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ID:36427427
大小:8.81 MB
页数:118页
时间:2019-05-10
《用于激光光束整形的衍射光学元件设计》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、大连理工大学博士学位论文用于激光光束整形的衍射光学元件设计姓名:林勇申请学位级别:博士专业:光学工程指导教师:胡家升20091201用丁.激光光束整形的衍射光学元什设计DesignofdiffractiveopticalelementsforlaserbeamshapingAbstractRecently,lasertechnologyhasbeenwidelyappliedinmanyfields,suchasindustry,agriculture,medicalandhealth,nationaldefen
2、se,andscientificresearch.Itisdifficulttofindafieldwhichisnotconnectedwiththelasertechnology.However,somepropertiesoflaserbeamslimititsfurtherapplication.Forexample,itsintensitydistributionisGaussianprofile,notuniformone.Andpropagationpathishyperbolicline,nots
3、traightline.Inordertoextendtheapplicationfieldandimproveapplicationleveloflasertechnology,itisverynecessarytoshapelaserbeamsformeetingthedemandsofdifferentoccasions.Diffractiveopticalelementshavemanyadvantages,suchassmallsize,lightweight,replicatingeasily,low
4、cost,highdiffractionefficiency,manydesignvariables,widerangeofoptionalmaterials,peculiarchromaticdispersionperformances,andSOon.Thereforetheycanimplementsomenewfunctions,forexamplemicrominiatrue,array,integrationandarbitrarywavetransformation,whicharedifficul
5、tfortraditionalopticalelementstorealize.Diffractiveopticalelementshavewideapplicationprospectinlaserbeamshaping.Designmethodsofdiffractiveopticalelementsforbeamshapingareinvestigatedinthisdissertation,whichmainlyincludetheimprovementofalgorithmsbasedonscalarm
6、odel,thedesignofsub-wavelengthdiffractiveopticalelementsbasedonvectormodel,andthedesignoflensaxiconforsimulatingtheaxiconperformanceanddiffractiveopticalelementsforach!evinglongdepthoffocusandsmallspotbyZEMAX.Themainworkscontainedinthisdissertationareasfollow
7、s:1.TheGSGAhybridalgorithm,theprofile—smoothingalgorithm,andfuzzycontroliterativealgorithmareproposedfordesigningdiffractiveopticalelementsforlaserbeamshapinginthescalardomain.Computer-designedresultsshowthevalidityofthosealgorithms.Especiallyfuzzycontroliter
8、ativealgorithm,applyingthefuzzycontroltheorytodesignDOE,canintellectivelychoosetheoptimizationpathbyfuzzydecision,whichwillenableittoavoidbeingtrappedintolocaloptimumsolution.2.Thedesigno
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