本論文研究探討伸線製程模擬之參數最佳化問題,由於今日伸線廠進行大量伸線生產前時會對於伸線機台進行試抽的動作,所以需要大量的伸線試抽時間與試抽成本,才可以找出產品較高品質與良好的生產良率。故本研究目的為獲得最佳的伸線製程加工品質,使用有限元素分析進行伸線模擬,在配合最佳化方法得到最佳設計,這不但能縮短開發時程,而且大幅提升效率,降低成本浪費。 有鑑於此,本研究透過實驗設計(Designs of experiment, DOE) 找出影響伸線製程的參數:抽線速度、眼模角度、定徑帶長度及縮減率,且探討抽線成形的拉伸力和眼模溫度與伸線製程的參數之關係。並且使用中央合成設計之實驗規劃,再配合 DEFORM進行參數模擬,將模擬帶回實驗規劃,然後找出拉伸力與溫度最小的最佳參數。最後,將求得之伸線製程的最佳參數組合提供給伸線廠伸線時之參考。
This research investigates the parameter optimization for drawing process simulation. Although drawing plants must trial drawing on machines before mass production to find higher production quality and yield, the trial is both time and cost consuming. This research aims to simulate drawing for optimal processing quality with limited elements to find the optimal design with the optimal method. Besides shortening development lead time, simulation can significantly enhance efficiency and minimize cost. The researcher located the parameters affecting the drawing process: drawing speed, die angle, bearing length, and reduction rate, with the design of experiments (DOE); and reviewed the correlations among tensile pull, die temperature, and drawing process parameters in stretch forming. This study simulated parameters using central composite design (CCD) experiment planning and the DEFORM software to bring simulation back to the experiment planning to find the optimal parameters at the lowest tensile pull and temperature. Lastly, the optimal set of parameters obtained from the experiment was provided for the drawing reference of drawing plants.