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Experimental validation and prototyping of optimum designs obtained from topology optimization

dc.contributor.authorWang, H.en_US
dc.contributor.authorRaju, B.en_US
dc.contributor.authorPierre, Christopheen_US
dc.contributor.authorKikuchi, Noboruen_US
dc.contributor.authorMa, Zheng-Dongen_US
dc.date.accessioned2006-09-11T16:32:55Z
dc.date.available2006-09-11T16:32:55Z
dc.date.issued2006-01-19en_US
dc.identifier.citationMa, Z.-D.; Wang, H.; Kikuchi, N.; Pierre, C.; Raju, B.; (2006). "Experimental validation and prototyping of optimum designs obtained from topology optimization." Structural and Multidisciplinary Optimization (): -. <http://hdl.handle.net/2027.42/45854>en_US
dc.identifier.issn1615-1488en_US
dc.identifier.issn1615-147Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45854
dc.description.abstractThis paper provides, through both numerical analyses and physical tests, a validation of the optimality of structural designs obtained from a topology optimization process. Issues related to the manufacturability of the topology-optimized design are first addressed in order to develop structural specimens suitable for experimental validation. Multidomain and multistep topology optimization techniques are introduced that, by embedding the designer’s intuition and experience into the design process, allow for the simplification of the design layout and thus for a better manufacturability of the design. A boundary identification method is also proposed that is applied to produce a smooth boundary for the design. An STL (STereo Lithography) file is then generated and used as input to a rapid prototyping machine, and physical specimens are fabricated for the experiments. Finally, the experimental measurements are compared with the theoretical and numerical predictions. Results agree extremely well for the example problems considered, and thus the optimum designs pass both virtual and physical tests. It is also shown that the optimum design obtained from topology optimization can be independent of the material used and the dimensions assumed for the structural design problem. This important feature extends the applicability of a single optimum design to a range of different designs of various sizes, and it simplifies the prototyping and experimental validation since small, inexpensive prototypes can be utilized. This could result in significant cost savings when carrying out proof-of-concept in the product development process.en_US
dc.format.extent716649 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlagen_US
dc.subject.otherOptimal Designen_US
dc.subject.otherCivil Engineeringen_US
dc.subject.otherTopology Optimizationen_US
dc.subject.otherNumerical and Computational Methods in Engineeringen_US
dc.subject.otherEngineeringen_US
dc.subject.otherTheoretical and Applied Mechanicsen_US
dc.subject.otherComputer-Aided Engineering (CAD, CAE) and Designen_US
dc.subject.otherExperimental Validationen_US
dc.subject.otherStructural Dynamicsen_US
dc.subject.otherNoise and Vibrationen_US
dc.titleExperimental validation and prototyping of optimum designs obtained from topology optimizationen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelCivil and Environmental Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, University of Michigan, 2250 G. G. Brown Bldg., Ann Arbor, MI, 48109-2125, USAen_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, University of Michigan, 2250 G. G. Brown Bldg., Ann Arbor, MI, 48109-2125, USAen_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, University of Michigan, 2250 G. G. Brown Bldg., Ann Arbor, MI, 48109-2125, USAen_US
dc.contributor.affiliationotherMKP Structural Design Associates, Inc., 3003 Washtenaw Ave, Ann Arbor, MI, 48104-5107, USAen_US
dc.contributor.affiliationotherU.S. Army Tank-Automotive and Armaments Command, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45854/1/158_2005_Article_530.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s00158-005-0530-4en_US
dc.identifier.sourceStructural and Multidisciplinary Optimizationen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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