基于電導波動信號混沌分析的氣液兩相流流型表征.pdf

1、隨艇墅瑚⑨天串大薯p目近代第M大學碩士學位論文一’■■0_啊■0■N，0■■●0■■■■_學科專業(yè)：檢；剛技術與自動化裝首作者姓名：胡；壹云指導教師：金寧德教授天津大學研究生院2006年1月ABSTRACTThedelaytimeembeddingparameterhasgreateffect011thechaoticattractorreO)nstmctionSO011emustchoose趾appropriateddaytimein

2、thephasespacereconstructionInthispaperfirstlytheLorenzchaoticequationistaken嬲anexampletoproduceanonlineartimeseries，andwediscussedtheapplicabil／tyofdelaytimealgorithmtothepresenceofnoiseatdifferenttimeserieslengthThestud

3、yshowsthattheCCalgofitlunofdelaytimeiss臼ongrobustness，andtheFraseretafsmutualinformationalgorithmandautocorrelationfunctionalgorithmareaffectedbypresenceofnoiseandvariationsoftimesedeslengthandtheLiebertet講smutualinforma

4、tionalgorithm啪notcalculate恤delaytimeBased011theabovestudiesWecharacterizedthegas／liquidtwophaseflowpatternsbasedonthechaoticanalysisofconductancefluctuatingsignalsTher％ultsindicatethatatalowsuperficialwatervelocitythedyn

5、amiccharacterofbubbleandchurnflowsbecomemorecomplexandtheslugflowmoresimplewithincreasingsuperficialgasvelocity；asthesuperficialwatervelocityincreases，theinfluenceofturbulencefluctuationofwaterphaseisstrongerthedynamicch

6、aracterofvariousflowpaRemsgloballybecomemorecomplexandlocallybocameirregularfluctuationItshouldbenoticedthatthefluctuationbecameveryweakwhenthevelocityofwaterincreasebySOmevaluesFinallyweconcludetheboundaryequationofbubb

7、leflowandchurnflowaccordingtothecurvesofchaoticcorrelationdimensionwithsuperfidalgasvelocityvariationsandWefindtheequationswiththehighwaterflowratearethesamewiththeoneswithlowflOwrateKEYWORDS：twophaseflowchaotictimeserie