background and aims. adding further fillers to dental resins may enhance their physical characteristics. the aim of this study was to evaluate the tensile strength of heat-curing acrylic resin reinforced by tio2 nanoparticles added into the resin matrix. materials and methods. commercially available tio2 nanoparticles were obtained and characterized using x-ray diffraction (xrd) and scanning ele...

The effects of particle size, volume fraction and matrix strength on the stress-controlled axial fatigue behavior and the probability of particle fracture were evaluated for 2124 aluminum alloy reinforced with SiC particles. Average particle sizes of 2, 5, 9 and 20/~m and volume fractions of 0.10, 0.20 and 0.35 were examined for four different microstructural conditions. Tensile and yield stren...

The present research focuses on the effects of aluminum (Al) and silicon carbide (SiC) hybridization mechanical morphological properties Al SiC particles reinforced hybrid epoxy composites. Composites were prepared by hand lay-up technique at five levels reinforcement loading (10, 20, 30, 40, 50 wt%). Aluminum powder utilized as a ratio (1:1) during composite preparation. Microstructural analys...

We present tournament results and several powerful strategies for the Iterated Prisoner's Dilemma created using reinforcement learning techniques (evolutionary and particle swarm algorithms). These strategies are trained to perform well against a corpus of over 170 distinct opponents, including many well-known and classic strategies. All the trained strategies win standard tournaments against t...

The Dutch robot soccer team Clockwork Orange is a research project of the Delft University of Technology and the University of Amsterdam. In this project we study multi-robot collaboration, robot vision and robot control. Our research focus, overviewed in this paper, is on automatic calibration for robust colour segmentation, behaviour based robotics, reinforcement trained dribbling with the ba...

Finding optimal controllers of stochastic systems is a particularly challenging problem tackled by the optimal control and reinforcement learning communities. A classic paradigm for handling such problems is provided by Markov Decision Processes. However, the resulting underlying optimization problem is difficult to solve. In this paper, we explore the possible use of Particle Swarm Optimizatio...

To study the method about structure layer of geocell reinforced with macadam, as well as effectiveness and practicality of such a method in foundation reinforcement during work progress of civil engineering; Method: Basic theory and method about foundation reinforcement structure applied in work process of civil engineering have been studied. Physical model of experimental tank built by loaded ...

The properties of metal matrix composites (MMCs) can be optimized effectively through adjusting the type or the volume fraction of reinforcement. Generally, the coefficient of thermal expansion (CTE) of MMCs can be reduced by increasing the volume fraction of the reinforcement with lower CTE than metal matrix. However, it is great challenge to fabricate low CTE MMCs with low reinforcement volum...

In this paper, we examine the application of Multi-Agent Reinforcement Learning (MARL) to a Dynamic Economic Emissions Dispatch problem. This is a multi-objective problem domain, where the conflicting objectives of fuel cost and emissions must be minimised. We evaluate the performance of several different MARL credit assignment structures in this domain, and our experimental results show that M...

hydroxyapatite is a biocompatible ceramic and reinforcement for bone implantations. seva/hap composite content hap filler with difference particle sizes were designed. mechanical tests like tensile modulus, uts, strain at break and biodegradation were investigated. results illustrated much increase tensile modulus of composites content hap nano powders ratio to micro powders. also uts analysis ...