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Generalized Synthesis Methodology of Nonlinear Springs for Prescribed Load-Displacement Functions.

dc.contributor.authorJutte, Christine Veharen_US
dc.date.accessioned2008-05-08T18:59:12Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2008-05-08T18:59:12Z
dc.date.issued2008en_US
dc.date.submitteden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/58395
dc.description.abstractCompliant mechanisms are monolithic devices that transfer force and motion by exploiting the elasticity of their members. Nonlinear springs are a class of compliant mechanisms that have a defined nonlinear load-displacement function measured at one point on the mechanism. Various applications benefit from nonlinear springs, including medical devices, MEMS, and commercial products designed for user comfort. Since each nonlinear spring application requires a unique load-displacement function, spring configurations must be custom designed. Research in compliant mechanism synthesis has yet to address a generalized method for designing nonlinear springs. This dissertation presents a generalized nonlinear spring synthesis methodology that (i) generates a planar spring design for any prescribed nonlinear load-displacement function, (ii) synthesizes designs having distributed compliance, and (iii) employs a design parameterization conducive to geometric nonlinearities. Key features of the design parameterization include (i) a branching network of compliant beams used for topology synthesis, (ii) curved beams without sudden changes in cross-section, and (iii) boundary conditions that impose both axial and bending loads on the compliant members and enable large rotations while minimizing bending stresses. To generate nonlinear spring designs, the design parameterization is implemented into a genetic algorithm, where potential spring designs are generated and optimized. Each spring design is analyzed by nonlinear finite element analysis and then evaluated by the objective function for its nonlinear response. To improve optimization performance, the objective function is formulated to exploit scaling rules. Four spring examples each having a unique load-displacement function (J-curve, S-curve, constant-force, and linear), demonstrate the methodology’s effectiveness. Two fabricated designs validate the springs’ nonlinear responses, while demonstrating the applicability of nonlinear springs. The synthesis methodology also works for anisotropic spring designs and has been extended to design compliant mechanisms having prescribed velocity profiles at their output. Other developments include scaling rules for springs, guidelines for arranging nonlinear springs in series and parallel, and physical interpretations of springs’ responses. Results indicate that nonlinear load-displacement responses are generated by altering a spring’s axial stiffness while it deforms. This change in axial stiffness is possible by exploiting geometric nonlinearities and boundary conditions.en_US
dc.format.extent7497462 bytes
dc.format.extent1373 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_USen_US
dc.subjectNonlinear Springen_US
dc.subjectCompliant Mechanismen_US
dc.subjectNonlinear Stiffnessen_US
dc.subjectGeometric Nonlinearityen_US
dc.subjectSpring Designen_US
dc.subjectStructural Optimizationen_US
dc.titleGeneralized Synthesis Methodology of Nonlinear Springs for Prescribed Load-Displacement Functions.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineMechanical Engineeringen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberKota, Sridharen_US
dc.contributor.committeememberDutta, Debasishen_US
dc.contributor.committeememberHollister, Scott J.en_US
dc.contributor.committeememberHulbert, Gregory M.en_US
dc.subject.hlbsecondlevelMechanical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/58395/1/cvehar_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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