5 research outputs found

    Additive Manufacturing of Metal Bandpass Filters for Future Radar Receivers

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    Selective laser melting (SLM) is a powder-bed fusion (PBF) process that bonds successive layers of powder with a laser to create components directly from computer-aided design (CAD) files. The additive nature of the SLM process in addition to the use of fine powders facilitates the construction of complex geometries, which has captured the attention of those involved in the design of bandpass filters for radar applications. However, a significant drawback of SLM is its difficulty in fabricating parts with overhangs necessitating the use of support structures, which, if not removed, can greatly impact the performance of bandpass filters. Therefore, in this study bandpass filters are manufactured in two stages with 304L stainless steel where each builds only a portion of the part to improve the reliability in manufacturing the overhangs present. The results show that the versatility of SLM can produce difficult-to-manufacture bandpass filters with high dimensional accuracy

    Effective and interactive dissemination of diffusion data using MPContribs, plus a demo of UW/SI2 and MPContribs

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    <p>We will describe in this talk how the general approach taken by MPContribs solves the very specific challenges faced by the UW researchers in effectively disseminating their data to the public. The presented solution developed in the collaborative effort between UW and LBNL is the first to demonstrate how MPContribs can empower research groups through the rapid development and deployment of customized but MP-compatible web applications either using on-site or MP resources. It will also be shown how these efforts directly translate into solutions for the ongoing collaboration with researchers at the Advanced Light Source at LBNL [1] in which we aim to develop a processing pipeline for experimental XAS data from the beamline computer to integrated analysis web apps on MP.</p><p>In our demo portion, we show the integration of the UW/SI2 workflow with MPContribs and JupyterHub. See [2] for a quick impression of the general functionality for the UW/SI2 use case. The video and the demo illustrate how MPContribs can be used to contribute, explore and feed data to the generic contribution details pages as well as a project-specific web application.</p><p>[1] MPContribs, arXiv:1510.05024, arXiv:1510.05727, MRS Spring 2016</p><p>[2] https://www.youtube.com/watch?v=wbWde5StHnU (3:43min)</p

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