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This study
explores the effect of Vee bending process parameter on the
springback (SB) behavior of aluminum (AA5052) alloy at sheet
thickness of (2 and 3mm) with die-opening (22, 35, and 50 mm)
and punch-holding time (0, 5 and 10 second) which were
experimentally examined. Furthermore, to see the relative effect
of process parameter on SB behavior, a qualitative approach of
analysis of variance (ANOVA) was used, whereas multi linear
regression (MLR) and artificial neural network (ANN) were
applied to optimize the SB behavior on specified process
parameters. The experimental results revealed that as punch
holding time and sheet thickness increase, SB behavior reduced,
whereas in case of die opening, opposite phenomena observed.
ANOVA results revealed that punch-holding time had the greatest
effect on SB, followed by die opening and sheet thickness.
Two-way parametric interactional effects between punch-holding
time and dieopening had a significant effect on SB behavior. By
contrast, the interactional effects of sheet thickness were
insignificant. The comparative study of MLR and ANN shows that
The ANN has better (99% SB predictability) as compared to MLR
(73% SB Predictability). Furthermore, the predicted results of
both models were compared with actual experimental results. It
was observed that the predicted results were approximately near
with actual measurements, whereas the performance of MLR and ANN
model were measured from sum of absolute error and the sum of
the absolute error of ANN was about 12% of that of MLR model.
Therefore, ANN produced a superior SB prediction performance
compared with MLR. This work demonstrates the formability of
AA5052 aluminum alloy in cold work where Vee bending was
performed with a punch radius of 0.8 mm.The bend specimens
showed no cracks, checking, and surface roughness. |