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題 名 | Machining Parameters Selection for Stock Removal Turning in Process Plans Using a Float Encoding Genetic Algorithm=應用浮點編碼基因演算法選擇製程規劃中外徑車削循環之加工參數 |
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作 者 | 陳穆臻; 曾賢裕; | 書刊名 | 中國工程學刊 |
卷 期 | 21:4 1998.07[民87.07] |
頁 次 | 頁493-506 |
分類號 | 448.595 |
關鍵詞 | 電腦數值控制機械加工參數; 最佳化; 外徑車削循環; 浮點編碼基因; Machining parameters; Optimization; Stock removal turning; Float encoding genetic algorithm; |
語 文 | 英文(English) |
中文摘要 | 電腦數值控制機械之昂貴投資成本使得加工參數之最適選擇,必須考量加 工成本與實際加工限制。車床加工經常以外徑車削循環(stock removal turning)將圓桿材料車削成具有連續輪廓之工件。本文建立一外徑車削循環作 業之數學模式,並發展一浮點編碼基因演算法(float encoding genetic algorithm, FEGA) 以決定最佳之加工參數。最後,以一車削工件為例,建立加工 最佳化模式,並以FEGA求解。由計算結果獲知FEGA為一適用之車削加工最 佳化方式。本文所發展之加工數學模式與FEGA最佳化方法能夠整合至電腦輔 助製程規劃(CAPP)系統以選擇加工參數。 |
英文摘要 | In view of the expensive investment of a CNC machine, the machining parameters should be optimized by considering the production cost and machining constraints. The machined parts on a CNC turning machine commonly have continuous finished profiles, and the raw materials are cylindrical stocks. This paper introduces a mathematical model to optimize machining parameters for cylindrical stock removal turning. A float encoding genetic algorithm (FEGA) is proposed to solve the formulated machining model. ?An illustrative example for the developed machining model is solved using the FEGA optimization method. From the computational results, it is demonstrated that the proposed optimization algorithm can adequately resolve the machining models. The developed machining model and the FEGA optimization method can be integrated into a computer-aided process planning system (CAPP) to provide consistent and effective process plans. |
本系統中英文摘要資訊取自各篇刊載內容。