Abstract
To improve the numerical control machining efficiency of the rocket tank panel with multi-pocket, a tool optimization selection method for multi-pocket based on genetic algorithm was proposed. The influence of tool size and machining strategy on machining time was studied. Then, the machining time model of the tool milling process was constructed. The tools in the optional tool group were used as genetic genes, the milling machining time as the fitness function, and the tool diameter and tool number as the optimization variables, a genetic algorithm for optimal selection of roughing tools was established to maximize machining efficiency based on existing machining resources. The example test showed that the tool selected by the proposed method could shorten the machining time by 64. 5 % compared to the initial tool machining time.
| Translated title of the contribution | Tool selection method for numerical control machining of rocket tank panels based on genetic algorithm |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 385-391 |
| Number of pages | 7 |
| Journal | Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS |
| Volume | 29 |
| Issue number | 2 |
| DOIs | |
| State | Published - 28 Feb 2023 |
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