Expert System For Cutting Tool Configuration Of Compressor Casing Parts

Nowadays, the design structure of modern aircraft engine casing parts becomes more complex, resulting in more categories and quantities of cutting tools. Therefore, this phenomenon brings tremendous challenge to select the cutting tools and to develop processing technology. With the financial assistance from major national special program of China( No. 2014ZX04012014), in view of the problems of management and application of the cutting tools and process, an expert system for cutting tool configuration of compressor casing parts was designed. Major research work as following:(1) Based on B/S architecture, the overall design of an expert system for cutting tool configuration of compressor casing parts was completed, which included tool processing performance prediction module, Tool optimized configuration module and machining parameter optimization module.(2) By using artificial neural network and genetic algorithm, the tool life and surface roughness prediction model based on the GA-BP neural network was established, which could achieve the prediction of cutting tool processing performance.(3) By using rule-based reasoning technology, the selection of cutting tools was achieved. And then the tool life and surface roughness prediction value would be obtained based on GA-BP neural network could be used as a reference of the tool processing performance model. At last, the best cutting tool could be selected and the recommendation could be completed.(4) By using the cutting parameters of compressor casing as optimization objective, processing efficiency and processing cost as the optimization objective object, tool life and surface roughness mathematical model was used as the constraint condition, the optimizing cutting parameters could be obtained by using the genetic algorithm and simulated annealing algorithm.