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.
Original language | English |
---|---|
Title of host publication | Material Forming ESAFORM 2015 |
Publisher | Trans Tech Publications Ltd |
Pages | 1363-1368 |
DOIs | |
Publication status | Published - 15 Apr 2015 |
Event | 18th International ESAFORM Conference on Material Forming, ESAFORM 2015 - Graz, Austria Duration: 15 Apr 2015 → 17 Apr 2015 Conference number: 18 |
Publication series
Name | |
---|---|
Publisher | Trans Tech Publications |
Volume | 651-653 |
ISSN (Print) | 1013-9826 |
Conference
Conference | 18th International ESAFORM Conference on Material Forming, ESAFORM 2015 |
---|---|
Abbreviated title | ESAFORM 2015 |
Country/Territory | Austria |
City | Graz |
Period | 15/04/15 → 17/04/15 |
Keywords
- IR-96306
- METIS-310900