Analysis of guide modes in vertical hot ring rolling and their effects on the ring’s dimensional precision using FE method

Wang, Xiaokai; Hua, Lin

doi:10.1007/s12206-011-0109-5

Cited by 10 publications

(4 citation statements)

References 12 publications

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“…Wang et al developed a three-dimensional coupled thermal-mechanical elastic-plastic FE model of the Vertical Hot Ring Rolling (VHRR) process in ABAQUS/Explicit code. By using the developed FE simulation model, they analyzed the effects of single fixed guide mode and single follow-up guide mode on the ring's dimensional precision during hot ring rolling production, respectively [5].…”

Section: Introductionmentioning

confidence: 99%

Constitutive modeling for flow behavior of GCr15 steel under hot compression experiments

et al. 2013

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Section: Introductionmentioning

confidence: 99%

Constitutive modeling for flow behavior of GCr15 steel under hot compression experiments

et al. 2013

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“…Therefore, the ABAQUS/Explicit subroutine VUAMP was employed for the secondary development. In order to acquire the information of the ring’s offset and circularity error, several virtual sensors were established in ABAQUS to obtain the coordinates of the nodes on the ring’s outer contour during the simulation [ 20 ], and the ring’s offset and circularity error were calculated using the least square circle method [ 36 ]. Here, ( x i , y i ) is the coordinate of node n i on the outer contour of the ring, while ( x R , y R ) and R are the center coordinate and radius of the least square circle, respectively, as shown in Figure 14 .…”

Section: Methodsmentioning

confidence: 99%

Numerical Simulation of Intelligent Fuzzy Closed-Loop Control Method for Radial–Axial Ring Rolling Process of Super-Large Rings

et al. 2022

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During the radial–axial ring rolling (RARR) process of super-large rings, abnormal deformation states such as instability and out of circularity often lead to rolling termination and quality fluctuation of ring products. In this work, an intelligent fuzzy closed-loop control method for RARR process of super-large rings is proposed, i.e., the ring’s offset adaptive fuzzy control (ROAFC) based on the regulation of the axial roll’s rotational speed and the ring’s circularity fuzzy control (RCFC) based on the regulation of the mandrel’s feed speed. In addition, a recursive average filtering algorithm is added to smooth the axial roll’s rotational speed and the mandrel’s feed speed according to the actual situation. Using the ABAQUS/Explicit software and its subroutine VUAMP, the intelligent fuzzy controller of the ring’s offset and circularity in the RARR process is designed, and the finite element (FE) model for RARR process of a Φ10 m super-large ring with an integrated intelligent fuzzy control algorithm is established. The variation laws of the ring’s offset and circularity error in the RARR process are studied with regard to different control methods such as conventional planning control (CPC), ROAFC, RCFC, and comprehensive control of ROAFC combined with RCFC (ROAFC + RCFC). The results obtained show that, compared with the CPC, the ring’s offset is reduced by 84.6% and the circularity error is decreased by 51.9% in the RARR process utilizing comprehensive control of ROAFC + RCFC. The research results provide methodological guidance for realizing the intelligent forming of super-large rings.

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“…Linear deformation for assembly deviation using a statistical analysis approach was proposed for fixtured compliant structure (Stewart and Chase, 2005). During the assembly process of flexible parts, a three-dimensional (3D) precision analysis approach was used to obtain rigid and flexible displacements (Wang and Hua, 2011). Zhai et al (2017) proposed a thermal deformation model, coupling a small displacement torsor (SDT) to improve the accuracy of the tolerance analysis model.…”

Section: Introductionmentioning

confidence: 99%

Assembly variation analysis of the non-rigid assembly with a deformation gradient model

Ajani

2021

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Purpose This paper aims to develop a mathematical method to analyze the assembly variation of the non-rigid assembly, considering the manufacturing variations and the deformation variations of the non-rigid parts during the assembly process. Design/methodology/approach First, this paper proposes a deformation gradient model, which represents the deformation variations during the assembly process by considering the forces and the self-weight of the non-rigid parts. Second, the developed deformation gradient models from the assembly process are integrated into the homogenous transformation matrix to model the deformation variations and manufacturing variations of the deformed non-rigid part. Finally, a mathematical model to analyze the assembly variation propagation is developed to predict the dimensional and geometrical variations due to the manufacturing variations and the deformation variations during the assembly process. Findings Through the case study with a crosshead non-rigid assembly, the results indicate that during the assembly process, the individual deformation values of the non-rigid parts are small. However, the cumulative deformation variations of all the non-rigid parts and the manufacturing variations present a target value (w) of −0.2837 mm as compared to a target value of −0.3995 mm when the assembly is assumed to be rigid. The difference in the target values indicates that the influence of the non-rigid part deformation variations during the assembly process on the mechanical assembly accuracy cannot be ignored. Originality/value In this paper, a deformation gradient model is proposed to obtain the deformation variations of non-rigid parts during the assembly process. The small deformation variation, which is often modeled using a finite-element method in the existing works, is modeled using the proposed deformation gradient model and integrated into the nominal dimensions. Using the deformation gradient models, the non-rigid part deformation variations can be computed and the accumulated deformation variation can be easily obtained. The assembly variation propagation model is developed to predict the accuracy of the non-rigid assembly by integrating the deformation gradient models into the homogeneous transformation matrix.

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Analysis of guide modes in vertical hot ring rolling and their effects on the ring’s dimensional precision using FE method

Cited by 10 publications

References 12 publications

Constitutive modeling for flow behavior of GCr15 steel under hot compression experiments

Constitutive modeling for flow behavior of GCr15 steel under hot compression experiments

Numerical Simulation of Intelligent Fuzzy Closed-Loop Control Method for Radial–Axial Ring Rolling Process of Super-Large Rings

Assembly variation analysis of the non-rigid assembly with a deformation gradient model

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