506 research outputs found

    Heat and Mass Transfer in Wood Composite Panels During Hot Pressing. Part II. Modeling Void Formation and Mat Permeability

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    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

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    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

    Effect of nematic order on the low-energy spin fluctuations in detwinned BaFe1.935_{1.935}Ni0.065_{0.065}As2_2

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    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,Ï€\pi) should decrease with decreasing temperature below the structural transition temperature TsT_s. Here we report inelastic neutron scattering studies on the low-energy spin fluctuations in BaFe1.935_{1.935}Ni0.065_{0.065}As2_2 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,Ï€\pi) happens just below TsT_s, 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

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    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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