Dynamic modeling prediction and online process optimization method for spinning forming of curved surface part

The invention discloses a dynamic modeling prediction and online process optimization method for spinning forming of a curved surface part, and the method comprises the steps: constructing a spinning finite element model of a target size blank, and discretizing the spinning simulation process of the...

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Bibliographische Detailangaben
Hauptverfasser: LI XINSHUN, GAO PENGFEI, ZHAN MEI, YAN XINGGANG, FAN XIAOGUANG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a dynamic modeling prediction and online process optimization method for spinning forming of a curved surface part, and the method comprises the steps: constructing a spinning finite element model of a target size blank, and discretizing the spinning simulation process of the finite element model into a plurality of continuous stages; in each stage, spinning simulation is carried out under different spinning process parameters, and forming results corresponding to the spinning process parameters in the current stage are obtained; according to the obtained spinning process parameters of all the stages and the corresponding forming result data, an agent model of the incidence relation between the forming result and the corresponding spinning process parameters is constructed; according to the agent model and a preset optimization target, optimal spinning process parameters of the current stage are calculated; and determining the optimal spinning process parameters corresponding to each s