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Journal Articles International Journal of Material Forming Year : 2022

Relevant material characterization for load prediction in incremental forming

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Robotic incremental sheet forming has arisen a recent industrial interest, as a more flexible and cost-effective solution to the process using rigid computer numerical control (CNC) machines. However, the numerical prediction of the forming loads and final geometry coupled to an elastic modeling of the robot is essential to optimize the robot trajectory and thus to ensure the geometrical accuracy of the final part. Within this context, the aim of this study is to investigate the accuracy of the load prediction in the case of a single point incremental forming process of a commercially pure (CP) titanium alloy sheet. The mechanical behavior is characterized at room temperature under two strain states, i.e., uniaxial and biaxial tension, and a truncated cone of the same material is obtained by single point incremental forming. A 3D cell records all the components of the applied load during the forming and the part is laser scanned at the end of the process, though still clamped along the outer edge. A numerical model of the process is developed assuming some symmetries to reduce the computational time. The influence of the hardening law, either identified from the uniaxial or biaxial tensile tests, on the forming load prediction is investigated, with a focus on the strain path during single point incremental forming.
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Dates and versions

hal-03631021 , version 1 (25-07-2022)



A. Abdelkefi, Dominique Guines, Lionel Leotoing, S. Thuillier. Relevant material characterization for load prediction in incremental forming. International Journal of Material Forming, 2022, 15 (3), pp.23. ⟨10.1007/s12289-022-01676-6⟩. ⟨hal-03631021⟩
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