Radial Basis Functional Model of Multi-Point Dieless Forming Process for Springback Reduction and Compensation

Abstract

Springback in multi-point dieless forming (MDF) is a common problem because of the small deformation and blank holder free boundary condition. Numerical simulations are widely used in sheet metal forming to predict the springback. However, the computational time in using the numerical tools is time costly to find the optimal process parameters value. This study proposes radial basis function (RBF) to replace the numerical simulation model by using statistical analyses that are based on a design of experiment (DOE). Punch holding time, blank thickness, and curvature radius are chosen as effective process parameters for determining the springback. The Latin hypercube DOE method facilitates statistical analyses and the extraction of a prediction model in the experimental process parameter domain. Finite element (FE) simulation model is conducted in the ABAQUS commercial software to generate the springback responses of the training and testing samples. The genetic algorithm is applied to find the optimal value for reducing and compensating the induced springback for the different blank thicknesses using the developed RBF prediction model. Finally, the RBF numerical result is verified by comparing with the FE simulation result of the optimal process parameters and both results show that the springback is almost negligible from the target shape.

Study on the Influence of Bending Angle of Multipoint Stretch-Bending of Profiles on Section Distortion of Parts

“…In Figure 4, B 0 represents the length of the rectangular section before deformation, B represents the length of the rectangular section after deformation, H 0 represents the height of the rectangular section before deformation, and H represents the height of the rectangular section after deformation. (B − B 0 )/B indicates the bulging rate, and (H − H 0 )/H indicates the depression rate [17,18]. e variation of depression rate and bulging rate with the bending angle and the type of bulging rate has been studied [19].…”

“…erefore, a large amount of waste parts may be processed, resulting in an increase in cost [14][15][16]. So, exploring the variation law of cross-section distortion of aluminum profiles during three-dimensional stretch-bending has certain guiding significance for actual production [17][18][19]. is paper investigates the influence of the bending angle of the profile on the cross-section distortion and the variation law.…”

Advances in Plastic Forming of Metals

“…Among other things, they determine the conditions upon which necking is suppressed, so that failure in SPIF is by ductile fracture. Abebe et al [18] examine springback in multi-point dieless forming, especially in the context of reducing computational time. They propose to replace numerical simulations of springback with statistical analyses based on design of experiments.…”

An Equivalent Calculation Method for Press-Braking Bending Analysis of Integral Panels

“…The FE model consists of An FE simulation of the forming process is performed via the Abaqus 6.14 platform. The explicit algorithm of Abaqus/explicit module fitted for dynamic and non-linear analysis is used to simulate the bending process and the implicit algorithm of Abaqus/standard module adapted to static and steady analysis is used for springback simulation [31]. The punch and support bodies are considered as rigid bodies in comparison with the deformable plate [32,33].…”