activation energies of diffusion:…”

mentioning

confidence: 99%

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confidence: 99%

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confidence: 99%