在基于计算机视觉和统计方法的自动零售亭中使用的3D打印的杆和鱼骨轮的磨损分析
Jakub Bryła1, Adam Martowicz1, Maciej Petko1
1Department of Robotics and Mechatronics, AGH University of Krakow, Al. Mickiewicza 30, 30-059 Krakow, Poland.
Materials (Basel, Switzerland)
|August 26, 2023
概括
这项研究评估了用于自动零售亭的3D打印PET-G轮. 轮几何学的破坏性测试揭示了磨损,证实了它们在机械系统中的潜在可靠性.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 增材制造 增材制造 增材制造
背景情况:
- 增材制造 (AM) 为生产机械元件提供了新的可能性.
- 聚乙烯二甲酸甘醇 (PET-G) 是用于AM应用的常见丝材.
- 在苛刻的应用中,AM部件的长期耐用性需要进行彻底的评估.
研究的目的:
- 评估由PET-G.制成的3D打印螺杆和鱼骨轮的磨损性能.
- 为了确定这些具是否适合在自动零售亭中持续使用.
- 开发和验证用于识别3D打印轮磨损的方法.
主要方法:
- 破坏性测试包括在树脂封装和切割后对轮横截面几何学的视觉检查.
- 通过动力学参数和驱动扭矩的统计特征进行非破坏性测试.
- 在实际工业条件下使用批量生产的零件进行实验验证.
主要成果:
- 证明了基于视觉的几何特征的有效性,用于识别3D打印轮中的磨损诱导的形状演变.
- 确定了有用的动力学和基于扭矩的指示器,用于非破坏性地跟踪装备的磨损.
- 证实了破坏性测试技术在工业环境中磨损评估的实际适用性.
结论:
- 3D打印的PET-G轮显示出在特定的机械系统 (如自动零售亭) 中长期开发的希望.
- 提出的破坏性测试方法为AM部件的磨损识别提供了有效的索引.
- 该研究通过几何分析为评估3D打印组件的耐用性提供了一种新的方法.
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