An extended approach to improve adaptive milling of solid wood workpieces is described. It is based on the joint usage of two physically different methods: non-contact ultrasonic scanning of the workpiece body and optical recognition of the wood fibers direction on the workpiece surface. To implement the proposed approach, it is necessary to change the existing technological route of furniture workpieces processing. A stage before the milling operation should be included. This stage involves the sequential execution of ultrasonic scanning, computer processing, and optical recognition of the obtained data. It allows us to determine the wood density, the internal defects localization, and the direction of wood fibers. Computer processing involves the usage of a virtual orthogonal grid. This grid covers the workpiece surface, on which the trajectory of the milling cutter is projected. The projection of the milling path is represented by the set of cells. It defines the local processing area. The gathered information about the wood properties is suggested to use for the adaptive selection of the important equipment technological parameters, such as the feed rate and the cutter rotation frequency. Varying of these parameters values and considering the physicomechanical properties of wood at the processing area allow us to improve the milling quality.

描述了一种改进实木工件自适应铣削的扩展方法。它基于两种物理上不同方法的联合使用：工件本体的非接触式超声波扫描和工件表面木纤维方向的光学识别。要实施所提出的方法，有必要改变现有的家具工件加工工艺路线。应包括铣削操作之前的一个阶段。该阶段涉及超声扫描的顺序执行、计算机处理和获得数据的光学识别。它使我们能够确定木材密度、内部缺陷定位和木材纤维的方向。计算机处理涉及使用虚拟正交网格。该网格覆盖工件表面，铣刀的轨迹投影在其上。铣削路径的投影由一组单元表示。它定义了本地处理区域。建议将收集到的有关木材特性的信息用于自适应选择重要的设备工艺参数，如进给速度和刀具旋转频率。改变这些参数值并考虑加工区域木材的物理力学特性使我们能够提高铣削质量。例如进给速度和刀具旋转频率。改变这些参数值并考虑加工区域木材的物理力学特性使我们能够提高铣削质量。例如进给速度和刀具旋转频率。改变这些参数值并考虑加工区域木材的物理力学特性使我们能够提高铣削质量。