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  • GBV  (37)
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  • 1
    UID:
    (DE-627)743807650
    Format: X, 184 S. , Ill., graph. Darst. , 21 cm
    Edition: 1. Aufl.
    ISBN: 9783868445220
    Series Statement: IPAT-Schriftenreihe 10
    Note: Zugl.: Braunschweig, Techn. Univ., Diss., 2012 , Zsfassung in dt. Sprache
    Language: English
    Keywords: Nanopartikel ; Agglomerieren ; Prozessführung ; Teilchentechnologie ; Dispergierung ; Mechanische Eigenschaft ; Hochschulschrift
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  • 2
    UID:
    (DE-627)507937287
    Format: VII, 220 S , Ill., graph. Darst , 30 cm, 800 gr.
    ISBN: 9783899581492 , 3899581490
    Series Statement: Schriftenreihe Bauwerkserhaltung und Holzbau 1
    Note: Auch im Internet unter der Adresse www.upress.uni-kassel.de verfügbar , Zugl.: Kassel, Univ., Diss., 2005
    Language: German
    Keywords: Stahlbetonbauteil ; Lamelle ; Kohlenstofffaserverstärkter Kunststoff ; Kleben ; Verbundverhalten ; Rissausbreitung ; Hochschulschrift
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  • 3
    UID:
    (DE-627)1832482030
    Format: 1 Online-Ressource (21 Seiten)
    ISSN: 2073-4360
    Content: Nanoparticle-polymer hybrids are becoming increasingly important because seemingly contrasting properties, such as mechanical stability and high elasticity, can be combined into one material. In particular, hybrids made of self-assembled polymers are of growing interest since they exhibit high structural precision and diversity and the subsequent reorganization of the nanoparticles is possible. In this work, we show, for the first time, how hybrids of silica nanoparticles and self-assembled vesicles of polystyrene-block-polyacrylic acid can be prepared using the simple and inexpensive method of co-precipitation, highlighting in particular the challenges of using silica instead of other previously well-researched materials, such as gold. The aim was to investigate the influence of the type of modification and the particle size of the silica nanoparticles on the encapsulation and structure of the polymer vesicles. For this purpose, we first needed to adjust the surface properties of the nanoparticles, which we achieved with a two-step modification procedure using APTES and carboxylic acids of different chain lengths. We found that silica nanoparticles modified only with APTES could be successfully encapsulated, while those modified with APTES and decanoic acid resulted in vesicle agglomeration and poor encapsulation due to their strong hydrophobicity. In contrast, no negative effects were observed when different particle sizes (20 nm and 45 nm) were examined.
    In: Polymers : Special Issue Advanced Polymers and Composites: New Functionalities and Sustainability, 15 (2023) 2, 444, 2073-4360
    Language: English
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  • 4
    UID:
    (DE-627)1810189381
    Format: 1 Online-Ressource (15 Seiten)
    ISSN: 2073-4352
    Content: Because of their high volumetric catalytic activity, in addition to their high chemical and thermal resistances, enzymes in the form of protein crystals are an excellent choice for application as immobilized biocatalysts. However, mechanical stability is a requirement for the processability of immobilisates, in addition to the protein crystals retaining their enzymatic activity, and this is closely related to the crystal structure. In this study, the influence of protein engineering on the mechanical stability of cross-linked enzyme crystals (CLECs) was investigated using a genetically modified model protein in which additionally cysteines were introduced on the protein surface for targeted cross-linking. The results showed that the mechanical stability of crystals of the mutant proteins in the native form was decreased compared to native wild-type crystals. However, specific cross-linking of the introduced amino acid residues in the mutant proteins resulted in their increased mechanical stability compared to wild-type CLECs. In order to determine the correlation between the crystal structure and the resulting mechanical properties of CLECs to enable targeted cross-linking, a previously developed model was revised and then used for the two model proteins. This model can explain the mechanically investigated relationships, such as the anisotropic crystal behavior and the influence of a linker or mutation on the micromechanical properties and, hence, can be helpful for the tailor-made production of CLECs.
    In: Polymers, 12 (2022) 4, 441, 2073-4352
    Language: English
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  • 5
    UID:
    (DE-627)1735384437
    Format: 1 Online-Ressource
    Content: Nanoparticles significantly alter the rheological properties of a polymer or monomeric resin with major effect on the further processing of the materials. In this matter, especially the influence of particle material and disperse properties on the viscosity is not yet understood fully, but can only be modelled to some extent empirically after extensive experimental effort. In this paper, a numerical study on an uncured monomeric epoxy resin, which is filled with boehmite nanoparticles, is presented to elucidate the working principles, which govern the rheological behavior of nanoparticulate suspensions and to simulate the suspension viscosity based on assessable material and system properties. To account for the effect of particle surface forces and hydrodynamic interactions on the rheological behavior, a resolved CFD is coupled with DEM. It can be shown that the particle interactions caused by surface forces induce velocity differences between the particles and their surrounding fluid, which result in increased drag forces and cause the additional energy dissipation during shearing. The paper points out the limits of the used simulation method and presents a correction technique with respect to the Péclet number, which broadens the range of applicability. Valuable information is gained for a future mechanistic modelling of nanoparticulate suspension viscosity by elucidating the interdependency between surface forces, shear rate and resulting drag forces on the particles.
    In: Materials, 2020, 13(19), 4288; https://doi.org/10.3390/ma13194288
    Language: English
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  • 6
    UID:
    (DE-627)1759874671
    Format: 1 Online-Ressource
    Edition: Online-Ausgabe
    Content: In recent years, the field of Artificial Intelligence (AI) is experiencing a boom, caused by recent breakthroughs in computing power, AI techniques, and software architectures. Among the many fields being impacted by this paradigm shift, process engineering has experienced the benefits caused by AI. However, the published methods and applications in process engineering are diverse, and there is still much unexploited potential. Herein, the goal of providing a systematic overview of the current state of AI and its applications in process engineering is discussed. Current applications are described and classified according to a broader systematic. Current techniques, types of AI as well as pre- and postprocessing will be examined similarly and assigned to the previously discussed applications. Given the importance of mechanistic models in process engineering as opposed to the pure black box nature of most of AI, reverse engineering strategies as well as hybrid modeling will be highlighted. Furthermore, a holistic strategy will be formulated for the application of the current state of AI in process engineering.
    In: Advanced Intelligent Systems, 2021, 2000261, DOI 10.1002/aisy.202000261
    Language: English
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  • 7
    UID:
    (DE-627)1827035013
    Format: 1 Online-Ressource (12 Seiten)
    ISSN: 2227-9717
    Content: Lithium-ion batteries are state of the art and, still, their performance is constantly improving. To increase the energy density and electric conductivity, electrodes are usually calendered. Hereby, a higher degree of compaction, while reducing structural damage, can be reached by heating the calendering rolls. For industrially relevant line speeds, it is however questionable whether the contact time between electrode and roll is sufficient to reach the full positive effect of the increased temperature. This study shows a numerical approach based on the discrete element method to simulate the heating behavior of electrodes before and during calendering using a typical NMC-622-cathode as a model structure. To improve the results of existing, more simplified discrete element method simulations, which neglect the heat transfer through the carbon black–binder matrix, an extension with heat transfer through the carbon black–binder matrix has been implemented. Considering process parameters, such as calender roll temperature and line speed, as well as electrode parameters, such as thickness and porosity, this model can provide an individual calculation of the heating behavior to evaluate the need for a preheating device. Specifically, this study provides an in depth analysis of the influence of the mass loading on the heating time. It becomes clear that preheating can be of great relevance especially for high mass loadings, as well as high line speeds, as the required heating time increases by 116% when the basis weight is increased by 50%.
    In: Processes, 10 (2022) 8, 1667, 2227-9717
    Language: English
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  • 8
    UID:
    (DE-627)1796393673
    Format: 1 Online-Ressource
    Content: The purpose of this work is to simulate the powder compaction of pharmaceutical materials at the microscopic scale in order to better understand the interplay of mechanical forces between particles, and to predict their compression profiles by controlling the microstructure. For this task, the new framework of multi-contact discrete element method (MC-DEM) was applied. In contrast to the conventional discrete element method (DEM), MC-DEM interactions between multiple contacts on the same particle are now explicitly taken into account. A new adhesive elastic-plastic multi-contact model invoking neighboring contact interaction was introduced and implemented. The uniaxial compaction of two microcrystalline cellulose grades (Avicel® PH 200 (FMC BioPolymer, Philadelphia, PA, USA) and Pharmacel® 102 (DFE Pharma, Nörten-Hardenberg, Germany) subjected to high confining conditions was studied. The objectives of these simulations were: (1) to investigate the micromechanical behavior; (2) to predict the macroscopic behavior; and (3) to develop a methodology for the calibration of the model parameters needed for the MC-DEM simulations. A two-stage calibration strategy was followed: first, the model parameters were directly measured at the micro-scale (particle level) and second, a meso-scale calibration was established between MC-DEM parameters and compression profiles of the pharmaceutical powders. The new MC-DEM framework could capture the main compressibility characteristics of pharmaceutical materials and could successfully provide predictions on compression profiles at high relative densities.
    In: Pharmaceutics, 2021, 13(12), 2194
    Language: English
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  • 9
    UID:
    (DE-627)1801741441
    Format: 172 Seiten , Illustrationen, Diagramme
    Note: Dissertation Technische Universität Carolo-Wilhelmina zu Braunschweig 2021 , Zusammenfassung in deutscher und englischer Sprache
    Additional Edition: Erscheint auch als Online-Ausgabe Linke, Stefan Mechanische Werkstoffeigenschaften von lasergeschmolzenem lunaren Regolith Braunschweig : Technische Universität Braunschweig, 2022
    Language: German
    Keywords: Hochschulschrift
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  • 10
    UID:
    (DE-627)1703086317
    Format: xxvii, 159 Seiten , Illustrationen, Diagramme
    Note: Dissertation Technische Universität Carolo-Wilhelmina zu Braunschweig 2020 , Zusammenfassung in englischer Sprache
    Additional Edition: Erscheint auch als Online-Ausgabe Lin, Nan Multiphysics modelling of electrochemical energy storage devices Braunschweig : Technische Universität Braunschweig, 2020
    Language: English
    Keywords: Akkumulator ; Hochschulschrift
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