Survey of state-of-the-art vibration isolation research and technology for space applications

2003 ◽  
Author(s):  
Michael F. Winthrop ◽  
Richard G. Cobb
Keyword(s):  
Vibration Isolation ◽  
State Of The Art ◽  
Space Applications

scholarly journals On the design workflow of auxetic metamaterials for structural applications

2021 ◽  
Author(s):  
Matt Wallbanks ◽  
Muhammad Farhan Khan ◽  
Mahdi Bodaghi ◽  
Andrew Triantaphyllou ◽  
Ahmad Serjouei
Keyword(s):  
Additive Manufacturing ◽  
Energy Absorption ◽  
Design Process ◽  
Vibration Isolation ◽  
State Of The Art ◽  
Cell Types ◽  
Unit Cell ◽  
Structural Applications ◽  
Auxetic Structures ◽  
First Time

Abstract Auxetic metamaterials exhibit an unexpected behaviour of a negative Poisson’s ratio, meaning they expand transversely when stretched longitudinally. This behaviour is generated predominantly due to the way individual elements of an auxetic lattice are structured. These structures are gaining interest in a wide variety of applications such as energy absorption, sensors, smart filters, vibration isolation and medical etc. Their potential could be further exploited by the use of additive manufacturing. Currently there is a lack of guidance on how to design these structures. This paper highlights state-of-the-art in auxetic metamaterials and its commonly used unit-cell types. It further explores the design approaches used in the literature on creating auxetic lattices for different applications and proposes, for the first time, a workflow comprising design, simulation and testing of auxetic structures. This workflow provides guidance on the design process for using auxetic metamaterials in structural applications.

Miniature vibration isolation system for space applications: Phase II

2004 ◽  
Author(s):  
Jack H. Jacobs ◽  
James A. Ross ◽  
Steve Hadden ◽  
Mario Gonzalez ◽  
Zach Rogers ◽  
...  
Keyword(s):  
Phase Ii ◽  
Vibration Isolation ◽  
Space Applications ◽  
Isolation System ◽  
Vibration Isolation System

Benchmarking Deep Learning for On-Board Space Applications

2021 ◽  
Vol 13 (19) ◽  
pp. 3981
Author(s):  
Maciej Ziaja ◽  
Piotr Bosowski ◽  
Michal Myller ◽  
Grzegorz Gajoch ◽  
Michal Gumiela ◽  
...  
Keyword(s):  
Deep Learning ◽  
Experimental Validation ◽  
State Of The Art ◽  
Learning Algorithms ◽  
Real Life ◽  
Space Applications ◽  
Deep Model ◽  
Learning Techniques ◽  
Standard Tool ◽  
Benchmark Datasets

Benchmarking deep learning algorithms before deploying them in hardware-constrained execution environments, such as imaging satellites, is pivotal in real-life applications. Although a thorough and consistent benchmarking procedure can allow us to estimate the expected operational abilities of the underlying deep model, this topic remains under-researched. This paper tackles this issue and presents an end-to-end benchmarking approach for quantifying the abilities of deep learning algorithms in virtually any kind of on-board space applications. The experimental validation, performed over several state-of-the-art deep models and benchmark datasets, showed that different deep learning techniques may be effectively benchmarked using the standardized approach, which delivers quantifiable performance measures and is highly configurable. We believe that such benchmarking is crucial in delivering ready-to-use on-board artificial intelligence in emerging space applications and should become a standard tool in the deployment chain.

scholarly journals Borosilicate Glass MEMS Lorentz Force Magnetometer

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 788
Author(s):  
Matthias Kahr ◽  
Matthias Domke ◽  
Harald Steiner ◽  
Wilfried Hortschitz ◽  
Michael Stifter
Keyword(s):  
Thermal Shock ◽  
Borosilicate Glass ◽  
Thermal Shock Resistance ◽  
Dynamic Range ◽  
State Of The Art ◽  
Stability Control ◽  
Wide Dynamic Range ◽  
Space Applications ◽  
Shock Resistance ◽  
Critical Requirement

This paper reports on a novel, miniaturized magnetomechanical transducer/sensor made of borosilicate glass with wide dynamic range. The prototype is manufactured with laser micromachining and ablation techniques. Compared to state of the art, borosilicate glass substrate offers the highest thermal shock resistance and is best suited for MEMS magnetometers, for aerospace and space applications or magnetic monitoring systems for diagnostics and plasma stability control of nuclear fusion experiments, where thermal shock resistance is a critical requirement.

scholarly journals Characterization and Design of Photovoltaic Solar Cells That Absorb Ultraviolet, Visible and Infrared Light

Nanomaterials ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 78
Author(s):  
Sara Bernardes ◽  
Ricardo A. Marques Lameirinhas ◽  
João Paulo N. Torres ◽  
Carlos A. F. Fernandes
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
State Of The Art ◽  
Infrared Light ◽  
Maximum Efficiency ◽  
Space Applications ◽  
Figures Of Merit ◽  
The World ◽  
Photovoltaic Solar Cells ◽  
Lattice Matched

The world is witnessing a tide of change in the photovoltaic industry like never before; we are far from the solar cells of ten years ago that only had 15–18% efficiency. More and more, multi-junction technologies seem to be the future for photovoltaics, with these technologies already hitting the mark of 30% under 1-sun. This work focuses especially on a state-of-the-art triple-junction solar cell, the GaInP/GaInAs/Ge lattice-matched, that is currently being used in most satellites and concentrator photovoltaic systems. The three subcells are first analyzed individually and then the whole cell is put together and simulated. The typical figures-of-merit are extracted; all the I−V curves obtained are presented, along with the external quantum efficiencies. A study on how temperature affects the cell was done, given its relevance when talking about space applications. An overall optimization of the cell is also elaborated; the cell’s thickness and doping are changed so that maximum efficiency can be reached. For a better understanding of how varying both these properties affect efficiency, graphic 3D plots were computed based on the obtained results. Considering this optimization, an improvement of 0.2343% on the cell’s efficiency is obtained.

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