The thermal and metallurgical state of steel strip during hot rolling: Part II. Factors influencing rolling loads

Devadas, C.; Baragar, D.; Ruddle, G. E.; Samarasekera, I. V.; Hawbolt, E. B.

doi:10.1007/bf02656801

Cited by 51 publications

(31 citation statements)

References 24 publications

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“…As was shown in Fig.2. According to C.DEVADAS, D.BARAGAR [9] and Gang xiao etc [10] , the alloy flow stress can use the following formula to expression with the change of temperature :…”

Section: The Experimental Results and Analysismentioning

confidence: 99%

Correction of Flow Stress for Hot Compression of INCO718 Alloy

Ma¹,

Zhao²,

He³

et al. 2015

Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

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Abstract. The hot deformation behavior of INCO718 alloy was investigated by hot compressive tests with Gleeble−3800 thermal simulator in the temperature range from 950˚C to 1150˚C and strain rate range from 0.1 s −1 to 10 s −1 . In consideration of the temperature, the flow stress curves were corrected by one simple and effective method. The result shows that temperature increase becomes more obvious with the increasing of strain rate and decreasing deformation temperature.

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“…As was shown in Fig.2. According to C.DEVADAS, D.BARAGAR [9] and Gang xiao etc [10] , the alloy flow stress can use the following formula to expression with the change of temperature :…”

Section: The Experimental Results and Analysismentioning

confidence: 99%

Correction of Flow Stress for Hot Compression of INCO718 Alloy

Ma¹,

Zhao²,

He³

et al. 2015

Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

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“…The values of Q tend to increase with additions of certain alloying elements including Nb. Values reported for some Nb microalloyed steels fall in the range 325-461 kJ/mol [12,20,21]. The apparent activation energy is frequently, related to the activation energy for self-diffision of iron in austenite, and the reported values are similar.…”

Section: Temperature and Strain Ratementioning

confidence: 98%

“…For C-Mn steels the values of Q fall in the range 262-366 kT/mol [ 1,4,[17][18][19][20]. The values of Q tend to increase with additions of certain alloying elements including Nb.…”

Section: Temperature and Strain Ratementioning

confidence: 99%

“…The values of rn reported in the literature range fiom 3.2 to 5.0 [4,12,20,22]. This dimensionless parameter relates to the strain-rate sensitivity of the material which is a measure of the dependence of flow stress on strain rate.…”

Section: Value For Mmentioning

confidence: 99%

“…2. Although dynamic recrystallization and its effects have been widely studied, it has been argued that prospects for the occurrence of dynamic recrystallization during rolling in a single pass are remote since the critical strain, G, for dynamic recrystallization is seldom achieved [20,25]. However, the attainment of this critical strain is more probable during multipass rolling in the finishing stands.…”

Section: Dynamic Recrystallizationmentioning

confidence: 99%

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Project C: Microstructural Engineering in Hot-Strip Mills Part 2 of 2: Constitutive Behavior Modeling of Steels Under Hot-Rolling Conditions

Cheng¹,

Purtscher²

1998

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This report describes the work done at NISTBoulder for the Microstructural Engineering in HotStrip Mills project, and is separated into two sections: Subtask C2.5 begins with page 1, and Subtask C2.6 begins with page 110. The objective of Subtask C2.5 is to develop constitutive models to predict stress-strain behavior of steels under hot-rolling conditions and the objective of Subtask C2.6 is to develop models for predicting mechanical properties of hot-rolled steels as functions of chemical composition, microstructural features, and processing variables.For Subtask C2.5, we have developed four models that are suitable for predicting the stress-strain behaviors of the following eight steels: A36, DQSK, HSLA-V, HSLA-NB, HSLA-SO/Ti-Nb, HSLA-SO/Ti-Nb, and two interstitial-fie (IF) grades. The development of these models has been based on experiments conducted at MSTBoulder. To support the modeling effort, one servohydraulic machine was designed and built to generate data at high strain rates (up to 50 s"), which was not previously possible at NIST. The model predictions compared favorably with data fiom CANMET, which have strain rates up to 150 s-*. The model forHSLA-80M'i-Nb was used in the Sims equation to calculate the rolling forces for rolling an HSLA-80 slab. The calculated results agree well with the mill measurements. All the models are currently used in the Hot-Strip Mill Model (HSMM developed at the University of British Columbia-Canada.In subtask C2.6, equations have been developed and validated for plain C and HSLA steels produced on the hot-strip mill. The lower yield strength, ultimate strength, and % total elongation are the main outputs fiom the equations. For thicker, platetype products, the ductileto-brittle transition temperature can also be predicted. The HSMM allows for considerable flexibility and detail in the setup for the hot-strip mill and still provides accurate predictions for yield and ultimate strength, about +A35 MPa. The two sets of equations developed for the structure-property relationships are applicable to a wider range in chemistry than just the eight grades in the program. Base strength equations are considered applicable to grades where the microstructure is predominantly polygonal ferrite; prediction of precipitation strengthening is applicable to steels with Nb contents from 0.02 to 0.09%, 0.08 % V, and excess Ti levels up to 0.025%. Foreword.This project is a cooperative effort involving the National Institute of Standards and Technology (MST), the University of British Columbia (UBC-Canada), and U. S. Steel. Subtasks C2.5 and C2.6 of the project were performed at MSTBouIder, and the remaining of the project were done at UBC-Canada. At the start of the project, U.S. Steel provided all the samples for experiments. Later, Dofasco, LTV Steel, Rouge Steel, and Stelco also contributed samples of some steel grades. In addition to these steel companies, the authors also wish to acknowledge the following companies for their support and active participation during the condu...

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Finite element simulation of the steel plates hot rolling process

Cavaliere¹,

Goldschmit²,

Dvorkin³

2001

Numerical Meth Engineering

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In this paper we discuss our Þnite element procedure for simulating the hot rolling of ßat steel products. We couple an Eulerian rigid-viscoplastic model of the steel plates deformation to a Lagrangian elastic model of the rolls deformation. This latter model incorporates the bending deformation of the work rolls supported by the back-up rolls and the ßattening of the contact areas (Hertz problem) via an enhanced beam model. The Þnite element model is validated comparing its predictions with actual industrial measurements and then it is used to analyze different rolling set-ups.

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The thermal and metallurgical state of steel strip during hot rolling: Part II. Factors influencing rolling loads

Cited by 51 publications

References 24 publications

Correction of Flow Stress for Hot Compression of INCO718 Alloy

Correction of Flow Stress for Hot Compression of INCO718 Alloy

Project C: Microstructural Engineering in Hot-Strip Mills Part 2 of 2: Constitutive Behavior Modeling of Steels Under Hot-Rolling Conditions

Finite element simulation of the steel plates hot rolling process

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