Numerical Simulation of the Piercing Process of Large-Sized Seamless Steel Tube

Liu, Feng; Qiu, Yun; Song, Zhang Hua; Wang, Shuai Wei

doi:10.4028/www.scientific.net/amm.319.444

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…In many of the reviewed scientific contributions, the constitutive model is not described. On the other hand, in some of them, it is only specified if a rigid-plastic, rigid-viscoplastic, elasto-plastic or elasto-viscoplastic approach is considered [ 3 , 4 , 5 , 6 , 7 , 8 , 9 ]. In addition, other authors claim that they have used the material constitutive model from the FE software database without giving details about the specific formulation used, or only state that the flow stress was dependent on the temperature and the strain rate [ 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

Application of an Incremental Constitutive Model for the FE Analysis of Material Dynamic Restoration in the Rotary Tube Piercing Process

Murillo-Marrodán

García

Barco³

et al. 2020

Materials

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In the numerical simulation of hot forming processes, the correct description of material flow stress is very important for the accuracy of the results. For complex manufacturing processes, such as the rotary tube piercing (RTP), constitutive laws based on both power and exponential mathematical expressions are commonly used due to its inherent simplicity, despite the limitations that this approach involves, namely, the use of accumulated strain as a state parameter. In this paper, a constitutive model of the P91 steel derived from the evolution of dislocation density with strain, which takes into account the mechanisms of dynamic recovery (DRV) and dynamic recrystallization (DRX), is proposed for the finite element (FE) analysis of the RTP process. The material model is developed in an incremental manner to allow its implementation in the FE code FORGE®. The success of this implementation is confirmed by the good correlation between results of the simulation and experimental measurements of the manufactured tube (elongation, twist angle, mean wall thickness and eccentricity). In addition, this incremental model allows addressing how the restoring mechanisms of DRV and DRV occur during the RTP process. The analysis puts into evidence that DRV and DRX prevail over each other cyclically, following an alternating sequence during the material processing, due mainly to the effect of the strain rate on the material.

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Section: Introductionmentioning

confidence: 99%

Application of an Incremental Constitutive Model for the FE Analysis of Material Dynamic Restoration in the Rotary Tube Piercing Process

Murillo-Marrodán

García

Barco³

et al. 2020

Materials

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“…[2][3][4][5][6][7]. More details and recent studies about the cross-roll piercing process can be found in Refs.…”

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confidence: 99%

Online Eccentricity Monitoring of Seamless Tubes in Cross-Roll Piercing Mill

Guo

Chen

Jin

2015

Journal of Manufacturing Science and Engineering

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Wall-thickness eccentricity is a major dimensional deviation problem in seamless steel tube production. Although eccentricity is mainly caused by abnormal process conditions in the cross-roll piercing mill, most seamless tube plants lack the monitoring at the hot piercing stage but only inspect the quality o f finished tubes using ultrasonic testing (UT) at the end o f all manufacturing processes. This paper develops an online monitoring tech nique to detect abnormal conditions in the cross-roll piercing mill. Based on an imagesensing technique, process operation condition can be extracted from the vibration signals. Optimal frequency features that are sensitive to tube wall-thickness variation are then selected through the formulation and solution o f a set-covering optimization prob lem. Hotelling T2 control charts are constructed using the selected features fo r online monitoring. The developed monitoring technique enables early detection o f eccentricity problems at the hot piercing stage, which can facilitate timely adjustment and defect pre vention. The monitoring technique developed in this paper is generic and can be widely applied to the hot piercing process o f various products. This paper also provides a gen eral framework fo r effectively analyzing image-based sensing data and establishing the linkage between product quality information and process information

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