The application and optimization of rolling processing technology in improving the efficiency of deep hole processing
With the advancement of technology, the field of deep hole processing faces dual challenges of increased precision and increased production. Although traditional honing and grinding processes dominate, they are inefficient and do not adapt to large-scale production. Rolling processing technology has...
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Veröffentlicht in: | Advances in mechanical engineering 2024-12, Vol.16 (12) |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | With the advancement of technology, the field of deep hole processing faces dual challenges of increased precision and increased production. Although traditional honing and grinding processes dominate, they are inefficient and do not adapt to large-scale production. Rolling processing technology has become an alternative solution with its advantages of high precision and high efficiency. This study aims to apply rolling processing to deep hole processing to improve efficiency. An elastic-plastic model was constructed to clarify the relationship between stress, strain, and displacement, and it was transformed into a simulated flow plastic stress equation. A finite element model was established, and its accuracy was verified through experiments, revealing the effects of various parameters on stress and strain. In the experimental stage, the amount of interference, feed speed, and rotation speed were identified as the main influencing factors, and a multi-objective optimization model was established accordingly. Comparative analysis showed that the grinding accuracy was the highest (0.13 μm), while the multi-objective optimization combination and variance combination reached 0.22 and 0.31 μm, respectively. In terms of processing efficiency, rolling is ten times that of grinding. Rolling processing can replace some grinding processes under specific conditions, significantly improving efficiency, which is of great significance for the development of deep hole processing technology. |
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ISSN: | 1687-8132 1687-8140 |
DOI: | 10.1177/16878132241296904 |