Profiling and optimizing the geometric accuracy of additively manufactured components via self-organizing map

M Khanzadeh, R Jafari Marandi, MS Tootooni, L Bian… - 2016 - repositories.lib.utexas.edu
One main challenge of additive manufacturing is the lack of geometric accuracy of the parts.
Part geometry measurements generated using Next Engine 3D scanners yields an …
被引用次数：8 相关文章
[PDF] utexas.edu

[PDF][PDF] Profiling and Optimizing the Geometric Accuracy of Additively Manufactured Components via Self-Organizing Map

M Khanzadeh, RJ Marandi, MS Tootooni, L Bian… - utw10945.utweb.utexas.edu
One main challenge of additive manufacturing is the lack of geometric accuracy of the parts.
Part geometry measurements generated using Next Engine 3D scanners yields an …
[PDF] researchgate.net

[PDF][PDF] Profiling and Optimizing the Geometric Accuracy of Additively Manufactured Components via Self-Organizing Map

M Khanzadeh, RJ Marandi, MS Tootooni, L Bian… - researchgate.net
One main challenge of additive manufacturing is the lack of geometric accuracy of the parts.
Part geometry measurements generated using Next Engine 3D scanners yields an …
[PDF] researchgate.net

[PDF][PDF] Profiling and Optimizing the Geometric Accuracy of Additively Manufactured Components via Self-Organizing Map

M Khanzadeh, RJ Marandi, MS Tootooni, L Bian… - researchgate.net
One main challenge of additive manufacturing is the lack of geometric accuracy of the parts.
Part geometry measurements generated using Next Engine 3D scanners yields an …