水中流度微粒抓取實驗設計與分析

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姓名

王紹庭(Shao-Ting Wang) 查詢紙本館藏

畢業系所

機械工程學系

論文名稱

水中流度微粒抓取實驗設計與分析

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至系統瀏覽論文 ( 永不開放)

摘要(中)

本研究成功讓流動中的微粒被聲波抓取，且利用調變波技術判斷此微粒之種類。透過COMSOL模擬出顆粒在管中流動、水中聲輻射壓力，以及調變波之動態分析的情況，進而模擬出各個對於實驗有影響的參數。然而聲波對於不同情況會有不同的實驗方法，為此我們設計了一系列不同的實驗情況，對於不同粒徑的微粒所表現出來的抓取情況也會有所不同，對於不同密度的微粒也可以透過調整調變波的參數，成功抓取出特定微粒，也判斷出不同密度的顆粒差異。而目前實驗階段，可以在混合的微粒溶液的情況下，分離出半波長大小的塑膠微粒。

摘要(英)

This study successfully utilized acoustic waves to trap particles in flow and employed modulation wave techniques to determine the types of these particles. Using COMSOL, we simulated the flow of particles in a tube, the acoustic radiation force in water, and the dynamic analysis of modulation waves, thereby simulating various parameters that could affect the experiment. However, different experimental methods are required for different situations. To address this, we designed a series of experiments. The trapping performance varies for particles of different sizes, and the parameters of the modulation waves can be adjusted for particles of different densities. Ultimately, we successfully trapped specific particles under different conditions and verified the use of modulation waves to distinguish between particles of different densities. At the current experimental stage, we are able to separate plastic particles of half-wavelength size from a mixed particle solution.

關鍵字(中)

★ 聲波
★ 微粒
★ 聲輻射壓力

關鍵字(英)

★ sound waves
★ particles
★ acoustic radiation pressure

論文目次

摘要 I
致謝 IV
ABSTRACT IV
目錄 IV
圖目錄 VII
表目錄 VII
第一章緒論 1
1.1 前言 1
1.2 研究目的 1
1.3 文獻回顧 1
第二章基礎理論 8
2.1 駐波理論 8
2.2 流體運動方程式 10
2.2.1 連續方程式 10
2.2.2 動量方程式 111
2.2.3 流體狀態方程式 12
2.3 線性波動方程式 12
2.4 聲輻射壓力 14
2.4.1聲場的駐波理論 15
2.4.2平面駐波場中剛性小球體的聲輻射力 16
2.5 斯托克斯黏滯阻力 17
2.5 雷諾數 18
2.7 粒子-超聲波相互作用 19
2.7.1固有吸收 19
2.7.2黏慣性耗散損失 19
2.7.3熱耗散損失 20
2.7.4散射損失 20
第三章實驗架設與設計 21
3.1 實驗方法及概述 21
3.2 實驗架構與材料 22
3.2.1 實驗裝置與系統組成 22
3.2.2 實驗重點設備與材料 23
3.3 PZT理論 28
3.4 聲阻抗匹配理論 31
3.5 聲流產生機制 34
3.6 調變波之參數設定 36
3.7實驗模擬與設計 37
3.7.1 駐波場模擬分析 38
3.7.2 調變波模擬分析 44
3.7.3 模擬討論與實驗設計 51
第4章實驗結果與討論 51
4.1 實驗結果 55
4.1.1 抓取特定尺寸的微粒 55
4.1.2 量測微粒溶液濃度並判斷種類 59
4.2 實驗討論彙整 64
第五章結論與未來展望 65
5.1 結論 65
5.2 未來展望 66
參考文獻 67

參考文獻

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指導教授

陳世叡(Shih-Jui Chen)

審核日期

2024-8-15

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