Autodesk Netfabb
Autodesk Netfabb - Related Videos
09:17
3D Printing of Biomolecular Models for Research and Pedagogy
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Cited by 29 •
2017
Physical models of biomolecules can facilitate an understanding of their structure-function for the researcher, aid in communication between researchers, and serve as an educational tool in pedagogical endeavors. Here, we provide detailed guidance for the 3D printing of accurate models of biomolecules using fused filament fabrication desktop 3D printers.
15:53
Utilizing 3D Printing Technology to Merge MRI with Histology: A Protocol for Brain Sectioning
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Cited by 33 •
2016
The overall goal of this protocol is to accurately align magnetic resonance imaging (MRI) image volumes with histology sections via the creation of customized 3D-printed brain holders and slicer boxes.
11:29
Reusable Hepatic Imaging Tool: A Reusable 3D-Printed Tool for Hepatic Intravital Microscopy
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2026
This protocol introduces a cutting-edge, Reusable Hepatic Imaging Tool (RHIT) for intravital microscopy (IVM) of live mice, which enhances tissue stability for rapid and acute experiments. The RHIT's 3D-printed design offers cost-effective production, scalability, and versatility, enabling prolonged observation of metabolic processes in mice of various sizes.
07:57
Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals
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2017
A methodology is described herein for representing anatomical imaging data within crystals. We create scaled three-dimensional models of biomedical imaging data for use in Sub-Surface Laser Engraving (SSLE) of crystal glass. This tool offers a useful complement to computational display or three-dimensionally printed models used within clinical or educational settings.
13:32
Designing a Bio-responsive Robot from DNA Origami
0 Views •
Cited by 3 •
2013
DNA origami is a powerful method for fabricating precise nanoscale objects by programming the self-assembly of DNA molecules. Here, we describe how DNA origami can be utilized to design a robotic robot capable of sensing biological cues and responding by shape shifting, subsequently relayed to a desired effect.
FAQs
Netfabb links part preparation with downstream manufacturing decisions by processing both CAD and mesh data. That connection lets engineers examine whether a digital part is suitable for a selected additive workflow before committing to fabrication. Instead of treating geometry correction, build planning, and analysis as separate tasks, the software supports a connected sequence in which earlier design and preparation choices inform later production decisions.
Geometry defects can undermine print preparation, so Netfabb identifies problems such as gaps and intersecting facets and supports their repair. These checks matter because a digital model must represent a usable part boundary before engineers can reliably orient it, add supports, arrange a build, or generate machine-ready toolpaths. Repair therefore functions as a quality-control step, not merely cosmetic editing.
Orientation, support generation, and build arrangement influence how a component is prepared for fabrication. Autodesk Netfabb brings these decisions together with simulation capabilities that assess additive-manufacturing behavior before printing. Engineers can therefore compare preparation choices in relation to expected process behavior, helping them evaluate complex components earlier and reduce the likelihood that unsuitable planning reaches the machine.
A practical workflow begins with importing or processing CAD or mesh geometry, followed by checking and repairing defects. Engineers then orient parts, generate supports, and arrange the build before preparing toolpaths for the target machine. Where appropriate, simulation is used before fabrication to assess behavior. This sequence connects model quality, build planning, and machine preparation in one engineering workflow.
The platform is relevant to both metal and polymer additive manufacturing, allowing the same general preparation logic to support different material contexts. Engineers may apply it to prototypes, customized components, and production-scale workflows. Its value is especially apparent when parts are geometrically complex or when fabrication errors and material consumption must be considered during planning.
Netfabb can support engineering decisions at several scales, from correcting an individual part file to organizing a production build. The resulting information includes repaired geometry, planned orientation, support structures, build arrangement, toolpaths, and simulation-based assessment of additive behavior. Together, these outputs help teams improve printability, reduce material use, and evaluate components before fabrication.