Numerical methodologies for sheet metal forming inverse problems

António Andrade-Campos (1)

1 Universidade de Aveiro

The use of optimization methods in engineering is increasing. Process and product optimization, inverse problems, shape optimization and topology optimization are frequent problems both in industry and science communities. In this paper,numerical methodologies for computational mechanics inverse problems, such as the parameter identification and the shape optimization problems in metal forming, are presented and discussed. The parameter identification problem refer to the definition of input parameters to be used in constitutive models for numerical simulations, based on experimental data. The initial blank and tool design problem aim to estimate the initial shape of a blank or a tool in order to achieve the desired geometry after the forming process. special emphasis is done to the right choice of the objective function in this problems. A new objective function is also presented.

Mots clés: Inverse problems; parameter identification; inverse shape optimization.; inverse shape optimization

Domaines: Analyse numérique [math.NA]; Mécanique [physics]; Sciences de l'ingénieur [physics]

António Andrade-Campos. Numerical methodologies for sheet metal forming inverse problems. 2nd ECCOMAS Young Investigators Conference (YIC 2013), Sep 2013, Bordeaux, France. ⟨hal-00855896⟩