本文選題：機(jī)械攪拌槽 + 數(shù)值模擬��； 參考：《廣西大學(xué)》2017年碩士論文

【摘要】：隨著工業(yè)的不斷發(fā)展和進(jìn)步,機(jī)械攪拌槽在工業(yè)的諸多領(lǐng)域得到了廣泛應(yīng)用,特別是在化工、食品、冶金、造紙、和污水處理等領(lǐng)域,是應(yīng)用最廣泛的化工設(shè)備之一。機(jī)械攪拌槽按不同工業(yè)要求常用于介質(zhì)混合溶解、制備懸浮液、促進(jìn)傳質(zhì)、強(qiáng)化傳熱等操作,具有制作方便、操作簡(jiǎn)單、適應(yīng)性強(qiáng)等優(yōu)點(diǎn)。但目前機(jī)械攪拌槽設(shè)計(jì)與制作大多依靠于經(jīng)驗(yàn),對(duì)攪拌槽設(shè)計(jì)參數(shù)、攪拌規(guī)律等認(rèn)識(shí)不足,缺乏對(duì)攪拌過(guò)程的直觀了解,無(wú)法保證和滿足不同的工業(yè)要求。隨著計(jì)算機(jī)流體力學(xué)(CFD)相關(guān)軟件的發(fā)展,對(duì)攪拌過(guò)程進(jìn)行數(shù)值模擬成為了現(xiàn)實(shí),利用CFD軟件對(duì)攪拌槽的攪拌過(guò)程進(jìn)行模擬,可直觀認(rèn)識(shí)攪拌過(guò)程中攪拌效果,可大大縮短攪拌槽的設(shè)計(jì)成本,對(duì)攪拌槽參數(shù)的設(shè)計(jì)具有一定促進(jìn)作用。本文利用CFD軟件對(duì)方形攪拌槽、圓形攪拌槽進(jìn)行數(shù)值模擬,利用RNG k-ε湍流模型、組分輸運(yùn)模型、滑移網(wǎng)格模型對(duì)攪拌槽進(jìn)行瞬態(tài)數(shù)值模擬。對(duì)攪拌槽的槳葉角度、槳葉離底高度、槳葉寬度、槳葉直徑、加藥點(diǎn)等參數(shù)分別進(jìn)行單因素模擬,并根據(jù)單因素分析結(jié)果進(jìn)行5因素4水平正交數(shù)值模擬分析,根據(jù)混合時(shí)間、攪拌功率以及單位體積混合能綜合評(píng)判攪拌槽混合效果,并對(duì)不同攪拌槽的結(jié)構(gòu)參數(shù)提出合理化建議。對(duì)攪拌槽的最優(yōu)參數(shù)組合進(jìn)行單向耦合靜力學(xué)分析,結(jié)果顯示槳葉受到的最大應(yīng)力遠(yuǎn)小于材料的許用應(yīng)力值,可確保最優(yōu)組合槳葉的正常運(yùn)轉(zhuǎn)。分別對(duì)圓形攪拌槽、方形攪拌槽中的槳葉角度、槳葉離底高度、轉(zhuǎn)速因素進(jìn)行實(shí)驗(yàn)分析,獲取監(jiān)測(cè)點(diǎn)的示蹤劑濃度,并與仿真實(shí)驗(yàn)中同一位置監(jiān)測(cè)點(diǎn)的濃度數(shù)據(jù)進(jìn)行對(duì)比。實(shí)驗(yàn)是利用電導(dǎo)率傳感器測(cè)量電導(dǎo)率值,經(jīng)公式轉(zhuǎn)換為溶液濃度值,通過(guò)曲線相關(guān)系數(shù)、混合時(shí)間、溶液最終濃度等參數(shù)與仿真實(shí)驗(yàn)獲取的數(shù)據(jù)綜合比較。結(jié)果顯示:實(shí)驗(yàn)數(shù)據(jù)與仿真數(shù)據(jù)的曲線相關(guān)系數(shù)較高,整體趨勢(shì)基本吻合;混合時(shí)間、溶液最終濃度均相差不大。
[Abstract]:With the continuous development and progress of industry, mechanical agitator has been widely used in many fields of industry, especially in chemical, food, metallurgy, papermaking, sewage treatment and other fields, is one of the most widely used chemical equipment. Mechanical agitator is often used in medium mixing dissolution, preparation of suspension, mass transfer, heat transfer and other operations according to different industrial requirements. It has the advantages of convenient manufacture, simple operation, strong adaptability and so on. However, at present, the design and manufacture of mechanical agitator mostly depend on experience, lack of understanding of the design parameters and rules of mixing tank, lack of intuitive understanding of the mixing process, and can not guarantee and meet different industrial requirements. With the development of computer fluid dynamics (CFD) software, the numerical simulation of mixing process has become a reality. Using CFD software to simulate the mixing process of stirred tank, can intuitively understand the mixing effect in mixing process. It can greatly shorten the design cost of agitator and promote the design of agitator parameters. In this paper, CFD software is used to simulate the square and circular stirred cells, and RNG k- 蔚 turbulence model, component transport model and sliding grid model are used to simulate the transient numerical simulation of the stirred tank. The parameters such as blade angle, blade height, blade width, blade diameter and charge point were simulated by single factor simulation, and 5 factors and 4 horizontal orthogonal numerical simulation were carried out according to the results of single factor analysis, according to mixing time, Mixing power and unit volume mixing can comprehensively evaluate the mixing effect of mixing tank and give some reasonable suggestions on the structural parameters of different mixing tanks. The unidirectional coupling statics analysis of the optimal parameter combination of the stirred tank shows that the maximum stress of the blade is much less than the allowable stress of the material, which can ensure the normal operation of the optimal combination blade. The factors of blade angle, blade height and rotational speed in circular stirred tank and square stirred tank are analyzed experimentally, the tracer concentration of monitoring point is obtained, and the concentration data of monitoring point at the same position in simulation experiment are compared. The experiment uses the conductivity sensor to measure the conductivity value, which is converted into the solution concentration value by the formula. The parameters such as curve correlation coefficient, mixing time, solution final concentration and so on are compared with the data obtained from the simulation experiment. The results show that the curve correlation coefficient between the experimental data and the simulation data is high, and the overall trend is basically consistent, and the mixing time and the final concentration of the solution are not different.
【學(xué)位授予單位】：廣西大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TQ051.72

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