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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Dvouvrstvý koberec drenážní s asfaltem modifikovaným pryžovým granulátem / Double Layer Porous Asphalt with Aspahlt-rubber Binder

Klimeš, Petr January 2012 (has links)
The possibilities of double layer porous asphalt usage and rules for design of porous asphalt mixtures are introduced in this work. The porous asphalt mixtures PA 8, PA 11 and PA 16 are designed with different content of asphalt-rubber according to Marshall Test method. The water sensitivity, drainability, particle loss of these PA are determined. The permanent deformation and drainability of double layer PA 8 and PA 11 were also determined. The possibility of usage of this double layer porous asphalt with expected decreasing of traffic noise was proved.
12

Porovnání švédského a amerického konceptu návrhu směsí s CRmB / Swedish and US AR mixture design comparison

Puda, Adam January 2015 (has links)
This master's theseis deals with comparison of two design concepts for producting asphalt mixture with CRmB. These design concepts are from Sweden and USA. The theoretical part sets parameters for design of asphalt mixture and chracteristic tests. In the practical part test speciements of design asphatl mixture undergo performace tests that simulate climate and traffic load. Results are compared to mathematical model used in program LayEps.
13

Vliv obsahu pojiva na vlastnosti asfaltové směsi s CRmB / The influence of bitumen content on properties of asphalt mixture with CRmB

Sychra, Martin January 2016 (has links)
The asphalt mixture BBTM 5 A with crumb rubber modified bitumen (CRmB) is designed and produced in the diploma thesis. The influence of CRmB content on low temperature properties, stiffness and fatigue of asphalt mixture BBTM 5 A is determined. The influence of asphalt mixture ageing simulation on change of low temperature properties is also evaluated.
14

Customized ceramic granules for laser powder bed fusion of aluminum oxide

Pfeiffer, Stefan 04 August 2022 (has links)
Die Implementierung von Laser Powder Bed Fusion bei Aluminiumoxidkeramiken ist aufgrund einer geringen Temperaturwechselbeständigkeit, Bauteilverdichtung, Pulverfließfähigkeit und Lichtabsorption eine große Herausforderung. In dieser Arbeit wurden diese Prob-leme mit unterschiedlichen Ansätzen adressiert. Sprühgetrocknete Aluminiumoxid Granulate wurde zur Verbesserung der Laserabsorption (über 80 % Verbesserung) mit farbigen Nano-Oxidpartikeln dotiert. Es wurden verschiedene Partikelpackungstheorien und Pulverbehand-lungen getestet, um die Pulverbettdichte und damit die Dichte des endgültigen Bauteils (Dichten bis zu 98,6 %) zu erhöhen. Die Pulverqualität wurde durch Schütt und Rütteldichte, Feuchtigkeitsgehalt, Partikelgrößenverteilung, Hausner-Verhältnis, Lawinenwinkel und Oberflächenfraktal charakterisiert. Des Weiteren wurde der Zusatz geeigneter Stoffe zur Verringerung der Rissbildung durch thermische Spannungen getestet. Die In-situ-Bildung von Phasen mit geringer und negativer Wärmeausdehnung reduzierte die Rissbildung in den lasergefertigten Oxidkeramiken stark.:1 Introduction 1 1.1 Motivation 1 1.2 State of the art . 2 1.3 Aim of the project 2 2 Literature review 5 2.1 Additive manufacturing by laser powder bed fusion 5 2.1.1 Classification and process description 5 2.1.2 Advantages against other AM processes 9 2.1.3 Challenges of laser powder bed fusion 12 2.1.4 State of the art of laser powder bed fusion of aluminum oxide based ceramics 13 2.1.4.1 Powder bed preparation and impact on the process 13 2.1.4.2 Critical rating of the powder bed preparation techniques 17 2.1.4.3 Processing methods and properties 19 2.1.4.4 Part properties 26 2.2 Theoretical and experimental considerations for powder bed preparation 35 2.2.1 Spray granulation 35 2.2.2 Particle packing theories 39 2.3 Mechanisms for particle dispersing 41 2.3.1 DLVO-theory 41 2.3.2 Surface charge and electrical double layer 43 2.4 Conceptualization of new ideas for laser powder bed fusion of aluminum oxide 45 2.4.1 Densification, powder flowability and absorption issue 46 2.4.2 Reduction of crack formation 47 3 Doped spray-dried granules to solve densification and absorption issue in laser powder bed fusion of alumina 55 3.1 Dispersing of aluminum oxide, iron oxide and manganese oxide 55 3.1.1 Experimental 55 3.1.2 Particle characterization 57 3.1.3 Saturation amount evaluation of dispersant 59 3.1.4 Particle size distributions after dispersing 62 3.1.4.1 Particle size distributions of alumina powders 62 3.1.4.2 Particle size distribution of dopant 67 3.2 Packing density increase of spray-dried granules 76 3.2.1 Experimental 77 3.2.2 Influence of solid load and particle ratio on granules 83 3.2.3 Influence of dopant shape and multimodal distributions on granules 84 3.2.4 Evolution of pH-value during slurry preparation and slurry stability after mixing of all components 85 3.2.5 Influence of slurry viscosity on yield of granules 88 3.2.6 Addition of coarse alumina to spray-dried granules 89 3.2.7 Application of Andreasen model on mixtures of ceramic particles with spray-dried granules 94 3.2.8 Thermal pre-treatment of granules 98 3.2.9 Influence of surface tension of slurry on granule size and density 110 3.3 Investigation of laser manufactured parts 114 3.3.1 Experimental 115 3.3.2 Influence of different iron oxide dopants and multimodal particle distributions within granules 118 3.3.3 Influence of coarse alumina variation 121 3.3.4 Influence of thermal pre-treatment of powders 127 3.3.5 Grain structure of laser additive manufactured parts 135 3.3.6 Thermal expansion of laser processed parts 137 3.3.7 Influence of thermal pre-treatment and laser processing on manganese amount within granules and laser additive manufactured parts 138 4 Additives to reduce crack formation in selective laser melting and sintering of alumina 143 4.1 Experimental 144 4.2 Additives to reduce thermal stresses 150 4.2.1 Selective laser melting with mullite additives 150 4.2.2 Amorphous alumina formation by rare earth oxide doping 160 4.2.3 Formation of aluminum titanate by use of reduced titanium oxide 169 4.2.3.1 Dispersing of titanium oxide nanoparticles in water 170 4.2.3.2 Thermal treatment of Al2O3/TiO2 granules under argon/hydrogen atmosphere 172 4.2.3.3 Laser manufacturing of parts 178 4.2.4 In-situ formation of negative thermal expansion materials 187 4.2.4.1 Dispersing of zirconia and tungsten oxide nanoparticles 187 4.2.4.2 Influence of spray drying process parameters 191 4.2.4.3 Preparation of final powders for laser powder bed fusion 197 4.2.4.4 Laser manufacturing of layers and parts 200 4.3 Mechanical properties of laser processed parts 205 5 Flowability and inner structure of customized granules 209 5.1 Experimental 209 5.2 Comparison of flowability in terms of Hausner ratio, Avalanche angle and surface fractal measurements 211 5.2.1 Influence of coarse alumina AA18 variation 211 5.2.2 Influence of thermal pre-treatment of powders 213 5.2.3 Influence of dopant content within granules 216 5.2.4 Flowability of zirconia-tungsten oxide granules and alumina granules with mullite or rare earth oxide addition 219 5.2.5 Flowability of titanium oxide doped alumina powders 221 5.3 Cross sections of customized granules to image inner structure 224 6 Summary, conclusions and outlook 233 6.1 Summary and conclusions 233 6.2 Outlook 241 References 245 List of Figures 260 List of Tables 269 / The implementation of laser powder bed fusion of aluminum oxide ceramics is challenging due to a low thermal shock resistance, part densification, powder flowability and light absorptance. In this work, these challenges have been addressed by different approaches. Spray-dried alumina granules were doped with colored oxide nanoparticles to improve the laser absorption (improvement by over 80%). Different particle packing theories and powder treatments were tested to increase the powder bed density and therefore, the final part density (densities up to 98.6%). The powder quality was characterized by apparent and tapped density, moisture content, particle size distribution, Hausner ratio, avalanche angle and sur-face fractal. Furthermore, the addition of suitable was tested to reduce crack formation caused by thermal stresses. The in-situ formation of low and negative thermal expansion phases strongly reduced the crack formation in the laser manufactured oxide ceramic parts.:1 Introduction 1 1.1 Motivation 1 1.2 State of the art . 2 1.3 Aim of the project 2 2 Literature review 5 2.1 Additive manufacturing by laser powder bed fusion 5 2.1.1 Classification and process description 5 2.1.2 Advantages against other AM processes 9 2.1.3 Challenges of laser powder bed fusion 12 2.1.4 State of the art of laser powder bed fusion of aluminum oxide based ceramics 13 2.1.4.1 Powder bed preparation and impact on the process 13 2.1.4.2 Critical rating of the powder bed preparation techniques 17 2.1.4.3 Processing methods and properties 19 2.1.4.4 Part properties 26 2.2 Theoretical and experimental considerations for powder bed preparation 35 2.2.1 Spray granulation 35 2.2.2 Particle packing theories 39 2.3 Mechanisms for particle dispersing 41 2.3.1 DLVO-theory 41 2.3.2 Surface charge and electrical double layer 43 2.4 Conceptualization of new ideas for laser powder bed fusion of aluminum oxide 45 2.4.1 Densification, powder flowability and absorption issue 46 2.4.2 Reduction of crack formation 47 3 Doped spray-dried granules to solve densification and absorption issue in laser powder bed fusion of alumina 55 3.1 Dispersing of aluminum oxide, iron oxide and manganese oxide 55 3.1.1 Experimental 55 3.1.2 Particle characterization 57 3.1.3 Saturation amount evaluation of dispersant 59 3.1.4 Particle size distributions after dispersing 62 3.1.4.1 Particle size distributions of alumina powders 62 3.1.4.2 Particle size distribution of dopant 67 3.2 Packing density increase of spray-dried granules 76 3.2.1 Experimental 77 3.2.2 Influence of solid load and particle ratio on granules 83 3.2.3 Influence of dopant shape and multimodal distributions on granules 84 3.2.4 Evolution of pH-value during slurry preparation and slurry stability after mixing of all components 85 3.2.5 Influence of slurry viscosity on yield of granules 88 3.2.6 Addition of coarse alumina to spray-dried granules 89 3.2.7 Application of Andreasen model on mixtures of ceramic particles with spray-dried granules 94 3.2.8 Thermal pre-treatment of granules 98 3.2.9 Influence of surface tension of slurry on granule size and density 110 3.3 Investigation of laser manufactured parts 114 3.3.1 Experimental 115 3.3.2 Influence of different iron oxide dopants and multimodal particle distributions within granules 118 3.3.3 Influence of coarse alumina variation 121 3.3.4 Influence of thermal pre-treatment of powders 127 3.3.5 Grain structure of laser additive manufactured parts 135 3.3.6 Thermal expansion of laser processed parts 137 3.3.7 Influence of thermal pre-treatment and laser processing on manganese amount within granules and laser additive manufactured parts 138 4 Additives to reduce crack formation in selective laser melting and sintering of alumina 143 4.1 Experimental 144 4.2 Additives to reduce thermal stresses 150 4.2.1 Selective laser melting with mullite additives 150 4.2.2 Amorphous alumina formation by rare earth oxide doping 160 4.2.3 Formation of aluminum titanate by use of reduced titanium oxide 169 4.2.3.1 Dispersing of titanium oxide nanoparticles in water 170 4.2.3.2 Thermal treatment of Al2O3/TiO2 granules under argon/hydrogen atmosphere 172 4.2.3.3 Laser manufacturing of parts 178 4.2.4 In-situ formation of negative thermal expansion materials 187 4.2.4.1 Dispersing of zirconia and tungsten oxide nanoparticles 187 4.2.4.2 Influence of spray drying process parameters 191 4.2.4.3 Preparation of final powders for laser powder bed fusion 197 4.2.4.4 Laser manufacturing of layers and parts 200 4.3 Mechanical properties of laser processed parts 205 5 Flowability and inner structure of customized granules 209 5.1 Experimental 209 5.2 Comparison of flowability in terms of Hausner ratio, Avalanche angle and surface fractal measurements 211 5.2.1 Influence of coarse alumina AA18 variation 211 5.2.2 Influence of thermal pre-treatment of powders 213 5.2.3 Influence of dopant content within granules 216 5.2.4 Flowability of zirconia-tungsten oxide granules and alumina granules with mullite or rare earth oxide addition 219 5.2.5 Flowability of titanium oxide doped alumina powders 221 5.3 Cross sections of customized granules to image inner structure 224 6 Summary, conclusions and outlook 233 6.1 Summary and conclusions 233 6.2 Outlook 241 References 245 List of Figures 260 List of Tables 269
15

Snow depth measurements and predictions : Reducing environmental impact for artificial grass pitches at snowfall

Forsblom, Findlay, Ulvatne, Lars Petter January 2020 (has links)
Rubber granulates, used at artificial grass pitches, pose a threat to the environment when leaking into the nature. As the granulates leak to the environment through rain water and snow clearances, they can be transported by rivers and later on end up in the marine life. Therefore, reducing the snow clearances to its minimum is of importance. If the snow clearance problem is minimized or even eliminated, this will have a positive impact on the surrounding nature. The object of this project is to propose a method for deciding when to remove snow and automate the information dispersing upon clearing or closing a pitch. This includes finding low powered sensors to measure snow depth, find a machine learning model to predict upcoming snow levels and create an application with a clear and easy-to-use interface to present weather information and disperse information to the responsible persons. Controlled experiments is used to find the models and sensors that are suitable to solve this problem. The sensors are tested on a single snow quality, where ultrasonic and infrared sensors are found suitable. However, fabricated tests for newly fallen snow questioned the possibility of measuring snow depth using the ultrasonic sensor in the general case. Random Forest is presented as the machine learning model that predicts future snow levels with the highest accuracy. From a survey, indications is found that the web application fulfills the intended functionalities, with some improvements suggested.
16

Aggregation and Gelation in Random Networks / Aggregation und Gelation in zufälligen Netzwerken

Ulrich, Stephan 03 March 2010 (has links)
No description available.

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