發(fā)布時間：2018-05-15 09:02

  本文選題：離心壓縮機(jī) + 動力學(xué)模型　； 參考：《東北大學(xué)》2012年碩士論文

【摘要】：離心式壓縮機(jī)能夠滿足工業(yè)上對氣體壓縮的需求,隨著工業(yè)發(fā)展的繼續(xù),其應(yīng)用范圍越來越廣泛。然而長期以來,離心式壓縮機(jī)始終存在著一些不可避免的缺點,如整機(jī)的效率不高,穩(wěn)定工況較窄和隨著工況的變化往往會發(fā)生喘振等現(xiàn)象。因此,分析和了解壓縮機(jī)內(nèi)部能量傳遞情況,詳細(xì)探討并建立用于實際生產(chǎn)的離心式壓縮機(jī)模型是十分必要的。 本文以某大型煤氣系統(tǒng)中離心壓縮機(jī)為研究對象,基于Greitzer壓縮機(jī)理論模型,結(jié)合設(shè)備工藝參數(shù)和過程運(yùn)行數(shù)據(jù),建立了實際過程中的壓縮機(jī)模型,在對模型參數(shù)進(jìn)行靈敏度分析的基礎(chǔ)上,提出了模型參數(shù)辨識和模型校正策略。 在利用實際模型進(jìn)行問題分析時,模型中包含有很多參數(shù)和變量,其中某些參數(shù)和變量的微小變化可能對模型產(chǎn)生巨大影響,而另一些參數(shù)或變量的變化可能影響很小或幾乎無影響。通過引入?yún)?shù)靈敏度分析方法,分析出對模型影響較大的關(guān)鍵參數(shù)。利用參數(shù)靈敏度分析的結(jié)果,文中又進(jìn)一步進(jìn)行了兩部分的探討：基于靈敏度分析的參數(shù)辨識和基于靈敏度分析的模型校正策略。在基于靈敏度分析的參數(shù)辨識部分,分析了辨識的必要性,在保證模型精度的前提下,進(jìn)一步提高了辨識效率,且參數(shù)辨識后的模型精度明顯改善很多�；陟`敏度分析的模型校正是靈敏度分析的進(jìn)一步延伸,包含短期校正策略和長期校正策略。由于長期校正需要大量的過程數(shù)據(jù)和較長的時間,這里主要考慮了短期校正。在短期校正中,包含模型偏差校正和模型中非幾何參數(shù)的修正兩部分,利用模型偏差和參數(shù)靈敏度大小進(jìn)行校正,能夠有效的解決模型短暫的精度達(dá)不到要求的問題。 本文的研究工作在一定程度上為提高離心式壓縮機(jī)應(yīng)用模型的精度提供了一些建設(shè)性意見。只有在保證模型精度的前提下,才能相對準(zhǔn)確地描述出整個壓縮系統(tǒng)的喘振曲線,最終為解決喘振問題提供一些參考。
[Abstract]:Centrifugal compressor can meet the demand of gas compression in industry. With the development of industry, its application is more and more extensive. However, for a long time, the centrifugal compressor always has some inevitable shortcomings, such as the efficiency of the whole machine is not high, the stable condition is narrow and the surge often occurs with the change of the working conditions. Therefore, it is necessary to analyze and understand the internal energy transfer of the compressor, and to discuss and establish the centrifugal compressor model for practical production. In this paper, the centrifugal compressor in a large gas system is taken as the research object. Based on the theoretical model of Greitzer compressor, combined with the process parameters and operation data of the equipment, the compressor model in the actual process is established. Based on the sensitivity analysis of model parameters, a model parameter identification and model correction strategy is proposed. When using the actual model to analyze the problem, the model contains a lot of parameters and variables, some of which may have a great impact on the model. Changes in other parameters or variables may have little or no effect. By introducing the method of parameter sensitivity analysis, the key parameters which have a great influence on the model are analyzed. Based on the results of parameter sensitivity analysis, two parts are further discussed in this paper: parameter identification based on sensitivity analysis and model correction strategy based on sensitivity analysis. In the part of parameter identification based on sensitivity analysis, the necessity of identification is analyzed. On the premise of ensuring model precision, the identification efficiency is further improved, and the model precision after parameter identification is obviously improved. Model correction based on sensitivity analysis is a further extension of sensitivity analysis, which includes short-term correction strategy and long-term correction strategy. Because long-term correction requires a lot of process data and a long time, short-term correction is considered. In the short-term correction, there are two parts: model deviation correction and model non-geometric parameter correction. The model deviation and parameter sensitivity are used to correct the model, which can effectively solve the problem that the short-term accuracy of the model can not meet the requirements. The research work in this paper provides some constructive suggestions for improving the precision of centrifugal compressor application model to some extent. Only when the precision of the model is guaranteed, the surge curve of the whole compression system can be described relatively accurately, and finally some references can be provided for solving the surge problem.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TH452

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王強(qiáng);;混合氣體熱力性質(zhì)的計算方法[J];東方電氣評論;2008年02期

2 孫濤;王毅;王曉放;謝蓉;馬震岳;;變厚度葉片對離心壓縮機(jī)結(jié)構(gòu)強(qiáng)度和性能影響[J];大連理工大學(xué)學(xué)報;2012年01期

3 戴金龍;離心式壓縮機(jī)的調(diào)節(jié)控制系統(tǒng)[J];風(fēng)機(jī)技術(shù);2002年06期

4 龐海英;李爽;張吉禮;;基于正交試驗的離心壓縮機(jī)葉輪摩擦損失優(yōu)化分析[J];風(fēng)機(jī)技術(shù);2008年05期

5 樊會元,席光,王尚錦;基于遺傳算法的離心壓縮機(jī)葉柵多點優(yōu)化設(shè)計[J];工程熱物理學(xué)報;2000年02期

6 聞蘇平;胡小文;張勇;王軍;李廷賓;;離心壓縮機(jī)彎道最佳r/b值研究[J];工程熱物理學(xué)報;2008年02期

7 吳東坡;劉長勝;;離心壓縮機(jī)級半開式葉輪采用無葉和串列擴(kuò)壓器的性能分析[J];風(fēng)機(jī)技術(shù);2009年03期

8 王企鯤;陳康民;戴韌;;多級離心壓縮機(jī)級間靜止部件氣動特性與旋渦結(jié)構(gòu)的數(shù)值研究[J];上海理工大學(xué)學(xué)報;2006年02期

9 魏凱豐;姚傳榮;呂克橋;;天然氣氣體粘度和雷諾數(shù)計算[J];哈爾濱理工大學(xué)學(xué)報;2006年03期

10 焦景彥;ITCC透平-壓縮機(jī)控制系統(tǒng)防喘振控制的探討[J];煉油與化工;2004年04期

相關(guān)博士學(xué)位論文 前1條

1 王傳鑫;離心壓縮機(jī)綜合控制方法研究[D];大連理工大學(xué);2010年

，

本文編號：1891818