Research On The Optimization About Float-wall Of The Flame Tube

Floating panel structure in combustor can effectively improve the panel's temperature distribution and increase the cooling efficiency. It will be the major combustor cooling structure in the future. At present, the floating panel's temperature and structure optimization design study has not been reported at home and abroad. In this paper, focus on the typical impact-effusion cooling floating panel structure to carry out the optimization research on the panel's temperature distribution and panel structure, the main research of this thesis includes:(1) Proposed and established the floating panel three-dimensional parametric modeling method. Floating panel by extracting the modeling parameters, and according to the impact hole, film hole and spoiler column arrangement on the panel, in accordance with its array of laws on the effective area of the panel arrangement with the greatest number of principles were to establish the impact hole, film hole, spoiler column number and location with its size parameters, the impact hole's spacing, size of panel relationship between the parameters. Based on ANSYS software platform to develop the floating panel3D parametric modeling program automatically, which can automatic modeling the flat, ring, ring-wrap three structures nine kinds floating panel structures with the impact hole, film hole and spoiler column'array in1:3:0,1:3:4,1:3:12. The correctness and practicability of this method (structure modeling and finite analysis) was proved in this thesis.(2) Study the structure of the floating panel optimization method, proposed and established at room temperature and high temperature (thermal-structural coupling) conditions the floating panel structure optimization models and optimization methods. Put forward an optimization strategy, first, using elite reserves the adaptive genetic algorithm to topological structure optimization of the location of bolt in the floating panel, then using exhaustive search method to discrete variable optimization of the bolt shank diameter and the panel thickness. Based on the optimization results of the floating panel wall temperature, three kinds of floating panel structure has flat, ring and ring with a coat three form, with impact and film hole arrangement1:3, were optimized. The results show that the optimization methods are applicable.(3) For the impact-effusion cooling floating panel structure, the numerical simulation technology about the wall temperature was researched. The technology uses UG modeling software ICEM CFD meshing software to build the floating panel wall temperature calculation model; FLUENT software based, using heat-flow coupling method and entire solution method to solve the wall temperature distribution; and through the establishment and calling the appropriate library files way to achieve the floating panel of automatic mesh division and wall temperature automatic simulation. The maximum error between the floating panel wall temperature numerical simulation results and the heat transfer experiment results is4.6%, which proved the numerical analysis model and calculation method are effective.(4) Carry out optimization studies about the floating panel wall temperature, proposed and established the wall temperature distribution optimization model and the "neural network genetic algorithm" optimization method. In the optimization process, first using uniform design ideas to obtain the floating panel samples; after that using the five optimization variables to establish the floating panel wall temperature BP network simulation model, the five variables is the impact height H, the impact hole spacing Si, the impact hole diameter Di, the film hole diameter Dd, and angle of film hole to the wall α, so the reliable mapping relationship of the optimization variables and the equivalent temperature Tss can be obtained; Finally, based on this mapping relationship, using the elite reserves adaptive genetic algorithm to optimize the floating panel temperature. The example of floating panel temperature optimization indicates that the model and analysis method is available.(5) The thermal-structural coupling strength analysis method used to analyze the floating panel was researched. According to the floating panel wall temperature numerical simulation results and using temperature interpolation in neighbor nodes to realize the data transfer between the floating panel temperature simulation model and the finite element model; and using thermal-structural indirect coupled finite element analysis method to establish the floating panel structure thermal-structural coupling analysis method. In this paper, the numerical example shows that the thermal-structural coupled analysis method is reasonable.(6) Proposed and established the floating panel structure thermal-fluid-structure coupling optimization model and optimization analysis method. Optimization process using nested optimization strategy, which is divided into inner and outer optimize. In the inner optimization, for each set of the cooling structure variables size, use the elite reserves adaptive genetic algorithm to optimize the location of bolt in the floating panel; outside optimization use the same algorithm to optimize the floating panel cooling structure's feature size variables; and use the "neural network-genetic algorithm" optimization method to improve the computing efficiency. The optimization example shows that the thermal-flow-structure coupling optimization results consistent with the panel temperature and structure two step optimization results; and the result was satisfied.