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Daniel Whitney and Steven Eppinger. Margetts, David (David Lawrence) Leaders for Manufacturing Program. Leaders for Manufacturing Program at MIT Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management 2009-01-30T16:30:27Z 2009-01-30T16:30:27Z 2008 2008 http://hdl.handle.net/1721.1/44305 272404292 Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2008. Includes bibliographical references (leaves 70-72). The manufacturing of turbine blades is often outsourced to investment casting foundries by aerospace companies that design and build jet engines. Aerospace companies have found that casting defects are an important cost driver in the price that they pay the foundries for the turbine blades. Defect types include porosity, stress, grain, fill, and mold-related defects. In order to address the defect problem, aerospace companies have adopted a design for manufacture approach to drive the cost of the turbine blades down. The principal research objective of this thesis was to discover how the critical part features on the turbine blade drive the number of manufacturing defects seen in the casting process. This problem was addressed by first selecting and evaluating a casting simulation software package. Secondly, a robust design of experiments was performed by using the simulation software. In the experiment, the dimensions of the critical part features were varied in order to quantify how the critical part features relate to manufacturing defects. by David Margetts. S.M. M.B.A. 72 leaves 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 Sloan School of Management. Mechanical Engineering. Leaders for Manufacturing Program. Improving the manufacturing yield of investment cast turbine blades through robust design Thesis application/pdf Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="b0d5044f-31af-4350-9eba-6a0b57773a1d"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Improving the manufacturing yield of investment cast turbine blades through robust design</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2008</PublicationDate> <Authors> <Author> <DisplayName>Margetts, David (David Lawrence)</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Sloan School of Management.</Keyword> <Keyword>Mechanical Engineering.</Keyword> <Keyword>Leaders for Manufacturing Program.</Keyword> <Abstract>The manufacturing of turbine blades is often outsourced to investment casting foundries by aerospace companies that design and build jet engines. Aerospace companies have found that casting defects are an important cost driver in the price that they pay the foundries for the turbine blades. Defect types include porosity, stress, grain, fill, and mold-related defects. In order to address the defect problem, aerospace companies have adopted a design for manufacture approach to drive the cost of the turbine blades down. The principal research objective of this thesis was to discover how the critical part features on the turbine blade drive the number of manufacturing defects seen in the casting process. This problem was addressed by first selecting and evaluating a casting simulation software package. Secondly, a robust design of experiments was performed by using the simulation software. In the experiment, the dimensions of the critical part features were varied in order to quantify how the critical part features relate to manufacturing defects.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>