Evaluation of Mechanical Properties of Tubular Materials With Hydraulic Bulge Test for Superconducting Radio Frequency (SRF) Cavities

Kim, H. S.; Sumption, M.D.; Lim, Hojun; Collings, E. W.

doi:10.1109/tasc.2013.2241812

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…The results of the study emphasized the importance of bulge testing, at the time, rather than tensile testing when deriving the constitutional relationships eventually needed for continuum modeling the hydroforming of SRF cavities. We subsequently went on to include the material's anisotropic properties and used an anisotropy coefficient to determine the flow stress curve of anisotropic materials [10]. It was demonstrated that a more accurate flow stress curve can be obtained by considering anisotropic properties.…”

Section: Evolution Of the Modelling Approachmentioning

confidence: 99%

Development of a multi-scale simulation model of tube hydroforming for superconducting RF cavities

Kim

Sumption

Bong

et al. 2017

Materials Science and Engineering: A

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This work focuses on finite element modeling of the hydroforming process for niobium tubes intended for use in superconducting radio frequency (SRF) cavities. The hydroforming of tubular samples into SRF-relevant shapes involves the complex geometries and loading conditions which develop during the deformation, as well as anisotropic materials properties. Numerical description of the process entails relatively complex numerical simulations. A crystal plasticity (CP) model was constructed that included the evolution of crystallographic orientation during deformation as well as the anisotropy of tubes in all directions and loading conditions. In this work we demonstrate a multi-scale simulation approach which uses both microscopic CP and macroscopic continuum models. In this approach a CP model (developed and implemented into ABAQUS using UMAT) was used for determining the flow stress curve only under bi-axial loading in order to reduce the computing time. The texture of the materials obtained using orientation imaging microscopy (OIM) and tensile test data were inputs for this model. Continuum FE analysis of tube hydroforming using the obtained constitutive equation from the CP modeling was then performed and compared to the results of hydraulic bulge testing. The results show that high quality predictions of the deformation under hydroforming of Nb tubes can be obtained using CP-FEM based on their known texture and the results of tensile tests. The importance of the CP

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Section: Evolution Of the Modelling Approachmentioning

confidence: 99%

Development of a multi-scale simulation model of tube hydroforming for superconducting RF cavities

Kim

Sumption

Bong

et al. 2017

Materials Science and Engineering: A

View full text Add to dashboard Cite

show abstract

“…The above equations 2.1 and 2.2 lay the foundation to calculate the circumferential and longitudinal stress components and fit the flow stress curve, which are first derived by Woo et al [50] and then used in many studies [23,56,66,[88][89][90][91][92][93]. Fuchizawa et al [53] improve this stress model by taking into account the wall thickness of metal tubes, and following re-searchers [54,55,58,59,63,71,72,81,87,[94][95][96][97][98][99][100] recommend this new formula because it is more in line with the actual situation.…”

Section: Analytical Modelmentioning

confidence: 99%

The automatic optimization of metal forming processes: Inverse identification of constitutive parameters for tubular materials based on hydraulic bulge test

Zhang¹

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Tube hydroforming process is an advanced manufacturing technology for complex thin-walled tubular components applied in the aerospace, aviation and automotive industries. The fluid medium is used as a pressure source to deform tubular materials into the desired shape in this process. Finite element model is a popular method to describe and analyze this innovative process. A successful tube hydroforming operation and reliable finite element simulation depend heavily on the accurate characterization of mechanical properties of the incoming tubular materials. As a result, it is critical to determine these material parameters utilizing suitable experimental tests and evaluation procedures.This thesis presents the development of an automatic inverse parameter identification framework combining finite element models with gradientbased algorithms and its utilization in determining material parameters for thin-walled metallic tubes. The main principle of the inverse framework is the minimization of the objective function defined as the least square error between simulated results and experimental observations. Finite element methods are used to describe and analyze the experimental testing process and gradient-based optimization techniques adjust the input material parameters in the model until the calculated results have a good agreement with the experimental measurements.The feasibility and performance of this proposed inverse framework are demonstrated through applying it to different tube hydraulic bulge tests with fixed and forced end-conditions to identify the flow stress data of thin-walled aluminium tubes. The bulge height, axial compressive force and pole thickness are measured during the experiment and input into the inverse strategy. Based on the obtained material values, finite element simulated models of hydroforming processes are established and used to predict the shape properties of final products. The comparison between simulated predictions and experimental data shows that the developed inverse strategy provide a robust and effective method to determine material properties for thin-walled metallic tubes.Furthermore, a theoretical analysis is integrated into the inverse frameiii work, and the two are recombined into a hybrid strategy to avoid local minimums in the parameter identification process. The new strategy is tested by the experimental data from fixed and forced tube hydraulic bulge tests. As a result of this research, it is possible to conclude that the novel hybrid strategy does not depend heavily on the initial points and can improve the computation robustness and identify more accurate constitutive parameters for tubular materials.

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Evaluation of Mechanical Properties of Tubular Materials With Hydraulic Bulge Test for Superconducting Radio Frequency (SRF) Cavities

Cited by 2 publications

References 4 publications

Development of a multi-scale simulation model of tube hydroforming for superconducting RF cavities

Development of a multi-scale simulation model of tube hydroforming for superconducting RF cavities

The automatic optimization of metal forming processes: Inverse identification of constitutive parameters for tubular materials based on hydraulic bulge test

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