2026-09-20T04:58:01Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/356812022-01-13T07:54:11Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Olivier L. de Weck.
Graff, Christopher Dominic
Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
2007-01-10T17:01:45Z
2007-01-10T17:01:45Z
2006
2006
http://hdl.handle.net/1721.1/35681
76838869
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006.
Includes bibliographical references (p. 152-155).
Developing 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.
(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.
by Christopher Dominic Graff.
S.M.
230 p.
11711585 bytes
11721301 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.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.
http://dspace.mit.edu/handle/1721.1/7582
Aeronautics and Astronautics.
System modeling, analysis, and optimization methodology for diesel exhaust after-treatment technologies
Diesel exhaust after-treatment technologies
Thesis
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Publication
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<Abstract>Developing 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.</Abstract>
<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.</Abstract>
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