Uncertainty analysis on process responses of conventional spinning using finite element method

Shi, Fei; Long, Hui; Zhan, Mei; Ou, Hengan

doi:10.1007/s00158-014-1061-7

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…γ (x, u, y) = |||f(x, u) − y||| (1) for a certain defined ||| · ||| norm. An ℓ 2 -norm formulation for the norm ||| · ||| is often used to find a best parameter value x *…”

Section: Propagation Of Uncertainties To the Reconstructed Parametersmentioning

confidence: 99%

“…Efforts have been dedicated at reducing the computational effort like the use of the surface response method applied in e.g. [1]; or the use of interval analysis [2] and polynomial chaos decomposition [3]. So-called intrusive methods such as the stochastic finite element method calculate the effect of stochastic parameters on the response by altering the calculation methodology itself.…”

Section: Introductionmentioning

confidence: 99%

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On cost function transformations for the reduction of uncertain model parameters’ impact towards the optimal solutions

Crevecoeur¹,

Staelen

2015

Journal of Computational and Applied Mathematics

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a b s t r a c tUncertainties affect the accuracy of nonlinear static or dynamic optimization and inverse problems. The propagation of uncertain model parameters towards the optimal problem solutions can be assessed in a deterministic or stochastic way using Monte Carlo based techniques and efficient spectral collocation and Galerkin projection methods. This paper presents cost function transformations for reducing the impact of uncertain model parameters towards the optimal solutions. We assess the consistency of the methodology by determining sufficient conditions on the cost function transformations and apply the methodology on several test functions.

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“…γ (x, u, y) = |||f(x, u) − y||| (1) for a certain defined ||| · ||| norm. An ℓ 2 -norm formulation for the norm ||| · ||| is often used to find a best parameter value x *…”

Section: Propagation Of Uncertainties To the Reconstructed Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On cost function transformations for the reduction of uncertain model parameters’ impact towards the optimal solutions

Crevecoeur¹,

Staelen

2015

Journal of Computational and Applied Mathematics

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show abstract

“…FEM simulation was conducted to investigate variations of tool forces, wall thickness and strains. Shi et al [22] developed an uncertainty analysis and implemented a process optimisation procedure on conventional spinning with 3D FEM. This paper aims to assess, how well simulation results correspond to experimental data and how computational time is influenced.…”

Section: Introductionmentioning

confidence: 99%

Numerical modelling, validation and analysis of multi-pass sheet metal spinning processes

2016

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Conventional sheet metal spinning is an incremental forming process which typically involves the costeffective and high-quality manufacturing of axissymmetric parts. The process is usually executed by highly skilled and experienced personnel which is able of optimizing the process parameters during production. Numerical simulation of the process can substantially help discovering systematic methodologies for optimal parameter determination and thus enable the full automation of the process using CNC machines. The present work aims to assess the quality of numerical modelling techniques by a direct comparison with metal spinning experiments. Based on the geometry and thickness distribution of intermediate and final stages of a spinned component, which are measured using the Optical 3D Digitization technique, the quality and validity of different numerical modeling approaches are assessed. Subsequently, deformation mechanisms occurring during process are identified, analysed and discussed.

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A novel iterative algorithm for natural frequency analysis of FG thin plates under interval uncertainty

Zhu

Liu

2019

Struct Multidisc Optim

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Uncertainty analysis on process responses of conventional spinning using finite element method

Abstract: 15.05.15 AAM can be deposited to Spiral as 12 month embargo has expired

Cited by 8 publications

References 25 publications

On cost function transformations for the reduction of uncertain model parameters’ impact towards the optimal solutions

On cost function transformations for the reduction of uncertain model parameters’ impact towards the optimal solutions

Numerical modelling, validation and analysis of multi-pass sheet metal spinning processes

A novel iterative algorithm for natural frequency analysis of FG thin plates under interval uncertainty

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