一台用于印刷电路板的全自动钻机,具有卓越的路径优化
Mohamed Mamdouh1, Ahmed Khalid1, Reem Mahmoud1
1The Electrical Engineering Department and FabLab, Centre of Emerging Learning Technologies CELT, British University in Egypt (BUE), Cairo, 11387, Egypt.
Scientific reports
|November 18, 2025
概括
本研究介绍了一台人工智能驱动的自动钻机,用于印刷电路板 (PCB) 制造. 它通过优化钻井路径显著减少错误和生产时间,提高效率和质量.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 制造业 制造技术 制造技术
背景情况:
- 由于复杂的设计,目前的印刷电路板 (PCB) 制造面临着精度和时间方面的挑战.
- 现有的钻探方法在不同的孔尺寸,组件放置和复杂的几何形状上扎.
- 这导致PCB制造中的精度受损,生产周期延长.
研究的目的:
- 提出一种人工智能驱动的,完全自动化的钻机,用于增强PCB制造.
- 用先进的算法优化钻探路径,以提高精度和减少生产时间.
- 解决目前评估复杂PCB设计的方法的局限性.
主要方法:
- 开发一台人工智能驱动的自动钻井机,采用复杂的路径规划算法.
- 对PCB设计的智能分析以优化钻井序列并最大限度地减少错误.
- 使用KiCAD EDA软件用于自动生成Gerber文件和G码.
主要成果:
- 与手动方法相比,路由效率提高了13倍.
- 显著减少了生产时间,并最大限度地减少了制造错误.
- 通过成功的连续性测试和PCB生产中优质的质量完成,验证了系统有效性.
结论:
- 由人工智能驱动的自动钻井系统在PCB制造效率和精度方面取得了重大进展.
- 这项研究为进一步整合机器学习和优化技术在电子设计中铺平了道路.
- 拟议的系统提高了整体生产率,并确保了高质量的电路板生产.
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