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The paper aims to investigate the possibility of using functional semantic networks for solving optimization problems in mechanical engineering. The results of the research are based on the application of the methods of the functional semantic network theory, the set theory, the graph theory and classical provisions of the mechanical engineering technology and the theory of machines and mechanisms. The paper describes the methodological principles of solving problems of finding optimal parameters for technical systems by using the structural model in the form of a functional semantic network. The paper offers examples of constructing such networks in designing transmission mechanisms as well as in solving the problem of finding optimal modes of machining. It has been established that functional semantic networks contribute to successful solution of optimization problems in mechanical engineering. Besides, due to functional interrelationships between parameters of engineering systems, application of functional semantic networks can reduce consumption of materials used for reducers by up to 8-22% and the error of cutting by multipoint tools by up to 21-25%.

Solution of optimization problems in mechanical engineering based on use of functional semantic networks