The invention discloses an
optimal design method of a high-temperature air pre-heater for a
solid oxide fuel
cell based on a three-period minimum curved surface, which comprises the following steps of: firstly, establishing a sample
database between a three-period minimum curved surface
single crystal cell structure and hydraulic characteristic parameters and between an end socket structure and a local resistance coefficient; based on a sample
database, an
artificial neural network model of a single
cell structure and hydraulic characteristics, and an end socket and local resistance is constructed, according to the model, on the basis of design requirements, a non-linear optimization
algorithm is combined to design a cross-flow
heat exchanger cell-by-cell self-adaptive
heat balance calculation process, and pressure drop on the
cold side and the hot side is used as an optimization target to optimize the cross-flow
heat exchanger cell-by-cell self-adaptive
heat balance calculation process. According to the method, the minimum curved
surface structure air preheater optimization design method based on the multi-objective genetic optimization
algorithm is developed, the geometric structure of the
single crystal cell, the overall size of the
air preheater and the corresponding thermal performance are finally obtained, the
optimal matching scheme between the
single crystal cell and the overall size can be automatically obtained, the design optimization efficiency is improved, and the design cost is reduced. And
engineering application is facilitated.