通过激光视觉传感器和强度合规机制,提高基于机器人的螺旋叶片利效率
Yong-Sheng Cheng1, Syed Humayoon Shah1, Shih-Hsiang Yen1
1Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
这项研究介绍了一种自动化机器人系统,用于利螺旋叶片边缘,提高能源效率. 智能系统使用激光视觉和代研磨来获得精确可靠的结果.
科学领域:
- 制造业 工程 制造工程
- 机器人技术 机器人技术 机器人技术
- 航空航天工程 航空航天工程
背景情况:
- 螺旋叶片边缘的度对于能量传输效率和减少推进功率至关重要.
- 造方法面临着边缘断裂和模型变形的挑战,阻碍了精确的边缘厚度.
- 现有的机器人研磨方法在实现细边缘度方面存在局限性.
研究的目的:
- 开发一个自动化的智能系统,用于精确的螺旋叶片边缘利.
- 克服传统制造业和以前的机器人方法的局限性.
- 为了提高螺旋叶片边缘加工的精度和效率.
主要方法:
- 开发了一个智能系统,集成了一个六度DoF工业机器人和一个激光视觉传感器.
- 实施了一种利用视觉传感器配置数据的代研磨补偿策略.
- 用于机器人研磨,采用了与主动力控制有关的定制合规机制.
主要成果:
- 该系统实现了螺旋叶片边缘在指定厚度公差范围内精确高效的加工.
- 在三种不同的四叶片螺旋模型上进行了验证.
- 代研磨补偿和合规机制提高了加工精度和性能.
结论:
- 拟议的智能机器人系统为实现精细利的螺旋叶片边缘提供了可靠的解决方案.
- 这种自动化解决了制造关键螺旋部件的关键挑战.
- 该系统显示了与之前的螺旋叶片机器人研磨研究相比的显著改进.
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