Abstract
In additive manufacturing (AM) the moving heat source and layer deposition gives rise to each volume of material receiving a complex thermal history. In addition, the machine control systems can vary the heat input as a function of the component geometry and process themes. Together, this can potentially cause both short and long range microstructure heterogeneity, which can potentially impact on the local mechanical properties of AM components. To systematically quantify the heterogeneity typically seen in the lamellar microstructures found in AM titanium parts, a tool has been developed that combine’s automatic high resolution SEM image mapping with batch image analysis, to enable efficient quantification over large areas at the required resolution. This method has been applied to parts produced in Ti6Al4V by selective electron beam melting using an Arcam machine. The method and test cases are described, where both long and short range heterogeneity have been identified in samples and correlated to the build parameters.
Original language | English |
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Pages | 429 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 2015 |
Event | TMS 2015 A146th Annual Meeting and Exhibition: Additive Manufacturing Symp - Orlando, United States Duration: 15 Mar 2015 → 19 Mar 2015 http://www.tms.org/meetings/annual-15/AM15home.aspx |
Conference
Conference | TMS 2015 A146th Annual Meeting and Exhibition |
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Abbreviated title | TMS 2015 |
Country/Territory | United States |
City | Orlando |
Period | 15/03/15 → 19/03/15 |
Internet address |