In the realm of mechanical machining, adaptive machining techniques offer an efficient method. However, existing adaptive machining technologies cannot automatically identify the type of workpiece to be machined, nor can they set different control targets based on tool load-bearing capacity. This often requires manual and cumbersome operations, making the application of adaptive machining technology difficult to popularize. To address these challenges, this paper proposes an intelligent and efficient adaptive machining method. Specifically, a workpiece automatic classification algorithm based on machine tool spindle power is introduced. This algorithm classifies the machined workpieces according to the collected spindle power data, enhancing the convenience of adaptive machining technology. Also based on spindle power data, a time-series segmentation method is proposed, dividing spindle power into different subsequences according to the tools used in machining, which enhances the accuracy of adaptive machining technology. Furthermore, an adaptive feed rate control algorithm is designed based on fuzzy control theory, realizing intelligent and efficient adaptive machining of workpieces to improve machining efficiency. Finally, experiments are conducted to validate the effectiveness of the intelligent and efficient adaptive machining method. The proposed method effectively addresses the drawbacks of existing adaptive machining method, which require complex parameter settings. It simplifies the operational process, enhances the intelligence, and improves the practical applicability of adaptive machining techniques. This represents an innovative contribution to the field of adaptive machining techniques.

中文翻译：

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基于主轴功率的数控机床加工效率智能过程增强技术


在机械加工领域，自适应加工技术提供了一种有效的方法。然而，现有的自适应加工技术无法自动识别待加工工件的类型，也无法根据刀具承载能力设定不同的控制目标。这往往需要手工且繁琐的操作，使得自适应加工技术的应用难以普及。为了应对这些挑战，本文提出了一种智能高效的自适应加工方法。具体介绍了一种基于机床主轴功率的工件自动分类算法。该算法根据采集的主轴功率数据对加工工件进行分类，增强了自适应加工技术的便利性。还基于主轴功率数据，提出了一种时间序列分割方法，根据加工时使用的刀具将主轴功率划分为不同的子序列，从而提高了自适应加工技术的精度。此外，基于模糊控制理论，设计了自适应进给速度控制算法，实现了工件的智能高效自适应加工，提高了加工效率。最后通过实验验证了智能高效自适应加工方法的有效性。该方法有效解决了现有自适应加工方法参数设置复杂的缺点。简化了操作流程，增强了智能化，提高了自适应加工技术的实际适用性。这代表了对自适应加工技术领域的创新贡献。