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Research On Modeling And Simulation For Deformation Of Dielectric Elastomers Based On Quadratic Orthogonal Regression Method

Posted on:2007-08-03Degree:MasterType:Thesis
Country:ChinaCandidate:J ChenFull Text:PDF
GTID:2121360212458501Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
Dielectric elastomers are a membrane insulated plastic,that is a kind of iron elastomers ,they have characteristics of elasticity, light-weight, high-efficientdrive, high-aseismatic, like anmal's muscle and so on.Because dielectric elastomers can produce a great extent of deformation, when put them into a DC electric field sandwiched between two compliant electrodes.so they have the possibility, to be taken as ideal materials of actuators in MEMS, even as basic materials of artificial muscle.Dielectric elastomers are also one of the best material of the flexible micro drives,which have great potential in the field of medical treatment,bionics machine micro-drives,sensors and so on.At present ,the study of dielectric elastomers only start in our country,so we have deep reseach on them.Based on the selection of the material for the dielectric elastomers and the quantitatively experiments, a mathematical model for simulating the deformation of dielectric elastomers was set up in this paper, which using the quadratic orthogonal regression method in the modeling. A simulation program was developed using Visual Lisp in AutoCAD, it not only validates the conclution of the reseach of the deformation of the dielectric elastomers ,but also proves the feasibility which using that method.The results was quite satisfied.There are many innovations in this paper Studing the stess have effect on the deformation of dielectric elastomers by experiment quantificationally,including reducing Maxwell stress,quicken answering speed,decreasing electricity constant,redusing deformation.These factors only mentioned overseas,we have large numbers to analyse ,it will help apply dielectric elastomers in the future.
Keywords/Search Tags:Micro-mechine, smart material, Dielectric elastomers, Quadratic orthogonal regression method, Visual Lisp language, Simulation
PDF Full Text Request
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