- 學位論文
鈦金屬長方杯深引伸過程板材外型之預測
Application of Abductive Network and FEM to Predict The Optimal Blank Contour of An Rectangular Cup From Deep Drawing of Titanium Sheets
摘要
本文是使用有限元素法及類神經網路對純鈦長方杯深引伸成形做胚料外型最佳化設計，板材在深引伸成形時會因板材外型不佳而造成成形後杯口高低起伏，為了使其能有效的減少高低起伏的產生，使用有限元素法模擬長方杯深引伸，在配合不同長方杯的長寬比和高度比參數進行模擬，模擬後分析其應力、成形力、高度和厚度，完成後對胚料外型進行修剪使其杯口平整，修剪完成後可以得到胚料外型最佳化的製程參數，再來利用最佳化外型之製程參數配合類神經網路，經由類神經網路可獲得長方杯最佳化胚料外型之預測模式，本文也對純鈦長方杯進行深引伸實驗，將實驗結果和模擬進行比對，發現結果是相當接近的，最後對預測模組進行驗證，其結果也在誤差範圍內。
並列摘要
In this paper, the finite element method is employed in conjunction with the abductive network to predict the optimum blank contour of a rectangular cup in deep drawing of pure titanium. The height fluctuation behavior of the drawn cup is caused primarily by the unsuitable shape of blank. Different cup heights combined with various aspect ratios of the rectangular cup are taken into account as the process parameters in this study. A finite element-based code is utilized to investigate the material flow characteristics under different process parameters, and the abductive network is then employed to synthesize the data sets obtained from numerical simulations, thus establishing a predictive model. From this model, an optimal blank contour for producing a rectangular cup can be found. Experiments were carried out with pure titanium sheet blanks for some cases, and the results of experiments show good agreement with the FEM calculations.