Objective: Studies have demonstrates that physical properties of denture base affect patient satisfaction and acceptance. Thermal conductivity is among the most important properties of denture base influencing the sense of taste and gingival health. The conventionally used acrylic resin has a low coefficient of thermal conductivity. This study aimed to improve the thermal conductivity of acry...

Due to their unusual physicochemical properties (e.g., high thermal stability, low volatility, high intrinsic conductivity, wide electrochemical windows and good solvating ability), ionic liquids have shown immense application potential in many research areas. Applications of ionic liquid in developing various sensors, especially for the sensing of biomolecules, such as nucleic acids, proteins ...

This study examines the influence of radial thickness on the thermal conductivity of thin metallic wires. While size effects on the electrical conductivity of thin wires have been discussed in the literature, research into size effects on thermal conductivity still requires investigation. At such small length scales, the assumption that the reduced electrical conductivity can be simply related ...

thin bonded films have many applications in antireflection and reflection coating, insulating and conducting films and semiconductor industries. thermal conductivity is one of the most important parameter for power packaging since the thermal resistance of the interconnections is directly related to the heat removal capability and thermal management of the power package. the defects in material...

A simple and popular Bridgman's model predicts a linear correlation between the thermal conductivity coefficient sound velocity of dense liquids. proportionality proposed originally is fixed independent liquid molecular structure. This work reports systematic analysis correlations in systems (hard sphere Lennard-Jones fluids), monoatomic liquids (argon krypton), diatomic (nitrogen oxygen), seve...

objective(s): this study aims to evaluate and predict the thermal conductivity of iron oxide nanofluid at different temperatures and volume fractions by artificial neural network (ann) and correlation using experimental data. methods: two-layer perceptron feedforward artificial neural network and backpropagation levenberg-marquardt (bp-lm) training algorithm are used to predict the thermal cond...

Common heat transfer fluids such as water, ethylene glycol, and engine oil have limited heat transfer capabilities due to their low heat transfer properties. Nanofluids are suspensions of nanoparticles in base fluids, a new challenge for thermal sciences provided by nanotechnology. In this study, we are to optimize and report the effects of various parameters such as the ratio of the thermal co...

Ionic liquids have been suggested as new engineering fluids, specifically in the area of heat transfer, and alternatives to current biphenyl diphenyl oxide, alkylated aromatics dimethyl polysiloxane oils, which degrade above 200 °C, posing some environmental problems. Addition nanoparticles produce stable dispersions/gels ionic has proved increase thermal conductivity base liquid, potentially c...