Marginal-restraint mandrel-free spinning process for thin-walled ellipsoidal heads
Autor: | Xin-He Li, Dao-Guang He, Yong-Cheng Lin, Jia-Yang Chen, Jian Yang |
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Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Work (thermodynamics) Fabrication Materials science Polymers and Plastics Mechanical Engineering Process (computing) Thin walled 02 engineering and technology Ellipsoid Industrial and Manufacturing Engineering Finite element method Mandrel 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Mechanics of Materials Composite material Spinning |
Zdroj: | Advances in Manufacturing. 8:189-203 |
ISSN: | 2195-3597 2095-3127 |
Popis: | Metal sheet spinning is an advanced near-net forming technology for the manufacture of thin-walled ellipsoidal heads. The exact control of dimensional accuracy, however, is a considerable problem for spinning thin-walled parts with large diameter-to-thickness ratios. In this work, a marginal-restraint mandrel-free spinning process with two passes is proposed for the fabrication of thin-walled ellipsoidal heads without wrinkling. A finite element model is established and verified to study the influences of spinning parameters on the dimensional precision of thin-walled ellipsoidal heads. It is found that the spinning parameters considerably influence the deviations of wall thickness and contour characteristics. A small forming angle or small roller fillet radius during the first pass spinning, as well as the small angle between passes or high feed ratio during the second pass spinning, can improve the wall thickness precision. Meanwhile, as the forming angle or feed ratio is increased during the first pass spinning, the contour precision initially increases and then decreases. During the second pass spinning, the contour precision can be improved at a small angle between passes, whereas it deteriorates at a larger roller installation angle. The optimized spinning parameters are obtained and verified by experiments. |
Databáze: | OpenAIRE |
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