Paper
25 October 2023 Research on progressive forming quality control technology for sheet metal parts
Haotian Wang, Peng Gu, Lizhong Sun, Litong Zhang
Author Affiliations +
Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 1280147 (2023) https://doi.org/10.1117/12.3008225
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China
Abstract
In order to reduce the corrugations of pieces and improve the surface quality of pieces in single point progressive forming (SPIF), the forming process parameters were studied. Aiming at the complexity of single point progressive forming process, the prediction and analysis models of different process parameters, surface corrugateness and geometric deviation of inclined straight wall parts were established based on the response surface method by Box Behnken Design method. The reliability of the prediction model was analyzed by ANOVA (variance), and the influence law of process parameters and evaluation index was analyzed. The optimal process parameter combination is obtained and the accuracy of the model is verified. The results show that the layer feed of inclined straight wall parts is the most significant factor affecting the surface corrugations of parts, and then the influence degree from weak to strong is the diameter of tool head and forming Angle.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Haotian Wang, Peng Gu, Lizhong Sun, and Litong Zhang "Research on progressive forming quality control technology for sheet metal parts", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 1280147 (25 October 2023); https://doi.org/10.1117/12.3008225
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KEYWORDS
Head

Design and modelling

Error analysis

Metals

Mathematical optimization

Analytic models

Quality control

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