Basis of rational design of mineral wool product polymerization furnace on conveyor horizontal dryer

2021 ◽  
pp. 15-19
Author(s):  
A. V. Matyukhina ◽  
V. I. Matyukhin ◽  
N. V. Yashmanova
Keyword(s):  
Rational Design ◽  
Structural Parameters ◽  
Internal Surface ◽  
Treatment Method ◽  
Structural Features ◽  
Mineral Wool ◽  
Thermal Calculation ◽  
Technological Parameters ◽  
Production Program ◽  
Thermal Chamber

The structural features of the thermal unit for the production of molded heat insulation materials and their technological parameters must be in full compliance with the properties of the initial materials and are determined by the production program of the enterprise. Based on the peculiarities of gas dynamics formation, the structural parameters of the thermal chamber are determined: dimensions, shape of the internal surface, presence of longitudinal and transverse seals, extent and parameters of heat treatment. Method of thermal calculation including separate consideration of conditions of mineral wool carpet heating in heat chamber and formation of heat carrier flow in furnace is proposed.

Formation Design of Sandwich External Wall Panel in Cold Climate Area Made of Paper Honeycomb Board

2012 ◽  
Vol 174-177 ◽  
pp. 1533-1536
Author(s):  
Hai Rong Yang ◽  
Yan Yuan
Keyword(s):  
Internal Surface ◽  
Cold Climate ◽  
Transmission Factor ◽  
Thermal Calculation ◽  
Wall Panel ◽  
Insulating Layer ◽  
External Wall ◽  
Thermal Insulating ◽  
Paper Honeycomb ◽  
Formation Design

The sandwich external wall panel is made of fireproof Paper Honeycomb Board (PHB) as kernel material, and the external surface is covered by colorful extruded steel board, while the internal surface is coated with the thermal insulating frothing ceramic board or the calcium silicate board, which works as the insulating layer or protecting layer of the panel. Two types of formation design are suggested, i.e., Type-A and Type-B. After corresponding thermal calculation, the maximum thermal transmission factor is determined as 0.424W/(m2• K), which complies with the threshold stipulated in the National Code for external wall panel used in cold climate area. The newly designed wall panel will save 65% of energy when compared with the traditional one made in 1980.

Zeolates: A Coordination Chemistry View of Metal-Ligand Bonding in Intrazeolite MOCVD Type Precursors and Semiconductor Nanoclusters

1992 ◽  
Vol 277 ◽  
Author(s):  
Geoffrey A. Ozin ◽  
Carol L. Bowes ◽  
Mark R. Steele
Keyword(s):  
Self Assembly ◽  
Materials Science ◽  
Zeolite Y ◽  
Chemical Vapour ◽  
Internal Surface ◽  
Building Blocks ◽  
Structural Features ◽  
Organic Chemical ◽  
Wide Range ◽  
Shape Selective

ABSTRACTVarious MOCVD (metal-organic chemical vapour deposition) type precursors and their self-assembled semiconductor nanocluster products [1] have been investigated in zeolite Y hosts. From analysis of in situ observations (FTIR, UV-vis reflectance, Mössbauer, MAS-NMR) of the reaction sequences and structural features of the precursors and products (EXAFS and Rietveld refinement of powder XRD data) the zeolite is viewed as providing a macrospheroidal, multidendate coordination environment towards encapsulated guests. By thinking about the α- and β-cages of the zeolite Y host effectively as a zeolate ligand composed of interconnected aluminosilicate “crown ether-like” building blocks, the materials chemist is able to better understand and exploit the reactivity and coordination properties of the zeolite internal surface for the anchoring and self-assembly of a wide range of encapsulated guests. This approach helps with the design of synthetic strategies for creating novel guest-host inclusion compounds having possible applications in areas of materials science such as nonlinear optics, quantum electronics, and size/shape selective catalysis.

A Study of the Anchor Effect Based on Structural Parameters of Flexible Pressurized Anchor and Pressure from Surrounding Rock

2011 ◽  
Vol 71-78 ◽  
pp. 4634-4637
Author(s):  
Tian Lin Cui ◽  
Jing Kun Pi ◽  
Yong Hui Liu ◽  
Zhen Hua He
Keyword(s):  
Structural Parameters ◽  
Structural Features ◽  
Surrounding Rock ◽  
Design Parameters ◽  
Optimized Design ◽  
Anchor Effect ◽  
The Finite Element Method ◽  
Anchor System ◽  
New Type ◽  
Stress Relation

In order to optimize the design of flexible pressurized anchor, this paper gives a further analysis on structural features of the new type of flexible pressurized anchor and carries out a contact analysis on anchor system by using the finite element method. It calculates as well as researches the contact stress relation of interactional anchor rod and surrounding rock under the circumstance of anchoring, obtaining the law of all major design parameters of anchor rod structure and pressure from surrounding rock influencing the anchoring performance and arriving at the conclusion that the anchor rod is adapted to various conditions of surrounding rock. They not only serve as important references for optimized design and application of anchor rod, but also provide a basis for the experiment of new type of anchor rod.

QSAR AND PHARMACOPHORE MODELING OF 4-ARYLTHIENO [3, 2-d] PYRIMIDINE DERIVATIVES AGAINST ADENOSINE RECEPTOR OF PARKINSON'S DISEASE

2010 ◽  
Vol 09 (06) ◽  
pp. 975-991 ◽  
Author(s):  
SHIEK S. S. J. AHMED ◽  
A. AHAMEETHUNISA ◽  
WINKINS SANTOSH
Keyword(s):  
Structural Parameters ◽  
Pharmacophore Model ◽  
Structural Features ◽  
Pharmacophore Modeling ◽  
Hydrogen Bond Donor ◽  
Pyrimidine Derivatives ◽  
Antagonist Activity ◽  
Qsar Studies ◽  
Adenosine A1 ◽  
Adenosine A2a

A series of 47, 4-arylthieno[3, 2-d] pyrimidine derivatives was subjected to quantitative structure-antiparkinson activity relationships (QSAR) studies to evaluate the antagonist activity towards both adenosine A1 and adenosine A2A targets in Parkinson's drug discovery. QSAR models were derived with the aid of genetic function approximation (GFA) technique using descriptors to make connections between structural parameters and antiparkinson's activity followed by ADMET analysis and pharmacophore model generation. QSAR model was assessed using a test set of 12 compounds for A1 (r2 pred = 0.961), (q2 = 0.912) and 12 compounds for A2a (r2 pred = 0.914), (q2 = 0.781) receptor. The results revealed the significant role of DIPOLE MAG, CHI-V-3-P, WIENER, AREA, SC-2 and PHI-MAG descriptors in the antiparkinson activity of the studied compounds against adenosine A1 and adenosine A2A receptors. Subsequent, ADMET analysis shows 28 compounds can be the better candidates of drug and execution of pharmacophore model, explores the hydrogen bond donor, aromatic ring and hydrophobic groups are the key structural features for the antagonist activity.

scholarly journals Inverse Design of Nanoporous Crystalline Reticular Materials with Deep Generative Models

2020 ◽  
Author(s):  
Zhenpeng Yao ◽  
Benjamin Sanchez-Lengeling ◽  
N. Scott Bobbitt ◽  
Benjamin J. Bucior ◽  
Sai Govind Hari Kumar ◽  
...  
Keyword(s):  
Self Assembly ◽  
Metal Organic Framework ◽  
Internal Surface ◽  
Building Blocks ◽  
Structural Features ◽  
Generative Models ◽  
Combinatorial Design ◽  
Surface Areas ◽  
Molecular Building Blocks ◽  
Metal Organic

Reticular frameworks are crystalline porous materials that form <i>via</i> the self-assembly of molecular building blocks (<i>i.e.</i>, nodes and linkers) in different topologies. Many of them have high internal surface areas and other desirable properties for gas storage, separation, and other applications. The notable variety of the possible building blocks and the diverse ways they can be assembled endow reticular frameworks with a near-infinite combinatorial design space, making reticular chemistry both promising and challenging for prospective materials design. Here, we propose an automated nanoporous materials discovery platform powered by a supramolecular variational autoencoder (SmVAE) for the generative design of reticular materials with desired functions. We demonstrate the automated design process with a class of metal-organic framework (MOF) structures and the goal of separating CO<sub>2</sub> from natural gas or flue gas. Our model exhibits high fidelity in capturing structural features and reconstructing MOF structures. We show that the autoencoder has a promising optimization capability when jointly trained with multiple top adsorbent candidates identified for superior gas separation. MOFs discovered here are strongly competitive against some of the best-performing MOFs/zeolites ever reported. This platform lays the groundwork for the design of reticular frameworks for desired applications.

scholarly journals Lipophilicity and Click Reactivity Determine the Performance of Bioorthogonal Tetrazine Tools in Pretargeted in Vivo Chemistry

2020 ◽  
Author(s):  
Johanna Stéen ◽  
Jesper Tranekjær Jørgensen ◽  
Denk Christoph ◽  
Umberto Maria Battisti ◽  
Kamilla Nørregaard ◽  
...  
Keyword(s):  
Targeted Delivery ◽  
Rational Design ◽  
Structural Parameters ◽  
Early Time ◽  
High Rate ◽  
Drug Conjugates ◽  
Compound Libraries ◽  
Drug Concentrations ◽  
The Impact

<p>The development of highly selective and fast biocompatible reactions for ligation and cleavage has paved the way for new diagnostic and therapeutic applications of <i>in vivo</i> chemistry. The concept of bioorthogonal pretargeting has attracted considerable interest, in particular for the targeted delivery of radionuclides and drugs. In nuclear medicine, pretargeting can provide increased target-to-background ratios at early time-points compared to traditional approaches. This reduces the radiation burden to healthy tissue and, depending on the selected radionuclide, enables better imaging contrast or higher therapeutic efficiency. Moreover, bioorthogonally triggered cleavage of pretargeted antibody-drug conjugates represents an emerging strategy to achieve controlled release and locally increased drug concentrations. The toolbox of bioorthogonal reactions has significantly expanded in the past decade, with the tetrazine ligation being the fastest and one of the most versatile <i>in vivo</i> chemistries. Progress in the field, however, relies heavily on the development and evaluation of (radio)labeled compounds, preventing the use of compound libraries for systematic studies. The rational design of tetrazine probes and triggers has thus been impeded by the limited understanding of the impact of structural parameters on the <i>in vivo</i> ligation performance. In this work, we describe the development of a pretargeted blocking assay that allows for the investigation of the <i>in vivo</i> fate of a structurally diverse library of 45 unlabeled tetrazines and their capability to reach and react with pretargeted <i>trans</i>-cyclooctene (TCO)-tagged antibodies in tumor-bearing mice. This study enabled us to assess the correlation of click reactivity and lipophilicity of tetrazines with their <i>in vivo</i> performance. In particular, high rate constants (>50,000 M<sup>-1</sup>s<sup>-1</sup>) for the reaction with TCO and low calculated log<i>D</i><sub>7.4</sub> values (below -3) of the tetrazine were identified as strong indicators for successful pretargeted <i>in vivo</i> click chemistry. Click-radiolabeling gave access to a set of selected <sup>18</sup>F-labeled tetrazines, including highly reactive scaffolds, which were used in pretargeted PET imaging studies to confirm the results from the blocking study. These insights thus enable the rational design of tetrazine probes for <i>in vivo</i> application and will thereby assist the clinical translation of bioorthogonal pretargeting.</p>

scholarly journals Inverse Design of Nanoporous Crystalline Reticular Materials with Deep Generative Models

2020 ◽  
Author(s):  
Zhenpeng Yao ◽  
Benjamin Sanchez-Lengeling ◽  
N. Scott Bobbitt ◽  
Benjamin J. Bucior ◽  
Sai Govind Hari Kumar ◽  
...  
Keyword(s):  
Self Assembly ◽  
Metal Organic Framework ◽  
Internal Surface ◽  
Building Blocks ◽  
Structural Features ◽  
Generative Models ◽  
Combinatorial Design ◽  
Surface Areas ◽  
Molecular Building Blocks ◽  
Metal Organic

Reticular frameworks are crystalline porous materials that form <i>via</i> the self-assembly of molecular building blocks (<i>i.e.</i>, nodes and linkers) in different topologies. Many of them have high internal surface areas and other desirable properties for gas storage, separation, and other applications. The notable variety of the possible building blocks and the diverse ways they can be assembled endow reticular frameworks with a near-infinite combinatorial design space, making reticular chemistry both promising and challenging for prospective materials design. Here, we propose an automated nanoporous materials discovery platform powered by a supramolecular variational autoencoder (SmVAE) for the generative design of reticular materials with desired functions. We demonstrate the automated design process with a class of metal-organic framework (MOF) structures and the goal of separating CO<sub>2</sub> from natural gas or flue gas. Our model exhibits high fidelity in capturing structural features and reconstructing MOF structures. We show that the autoencoder has a promising optimization capability when jointly trained with multiple top adsorbent candidates identified for superior gas separation. MOFs discovered here are strongly competitive against some of the best-performing MOFs/zeolites ever reported. This platform lays the groundwork for the design of reticular frameworks for desired applications.

scholarly journals Avian Pattern Recognition Receptor Sensing and Signaling

2020 ◽  
Vol 7 (1) ◽  
pp. 14 ◽  
Author(s):  
Sabari Nath Neerukonda ◽  
Upendra Katneni
Keyword(s):  
Pattern Recognition ◽  
Rational Design ◽  
Animal Species ◽  
Critical Role ◽  
Functional Characterization ◽  
Structural Features ◽  
Present Review ◽  
Vaccine Adjuvants ◽  
Microbial Defense ◽  
Recognition Receptor

Pattern recognition receptors (PRRs) are a class of immune sensors that play a critical role in detecting and responding to several conserved patterns of microorganisms. As such, they play a major role in the maintenance of immune homeostasis and anti-microbial defense. Fundamental knowledge pertaining to the discovery of PRR functions and their ligands continue to advance the understanding of immune system and disease resistance, which led to the rational design and/or application of various PRR ligands as vaccine adjuvants. In addition, the conserved nature of many PRRs throughout the animal kingdom has enabled the utilization of the comparative genomics approach in PRR identification and the study of evolution, structural features, and functions in many animal species including avian. In the present review, we focused on PRR sensing and signaling functions in the avian species, domestic chicken, mallard, and domestic goose. In addition to summarizing recent advances in the understanding of avian PRR functions, the present review utilized a comparative biology approach to identify additional PRRs, whose functions have been well studied in mammalians but await functional characterization in avian.

Cushioning properties of weft-knitted spacer fabrics

2017 ◽  
Vol 88 (14) ◽  
pp. 1628-1640 ◽  
Author(s):  
Tong Zhao ◽  
Hairu Long ◽  
Tianqi Yang ◽  
Yanping Liu
Keyword(s):  
Human Body ◽  
Structural Parameters ◽  
Testing Machine ◽  
Three Dimensional ◽  
Structural Features ◽  
Practical Significance ◽  
Absorption Energy ◽  
Yarn Diameter ◽  
Spacer Fabrics ◽  
Compression Resistance

Three-dimensional spacer fabrics which have a sandwich structure are formed in a single knitting process without any additional joining treatment. They consist of two separate multifilament outer layers connected by arrays of spacer monofilaments. This paper presents an experimental study on the relationships between the cushioning properties and structural parameters of weft-knitted spacer fabrics in order to lay a foundation for the development of seamless shaped impact protectors for human body impact protection. Sixteen spacer fabrics of different structural parameters were knitted on a computerized flat knitting machine and tested on a universal mechanical testing machine. The cushioning properties of the spacer fabrics were analyzed in terms of their structural features, compression stress–strain curves, energy absorption, and compression resilience. It was found that multifilament fineness, spacer yarn diameter, and spacer yarn pattern should be matching in order to form effective binding structures between the outer layers and spacer monofilaments. The results also showed that spacer fabrics knitted with a shorter spacer yarn span distance, coarser monofilaments, and higher spacer yarn density have better compression resistance and absorption energy but inferior compression resilience if their binding structures are effective. This study has practical significance in promoting the application of this type of fabric as a cushion material for human body protection.

scholarly journals The influence of the chelating/combustion agents on the structure and magnetic properties of zinc ferrite

2012 ◽  
Vol 10 (6) ◽  
pp. 1799-1807 ◽  
Author(s):  
Tamara Slatineanu ◽  
Eliano Diana ◽  
Valentin Nica ◽  
Victor Oancea ◽  
Ovidiu Caltun ◽  
...  
Keyword(s):  
Magnetic Properties ◽  
Zinc Ferrite ◽  
Structural Parameters ◽  
Sol Gel ◽  
Magnetic Behavior ◽  
Combustion Method ◽  
Structural Features ◽  
Lattice Parameter ◽  
Zn Ferrite ◽  
Auto Combustion

AbstractThe present study is reporting the influence of the chelating/combustion agents on the magnetic properties of Zn ferrite. Six chelating/combustion agents, citric acid, egg white, tartaric acid, glycine, glucose and urea, were used to obtain monophase zinc nanoferrite via a sol-gel auto-combustion method. The samples were subjected to a comparative study of structural features and magnetic properties by means of infrared spectroscopy, X-ray diffractometry, scanning electron microscopy and vibrating sample magnetometry. Significant influence of fuel and combustion mode was observed in the magnetic behavior of as-obtained samples. Values of the structural parameters were discovered to vary as a function of fuel choice, and to obtain crystallite size between 38 and 62 nm, inversion degree between 0.239 and 0.807, lattice parameter between 8.4125 and 8.4432 Å. The optimization of sol-gel method synthesis of zinc ferrite nanoparticles by chosing the appropriate fuel is providing structural and magnetic properties of zinc nanoferrite as potential materials to be used in biomedical applications.

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