An innovative eccentric ring rolling method for fabricating eccentric rings

Han, Xinghui; Hua, Lin; Zhou, Guangyou; Wang, Xiaokai; Lu, Bohan

doi:10.1016/j.ijmecsci.2016.11.019

Cited by 14 publications

(7 citation statements)

References 47 publications

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“…Rings are important engineering components which are widely used in various fields such as automobile, shipbuilding, metallurgy, aerospace, etc [1,2], the applications of rings include automobile bearing rings, gas turbine casing, pipe flanges, aeroengine casings, etc [3][4][5]. Hot ring rolling (HRR) is the advanced forming technology to manufacture highperformance ring components [6,7], as shown in figure 1, the driving roller rotates around its axis and advances gradually toward the mandrel roller with a given feed rate.…”

Section: Introductionmentioning

confidence: 99%

The real-time vision measurement of multi geometric information of the rolled ring in the hot ring rolling process based on deep learning

Huang,

Wang,

Dong

et al. 2023

Meas. Sci. Technol.

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Hot ring rolling (HRR) is an advanced incremental metal-forming technology to manufacture high-performance rings. Nowadays, the mechanical or laser-sensors measurement methods can only obtain one value of the dimensions on the ring circumference per time unit, the measurement data is single and the information is limited. This paper presents a real-time vision measurement method for multi geometric information of the rolled ring such as ring’s diameter, center position, circularity and growth speed in HRR process. Firstly, the deep learning model is constructed to intelligently and quickly identify rolled ring targets from complex image backgrounds, then the adaptive linear gray scale transformation algorithm is proposed to adjust the gray scale contrast of the image according to changes in ring temperature, the interference of oxide scales and flying chips are eliminated by morphology operation. Finally, the least square method is used to fit the contour points, and further the rolled ring’s geometric information and corresponding variation trend are calculated. Several experiments are conducted on a vertical HRR mill, the geometric information of the rolled ring during the HRR is measured in real-time under the interference of harsh working conditions. For the ring with outer diameter of 350 mm, the measurement error of ring’s outer and inner diameter is less than 0.8 mm, the average processing time per image takes about 80 ms. The research provides a basis for accurate measurement of HRR process.

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Section: Introductionmentioning

confidence: 99%

The real-time vision measurement of multi geometric information of the rolled ring in the hot ring rolling process based on deep learning

Huang,

Wang,

Dong

et al. 2023

Meas. Sci. Technol.

Self Cite

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“…Numerous attempts have been conducted to optimize the ring rolling parameters [9]. The flow behavior and microstructure evolution during hot ring rolling are the main research focus [10,11]. By controlling radial flow of metal during hot ring rolling, the reasonable fibrous macrostructure was obtained, and thus improved the mechanical properties [7].…”

Section: Introductionmentioning

confidence: 99%

Tensile Test Coupled with an EBSD Study of a GH4169 Ring Rolled Product

Wang

Niu

et al. 2022

Materials

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An in situ tensile test of the ring-rolled GH4169 alloy is performed to investigate the plastic deformation behavior at the micro level. Slip system activations are identified by slip traces captured by a scanning electron microscope and lattice orientation data acquired by electron backscattered diffraction. Our results demonstrated that the fraction of low-angle grain boundaries gradually increased upon tensile deformation, and the misorientation evolution in the grain interior was severely inhomogeneous. The Schmid factors at the grains of interest are calculated for comparison with the actual activated slip systems. Most of the slip system activation coincides with the Schmid law, as opposed to the initiation of other potential slip systems at some grains.

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“…Guo et al [ 9 ] proposed constant growth velocity condition (CGVC) of the ring as a design objective of the RARR process variables and developed a mathematical model of the steady forming condition for RARR based on the CGVC. Han et al [ 10 ] put forward an innovative eccentric ring rolling (ERR) method for fabricating eccentric rings, which was verified by simulation and experiment. These studies provide a theoretical guide for realizing a successful and stable RARR process.…”

Section: Introductionmentioning

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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An innovative eccentric ring rolling method for fabricating eccentric rings

Cited by 14 publications

References 47 publications

The real-time vision measurement of multi geometric information of the rolled ring in the hot ring rolling process based on deep learning

The real-time vision measurement of multi geometric information of the rolled ring in the hot ring rolling process based on deep learning

Tensile Test Coupled with an EBSD Study of a GH4169 Ring Rolled Product

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

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