Department of Mechanical Engineering, Universidad Politécnica de Madrid, 28006 Madrid, Spain.
Department of Mechanical, Computer and Aerospace Engineering, Universidad de León, 24071 León, Spain.
Sensors (Basel). 2018 Sep 17;18(9):3132. doi: 10.3390/s18093132.
In the current meso cutting technology industry, the demand for more advanced, accurate and cheaper devices capable of creating a wide range surfaces and geometries is rising. To fulfill this demand, an alternative single point cutting device with 6 degrees of freedom (6DOF) was developed. Its main advantage compared to milling has been the need for simpler cutting tools that require an easier development. To obtain accurate and precise geometries, the tool tip must be monitored to compensate its position and make the proper corrections on the computer numerical control (CNC). For this, a stereo vision system was carried out as a different approach to the modern available technologies in the industry. In this paper, the artificial intelligence technologies required for implementing such vision system are explored and discussed. The vision system was compared with commercial measurement software Dino Capture, and a dedicated metrological microscope system TESA V-200GL. Experimental analysis were carried out and results were measured in terms of accuracy. The proposed vision system yielded an error equal to ±3 µm in the measurement.
在当前的中面切割技术行业中,对能够创建更广泛表面和几何形状的更先进、更精确和更便宜的设备的需求正在上升。为了满足这一需求,开发了一种具有 6 个自由度 (6DOF) 的替代单点切割设备。与铣削相比,它的主要优势在于需要更简单的刀具,开发起来也更容易。为了获得精确和精确的几何形状,必须监测刀具尖端,以补偿其位置,并在计算机数控 (CNC) 上进行适当的校正。为此,采用立体视觉系统作为行业中现代可用技术的一种不同方法。本文探讨和讨论了实现这种视觉系统所需的人工智能技术。将视觉系统与商业测量软件 Dino Capture 和专用计量显微镜系统 TESA V-200GL 进行了比较。进行了实验分析,并根据精度来衡量结果。所提出的视觉系统在测量中产生的误差等于±3 µm。