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A. John Hart. Hasan, Talha System Design and Management Program. Massachusetts Institute of Technology. Engineering and Management Program System Design and Management Program. Massachusetts Institute of Technology. Integrated Design and Management Program 2018-02-08T16:27:26Z 2018-02-08T16:27:26Z 2017 2017 http://hdl.handle.net/1721.1/113519 1020073679 Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 79-81). Additive Manufacturing (AM), with its bottom-up approach enables the fabrication of highly complex geometries, the combination of multiple materials to achieve specific physical properties, and the consolidation of assemblies into single parts. Although many of the prominent processes were invented 20-30 years ago, we are now seeing rapid performance improvement and the synthesis of innovative processes that greatly expand the applications of AM. That being said, there are significant barriers to entry, one being the low throughput of additive processes when compared with more conventional methods, another being the high cost of introducing AM processes into current supply chains. Identifying key use cases where AM can be of maximum benefit is pivotal to exploit its potential. This research aims to provide methodology and tools to enable rapid estimation for part suitability in AM with physics-based and predictive models. A method is presented to estimate build time for parts manufactured via the Selective Laser Sintering process, utilizing specific metrics for part geometry and machine specific parameters. Key elements of the AM cost function are identified using the estimation model, paying close attention to assessing the impact of machine cost on the final part. In summary, these tools can be expanded to allow for not only part selection in AM, but also to act as decision tools when designing equipment.. by Talha Hasan. S.M. in Engineering and Management 81 pages eng Massachusetts Institute of Technology MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 Engineering and Management Program. Integrated Design and Management Program. System Design and Management Program. Parametric analysis of part suitability in Additive Manufacturing Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="b839dfb1-95c2-4d11-8a31-977e38cf0cc3"> <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>Parametric analysis of part suitability in Additive Manufacturing</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2017</PublicationDate> <Authors> <Author> <DisplayName>Hasan, Talha</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>Engineering and Management Program.</Keyword> <Keyword>Integrated Design and Management Program.</Keyword> <Keyword>System Design and Management Program.</Keyword> <Abstract>Additive Manufacturing (AM), with its bottom-up approach enables the fabrication of highly complex geometries, the combination of multiple materials to achieve specific physical properties, and the consolidation of assemblies into single parts. Although many of the prominent processes were invented 20-30 years ago, we are now seeing rapid performance improvement and the synthesis of innovative processes that greatly expand the applications of AM. That being said, there are significant barriers to entry, one being the low throughput of additive processes when compared with more conventional methods, another being the high cost of introducing AM processes into current supply chains. Identifying key use cases where AM can be of maximum benefit is pivotal to exploit its potential. This research aims to provide methodology and tools to enable rapid estimation for part suitability in AM with physics-based and predictive models. A method is presented to estimate build time for parts manufactured via the Selective Laser Sintering process, utilizing specific metrics for part geometry and machine specific parameters. Key elements of the AM cost function are identified using the estimation model, paying close attention to assessing the impact of machine cost on the final part. In summary, these tools can be expanded to allow for not only part selection in AM, but also to act as decision tools when designing equipment..</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>