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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 工程科學及海洋工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70616
完整後設資料紀錄
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dc.contributor.advisor趙修武(Shiu-Wu Chau)
dc.contributor.authorPo-Cheng Chenen
dc.contributor.author陳柏丞zh_TW
dc.date.accessioned2021-06-17T04:32:42Z-
dc.date.available2025-08-27
dc.date.copyright2020-08-28
dc.date.issued2020
dc.date.submitted2020-08-27
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[13] T. Kajiwara, Y. Nagashima, Y. Nakano, and K. Funatsu, 'Numerical study of twin-screw extruders by three-dimensional flow analysis—development of analysis technique and evaluation of mixing performance for full flight screws,' Polymer Engineering Science, vol. 36, no. 16, pp. 2142-2152, 1996.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/70616-
dc.description.abstract本研究以數值方式模擬六組雙螺桿(Type1、Type2、Type3、Type4、Type5、Type6)在轉速300 RPM、流量10kg/hr以及工作溫度200℃條件下的纖維混練流場。首先根據雙螺桿組態生成旋轉周期內各角度的流場網格,並在等溫流場與不可壓縮流的假設下,求解三維暫態連續方程式、動量方程式,以獲得雙螺桿流場特性。接著根據流場的模擬結果,以四階Runge-Kutta方法預測虛擬粒子在套筒內部的移動路徑,並計算出暫留時間與混合效率,分析雙螺桿混練的分散與分佈特性。最後使用纖維排向張量方程組,預測纖維於流場流動的排向行為,並分析纖維於不同纖維交互作用係數下對於纖維排向之影響。本研究以上述方法模擬六組螺桿組態之混練製程。計算結果顯示,Type2、Type5、Type6有較高的平均暫留時間,具有較好的分配性; Type5與Type6有較高的平均剪應力,具有較佳的分散性; Type2、Type3、Type6有較高的平均剪切率型態因子,具有較好的分配性; Type1、Type5、Type6有較高的平均Manas-Zloczower混合因子,表示流場更接近於拉伸流動。綜合上述結果,Type6螺桿組態為最佳之組態設計。此外,纖維交互作用係數越小對於纖維於螺桿出口的排向率越佳,纖維的排向角亦更趨近垂直於套筒表面。計算結果顯示當纖維交互作用係數為0.001時,6組螺桿的排向率皆接近95%。zh_TW
dc.description.abstractIn this thesis, a numerical approach is employed to study the fiber-compounding process of a twin-screw extruder under the working conditions of 300 RPM, 10 kg/hr, and 200℃. Based on the screw element configuration, the numerical grid for each specified angle within a rotational period is generated. An unsteady three-dimensional model is applied to solve the continuity and momentum equations under the assumption of isothermal and incompressible flow. The particle movement in the barrel is then predicted via a fourth-order Runge-Kutta method according to the calculated flow field and the mixing efficiency is forecasted to evaluate the dispersion and distribution characteristics. Finally, the behavior of fiber orientation in the compounding process is predicted using the equation of orientation tensor, while the influence of the fiber interaction coefficient on fiber orientation is also investigated. Six different twin-screw configurations (Type1-6) are employed in modeling the extrusion process for fiber compounding. Numerical predictions indicate that screw configuration Types 2, 5, and 6 have a high average residence time and exhibit better distributive mixing. The high average shear stress of Types 5 and 6 indicates better dispersion in mixing. Types 2, 3, and 6 with a high mean strain-rate-type identifier deliver better distributive mixing, while the Manas-Zloczower mixing index of Types 1, 5, and 6 indicates improved mixing behavior. Based on these results, twin-screw configuration Type6 is identified as the optimal design. In addition, the smaller the fiber interaction coefficient, the higher the degree of fiber orientation in the outlet plane, accompanied by the fiber orientation angle more perpendicular to the barrel surface. The calculation results show that the degree of fiber orientation reaches approximately 95% when the fiber-interaction coefficient is 0.001.en
dc.description.provenanceMade available in DSpace on 2021-06-17T04:32:42Z (GMT). No. of bitstreams: 1
U0001-2708202014295800.pdf: 13949085 bytes, checksum: 822ab26cb448d38e2eed8508c9ab2f32 (MD5)
Previous issue date: 2020
en
dc.description.tableofcontentsAbstract i
摘要 ii
Nomenclature v
List of Figures viii
List of Tables xiii
Chapter 1 Introduction 1
1-1 Overview 1
1-2 Literature Review 3
Chapter 2 Geometry 7
2-1 Geometrical Parameters 7
Chapter 3 Mathematical Model 13
3-1 Numerical Framework 13
3-2 Flow Simulation 14
3-2-1 Assumptions 14
3-2-2 Governing Equations 15
3-2-3 Numerical Method 16
3-2-4 Material Properties 17
3-2-5 Meshing 19
3-2-6 Boundary Conditions 26
3-3 Particle Tracing 28
3-3-1 Tracer Equations 28
3-3-2 Boundary Conditions 29
3-3-3 Mixing Indices 31
3-4 Fiber Orientation 33
3-4-1 Assumptions 33
3-4-2 Fiber Orientation Equation 34
3-4-3 Numerical Approach 37
3-4-4 Fiber Orientation Verification 38
Chapter 4 Numerical Results 40
4-1 Case Description 40
4-2 Flow Characteristics 41
4-3 Average Physical Quantities along the Flow Direction 61
4-4 Volume Fraction Distribution of the Physical Quantities 67
4-5 Probability Distribution 77
4-6 Fiber Orientation in the Flow Field 86
Chapter 5 Conclusions 102
References 104
dc.language.isoen
dc.subject混合效率zh_TW
dc.subject分散性zh_TW
dc.subject分配性zh_TW
dc.subject纖維排向zh_TW
dc.subject纖維交互作用係數zh_TW
dc.subjectFiber Interaction Coefficienten
dc.subjectDispersionen
dc.subjectMixing Efficiencyen
dc.subjectDistributionen
dc.subjectFiber Orientationen
dc.title同向雙螺桿擠出纖維排向預測zh_TW
dc.titleFiber Orientation Prediction in Co-Rotating Twin Screw Extrusionen
dc.typeThesis
dc.date.schoolyear108-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳文章(Wen-Chang Chen),陳夏宗(Shia-Chung Chen),芮祥鵬(Syang-Peng Rwei),羅弘岳(Hong-Yueh Lo),吳晉安(Jin-An Wu)
dc.subject.keyword混合效率,分散性,分配性,纖維排向,纖維交互作用係數,zh_TW
dc.subject.keywordMixing Efficiency,Dispersion,Distribution,Fiber Orientation,Fiber Interaction Coefficient,en
dc.relation.page106
dc.identifier.doi10.6342/NTU202004180
dc.rights.note有償授權
dc.date.accepted2020-08-28
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept工程科學及海洋工程學研究所zh_TW
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