Sentence examples for maximization of heat from inspiring English sources

Thermal performance concept includes maximization of heat transfer coefficient and minimization of friction factor.

The optimization analysis has been demonstrated for the maximization of heat transfer through an annular step porous fin (ASPF) under a design constraint of mass of a fin.

Inverse problem solutions on the maximization of heat transfer rate are addressed, respectively regarding of thermal Rayleigh number, partitions location, partitions width, partitions total-length and thermal conductivity ratio.

Minimizing total annual cost and the total weight of heat exchanger as well as minimization of total pressure drop and maximization of heat exchanger effectiveness for specific heat duty requirement are considered as objective functions.

Considerations in the development of the enhanced, three dimensional 1EHT enhanced heat transfer surfaces include: maximization of heat transfer; minimization of operating costs; and/or a minimization of the rate of surface fouling.

This work proposes to present the complete cycle development of an optimized heat sink designed by using Topology Optimization Method (TOM) for best performance, including minimization of pressure drop in fluid flow and maximization of heat dissipation effects, aiming small scale applications.

The proposed method is tested with 3 numerical examples concerning thermal fluid flows, but with different objectives: minimization of the mean temperature in the domain, maximization of the heat evacuated by the fluid, and maximization of the heat exchange with heated solid parts.

Maximization of the heat exchanger exergy efficiency was considered as the optimization objective to achieve an energy efficient design goal.

Among them, air feeding conditions are really decisive if the objective function is the maximization of the heat recovered from flue gases.

Maximization of overall heat transfer coefficient and minimization of total pressure drop considered simultaneously as objective functions during multi-objective optimization.

Specifically, we considered maximization of the heat load (design parameter) and supply temperatures of CRAC (operating parameter) in the data centre subject to the constraints that: (1) servers are kept at appropriate temperatures and (2) overloading of CRACs is avoided.