FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2470461937> ?p ?o ?g. }

• W2470461937 abstract "The various uses of fiber-reinforced composites, for example in the enclosures of planes, boats and cars, generates the demand for a detailed analysis of these materials. The final goal is to optimize fibrous materials by the means of “virtual material design”. New fibrous materials are virtually created as realizations of a stochastic model and evaluated with physical simulations. In that way, materials can be optimized for specific use cases, without constructing expensive prototypes or performing mechanical experiments. In order to design a practically fabricable material, the stochastic model is first adapted to an existing material and then slightly modified. The virtual reconstruction of the existing material requires a precise knowledge of the geometry of its microstructure. The first part of this thesis describes a fiber quantification method by the means of local measurements of the fiber radius and orientation. The combination of a sparse chord length transform and inertia moments leads to an efficient and precise new algorithm. It outperforms existing approaches with the possibility to treat different fiber radii within one sample, with high precision in continuous space and comparably fast computing time. This local quantification method can be directly applied on gray value images by adapting the directional distance transforms on gray values. In this work, several approaches of this kind are developed and evaluated. Further characterization of the fiber system requires a segmentation of each single fiber. Using basic morphological operators with specific structuring elements, it is possible to derive a probability for each pixel describing if the pixel belongs to a fiber core in a region without overlapping fibers. Tracking high probabilities leads to a partly reconstruction of the fiber cores in non crossing regions. These core parts are then reconnected over critical regions, if they fulfill certain conditions ensuring the affiliation to the same fiber. In the second part of this work, we develop a new stochastic model for dense systems of non overlapping fibers with a controllable level of bending. Existing approaches in the literature have at least one weakness in either achieving high volume fractions, producing non overlapping fibers, or controlling the bending or the orientation distribution. This gap can be bridged by our stochastic model, which operates in two steps. Firstly, a random walk with the multivariate von Mises-Fisher orientation distribution defines bent fibers. Secondly, a force-biased packing approach arranges them in a non overlapping configuration. Furthermore, we provide the estimation of all parameters needed for the fitting of this model to a real microstructure. Finally, we simulate the macroscopic behavior of different microstructures to derive their mechanical and thermal properties. This part is mostly supported by existing software and serves as a summary of physical simulation applied to random fiber systems. The application on a glass fiber reinforced polymer proves the quality of the reconstruction by our stochastic model, as the effective properties match for both the real microstructure and the realizations of the fitted model. This thesis includes all steps to successfully perform virtual material design on various data sets. With novel and efficient algorithms it contributes to the science of analysis and modeling of fiber reinforced materials." @default.
• W2470461937 created "2016-07-22" @default.
• W2470461937 creator A5088980812 @default.
• W2470461937 date "2011-01-01" @default.
• W2470461937 modified "2023-09-23" @default.
• W2470461937 title "3D Morphological Analysis and Modeling of Random Fiber Networks" @default.
• W2470461937 hasPublicationYear "2011" @default.
• W2470461937 type Work @default.
• W2470461937 sameAs 2470461937 @default.
• W2470461937 citedByCount "1" @default.
• W2470461937 countsByYear W24704619372018 @default.
• W2470461937 crossrefType "journal-article" @default.
• W2470461937 hasAuthorship W2470461937A5088980812 @default.
• W2470461937 hasConcept C10138342 @default.
• W2470461937 hasConcept C11413529 @default.
• W2470461937 hasConcept C120314980 @default.
• W2470461937 hasConcept C154945302 @default.
• W2470461937 hasConcept C159985019 @default.
• W2470461937 hasConcept C160633673 @default.
• W2470461937 hasConcept C162324750 @default.
• W2470461937 hasConcept C16345878 @default.
• W2470461937 hasConcept C192562407 @default.
• W2470461937 hasConcept C194147245 @default.
• W2470461937 hasConcept C2524010 @default.
• W2470461937 hasConcept C2775945657 @default.
• W2470461937 hasConcept C33923547 @default.
• W2470461937 hasConcept C41008148 @default.
• W2470461937 hasConcept C519885992 @default.
• W2470461937 hasConcept C89600930 @default.
• W2470461937 hasConceptScore W2470461937C10138342 @default.
• W2470461937 hasConceptScore W2470461937C11413529 @default.
• W2470461937 hasConceptScore W2470461937C120314980 @default.
• W2470461937 hasConceptScore W2470461937C154945302 @default.
• W2470461937 hasConceptScore W2470461937C159985019 @default.
• W2470461937 hasConceptScore W2470461937C160633673 @default.
• W2470461937 hasConceptScore W2470461937C162324750 @default.
• W2470461937 hasConceptScore W2470461937C16345878 @default.
• W2470461937 hasConceptScore W2470461937C192562407 @default.
• W2470461937 hasConceptScore W2470461937C194147245 @default.
• W2470461937 hasConceptScore W2470461937C2524010 @default.
• W2470461937 hasConceptScore W2470461937C2775945657 @default.
• W2470461937 hasConceptScore W2470461937C33923547 @default.
• W2470461937 hasConceptScore W2470461937C41008148 @default.
• W2470461937 hasConceptScore W2470461937C519885992 @default.
• W2470461937 hasConceptScore W2470461937C89600930 @default.
• W2470461937 hasLocation W24704619371 @default.
• W2470461937 hasOpenAccess W2470461937 @default.
• W2470461937 hasPrimaryLocation W24704619371 @default.
• W2470461937 hasRelatedWork W149538096 @default.
• W2470461937 hasRelatedWork W1981443482 @default.
• W2470461937 hasRelatedWork W2069309030 @default.
• W2470461937 hasRelatedWork W2092470473 @default.
• W2470461937 hasRelatedWork W2097925802 @default.
• W2470461937 hasRelatedWork W2340114912 @default.
• W2470461937 hasRelatedWork W2340563262 @default.
• W2470461937 hasRelatedWork W2508879352 @default.
• W2470461937 hasRelatedWork W2736385042 @default.
• W2470461937 hasRelatedWork W2752637593 @default.
• W2470461937 hasRelatedWork W2793266994 @default.
• W2470461937 hasRelatedWork W2890979965 @default.
• W2470461937 hasRelatedWork W2899526084 @default.
• W2470461937 hasRelatedWork W2917919587 @default.
• W2470461937 hasRelatedWork W2933191811 @default.
• W2470461937 hasRelatedWork W3026830704 @default.
• W2470461937 hasRelatedWork W3128532963 @default.
• W2470461937 hasRelatedWork W3139669748 @default.
• W2470461937 hasRelatedWork W3155776246 @default.
• W2470461937 hasRelatedWork W2926917250 @default.
• W2470461937 isParatext "false" @default.
• W2470461937 isRetracted "false" @default.
• W2470461937 magId "2470461937" @default.
• W2470461937 workType "article" @default.