Flow stress property of a hardened steel at elevated temperatures with tempering effect

Shi, Jing; Liu, C.Richard

doi:10.1016/j.ijmecsci.2004.05.014

Cited by 9 publications

(7 citation statements)

References 18 publications

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“…The material elasticity needs to be considered because the high ratio of hardness versus Young's modulus induces an appreciable amount of local elastic recovery after the tool passes through [23]. Shi [31] obtained the flow stress data of hardened AISI 52100 steel at a constant strain rate and excluded the temporal tempering effect on flow stress. These data, as shown in Table 1, were utilized in the model by adding the effect of high strain rate in machining.…”

Section: Materials Propertiesmentioning

confidence: 99%

On predicting chip morphology and phase transformation in hard machining

Shi

Liu

2005

Int J Adv Manuf Technol

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A finite element model is developed to predict the chip formation and phase transformation in orthogonal machining of hardened AISI 52100 steel (62HRC) using Polycristalline Cubic Boron Nitride (PCBN) tools. The model mainly includes a chip separation criterion based on critical equivalent plastic strain; a Coulomb's law for the friction at the tool/chip interface; a material constitutive relation of velocity-modified temperature; a thermal analysis incorporating the heat dissipated from inelastic deformation energy and friction; and an annealing effect model, in which the work hardening effect may be lost or re-accumulate depending on material temperature. This fully coupled thermalmechanical finite element analysis accurately simulates the formation of segmental chips and predicts the phase transformation on the chips, as verified by experiment. It is found that high temperatures around the secondary shear zone causes fast re-austenitization and martensite transformation, while other parts of the chips retain the original tempered martensitic structure.

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Section: Materials Propertiesmentioning

confidence: 99%

On predicting chip morphology and phase transformation in hard machining

Shi

Liu

2005

Int J Adv Manuf Technol

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“…Authors are also investigating other methods reported in the literature [16,17] for tempered martensite hardness prediction and examining to extend that approach to tempered Jominy curve prediction.…”

Section: Resultsmentioning

confidence: 99%

“…where is the tempering temperature in K, t is the tempering time in h and A, B, 1 , a, 1 and 2 are the material constants that are determined by regression analysis. Shi and Li [17] proposed an alternative approach for temper hardness prediction. They derived tempering degree, Φ, by a dimensionless ratio in terms of material hardness change by, Φ = 0 − 0 − ∞ (10)…”

Section: Resultsmentioning

confidence: 99%

Prediction of Tempering Effect on Jominy Hardenability Curve

Maniruzzaman

Pickerill

Pershing

2019

Heat Treat 2019: Proceedings From the 30th Heat Treating Society Conference and Exposition

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Modeling of as-tempered hardness in steel is essential to understanding final properties of heat-treated components. Most of the tempering mathematical models derive a tempering parameter using Hollomon-Jaffe formulation. Some recent models incorporate chemical composition into the general Hollomon-Jaffe relationship. This paper compares model predictions with a substantial set of actual tempered Jominy End Quench bars and the hardness data from them. Improvements to the models and direction for future work are discussed.

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“…In particular, in a recent study conducted by some of the present authors and published in 2004, a hardness-based flow stress for AISI 52100 bearing steel was proposed (Umbrello et al, 2004). In the same year, Shi and Liu presented a study which the objective to investigate the effect of tempering on flow stress of hardened bearing steels (Shi and Liu, 2004b). Also on AISI H13 tool steel a hardness flow stress was proposed (Yan et al, 2007) even if, it was more a qualitatively study than a quantitatively research.…”

Section: Background On Advanced Materials Flow Stress Modelsmentioning

confidence: 96%