Real-Time Identification and Control of Springback in Sheet Metal Forming

Abstract

Sheet metal forming processes are prone to variations in material and process parameters. In an unmanned manufacturing cell, all the control functions must be automated and real-time measurement, identification, and control are necessary for satisfactory operation in the presence of these disturbances. A methodology is developed here for on-line identification of key material and process parameters in a combined stretch-bend situation. The springback predictions obtained from this scheme are verified, and an algorithm for on-line control of springback in plane strain stretch-bend operations is then discussed.