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dc.contributor.author廖木生en_US
dc.contributor.authorMu sheng Liaoen_US
dc.contributor.author林家瑞en_US
dc.contributor.authorChia-shui Linen_US
dc.date.accessioned2014-12-12T02:33:53Z-
dc.date.available2014-12-12T02:33:53Z-
dc.date.issued2004en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT009214602en_US
dc.identifier.urihttp://hdl.handle.net/11536/72002-
dc.description.abstract電漿技術在半導體製程中廣泛被應用,例如乾蝕刻、薄膜沈積、去光阻等等都與電漿技術相關。隨著半導體工業的技術的進步積體電路的尺寸越做越小,所以蝕刻製程是否能精準完成微影中預定圖案轉移,為一個重要的製程。本論文中在Lam TCP 9400SE機台內使用氯氣來進行多晶矽蝕刻(Poly silicon),利用田口式實驗法建立電漿蝕刻機制的實驗模型,研究其蝕刻率、均勻度、電子密度、電子碰撞頻率與電漿蝕刻設備參數的關係。電漿蝕刻設備參數有電漿功率、偏壓功率、腔體壓力、氣體流量等等。在實驗模型基礎上,利用類神經控制器與鑑別器來做蝕刻率控制的模擬並評估其效果。zh_TW
dc.description.abstractPlasma technology is widely used in the semiconductor processing, such as dry etching、thin film deposition、PR stripper etc. By technology evolution of the semiconductor industry, the size of the integrated circuit becomes smaller and smaller. It is important that the plasma etch process can transfer circuit pattern accurately to the wafer after photolithography. In this study, we use chlorine to etch poly silicon in Lam TCP 9400SE. We use Taguchi method to establish model of plasma etching mechanism to find relationship between etching rate、uniformity、electron density、electron collision rate and parameter of plasma etching equipment which includes source power、bias power、chamber pressure、gas flow etc. Based on the empirical model, neural network controller and identifier are used to control etching rate. The performance of controller will be evaluated and discussed based on simulation results.en_US
dc.language.isozh_TWen_US
dc.subject電漿zh_TW
dc.subject變壓耦合式電漿源zh_TW
dc.subject田口式方法zh_TW
dc.subject類神經控制器zh_TW
dc.subject類神經鑑別器zh_TW
dc.subjectPlasmaen_US
dc.subjectTCPen_US
dc.subjectTaguchi methoden_US
dc.subjectNeural Network Controller and identifieren_US
dc.subjectNeural Network Identifieren_US
dc.title變壓耦合式電漿製程設備之蝕刻率批片控制zh_TW
dc.titleWafer to wafer control of etching rate in Transformer Coupled Plasma Processing Equipmenten_US
dc.typeThesisen_US
dc.contributor.department機械工程學系zh_TW
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