Additive Manufacturing (AM) of Metallic Alloys
The introduction of metal AM processes in such industrial sectors as the aerospace, automotive, defense, jewelry, medical and tool-making fields, has led to a significant reduction in waste material and in the lead times of the components, innovative designs with higher strength, lower weight, and f...
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Format: | Electronic Book Chapter |
Language: | English |
Published: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
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Online Access: | DOAB: download the publication DOAB: description of the publication |
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245 | 1 | 0 | |a Additive Manufacturing (AM) of Metallic Alloys |
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300 | |a 1 electronic resource (154 p.) | ||
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520 | |a The introduction of metal AM processes in such industrial sectors as the aerospace, automotive, defense, jewelry, medical and tool-making fields, has led to a significant reduction in waste material and in the lead times of the components, innovative designs with higher strength, lower weight, and fewer potential failure points from joining features. This Special Issue on "Additive Manufacturing (AM) of Metallic Alloys" contains a mixture of review articles and original contributions on some problems that limit the wider uptake and exploitation of metals in AM. | ||
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a History of engineering & technology |2 bicssc | |
653 | |a design for additive manufacturing (DfAM) | ||
653 | |a displacements | ||
653 | |a laser powder bed fusion (L-PBF) | ||
653 | |a manufacturing constraints | ||
653 | |a stiffness | ||
653 | |a costs | ||
653 | |a melting of a powder bed | ||
653 | |a laser welding | ||
653 | |a optical diagnostics | ||
653 | |a molten pool | ||
653 | |a temperature field | ||
653 | |a residual stresses | ||
653 | |a electrochemical additive manufacturing | ||
653 | |a fountain pen feed system | ||
653 | |a metal 3D printer | ||
653 | |a residual stress prediction | ||
653 | |a IN718 | ||
653 | |a experimental measurement of residual stress | ||
653 | |a additive manufacturing | ||
653 | |a support structure | ||
653 | |a Powder Bed Fusion | ||
653 | |a titanium alloy | ||
653 | |a Ti-6Al-4V | ||
653 | |a fracture behavior | ||
653 | |a mechanical properties | ||
653 | |a L-PBF | ||
653 | |a in situ sensing | ||
653 | |a quality assurance | ||
653 | |a machine learning | ||
653 | |a roughness | ||
653 | |a electron beam melting (EBM) | ||
653 | |a surface texture | ||
653 | |a lack of fusion | ||
653 | |a part quality | ||
653 | |a Ti6Al4V | ||
653 | |a metal additive manufacturing | ||
653 | |a tempered | ||
653 | |a ausrolled nanobainite | ||
653 | |a microstructures | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/2862 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/69093 |7 0 |z DOAB: description of the publication |