Cad Fabrication
Cad Fabrication - Related Videos
08:32
Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting
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Cited by 8 •
2016
An indirect additive manufacturing method combining a 3D printing of polymers with a centrifugal casting is outlined for manufacturing 3D octet truss metals (Al and Cu alloys) having a unit cell length of 5 mm with a wall thickness of 0.5 mm.
07:36
Fabricating Nanogaps by Nanoskiving
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Cited by 3 •
2013
The fabrication of electrically addressable, high-aspect-ratio (> 1000:1) metal nanowires separated by gaps of single nanometers using either sacrificial layers of aluminum and silver or self-assembled monolayers as templates is described. These nanogap structures are fabricated without a clean room or any photo- or electron-beam lithographic processes by a form of edge lithography known as nanoskiving.
11:10
Fabrication and Operation of a Nano-Optical Conveyor Belt
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2015
The scalability and resolution of conventional optical manipulation techniques are limited by diffraction. We circumvent the diffraction limit and describe a method of optically transporting nanoparticles across a chip using a gold surface patterned with a path of closely spaced C-shaped plasmonic resonators.
09:35
Fabrication of High Contact-Density, Flat-Interface Nerve Electrodes for Recording and Stimulation Applications
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Cited by 24 •
2016
This article provides a detailed description on the fabrication process of a high contact-density flat interface nerve electrode (FINE). This electrode is optimized for recording and stimulating neural activity selectively within peripheral nerves.
10:16
Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication
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Cited by 49 •
2011
The methodology for fabricating synthetic vocal fold models is described. The models are life-sized and mimic the multi-layer structure of the human vocal folds. Results show the models to self-oscillate at pressures comparable to lung pressure and demonstrate flow-induced vibratory responses that are similar to those of human vocal folds.
FAQs
Geometric dimensions are specified in CAD software, where the intended shape is organized as a reproducible design. That model is then translated into manufacturing instructions for a selected process, such as 3D printing, laser cutting, or computer numerical control machining. The resulting component can be evaluated and revised through rapid prototyping before use in an experiment.
The choice of material and fabrication resolution links the digital model to the component's final form and function. A design with correct geometry may still require adjustment if those factors do not suit the intended research tool. Considering them during design helps researchers preserve dimensional precision, support consistent construction, and adapt components to experimental needs.
CAD fabrication can use 3D printing, laser cutting, or computer numerical control machining. The choice should reflect the design's geometry, material, and required fabrication resolution, rather than assuming one route fits every component. Matching the process to intended form and function helps researchers move from a digital model to a physical part in a controlled, repeatable way.
A workflow begins by defining the component's geometric dimensions in CAD software. Researchers then select a material, fabrication resolution, and manufacturing route, and convert the design into instructions for production. After physical construction, the component can be incorporated into a custom research setup, where standardized designs support repeated experiments or further adaptation.
In neuroscience, the approach can produce custom electrode holders, brain-computer interface components, microfluidic platforms, and experimental apparatus. These examples show how digital designs can be tailored to particular anatomical or behavioral studies instead of relying only on fixed equipment. The same workflow therefore connects precise construction with specialized experimental requirements across different research setups.
Rapid prototyping lets researchers modify and reproduce designs, while digital specifications provide a basis for standardizing equipment across experiments. Designs can also be adapted to anatomical or behavioral studies, making the workflow useful when study requirements vary. These outcomes support flexible tool development while preserving reproducible construction for neuroscience experiments and other research applications.