Adjusting operating temperature of the engine in the steady state and during warm-up improves fuel consumption and reduces engine emission through higher operating temperatures. Also it can improve thermal comfort by faster cabin heater performance. Thermal fluid analysis by 1-D simulation is an effective tool for studying the control of the entire cooling system and optimization of engine perf...

In anurans, changes in ambient temperature influence body temperature and, therefore, energy consumption. These changes ultimately affect energy supply and, consequently, heart rate (HR). Typically, anurans living in different thermal environments have different thermal sensitivities, and these cannot be distinguished by changes in HR. We hypothesized that Rhinella jimi (a toad from a xeric env...

Current rapid development in MEMS area has opened up many possibilities in nano-technology such as nano-fabrication. Among them is nanoscale wiring by both AFM (Atomic Force Microscope) tip and laser beam. Being able to make a relatively small deflection, a micro thermal actuator can be used to control the near field optics of the beam minutely and accurately. In this project, we will investiga...

Most materials expand upon heating. However, although rare, some materials contract upon heating. Such negative thermal expansion (NTE) materials have enormous industrial merit because they can control the thermal expansion of materials. Recent progress in materials research enables us to obtain materials exhibiting negative coefficients of linear thermal expansion over -30 ppm K-1. Such giant ...

This work presents a new method for controlling fuel and air fed boiler of thermal power plant using Fuzzy logic. The control strategy is based on supervisor level using Fuzzy logic that is required to determine automatically the optimal process set points of regulations level. Besides, this paper describes thermal power plant simulator developed by Matlab-Simulink. Key-Words: Thermal power pla...

An adaptive neural network control scheme for thermal power system is described. No off-line training is required for the proposed neural network controller. The online tuning algorithm and neural network architecture are described. The performance of the controller is illustrated via simulation for different changes in process parameters. Performance of neural network controller is compared wi...