By Prof. Chi Mei, Prof. Xiaoqi Peng, Prof. Ping Zhou, Prof. Jiemin Zhou, Prof. Naijun Zhou (auth.)
"Simulation and Optimization of Furnaces and Kilns for Nonferrous Metallurgical Engineering" is predicated on complicated theories and examine tools for fluid move, mass and warmth move, and gas combustion. It introduces a hologram simulation and optimization tools for fluid box, temperature box, focus box, and electro-magnetic box in several types of furnaces and kilns. sensible examples and an in depth creation to tools for simulation and optimization of advanced structures are integrated to boot. those new tools have introduced major financial advantages to the industries involved.
The publication is meant for researchers and technical specialists in metallurgical engineering, fabrics engineering, energy and thermal strength engineering, chemical engineering, and mechanical engineering.
Chi Mei, Jiemin Zhou, Xiaoqi Peng, Naijun Zhou and Ping Zhou are all professors in school of strength technological know-how and Engineering, critical South college, Changsha, Hunan Province, China.
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Generally, these equations can hardly be solved by analytical method but numerical simulation method. Knowing that the actual combustion processes in the FKNME applications are mostly in turbulence, we focus in this section the simulation of turbulent combustion, including gas phase and gas-particle two-phase combustions. The objective of combustion simulation is to gain better understanding about the temperatures, velocities, concentrations (species mass fraction) and heat release (chemical reaction rate) based on the conservation of mass, momentum and energy, and the rules governing the reaction rates as a function of temperature, pressure and reactant concentration.
To study combustion phenomena in the combustion devices, the heat effects caused by combustion (such as the distribution of temperature and heat flux) are mainly considered. Moreover, the influence of chemical reaction on flow is also caused by its heat effect. Therefore, “a simple chemical reaction system” is usually used to simulate complicated reaction dynamics processes. e. ΓF˙ΓO˙Γ˄ P subscripts F, O and P stand for fuel, oxidant and product respectively˅. 86) Obviously, if any two of the three species concentrations are available in this system, the third one can also be solved.
The LRN k-ε model can be numerically solved in the way same to solving the standard k-ε model, except that no more wall functions are necessary for determining the variables on the walls. Instead, one needs to arrange 20 to 30 mesh points along the direction vertical to the wall. That is why sometimes LRN models are called as “direct approach for wall boundaries”. However, the large demand of computation in the vicinity of the walls brings a lot of difficulty to numerical convergence, which accounts for the imposing of k=ε =0 on the boundaries to simplify computation.