For the problem of uneven thickness easily caused in the incremental forming of metal sheet, based on the multi-point incremental forming process, reasonable process parameters were elected, finite element model was established, orthogonal experiment program was designed, and the incremental forming process of pyramid part was simulated numerically by ANSYS/LS-DYNA. Then, range analysis, variance analysis and BP neural network optimization of orthogonal experiment results were carried out. The results show that the feed has the greatest effect on the uniformity of wall thickness of targeted forming area in the multi-point incremental forming of sheet, and the second greatest effect is on the tool-head radius, while the impact of feed speed is little. Comparing with the results of the orthogonal experiment, the error of prediction results by BP neural network is less than 5%. Therefore, a targeted part with even wall thickness can be obtained with the tool-head radius of 6 mm, feed of 0.25 mm and feed speed of 30 mm·s-1 in the multi-point incremental forming of 1060 Al alloy sheet.
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