| 研究生: |
郭耀仁 Kuo, Yao-Jrn |
|---|---|
| 論文名稱: |
新型介電泳細胞分類晶片之數值模擬與最佳化設計 Numerical Simulation and Optimal Design on New Type Dielectrophoretic-based Cytosorters |
| 指導教授: |
呂宗行
Leu, Tzong-Shyng |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 航空太空工程學系 Department of Aeronautics & Astronautics |
| 論文出版年: | 2006 |
| 畢業學年度: | 94 |
| 語文別: | 中文 |
| 論文頁數: | 95 |
| 中文關鍵詞: | 介電泳 、介電泳力 、微管道流場 、細胞分類 、最佳化 |
| 外文關鍵詞: | DOE, optimal, design of experiments, RSM, response surface, cytosorter, dielectrophoresis, DEP |
| 相關次數: | 點閱:91 下載:1 |
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本文旨在設計一新型細胞分類晶片並利用本研究發展標準設計流程;經由理論推導,可得在微流管道中粒子受到介電泳力與流體力影響所產生之偏移量相關參數式如下:
%[方程式]%
經過本文推導及數值模擬驗證之後,可得到以下推論:
Xf區段粒子偏移量與粒徑平方成正比
Xf區段粒子偏移量與Xf長度成正比
Xf區段粒子偏移量與流速成反比
Xf區段粒子偏移量與管道寬度立方成反比
本文更設計多片式下電極陣列作為晶片電極設計並進行模擬驗證,得知在本晶片電極長度限制之下,兩片式下電極設計為偏移量最大之設計。
本文亦採用最佳化方法進行單片式下電極及兩片式下電極陣列的最佳化設計,在此最佳化方法的應用之下,本研究從465個參數樣本降低至50個參數樣本,並得到最佳化參數點與粒子最終偏移量分佈趨勢,得知最佳化方法可在有效降低參數樣本的情況下對粒子最終偏移量進行預測。針對單片式下電極進行最佳化得到最佳化參數點為(Xf,Xb)=(252,259),兩片式下電極陣列所得到之最佳化參數點為(L2,L3)=(181,71)。
在有效最佳化及降低參數樣本等兩個優點之下,本研究之設計流程可發展成為一套有力之設計工具,可提高對於物理及工程的研究效率,在未來更可拓展更大的應用空間。
The study presents new-type cytosorters and using this cytosorter to develop a standard design process. Through theoretical result, the particle deflection induced by Dielectrophoretic and hydrodynamic force in micro-channel is shown as the following equation:
%[Equation]%
After deducing in theoretical and verifying by numerical simulation, the conclusion can be made as follows, the particle deflection in Xf area is:
Being square direct ratio to the particle diameter.
Being direct ratio to the length Xf.
Being inverse ratio to the fluid velocity.
Being cubic inverse ratio to the channel width.
In this study the multi-electrodes matrix cases are designed and verified with numerical simulation, and the design of the matrix with two-electrodes is the best one within this electrode limit in the chip.
Further more, the optimal method is used in the study to design the single-electrode and two-electrodes matrix, and in the application of the optimal method the experiment sampling points can be reduced from 465 to 50. At the same time, the optimal design point and the particle final-deflection tendency can be known, so that one can know that the optimal method can predict the particle final-deflection in the condition that the experiment sampling points are reduced. The optimal design in single-electrode case is (Xf,Xb)=(252,259), and the optimal design in two-electrode case is (L2,L3)=(181,71).
Under the two benefits that optimizing efficaciously and reducing experiment sampling points, the design process in the study can be developed as a powerful design tool; which can improve the study efficiency in physical problems, and can expand to a larger application.
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