In this research, the effect of wood species and particle size on mechanicalproperties of wood plastic composites (WPC) made of fir (Abies alba) and beech(Fagus orientalis L.) sawdust and high density polyethylene (HDPE) wereinvestigated. Wood plastic composite (WPC) were made with 30% HDPE in abatch process at 185˚C, at two particle sizes of 40 mesh and 80 mesh. Maleicanhydride polypropylene (...

Interfacial strength between polymeric matrix and natural filler reinforcement has direct effects on the properties of wood plastic composites. There are some approaches to improve the interfacial adhesion between two phases in wood plastic composites. One of them is using coupling agents to improve the composite properties. In this study, the effect of maleic anhydride as a coupling agent on t...

agent technology is an emerging and promising research area in software technology, which increasingly contributes to the development of value-added information systems for large healthcare organizations due to its capability to automatically modify themselves in response to changes in their operating environment. multi agent system (mas) approach is the construction of a complex system as a se...

Distributed computing has become a complex ecosystem of protocols and services for managing computation and data. Distributed applications are becoming complex as well. Users, particularly in scientific fields, wish to deploy large numbers of applications with complex dependencies and a large appetite for both computation and data. How may such systems and applications be brought together? I pr...

Silane coupling agent generally use as improve the properties of white filler use in rubber compound for better dispersion. Also silane coupling agent reacts with organic filler & polymer chain as crosslink. Here in this research study the crosslink density & swelling phenomena of silane participate in vulcanization process with Nitrile rubber compound. Also show the comparisons of carbon fille...

The problem of self-tuning of coupling parameters in multi-agent systems is considered. Agent dynamics are described by a discrete-time double integrator with unknown input gain. Each agent locally tunes the strength of interaction with neighboring agents by using a normalized gradient algorithm (NGA). The tuning algorithm minimizes the square of the error between an individual agent’s state (v...