Title:
A framework for simulation-based integrated design of multiscale products and design processes

dc.contributor.advisor Mistree, Farrokh
dc.contributor.advisor Paredis, Christiaan J. J.
dc.contributor.author Panchal, Jitesh H. en_US
dc.contributor.committeeMember Allen, Janet K.
dc.contributor.committeeMember Eastman, Chuck
dc.contributor.committeeMember McDowell, David
dc.contributor.committeeMember Rosen, David
dc.contributor.committeeMember Tsui, Kwok
dc.contributor.department Mechanical Engineering en_US
dc.date.accessioned 2006-01-19T21:07:17Z
dc.date.available 2006-01-19T21:07:17Z
dc.date.issued 2005-11-23 en_US
dc.description.abstract The complexity in multiscale systems design is significantly greater than in conventional systems because in addition to interactions between components, couplings between physical phenomena and scales are also important. This complexity amplifies two design challenges: a) complexity of coupled simulation models prohibits design space exploration, and b) unavailability of complete simulation models that capture all the interactions. Hence, the challenge in design of multiscale systems lies in managing this complexity and utilizing the available simulation models and information in an efficient manner to support effective decision-making. In order to address this challenge, our primary hypothesis is that the information and computational resources can be utilized in an efficient manner by designing design-processes (meta-design) along with the products. The primary hypothesis is embodied in this dissertation as a framework for integrated design of products and design processes. The framework consists of three components 1) a Robust Multiscale Design Exploration Method (RMS-DEM), 2) information-economics based metrics and methods for simplification of complex design processes and refinement of simulation models, and 3) an information modeling strategy for implementation of the theoretical framework into a computational environment. The framework is validated using the validation-square approach that consists of theoretical and empirical validation. Empirical validation of the framework is carried out using various examples including: pressure vessel design, datacenter cooling system design, linear cellular alloy design, and multifunctional energetic structural materials design. The contributions from this dissertation are categorized in three research domains: a) multiscale design methodology, b) materials design, and c) computer-based support for collaborative, simulation-based multiscale design. In the domain of design methodology, new methods and metrics are developed for integrating the design of products and design processes. The methods and metrics are applied in the field of materials design to develop design-processes and specifications for Multifunctional Energetic Structural Materials. In the domain of computer-based support for design, an information modeling strategy is developed to provide computational support for meta-design. Although the framework is developed in the context of multiscale systems it is equally applicable to design of any other complex system. en_US
dc.description.degree Ph.D. en_US
dc.format.extent 7621737 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/7635
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Coupling en_US
dc.subject Decision making
dc.subject Designing design processes
dc.subject Information modeling
dc.subject Interval based focalization
dc.subject Meta-design
dc.subject Multiscale design
dc.subject Value of information
dc.subject.lcsh Engineering design Computer simulation en_US
dc.subject.lcsh Information modeling en_US
dc.subject.lcsh Decision making en_US
dc.subject.lcsh Design, Industrial Mathematical models en_US
dc.title A framework for simulation-based integrated design of multiscale products and design processes en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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