五軸工具機之動態同步響應分析及誤差肇因分析及性能監管

五軸工具機是滿足加工生醫、航太、電動車、風力發電等高值化產業零組件不可或缺之利器。然而，目前市面上五軸工具機配套方案不盡完善，缺乏快速且量化之分析工具，無法快速評價設備穩定性優劣。此外，設備使用歷程狀態難以追溯，不易溯源追査肇因而縮短售服時間。五軸動態同步響應分析技術，滿足工具機五軸動態同步響應之調整需求。透過軟體模組自主擷取各軸向之動態迴授速度數據，導入自動參考軸搜尋功能搜尋五軸中動態響應最差之軸向定義為參考軸，並自動產生其他4個軸向之4組對比於參考軸之迴授速度對比圖譜，提供五軸動態同步響應特性可視化工具。五軸設備性能監管技術，透過週期性暖機流程來收集機台設備之動態響應數據，經由數值統計分析與可視化方法顯示軸向伺服動態響應之變異趨勢，能警示機台是否發生動態響應變異，提醒使用者進行檢修，避免不良品的生成，並提供不同時間戳記之數據進行分析比對，來查找影響加工精度與機台動態響應的問題主因。

Five-axis machine tools are indispensable tools for processing high-value industrial components such as biomedicine, aerospace, electric vehicles, and wind power generation. However, the supporting solutions for five-axis machine tools currently on the market are imperfect and lack fast and quantitative analysis tools, making it impossible to quickly evaluate the stability of the equipment. In addition, it is difficult to trace the status of the equipment during using, and to trace the cause and shorten the service time. Five-axis dynamic synchronous response analysis technology meets the adjustment needs for the five-axis dynamic synchronous response of machine tools. The software module independently captures the dynamic feedback speed data of each axis, imports the automatic reference axis search function to search for the axis with the worst dynamic response among the five axes, defines it as the reference axis, and automatically generates 4 comparison chart of feedback speed compared with reference axis. A set of feedback speed comparison charts compared with the reference axis provides a visualization tool for the five-axis dynamic synchronization response characteristics. The five-axis equipment performance monitoring technology collects the dynamic response data of the machine equipment through the periodic warm-up process, displays the variation trend of the axial servo dynamic response through numerical statistical analysis and visualization methods, and can warn the machine whether the dynamic response variation occurs., remind users to perform maintenance to avoid the generation of defective products, and provide data with different time stamps for analysis and comparison to find the main causes of problems that affect processing accuracy and machine dynamic response.