博碩士論文 90323080 完整後設資料紀錄

DC 欄位 語言
DC.contributor機械工程學系zh_TW
DC.creator李培民zh_TW
DC.creatorPei-Min Leeen_US
dc.date.accessioned2003-7-2T07:39:07Z
dc.date.available2003-7-2T07:39:07Z
dc.date.issued2003
dc.identifier.urihttp://ir.lib.ncu.edu.tw:444/thesis/view_etd.asp?URN=90323080
dc.contributor.department機械工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract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。zh_TW
dc.description.abstractThe 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.en_US
DC.subject最大熵方法zh_TW
DC.subject空孔度zh_TW
DC.subject局部空孔度分布zh_TW
DC.subjectzh_TW
DC.subject金屬粉末射出成型zh_TW
DC.subjectlocal porous distributionen_US
DC.subjectentropyen_US
DC.subjectmaximum entropy methoden_US
DC.subjectmetal powder injection moldingen_US
DC.subjectporousen_US
DC.title利用最大熵方法決定粉末射出成型生胚 之最適宜局部空孔度分布zh_TW
dc.language.isozh-TWzh-TW
DC.titleThe determination of the most appropriate local porosity distribution of green compact in MIM by utilizing the maximum entropy mothod en_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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