結合有限元素法與類神經網路應用於塊材及薄膜之奈米壓痕試驗分析

奈米壓痕試驗分析目前主要應用於高科技精密工業，由於壓痕尺寸過於微小不易由儀器直接量測獲得所要的資料結果，因此在量測過程中係藉由壓痕器探針對試件進行壓痕，紀錄壓痕過程至完全卸載結束之負載與壓痕深度之曲線關係，而得到機械性質。本文結合壓痕試驗、有限元素分析及類神經網路應用於預測高速鋼、模具鋼及薄膜等之模具材料之應力-應變曲線。首先以有限元素法模擬壓痕試驗過程，且與其他文獻比較負載-卸載曲線有相當吻合之結果，其次探討不同探針角度和材料參數如楊氏係數、降伏強度及切線模數對於負載-卸載曲線之影響；最後利用類神經網路整合有限元素分析結果之數據，經網路訓練後獲得材料之應力-應變曲線預測模式，且應用於高速鋼、模具鋼及薄膜等之預測。

關鍵字

奈米壓痕試驗；有限元素法；類神經網路；應力-應變曲線

並列摘要

Nanoindentation test analysis is primary to apply in the high-tech and precise industry, because of indentation size is too small not easily by the data that direct measurement want when acquiring of the instrument result, therefore is the indentation indenter in the measurement process by pressing to workpiece to carry on the indentation, the record indentation process goes to completely unload the end it to load with the curve of indentation depth relation. This study established a prediction model for predicting stress-strain curve using the indentation test combined with FEM and an abductive network. To verify the prediction of FEM simulation for loading and unloading curve of indentation process, the experimental data are compared with the results of current simulation. Loading and unloading curve are also investigated for different material parameters, such as Young’s modulus, Yielding strength and Tangent’s modulus, by finite element analysis during the indentation process. The abductive network is then utilized to synthesize the data sets obtained from numerical simulations. Thus the prediction model is established for predicting the stress-strain curve (Young’s modulus, Yielding strength and Tangent’s modulus) under a suitable range of material parameters. Finally, the proposed method is application to determine the stress-strain curve of die material of high speed steel.

並列關鍵字

Nanoindentation test ； Finite element method ； Abductive network ； Stress-strain curve

參考文獻

[1] Tabor D., “The hardness of metal.” Oxford Univ. Press., 1951.

Google Scholar

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