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  • 學位論文

鎂合金橢圓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 Elliptic Cylindrical Cup From Warm Deep Drawing of Magnesium AZ31

指導教授 : 楊東昇
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摘要


本文結合類神經網路與有限元素法對鎂合金橢圓杯深引伸胚料之最佳化預測,鎂合金橢圓杯深引伸成品其高度會有高低起伏之現象,而此現象可藉由胚料外型之設計,使得橢圓杯成品之高低起伏現象減少。本研究以不同杯高、各種長短軸比與溫度為製程參數,利用有限元素法分析不同參數下之材料流動特性,再將分析結果與類神經網路結合,建立胚料形狀最佳化預測模型,使得橢圓杯深引伸產品高度相近。本研究也實際製作模具進行鎂合金橢圓杯深引伸,比較理論預測與實驗之差異,結果發現建立的胚料預測模型在鎂合金橢圓杯深引伸過程有合理的準確性。

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 an elliptic cylindrical cup of Magnesium AZ31with ear-less in warm deep drawing. Different cup heights combined with various aspect ratios and various temperature of the elliptic cylindrical 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 Magnesium elliptic cylindrical cup with ear-less can be found. Experiments were carried out with Magnesium sheet blanks at various temperature for some cases, and the results of experiments show good agreement with the predictive model.

參考文獻


[27] 李協聰、管金談、李文忠、林清田,長方杯引伸胚料形狀設計之研究,台灣鍛造協會會刊,Vol.18,2009,pp.26-34。
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