Academic Journal
Enabling the characterization of powder and part through the Powder Bed Fusion Additive Manufacturing Pipeline ...
العنوان: | Enabling the characterization of powder and part through the Powder Bed Fusion Additive Manufacturing Pipeline ... |
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المؤلفون: | Yarasi, Srujana Rao |
بيانات النشر: | Carnegie Mellon University |
سنة النشر: | 2024 |
المجموعة: | DataCite Metadata Store (German National Library of Science and Technology) |
مصطلحات موضوعية: | Materials Engineering not elsewhere classified |
الوصف: | The Additive Manufacturing (AM) pipeline is a rich source of data, going from the powder feedstock to the final part. Powder properties such as size and morphology dictate powder behavior in the AM machine, which when combined with machine variables such as processing parameters, heavily influence the part properties like surface roughness and part density. With such a rich pipeline and many variables to contend with, it is a challenging task to draw generalized conclusions about the performance of powders and the influence of parameters on part outcomes. Added to this challenge is the lack of standardization in testing and experimentation with diverse sets of parameters. This can come from an insufficient understanding, for example, of powder behavior under AM process conditions and the physical properties that drive it. It is also due to the vast number of variables that can be manipulated, which causes a bottleneck in terms of experimentation time. Metal powders are extensively used in additive ... |
نوع الوثيقة: | text thesis |
اللغة: | unknown |
DOI: | 10.1184/r1/25048685 |
الاتاحة: | https://dx.doi.org/10.1184/r1/25048685 https://kilthub.cmu.edu/articles/thesis/Enabling_the_characterization_of_powder_and_part_through_the_Powder_Bed_Fusion_Additive_Manufacturing_Pipeline/25048685 |
Rights: | Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode ; cc-by-4.0 |
رقم الانضمام: | edsbas.5E13E06 |
قاعدة البيانات: | BASE |
DOI: | 10.1184/r1/25048685 |
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