506 research outputs found
Heat and Mass Transfer in Wood Composite Panels During Hot Pressing. Part II. Modeling Void Formation and Mat Permeability
Theoretical models have been developed to predict the porosity and permeability of wood strand mats during consolidation. Based on the Poisson distribution of mat formation, the porosity model predicts the formation of both inside- and between-strand void volumes. It is proposed and predicted that the between-strand voids consist of voids between non-contact strand faces and voids around strand edges, with the former dominating in the early stage of consolidation and the latter dominating in the latter stage of consolidation. The permeability model is developed based on the Carman-Kozeny theory for porous materials. The model is compared and agrees with experimental results obtained from this study and from the literature. The results show mat permeability is mainly controlled by voids between strands instead of those inside strands. Mat density has a primary effect and strand size has a secondary but very important effect on mat porosity and permeability especially in the later stage of consolidation. Strand thickness has a stronger impact than strand width and length. Strand dimensions and mat permeability are shown to have significant effects on internal environmental conditions in wood composites during hot-pressing
Data-driven control of nonlinear systems from input-output data
The design of controllers from data for nonlinear systems is a challenging
problem. In a recent paper, De Persis, Rotulo and Tesi, "Learning controllers
from data via approximate nonlinearity cancellation," IEEE Transactions on
Automatic Control, 2023, a method to learn controllers that make the
closed-loop system stable and dominantly linear was proposed. The approach
leads to a simple solution based on data-dependent semidefinite programs. The
method uses input-state measurements as data, while in a realistic setup it is
more likely that only input-output measurements are available. In this note we
report how the design principle of the above mentioned paper can be adjusted to
deal with input-output data and obtain dynamic output feedback controllers in a
favourable setting.Comment: Submitted for peer review on 31 March 2023. To appear in the
Proceedings of the 62nd IEEE Conference on Decision and Control, 13-15
December 2023, Singapor
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Energy transfer in multi-collision environments; an experimental test of theory: LiH (10;2) in H2(0;0)
We report separate experimental and theoretical studies that follow the equilibration of highly excited LiH (v=10;J=2) in H2 at 680K. Experiments that follow the time evolution of state-tostate population transfer in multi-collision conditions were carried out by Shen and co-workers at Xinjiang University and East China Institute of Science and Technology with µs resolution. At the same time, theoretical computations on the relaxation of this gas mixture were undertaken by McCaffery and co-workers at Sussex University. Rapid, near-resonant, vibration-vibration energy exchange is a marked feature of the initial relaxation process. However, at later stages of ensemble evolution, slower vibration-rotation transfer processes form the dominant relaxation mechanism. The physics of the decay process are complex and, as demonstrated experimentally here, a single exponential expression is unlikely to capture the form of this decay with any accuracy. When these separate studies were complete, the evolution of modal temperatures from the Sussex calculations were compared with experimental measurements of these same quantities from Shanghai and Urumqui. The two sets of data were found to be identical to within experimental and computational error. This constitutes an important experimental validation of the theoretical/computational model developed by the Sussex group and a significant experimental advance by the group of Shen et.al
Effect of nematic order on the low-energy spin fluctuations in detwinned BaFeNiAs
The origin of nematic order remains one of the major debates in iron-based
superconductors. In theories based on spin nematicity, one major prediction is
that the spin-spin correlation length at (0,) should decrease with
decreasing temperature below the structural transition temperature . Here
we report inelastic neutron scattering studies on the low-energy spin
fluctuations in BaFeNiAs under uniaxial pressure. Both
intensity and spin-spin correlation start to show anisotropic behavior at high
temperature, while the reduction of the spin-spin correlation length at
(0,) happens just below , suggesting strong effect of nematic order
on low-energy spin fluctuations. Our results favor the idea that treats the
spin degree of freedom as the driving force of the electronic nematic order.Comment: 5 pages, 4 figure
Phylogenetic diversity of dinoflagellates in polar regions
Because of the limitations of sampling and seasonal study in polar regions, knowledge of dinoflagellate diversity, distribution and ecology are limited. Dinoflagellates have been incidentally reported from polar regions during some seasons and some populations have been reported as components of microalgae. Surveys of molecular diversity link the genotype of dinoflagellates from polar regions with environmental adaptation. In this study, 37 positive clones of dinoflagellates collected from different sites were used for genotype analysis, providing new insights into the biodiversity and distribution of these species based on 18S rRNA sequencing. Diverse genotypes were recorded for the summer season in Kongsfjorden (high Arctic) whilst a single novel genotype of dinoflagellate was recorded from winter samples from the Antarctic Ocean. Data from ice cores suggests that this single dinoflagellate genotype was adapted to extreme cold and clone library screening found that it was occasionally the only microbial eukaryotic genotype found in winter ice cores. The findings of this study could improve our understanding of the diverse dinoflagellate genotypes occurring in these perennially cold microbial ecosystems
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