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dc.contributor.advisorRandolph E. Kirchain, Jr.en_US
dc.contributor.authorChen, Emily, S.B. Massachusetts Institute of Technologyen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Materials Science and Engineering.en_US
dc.date.accessioned2008-11-07T18:50:12Z
dc.date.available2008-11-07T18:50:12Z
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/42998
dc.descriptionThesis (S.B.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, February 2008.en_US
dc.description"December 18, 2007."en_US
dc.descriptionIncludes bibliographical references (leaves 47-48).en_US
dc.description.abstractThe benefits of recycling have long been understood and the conspicuous energy savings of secondary aluminum production have caused aluminum recycling to increase. Obsolete aircraft are a valuable source of aluminum scrap and recent efforts to fortify the aerospace aluminum recycling infrastructure have drawn attention to the potential of sophisticated sorting methods to maximize the economic gain of using aerospace scrap in secondary production. The aim of this research was to use linear optimization to assess the economic viability of sorting technologies for enabling wrought products in general and aerospace alloys in particular to be recycled back to high value applications. A chance-constrained model was used to select the alloys that consumed the largest quantity of aerospace alloys in their production, thereby establishing a strategic portfolio of finished goods. Ten of the fifteen alloys in the portfolio were of the 2xxx and 7xxx alloy series that are standard in the production of aerospace components. An aerospace end-of-life case study was performed in which cases varied by their input scrap streams, each having a compositional uncertainty associated with the different degrees of sorting that methods currently in use and technologies in development can achieve. The chance-constrained model calculated the production cost for each case and determined that when aerospace components were identified to the precision of individual alloys, the production cost was 20.87% lower than the cost for primary production. Using automatically sorted scrap input yielded a production cost that was 5.34% lower than the cost of primary production.en_US
dc.description.abstract(cont.) Before concluding that the development of sorting technology should only be pursued with a budget of $0.0743/kT, a break-even point calculated by the model, it is necessary to take into account the fact that dismantled scrap is more expensive than sorted. In addition to performing sensitivity analysis on the scrap prices, future work should test the production of different portfolios of finished goods and take varying demand for each alloy into consideration.en_US
dc.description.statementofresponsibilityby Emily Chen.en_US
dc.format.extent59 leavesen_US
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/1721.1/7582en_US
dc.subjectMaterials Science and Engineering.en_US
dc.titleEconomic and environmental evaluation of end-of-life aerospace aluminum options using optimization methodsen_US
dc.typeThesisen_US
dc.description.degreeS.B.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineering
dc.identifier.oclc238657617en_US


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