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高雷諾數(shù)三維頂蓋驅(qū)動(dòng)方腔流實(shí)驗(yàn)研究

發(fā)布時(shí)間:2018-05-25 16:58

  本文選題:頂蓋驅(qū)動(dòng)方腔水流 + 實(shí)驗(yàn)研究; 參考:《天津大學(xué)》2014年碩士論文


【摘要】:方腔流作為驗(yàn)證數(shù)值模擬計(jì)算效率和計(jì)算準(zhǔn)確度的標(biāo)準(zhǔn)算例和衡量準(zhǔn)則,受到了各領(lǐng)域?qū)W者的廣泛研究。然而,方腔水流的三維實(shí)驗(yàn)研究由于實(shí)驗(yàn)設(shè)備和可視化技術(shù)的限制,方腔雷諾數(shù)只能達(dá)到1×104,不能滿足數(shù)值模擬技術(shù)的高速發(fā)展。如何為高雷諾數(shù)條件下方腔水流數(shù)值模型提供驗(yàn)證數(shù)據(jù)成為亟待解決的問題。本文對(duì)高雷諾數(shù)頂蓋驅(qū)動(dòng)方腔流進(jìn)行了實(shí)驗(yàn)研究,對(duì)高雷諾數(shù)(1×10~5~1×10~6)方腔內(nèi)部流場(chǎng)進(jìn)行了分析,并根據(jù)實(shí)驗(yàn)數(shù)據(jù)推求得到大渦模擬的Smagorinsky常數(shù)取值。主要研究?jī)?nèi)容和結(jié)論如下:(1)使用粒子圖像測(cè)速技術(shù)(Particle Image Velocimetry,PIV)測(cè)得方腔剖面流場(chǎng)數(shù)據(jù),對(duì)數(shù)據(jù)進(jìn)行分析和處理,得到不同雷諾數(shù)中性面流場(chǎng)、流線和速度剖面。對(duì)方腔水流動(dòng)力特性進(jìn)行分析,結(jié)果表明在雷諾數(shù)為1×10~5到1×10~6之間,流場(chǎng)邊界層的變化仍符合隨著雷諾數(shù)的增大而變薄的趨勢(shì)。(2)分析了下游次級(jí)渦旋(Downstream Secondary Eddy,DSE)和上游次級(jí)渦旋(Upstream Secondary Eddy,USE)隨著雷諾數(shù)的變化情況,對(duì)已有的DSE大小隨雷諾數(shù)的變化曲線進(jìn)行延伸,補(bǔ)充了高雷諾數(shù)條件下DSE和USE大小和雷諾數(shù)的關(guān)系曲線。結(jié)果顯示在雷諾數(shù)為1×10~5到1×10~6范圍內(nèi),隨著雷諾數(shù)的增大,次級(jí)渦旋區(qū)域逐漸縮小,到雷諾數(shù)為1×10~6時(shí)基本消失。(3)根據(jù)量綱分析和大渦PIV求解紊流耗散率的方法公式聯(lián)立,求得大渦模擬Smagorinsky常數(shù)在方腔中的分布。結(jié)果表明Smagorinsky常數(shù)從邊壁到中心處從零開始增大,增大到最大值之后又開始減小,到初級(jí)渦旋的中心附近又減為零。
[Abstract]:Square cavity flow, as a standard example and criterion to verify the efficiency and accuracy of numerical simulation, has been widely studied by scholars in various fields. However, due to the limitation of experimental equipment and visualization technology, the Reynolds number of square cavity can only reach 1 脳 104, which can not meet the rapid development of numerical simulation technology. How to provide validation data for the numerical model of cavity flow under high Reynolds number is an urgent problem to be solved. In this paper, the flow field in a square cavity driven by a high Reynolds number cap is studied experimentally. The flow field in a square cavity with a high Reynolds number of 1 脳 10 ~ (5) / 1 脳 10 ~ (6) is analyzed, and the Smagorinsky constant of large eddy simulation is derived from the experimental data. The main contents and conclusions are as follows: 1) the flow field data of square cavity profile are measured by particle Image velocimetry (PIV). The data are analyzed and processed, and the flow fields, streamlines and velocity profiles on different Reynolds numbers are obtained. The results show that the Reynolds number ranges from 1 脳 10 ~ (5) to 1 脳 10 ~ (6). The variation of the boundary layer of the flow field is still consistent with the trend of thinning with the increase of Reynolds number.) the variation of the downstream secondary vortex Downstream Secondary Eddy DSEs and the upstream secondary vortex Upstream Secondary Eddy USE) with Reynolds number is analyzed. The existing curve of DSE size with Reynolds number is extended to supplement the relation curve between DSE and USE size and Reynolds number under the condition of high Reynolds number. The results show that in the range of 1 脳 10 ~ (5) to 1 脳 10 ~ (6), with the increase of Reynolds number, the secondary vortex region gradually shrinks, and by 1 脳 10 ~ (6) Reynolds number basically disappears. The distribution of Smagorinsky constant in square cavity is obtained by large eddy simulation. The results show that the Smagorinsky constant increases from zero to the center from the side wall to the center, then decreases to the maximum value, and then decreases to zero near the center of the primary vortex.
【學(xué)位授予單位】:天津大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TV131.3

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