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dc.contributor.advisorOlivier L. de Weck.en_US
dc.contributor.authorGraff, Christopher Dominicen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.en_US
dc.date.accessioned2007-01-10T17:01:45Z
dc.date.available2007-01-10T17:01:45Z
dc.date.copyright2006en_US
dc.date.issued2006en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/35681
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006.en_US
dc.descriptionIncludes bibliographical references (p. 152-155).en_US
dc.description.abstractDeveloping new aftertreatment technologies to meet emission regulations for diesel engines is a growing problem for many automotive companies and suppliers. Balancing manufacturing cost, meeting emission performance, developing competitive engine power, reducing weight and operational costs are all tradeoffs that companies and operators have to resolve for new aftertreatment technologies. However, no single technology has been able to address the wide range of performance and cost objectives in this field. The traditional design philosophy of developing components, optimizing them for particular operation states, and then adding them together into a system may not yield the best solution to this complex problem. Manufacturers may not be able to offer the best balance of performance and cost developing systems in this manner. Two useful product development tools that can address this issue is Systems Architecture and multidisciplinary design optimization (MDO). This thesis develops and exercises a framework for modeling, designing, analyzing, and optimizing of complex diesel exhaust after-treatment systems.en_US
dc.description.abstract(cont.) The methodology presented addresses the issue of complexity of systems and their components, and how to use systems architecture to develop a modeling technique that allows for flexibility in design, coding and analysis. The framework also addresses the analysis of exhaust system models, and utilizes multidisciplinary system design optimization to improve the design of exhaust systems. It also shows how using a system design and optimization methodology can yield better system designs than the more traditional design and development method that addresses only one technological component at a time. Two case studies are presented to validate the framework and methodology, and a set of design solutions for each case are found. A modeling and simulation tool was also developed for this thesis, and presented. The valuable information gleaned from this analysis can assist engineers and designers in identifying design directions and developing complete diesel emissions treatment solutions.en_US
dc.description.statementofresponsibilityby Christopher Dominic Graff.en_US
dc.format.extent230 p.en_US
dc.format.extent11711585 bytes
dc.format.extent11721301 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectAeronautics and Astronautics.en_US
dc.titleSystem modeling, analysis, and optimization methodology for diesel exhaust after-treatment technologiesen_US
dc.title.alternativeDiesel exhaust after-treatment technologiesen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.identifier.oclc76838869en_US


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