![Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights - ScienceDirect Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0264127519308238-gr3.jpg)
Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights - ScienceDirect
![Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights - ScienceDirect Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0264127519308238-gr1.jpg)
Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights - ScienceDirect
![PDF) Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights PDF) Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights](https://i1.rgstatic.net/publication/337611659_Effects_of_defects_on_mechanical_properties_in_metal_additive_manufacturing_A_review_focusing_on_X-ray_tomography_insights/links/5f5dbe3792851c0789631eb3/largepreview.png)
PDF) Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights
![Uncertainty quantification and composition optimization for alloy additive manufacturing through a CALPHAD-based ICME framework | npj Computational Materials Uncertainty quantification and composition optimization for alloy additive manufacturing through a CALPHAD-based ICME framework | npj Computational Materials](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41524-020-00454-9/MediaObjects/41524_2020_454_Fig1_HTML.png)
Uncertainty quantification and composition optimization for alloy additive manufacturing through a CALPHAD-based ICME framework | npj Computational Materials
![Scientific, technological and economic issues in metal printing and their solutions | Nature Materials Scientific, technological and economic issues in metal printing and their solutions | Nature Materials](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41563-019-0408-2/MediaObjects/41563_2019_408_Fig1_HTML.png)
Scientific, technological and economic issues in metal printing and their solutions | Nature Materials
Design for additive manufacturing – a review of available design methods and software | Emerald Insight
![Mechanistic data-driven prediction of as-built mechanical properties in metal additive manufacturing | npj Computational Materials Mechanistic data-driven prediction of as-built mechanical properties in metal additive manufacturing | npj Computational Materials](https://media.springernature.com/lw685/springer-static/image/art%3A10.1038%2Fs41524-021-00555-z/MediaObjects/41524_2021_555_Fig1_HTML.png)
Mechanistic data-driven prediction of as-built mechanical properties in metal additive manufacturing | npj Computational Materials
![Additive Manufacturing and size-dependent mechanical properties of three-dimensional microarchitected, high-temperature ceramic metamaterials | Journal of Materials Research | Cambridge Core Additive Manufacturing and size-dependent mechanical properties of three-dimensional microarchitected, high-temperature ceramic metamaterials | Journal of Materials Research | Cambridge Core](https://static.cambridge.org/binary/version/id/urn:cambridge.org:id:binary:20180219081648025-0462:S0884291418000110:S0884291418000110_fig1g.jpeg?pub-status=live)