Autodesk Netfabb
Autodesk Netfabb - Related Videos
10:01
Structure-Guided Design and Development of Novel Cyclophilin A Inhibitors and Ganoderiol-F Derivatives: An In-Silico Approach
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2026
Here, we present a protocol for the structure-guided design of protein-ligand binding interaction between Sanglifehrin A and Cyclophilin A/Ganoderiol-F, essential in discovering new drugs. The stability of the ligand-receptor complex was evaluated using molecular dynamics simulation.
15:53
Utilizing 3D Printing Technology to Merge MRI with Histology: A Protocol for Brain Sectioning
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Cited by 30 •
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.
11:06
Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia
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Cited by 12 •
2023
The present protocol describes an integrated strategy for exploring the key targets and mechanisms of Fructus Phyllanthi against hyperlipidemia based on network pharmacology prediction and metabolomics verification.
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.
08:49
Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
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Cited by 1 •
2025
Computational methods hold promises for expediting drug discovery, yet they frequently overlook the dynamic nature of protein structures. Here, we discuss ensemble-based docking analysis to indirectly incorporate protein flexibility, potentially improving the accuracy and reliability of drug discovery efforts.
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.