Influence of ring growth rate on damage development in hot ring rolling

Wang, Chao; Geijselaers, H.J.M.; Omerspahic, Edin; Recina, V.; Boogaard, A.H. van den

doi:10.1016/j.jmatprotec.2015.08.017

Cited by 40 publications

(8 citation statements)

References 16 publications

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“…The development of internal cracks in hot-forged products, which may be the consequence of the evolution of pre-existing porosities, can be well described using both phenomenological and micromechanical damage models. The possible generation of damage in form of porosities during hot ring rolling is predicted in [210], using a damage indicator based on the Oyane micromechanical model. The agreement between experimental and numerical damage fields is satisfactory, showing that a low ring growth rate can increase the susceptibility to damage when compared to high growth rate.…”

Section: Bulk Metal Formingmentioning

confidence: 99%

Damage in metal forming

et al. 2020

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Section: Bulk Metal Formingmentioning

confidence: 99%

Damage in metal forming

et al. 2020

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“…Ideally, a ring will not deviate from a perfect cylindrical tube at any point during conventional RARR. However, in practice this is not always the case, as a forged preform has a rounded wall shape [21], and rolling errors, such as cavity formation, fishtail defects, non-circularity, conicity, dishing and waviness lead to deviations from a perfect cylindrical shape [2]. The use of single-point measurement devices, such as laser distance sensors, is sufficient for tracking the shape of a perfect cylindrical ring, but more advanced measurement systems must be used when the ring shape significantly deviates from the ideal shape.…”

Section: Geometry Measurement During Rarrmentioning

confidence: 99%

Control of ring rolling with variable thickness and curvature

2019

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Radial-Axial Ring Rolling (RARR) is an industrial forging process for making strong, seamless metal rings. Conventionally, rings are made circular with constant cross-section. In this work we demonstrate a sensing and control strategy to create rings with variable radial wall thickness and variable curvature using standard RARR hardware. This has a number of potentially useful applications but also provides an understanding of how to control these properties for conventional RARR. The sensing uses a calibrated video camera to take a series of images of the ring top surface. Image processing is employed to measure and track the ring material in-situ. The complete state of the ring is represented by the ring thickness and curvature as a function of its volume fraction, which is computed by combining the measurements from the unoccluded areas with estimates of the ring shape elsewhere. Additionally, we present a marking technique for tracking of material as it rotates through the rolling machine, even after significant deformation of the ring has occurred. We show that rings with a wide range of variation in local thickness and curvature can be formed using conventional RARR hardware and a photogrammetric state measurement technique, combined with open-loop scheduling and feedback control of thickness and curvature. Rings with both variable thickness and non-circular shapes have been produced virtually using numerical simulations and in reality using modelling clay as a material to simulate metals at forging temperatures. We demonstrate that this technique extends the range of shapes achievable with standard RARR hardware.

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“…The same model is employed in [5], however, the impact of characteristics of the machining tools on a change in the macrostructure was not analyzed in the given papers. In addition to experimental studies, article [6] solved a thermomechanical problem considering the history of accumulation of residual stresses. At the same time, the formation of micro-macrostructure in the process of deformation of the bearing ring was not examined.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%