脫脂製過程在金屬粉末射出成型製程中相當耗時，關係著製造成本，胚體內黏結劑的殘留量足以影響成品品質，因此脫脂過程具有舉足輕重的地位。 影響胚體內黏結劑殘留量的參數相當多，綜合參考文獻得知，脫脂製程中最基本的影響參數為空孔度；一般數值模擬，多半將以上參數假設為均勻分布，如此的假設使得數值模擬有失真實性，因為在實際胚體中粉末分布會因為控制體積之不同而有所差異。 本研究先運用最大熵方法決定局部空孔度的分布函數與特徵長度，再運用統計方法計算其機率分布，最後對分布函數以卡方檢定法結合雙尾統計假設做統計檢定，其說明此分布函數可用beta函數取代，並用以模擬實際的局部空孔度分布。 The removal of binder in the metal powder injection molding (MIM) is the most time consuming step and determines the manufacturing cost. The residual quantity of binder in the compact has great influences on the mechanical properties of the products. So the de-binding process proves to be the key step in MIM. From literature reviews, porous is the most important parameter. In most numerical simulations parameters are assumed as ideal as possible, and the results are thus unrealistic. This study utilizes statistical form to calculate local porous distribution (LPD), then applying the maximum entropy method (MEM) to determine lattice constant and distribution function. Finally, the distribution function is proved to be a beta function by statistical testing.
