- Dealloyed Nanoporous Metals

2013 ◽  
pp. 144-201 ◽  
Keyword(s):  
Nanoporous Metals

scholarly journals A Strategy for Dimensionality Reduction and Data Analysis Applied to Microstructure–Property Relationships of Nanoporous Metals

Materials ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 1822
Author(s):  
Norbert Huber
Keyword(s):  
Machine Learning ◽  
Dimensionality Reduction ◽  
Work Hardening ◽  
Large Range ◽  
Scaling Law ◽  
Principal Component ◽  
Underlying Structure ◽  
Structure Property ◽  
Work Hardening Rate ◽  
Nanoporous Metals

Nanoporous metals, with their complex microstructure, represent an ideal candidate for the development of methods that combine physics, data, and machine learning. The preparation of nanporous metals via dealloying allows for tuning of the microstructure and macroscopic mechanical properties within a large design space, dependent on the chosen dealloying conditions. Specifically, it is possible to define the solid fraction, ligament size, and connectivity density within a large range. These microstructural parameters have a large impact on the macroscopic mechanical behavior. This makes this class of materials an ideal science case for the development of strategies for dimensionality reduction, supporting the analysis and visualization of the underlying structure–property relationships. Efficient finite element beam modeling techniques were used to generate ~200 data sets for macroscopic compression and nanoindentation of open pore nanofoams. A strategy consisting of dimensional analysis, principal component analysis, and machine learning allowed for data mining of the microstructure–property relationships. It turned out that the scaling law of the work hardening rate has the same exponent as the Young’s modulus. Simple linear relationships are derived for the normalized work hardening rate and hardness. The hardness to yield stress ratio is not limited to 1, as commonly assumed for foams, but spreads over a large range of values from 0.5 to 3.

Influence of surface stress on the mechanical response of nanoporous metals studied by an atomistically informed continuum model

2021 ◽  
pp. 117373
Author(s):  
Arne J. Klomp ◽  
Alexander Stukowski ◽  
Ralf Müller ◽  
Karsten Albe ◽  
Felix Diewald
Keyword(s):  
Surface Stress ◽  
Continuum Model ◽  
Mechanical Response ◽  
Nanoporous Metals

Scaling laws for nanoporous metals under uniaxial loading

2021 ◽  
Author(s):  
Mohammed H. Saffarini ◽  
George Z. Voyiadjis ◽  
Carlos J. Ruestes
Keyword(s):  
Scaling Laws ◽  
Uniaxial Loading ◽  
Nanoporous Metals

scholarly journals Morphological Tuning of Nanoporous Metals Prepared with Conversion Reaction Synthesis via Thermal Annealing

2019 ◽  
Vol 123 (29) ◽  
pp. 17873-17883 ◽  
Author(s):  
Christopher M. Coaty ◽  
Adam A. Corrao ◽  
Victoria Petrova ◽  
Peter G. Khalifah ◽  
Ping Liu
Keyword(s):  
Thermal Annealing ◽  
Reaction Synthesis ◽  
Conversion Reaction ◽  
Nanoporous Metals
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