Metal Forming Simulation Techniques
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Abstract
Abstract
To address poor dimensional precision and compromised service performance caused by neutral layer displacement in sheet metal bending, this study integrates numerical simulation and experimental validation to establish a bending process database for thin sheets of various thicknesses. Key factors affecting neutral layer displacement are analyzed, and a prediction model for the neutral layer coefficient k is developed, with an absolute validation error below 0.05 in k for the reported verification cases. A differentiated parameter optimization strategy is proposed: thinner sheets use smaller bending radii and higher speeds; as thickness increases, the radius is enlarged and speed reduced. For sheets thicker than 1.0mm, a larger radius and strictly controlled speed are required to inhibit abnormal displacement. The findings provide a theoretical basis for precise parameter optimization and significantly improve sheet metal forming quality.
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@article{Li2026Prediction,
title = {Prediction of Neutral Layer Shifting in Thin Sheet Metal Bending: A Combined Finite Element Simulation, Machine Learning, and Experimental Study},
author = {Gao Li and Zhiheng Niu and Shixi Zhao and Xinhao Zhou and Bing Wang},
journal = {Journal of Advanced Manufacturing Systems},
year = {2026},
doi = {10.1142/s0219686728500138},
url = {https://doi.org/10.1142/s0219686728500138}
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