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Developing descriptors to predict mechanical properties of nanotubes
(2013-04-22)
Descriptors and quantitative structure property relationships (QSPR) were investigated for mechanical property prediction of carbon nanotubes (CNTs). 78 molecular dynamics (MD) simulations were carried out, and 20 descriptors ...
Developing descriptors to predict mechanical properties of nanotubes
(2013-04-22)
Descriptors and quantitative structure property relationships (QSPR) were investigated for mechanical property prediction of carbon nanotubes (CNTs). 78 molecular dynamics (MD) simulations were carried out, and 20 descriptors ...
Bayesian identification of electromechanical properties in piezoelectric energy harvesters
(Elsevier, 2020)
The model updating of the electro-mechanical properties of Piezoelectric Energy
Harvesters (PEHs) using experimental data within a Bayesian inference setting is discussed.
The implementation requires: a predictive model ...
Experimental and artificial neural network approach for prediction of dynamic mechanical behavior of sisal/glass hybrid composites
(2021-01-01)
The dynamic mechanical behavior (storage modulus, loss modulus, and tan δ) of hybrid sisal/glass composites was investigated in the temperature range of 30–210 °C, for two different volume percentages of reinforcement along ...
Finite element and dimensional analysis algorithm for the prediction of mechanical properties of bulk materials and thin films
(ELSEVIER SCIENCE SA, 2010)
In this work, the applicability of a new algorithm for the estimation of mechanical properties from instrumented indentation data was studied for thin films. The applicability was analyzed with the aid of both three-dimensional ...
Prediction of mechanical and microstructural properties of hot rolled steels
(CENTRO NACIONAL DE INVESTIGACIONES METALURGICAS, 2002)
Empirical Models for End-Use Properties Prediction: Application to Injection Molding of Some Polyethylene Resins
(John Wiley & Sons IncHobokenEUA, 2009)
Polymer informatics for QSPR prediction of tensile mechanical properties. Case study: Strength at break
(American Institute of Physics, 2022-05)
The artificial intelligence-based prediction of the mechanical properties derived from the tensile test, plays a key role in assessing the application profile of new polymeric materials, specifically in the design stage, ...