A Novel Sensitivity Analysis Method in Structural Performance of Hydraulic Press

Zhu, Pengyu; Zhang, Lianhong; Zhou, Rui; Chen, Lihai; Yu, Bing; Xie, Qizhi

doi:10.1155/2012/647127

Cited by 9 publications

(9 citation statements)

References 30 publications

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“…In sheet metal forming processes, different types of sensitivity analyses have been applied, such as variance-based methods [9], regression [10], derivative-based methods [11] and methods based on experimental designs [6].…”

Section: Intr Introduction Oductionmentioning

confidence: 99%

Numerical study of the square cup stamping process: a stochastic analysis

Pereira¹,

Ruivo²,

Oliveira³

et al. 2021

Esaform 2021

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The industrial demand for products with better quality and lower production costs have encouraged the widespread application of the finite element analysis (FEA) in the development and optimization of sheet metal forming processes. To ensure that the FEA solutions are reliable and robust it is important to take into account the uncertainties that inevitably arise in a real industrial environment. In this context, a numerical study on the influence of the material and process uncertainty in the stamping results of a square cup is presented. In this analysis, it is assumed uncertainty in the elasticity properties, hardening law parameters, anisotropy coefficients, blank thickness, friction coefficient and in the blank holder force. The effect of the uncertainty in these input parameters is evaluated in the punch force, equivalent plastic strain, thickness and cup geometry. Firstly, quasi-Monte Carlo method was used to evaluate the variability in the simulation outputs, considering the uncertainty of the input parameters. This analysis shows that the geometry is the output most sensitive to the uncertainty of the input parameters. Afterwards, a variance-based sensitivity analysis was carried out to identify the input parameters that most influence the output variability. It was concluded that the hardening law parameters and the anisotropy coefficients have the most influence in the stamping results variability of a square cup.

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Section: Intr Introduction Oductionmentioning

confidence: 99%

Numerical study of the square cup stamping process: a stochastic analysis

Pereira¹,

Ruivo²,

Oliveira³

et al. 2021

Esaform 2021

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“…Often, the deformation force during forging was represented by a linear model in the motion control of the HPM [3]- [5], resulting in a large modeling error because the nonlinear dynamics is not considered. Alternatively, a finiteelement model was employed to represent the deformation force model in the design of an HPM [6], [7]. This finiteelement method requires that all forging conditions are known, which are often difficult to obtain.…”

Section: Introductionmentioning

confidence: 99%

A Novel LS-SVM Modeling Method for a Hydraulic Press Forging Process With Multiple Localized Solutions

Fan

Huang

2015

IEEE Trans. Ind. Inf.

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An effective model of the forging process is crucial for the optimal operation and health management of a hydraulic press machine (HPM). Modeling this forging process is difficult, because multiple localized nonlinear solutions and modeling of unknown complex interactions between localized regions are required. In this paper, a novel least squares support vector machine (LS-SVM) method is developed for modeling the forging process. The proposed method integrates the advantages of local LS-SVM modeling and global regularization. Local LS-SVM modeling is performed to capture the local dynamics for each local working region. Global regularization is performed to minimize the global error and improve the global generalization of the local models. These features guarantee continuity and smoothness between the local LS-SVM models and avoid over-fitting of each local LS-SVM model. The algorithm developed here is simple and may easily be added into existing HPM systems. Experiment data from a practical HPM demonstrate the effectiveness of the proposed method. Index Terms-Forging process, least squares support vector machine (LS-SVM), multiple working regions, regularization.Manuscript Xinjiang Lu (M'12) received the B.E. and M.E. degrees in process modeling and control, robust design, integration of design and control from the

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“…The hydraulic press machine (HPM) is a crucial piece of equipment in industry. − It provides a forging force to shape a pattern of a forging in dies. A typical forging process is shown in Figure , where the work plate of the HPM is driven by three driving cylinders placed above the work plate.…”

Section: Introductionmentioning

confidence: 99%

Two-Level Modeling Based Intelligent Integration Control for Time-Varying Forging Processes

Huang

2015

Ind. Eng. Chem. Res.

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Time-varying forging processes and uncertainties and sudden changes in the deformation force or driving force pose great challenges to high-quality forging. In this paper, a two-level modeling based intelligent integration control approach is proposed to meet this challenge. It considers multiple localized nonlinear dynamics caused by the nonlinearity and the sudden changes, and also avoids the large-amplitude vibrations and even instability in the transition region. It also integrates the advantages of the tracking control and the robust control. The tracking control is to guarantee the tracking performance of the smooth operation region, while the robust control is to guarantee the robust performance of the sudden change region. To guarantee the continuity and smoothness between the smooth operation region and the sudden change region, the integration control based on both the tracking control and the robust control is developed in the transition region. Through this intelligent integration, the continuity and smoothness between the multiple localized nonlinear dynamics are guaranteed. Finally, the effectiveness of the proposed method is verified by both numerical simulations and experiments.

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A Novel Sensitivity Analysis Method in Structural Performance of Hydraulic Press

Cited by 9 publications

References 30 publications

Numerical study of the square cup stamping process: a stochastic analysis

Numerical study of the square cup stamping process: a stochastic analysis

A Novel LS-SVM Modeling Method for a Hydraulic Press Forging Process With Multiple Localized Solutions

Two-Level Modeling Based Intelligent Integration Control for Time-Varying Forging Processes

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