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oai:dspace.mit.edu:1721.1/1473562023-01-20T03:22:48Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023

Hardt, David Hart, John Flam, Rachael M. Massachusetts Institute of Technology. Department of Mechanical Engineering 2023-01-19T18:47:50Z 2023-01-19T18:47:50Z 2022-09 2022-10-05T13:44:24.827Z https://hdl.handle.net/1721.1/147356 Metal Laser Powder Bed Fusion (M-LPBF) is a method of additive manufacturing that enables the fabrication of complex components that would not otherwise be possible through conventional manufacturing techniques. M-LPBF is well suited for aerospace applications because of its ability to fabricate geometrically complex and efficient components. It can also enable the reduction of costs and the schedule of programs. The recent advancements in material development have the potential to widen the design space even further for aerospace applications, but the initial process of evaluating a new material on a M-LPBF printer can be time-consuming and costly. In this thesis, a framework to improve the efficiency and structure of M-LPBF process development is proposed. First, simulations of the melt pool were performed to understand the impact of primary process parameters on the dimensions of the melt pool. Then, tools to model the melt pool were tested and used in combination with analytical equations to identify an acceptable processing window for the M-LPBF process. Following this process parameter filtering, physical experiments were executed that investigated the impact of process and design parameters on various outputs connected to the melt pool, density, dimensional accuracy, and surface roughness of the coupons printed. Optimal parameter ranges can then be determined according to different design and process priorities. The framework developed in this project enables a material and machine agnostic approach to process parameter selection in less time and at a lower cost. M.Eng. Massachusetts Institute of Technology In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ Laser Powder Bed Fusion Process Characterization: Design of Experiments for Dimensionally Accurate Thin Walls Thesis application/pdf Master Master of Engineering in Advanced Manufacturing and Design Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="ad29712b-0d7a-4698-849f-c9e046fae647"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Title>Laser Powder Bed Fusion Process Characterization: Design of Experiments for Dimensionally Accurate Thin Walls</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2022-09</PublicationDate> <Authors> <Author> <DisplayName>Flam, Rachael M.</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://rightsstatements.org/page/InC-EDU/1.0/</License> <Abstract>Metal Laser Powder Bed Fusion (M-LPBF) is a method of additive manufacturing that enables the fabrication of complex components that would not otherwise be possible through conventional manufacturing techniques. M-LPBF is well suited for aerospace applications because of its ability to fabricate geometrically complex and efficient components. It can also enable the reduction of costs and the schedule of programs. The recent advancements in material development have the potential to widen the design space even further for aerospace applications, but the initial process of evaluating a new material on a M-LPBF printer can be time-consuming and costly. In this thesis, a framework to improve the efficiency and structure of M-LPBF process development is proposed. First, simulations of the melt pool were performed to understand the impact of primary process parameters on the dimensions of the melt pool. Then, tools to model the melt pool were tested and used in combination with analytical equations to identify an acceptable processing window for the M-LPBF process. Following this process parameter filtering, physical experiments were executed that investigated the impact of process and design parameters on various outputs connected to the melt pool, density, dimensional accuracy, and surface roughness of the coupons printed. Optimal parameter ranges can then be determined according to different design and process priorities. The framework developed in this project enables a material and machine agnostic approach to process parameter selection in less time and at a lower cost.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>