Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Multispectral characterization of additively manufactured and dip-coated axicons

View through CrossRef
This article discusses the additive manufacturing and post-processing of axicons, and their performance evaluation using attenuation and near-field-measurements based fundamental techniques. The axicons are manufactured using the materials cyclic olefin copolymer (TOPAS) and polymethyl methacrylate (PMMA), for their respective use in terahertz and near-infrared applications. An emphasis is placed on the dip-coating-based post-processing. Interval dipping and intermittent hardening lead to excellent surface finish and transparency in case of additively-manufactured near-infrared axicons. The dip-coated samples exhibit surface roughness of sub 10nm, and a uniformly distributed thin layer coating over the axicon surface. In addition to the improved surface finish and transparency, the coatings are also closely matched in refractive index to the axicon material. Such post-processed axicons pave the way for rapid-prototyping and production.
Title: Multispectral characterization of additively manufactured and dip-coated axicons
Description:
This article discusses the additive manufacturing and post-processing of axicons, and their performance evaluation using attenuation and near-field-measurements based fundamental techniques.
The axicons are manufactured using the materials cyclic olefin copolymer (TOPAS) and polymethyl methacrylate (PMMA), for their respective use in terahertz and near-infrared applications.
An emphasis is placed on the dip-coating-based post-processing.
Interval dipping and intermittent hardening lead to excellent surface finish and transparency in case of additively-manufactured near-infrared axicons.
The dip-coated samples exhibit surface roughness of sub 10nm, and a uniformly distributed thin layer coating over the axicon surface.
In addition to the improved surface finish and transparency, the coatings are also closely matched in refractive index to the axicon material.
Such post-processed axicons pave the way for rapid-prototyping and production.

Related Results

Multispectral characterization of additively manufactured and dip-coated axicons
Multispectral characterization of additively manufactured and dip-coated axicons
This article discusses the additive manufacturing and post-processing of axicons, and their performance evaluation using attenuation and near-field-measurements based fundamental t...
Multispectral Characterization of Additively Manufactured and Dip-Coated Axicons
Multispectral Characterization of Additively Manufactured and Dip-Coated Axicons
This article discusses the additive manufacturing and post-processing of axicons, and their performance evaluation using attenuation and near-field-measurements based fundamental t...
Foreign aid mix and manufactured exports performance in sub-Saharan Africa
Foreign aid mix and manufactured exports performance in sub-Saharan Africa
This study aims at finding out effects of foreign aid mix on manufactured exports performance in Sub-Saharan Africa. This is important as the region has lagged behind on promotion ...
Advanced data processing of ATF claddings
Advanced data processing of ATF claddings
Digital image processing (DIP), neural networks, and artificial intelligence (AI) are revolutionizing materials science, enabling precise and efficient analysis of microscopic feat...
Drugs associated with DIP
Drugs associated with DIP
Drug-induced parkinsonism (DIP) is one of the most frequent extrapyramidal disorders that develops against the background of prescribing a large number of medications. Initially, D...
Global distribution of earthquake-fault dip angles
Global distribution of earthquake-fault dip angles
SUMMARY The dip angle is one of the fault parameters that most affect fault-related hazard analyses (ground shaking, tsunami) because it not only influences the infe...
3D Convolutional Neural Networks for Solving Complex Digital Agriculture and Medical Imaging Problems
3D Convolutional Neural Networks for Solving Complex Digital Agriculture and Medical Imaging Problems
3D signals have become widely popular in view of the advantage they provide via 3D representations of data by employing a third spatial or temporal dimension to extend 2D signals. ...

Back to Top