Inverse Identification of Process Variations for Thin Steel Sheet Bending

Jos Havinga; Ton van den Boogaard

doi:10.4028/www.scientific.net/KEM.651-653.1363

Paper Titles

Identification Problem of Internal Variables Model of Material
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Inverse Analysis Procedure to Determine Flow Stress and Friction Data for Metal Cutting Finite Element Modeling
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Using Data Sampling and Inverse Optimization for the Reduction of the Experimental Effort in the Characterization of Hot Working Behaviour for a Case Hardening Steel
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Determination of Thermal Boundary Conditions for Modeling the Hot Roll Bonding Process
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Inverse Identification of Process Variations for Thin Steel Sheet Bending
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Sensitivity Analysis for Numerical Sheet Metal Forming Processes
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Intelligent Advisory System for Support of Production Process Design in the Domain of Metal Forming
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Application of a Non-Invasive Form Finding Algorithm to the Ring Compression Test with Varying Friction Coefficients
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Multi-Objective Optimization of Metal Forming Processes Based on the Kalai and Smorodinsky Solution
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 651-653Inverse Identification of Process Variations for...

Inverse Identification of Process Variations for Thin Steel Sheet Bending

Abstract:

The stability of a metal forming production process is influenced by several sources of scatter such as variation of material and lubrication properties. Identification of the sources of variation is needed to optimize the process settings or to design a control strategy for the process. Many engineers point out sources of variation by experience, but in complex cases a computational identification algorithm may be used to investigate the process. When using parameter estimation in a control system, process forces can be used for the estimation. However, many parameters may influence the process forces. Therefore extensive models are needed to be able to identify the process parameters, including parameters such as tooling misalignment. In the current work, a thin steel flap bending process is studied. Measurements from an industrial press are used to identify the process parameters. A metamodel based inverse analysis procedure is used. The procedure is extended with proper orthogonal decomposition (POD) of the force curves to increase its convergence rate.

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Periodical:

Key Engineering Materials (Volumes 651-653)

Pages:

1363-1368

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.651-653.1363

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Online since:

July 2015

Authors:

Jos Havinga*, Ton van den Boogaard

Keywords:

Inverse Analysis, Process Variation, Proper Orthogonal Decomposition, Sheet Bending, Tooling Alignment

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