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鑽孔特徵辨識與路徑優化整合技術於模具之應用

Applications of Drilling Feature Recognition and Toolpath Optimization for Die and Mold

摘要


CAD/CAM軟體目前雖然可解決大部分加工應用問題,但其中仍須許多人為繁複之操作。本研究開發以Rule-based為基礎之特徵辨識技術,可快速辨識在模具上常見幾種孔特徵(通孔/盲孔/沉頭孔等)。再結合已有之鑽孔路徑優化模型(TSP, Traveling sales person),可大量節省原本需人員手動選取與規劃之時間,並節省鑽孔之時間。為驗證此技術,選定一業界實際之射出模具為例,除可成功辨識出其中所有的孔,並比較幾種不同優化路徑之演算之結果,以取得最適合模具之優化方法。

並列摘要


Although the commercial software like CAD/CAM can be adopted to handle most machining problems, the tedious manual procedures are still indispensable. We developed a rule-based feature recognition technique which can be used to recognize common features of the drilling holes. Furthermore, we apply the TSP (Traveling Sales Person) model to simulate the optimal drilling tool-path. Result shows TSP is able to improve both of the manual configuration time and drilling time. In order to verify this method, an industry-specific injection mold was selected as an example. The proposed method can successfully identify all the holes and compare the results of several different optimal paths to obtain the most suitable method for the mold.

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