Wood fibres can be used as reinforcement in plastics for load carrying purposes. Some advantages compared with conventional man-made fibres are that wood fibres come from a renewable resource, have high specific stiffness and strength, are generally less hazardous to health, biodegradable, and can be manufactured at low cost and high volumes. A clear disadvantage with cellulose-based materials for structural use is their dimensional instability in humid environments. The hygroelastic properties are of high importance in materials development of improved wood-fibre composites. This work deals with the stiffness and hygroexpansion of wood fibres for composite materials. The long-term aim is to design engineered wood fibre composites based on better basic knowledge of wood fibres. Mechanistic models have been used to link the fibrous microstructure with macroscopic composite engineering properties. The properties have been characterized experimentally for various wood-fibre composites and their fibre-mat preforms, by means of curvature measurements at various levels of relative humidity, as well as tensile and compressive tests. From these test results and microstructural characterization, the longitudinal Young’s modulus and transverse coefficient of hygroexpansion of wood fibres were identified by inverse modelling. Some effects of various pulp processes and fibre modifications on the elastic properties of the fibre were observed, illustrating how the mixed experimental-modelling approaches can be used in more efficient materials screening and selection. An improved micromechanical analysis for wood-fibre composites has been presented. The model is more appropriate to combine with laminate analogy, to link fibre properties on the microscale to the macroscopic composite properties and vice versa. It also offers the possibility to include the effects of ultrastructure since it can account for an arbitrary number of phases. An approach to model ultrastructure-fibre property relations has been demonstrated. It includes analytical modelling of multilayered cylindrical fibres as well as finite element modelling of fibres with irregular geometry characterized with microscopy. Both approaches are useful and could be combined with experiments to reveal insights that can pave way for a firmer link between the wood fibre ultrastructure and wood fibre properties. / QC 20100914

Establishing process-structure-property relationships is an important objective in the paradigm of materials design in order to reduce the time and cost needed to develop new materials. A method to link phase field (process-structure relations) and microstructure-sensitive finite element (structure-property relations) modeling is demonstrated for subsolvus polycrystalline IN100. A three-dimensional (3D) experimental dataset obtained by orientation imaging microscopy performed on serial sections is utilized to calibrate a phase field model and to calculate inputs for a finite element analysis. Simulated annealing of the dataset realized through phase field modeling results in a range of coarsened microstructures with varying grain size distributions that are each input into the finite element model. A rate dependent crystal plasticity constitutive model that captures the first order effects of grain size, precipitate size, and precipitate volume fraction on the mechanical response of IN100 at 650°C is used to simulate stress-strain behavior of the coarsened polycrystals. Model limitations and ideas for future work are discussed.

In the application as conductor materials, metals such as copper or aluminum represent the state of the art. This applies for example to high-voltage lines, motor windings or the infrastructure in cities. However, metals, and especially copper, are expensive and heavy. Graphene-based conductor materials (GCMs) represent a cost-competitive and highly conductive alternative to metallic conductors. GCMs are mechanically flexible, lightweight and corrosion-resistant. But in order to fully exploit the potential of their electrical conductivity, a systematic material optimization is required. In this thesis, the electrical conductivity of GCMs is investigated in simulations and experiments. Using a simplified model of a GCM, the theoretical maximum value of the conductivity is derived mathematically. Furthermore, the dependence of the conductivity on microscopic material parameters is quantified. For a deeper insight, finite element simulations are used to study more realistic as well as defective geometries. The meaningful modeling of physical parameters as statistical distributions requires structures with tens of thousands of graphene flakes. To this end, an efficient network model is designed and implemented. The network model is further used to compare results with the literature, to consider surface contacts and to perform an exemplary material evaluation. From the simulation results, specific guidelines for the production of highly conductive GCMs are derived. In order to validate the simulations and to evaluate the potential of GCMs experimentally, a process chain for the preparation of graphene films is set up. Liquid graphene or graphene oxide dispersions are chosen as the starting materials, since large amounts of graphene can be processed in this way. The sizes of the graphene flakes are varied via centrifugation. Hydriodic acid is employed and evaluated as a reducing agent, as is thermal treatment. Scanning electron microscopy, Raman microscopy and an eddy current measurement of the conductivity are used for material characterization. Two studies on the dependence of the electrical conductivity on microscopic parameters are experimentally realized. The results show good agreement with the prediction by the network model and thus support the previously established theoretical description. / In der Anwendung als Leitermaterialien werden nach dem Stand der Technik Metalle wie Kupfer oder Aluminium eingesetzt. Dies betrifft beispielsweise Hochspannungsleitungen, Motorwicklungen oder die Infrastruktur in Städten. Insbesondere im Fall von Kupfer handelt es sich um ein teures und schweres Material. Graphen-basierte Leitermaterialien (GCMs, engl. graphene-based conductor materials) stellen eine potentiell günstige und hoch leitfähige Alternative dar, die metallische Leiter ersetzen kann. GCMs sind mechanisch flexibel, wesentlich leichter als Metalle und korrosionsbeständig. Um das Potential ihrer elektrischen Leitfähigkeit voll auszuschöpfen bedarf es jedoch einer gezielten Materialoptimierung. In der vorliegenden Arbeit wird die elektrische Leitfähigkeit von GCMs systematisch in Simulationen und Experimenten untersucht. Mit einem vereinfachten Modell eines GCMs wird der theoretische Maximalwert der Leitfähigkeit mathematisch hergeleitet. Weiterhin wird die Abhängigkeit der Leitfähigkeit von mikroskopischen Materialparametern quantifiziert. In Finite Elemente Simulationen werden realistischere sowie defektbehaftete Geometrien betrachtet und die Erkenntnisse aus dem analytischen Modell erweitert. Die sinnvolle Modellierung von physikalischen Eingangsgrößen als statistische Verteilungen erfordert Strukturen mit mehreren Zehntausend Graphenplättchen. Zu diesem Zweck wird ein effizientes Netzwerkmodell konzeptioniert und implementiert. Mit dem Modell werden darüberhinaus Ergebnisse mit der Literatur verglichen, Oberflächenkontakte betrachtet und eine beispielhafte Materialbewertung durchgeführt. Weiterhin werden konkrete Richtlinien zur Herstellung von hochleitfähigen GCMs abgeleitet. Um die Simulationen zu validieren und das Potential von GCMs experimentell zu bewerten, wird eine Prozesskette zur Herstellung von Graphenfilmen aufgebaut. Dabei werden flüssige Graphen- oder Graphenoxiddispersionen als Ausgangsmaterial gewählt, da in dieser Art große Mengen Graphen verarbeitet werden können. Mittels Zentrifugierung werden die Größen der Graphenplättchen variiert. Iodwasserstoffsäure wird als Reduktionsmittel eingesetzt und bewertet, ebenso wie eine thermische Materialbehandlung. Zur Materialcharakterisierung werden Rasterelektronenmikroskopie, Raman-Mikroskopie und eine Wirbelstrommessung der Leitfähigkeit eingesetzt. Zwei Studien zur Abhängigkeit der Leitfähigkeit von mikroskopischen Parametern werden experimentell realisiert. Die Ergebnisse zeigen gute Übereinstimmung zur Vorhersage durch das Netzwerkmodell und untermauern so die zuvor beschriebenen Wirkzusammenhänge.

A recently emerging engineering design approach entails studying the brilliant design solutions found in nature with an aim to develop design strategies that mimic the remarkable efficiency found in biological systems. This novel engineering approach is referred to as bio-inspired design. In this context, the present study quantifies the structure-property relations in bighorn sheep (Ovis canadensis) horn keratin, qualitatively characterizes the effects of a tapered spiral geometry (the same form as in a ram’s horn) on pressure wave and impulse mitigation, describes the stress attenuation capabilities and features of a ram’s head, and compares the structures and mechanical properties of some energy absorbent natural materials. The results and ideas presented herein can be used in the development of lightweight, energy absorbent, bio-inspired material designs. Among the most notable conclusions garnered from this research include: Horn keratin behaves in an anisotropic manner similar to a long fiber composite. Moisture content dominates the material behavior of horn keratin more than anisotropy, age, and stress-state. This makes moisture content the most influential parameter on the mechanical behavior of horn keratin. Tapered geometries mitigate the impulse generated by a stress wave due to the convergent boundary and a continually decreasing cross sectional area such that greater uniaxial stresses and subsequent axial deformation arises. Furthermore, the tapered geometry introduces small shear stresses that further decrease the impulse. Spiral geometries attenuate the impulse generated by a stress wave by the introduction of shear stresses along the length of the spiral. These shear stresses introduce transverse displacements that function to lessen the impulse. When both a taper and spiral geometry are used in a design, their synergistic effects multiplicatively reduce the impulse Tough natural materials have a high porosity, which makes them light-weight, while increasing their compressive energy absorption ability. Biomaterials whose functions include protection and energy absorption feature a multiscale, hierarchical, composite structure. The constituent materials are arranged in such ways to achieve a synergistic effect, where the properties of the composite exceed the properties of its constituents. Biological materials are therefore not confined to the law of mixtures.