通过图像处理和计算智能优化2D不规则包装
Longhui Meng1, Liang Ding2, Yunkai Pu1
1School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing, 211816, China.
Scientific reports
|April 10, 2025
概括
本研究介绍了一种使用图像处理和人工智能的新方法,以优化不规则形状的包装,减少材料浪费,提高工业切割和包装过程的效率.
科学领域:
- 工业工程 工业工程 工业工程
- 计算机科学 计算机科学
- 材料科学 材料科学 材料科学
背景情况:
- 材料浪费和低于最佳的布局是工业切割和包装的重大挑战,特别是有不规则形状的部件.
- 现有的方法在安排2D组件时努力实现高效率和紧性,这导致了经济和环境方面的担忧.
研究的目的:
- 引入一种新的方法来优化固定板上不规则形状的2D元件的排列.
- 通过先进的图像处理和计算智能提高材料利用率和包装效率.
主要方法:
- 集成先进的图像处理和计算智能技术.
- 使用规范化的二维交叉相关性来增强模板匹配.
- 包括关键步骤,如切割交叉相关性矩阵和战略模式放置.
主要成果:
- 与传统方法相比,材料利用和包装效率的显著改善.
- 减少了组件之间的间隙,导致更紧的布局.
- 在排列过程中提高计算效率.
结论:
- 开发的方法为优化工业切割和包装提供了实用和可扩展的解决方案.
- 这种方法有效地弥合了理论研究和工业应用之间的差距.
- 有助于减少材料浪费和优化制造业的空间利用.
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