目前電腦輔助製造軟體廣泛運用於機械加工業中，但卻因為操作步驟過於繁雜，並且受限於刀路規劃人員的經驗，而降低了刀路規劃人員的工作效率，因此有效的縮短刀路規劃時間以及提升產品加工效率為本研究之重心所在。為了縮短刀路規劃時間，本研究以德國西門子公司開發之NX為開發環境，並藉由NX所提供的應用程式介面(Application Programmimg Interface，簡稱API)進行一自動化具路徑規劃系統開發，其內部包含零件的加工部位辨識、刀具選擇法則以及工序規劃演算法。藉由本研究所開發的加工部位辨識先將幾何進行分類，再依據不同的工序以及加工部位自動篩選出適合的加工刀具以及加工參數，並自動規劃適合的工法。除此之外，以戴克斯特拉演算法(Dijkstra's algorithm)與貪婪演算法(Greedy algorithm)為基礎開發出一套工法編排的演算法，著重在縮短粗中加工的加工時間，以粗加工、二次粗加工與中加工三種工序所輸出的加工時間進行排列組合，最後輸出可以提升加工效率的工序組合。藉由本研究所開發之刀具路徑規劃系統，不僅縮短了刀具路徑規劃人員的工作時間，並且所規劃的刀具路徑除了具有合理性，也提升了產品的生產效率。

Computer-aided manufacturing (CAM) software is commonly used in the manufacturing industry to help the programming of computer numerical control (CNC) machines. With the advancement of technology, CAM software contains many kinds of methods to improve the machining efficiency and quality, and the software companies are constantly developing and optimizing new tool path strategies. Although there are abundant options to finish the programming, it still depends on the engineers’ experience to decide the combination of cutting parameters and strategies. Therefore, this study developed an automatic tool path planning system based on the CAM software, NX, which is developed by Siemens AG. The developed system included variety of commonly used cutting strategies, tool database, and geometry recognition functions. In this system, the cutting area recognition function first classifies the geometry, and then automatically selects suitable cutting tool and cutting parameters according to different materials, processes, and cutting areas. The cutting strategies and operations are then automatically planned. In order to shorten the cutting duration of roughing and semi-finishing operations, a set of tool path planning results will be compared using Dijkstra's algorithm and Greedy algorithm. The combination of roughing and semi-finishing operations with the shortest operation time will be selected by the developed system to confirm the production efficiency.

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