Abstract
The application of the statements from the theory of developing genetic algorithms to solve the problems of computer-aided design of forging preparatory transitions demonstrates that the suggested approach seems reasonable for solving problems in CAPP of shaft press-forging, which are difficult to formalize. The paper describes developed genetic algorithm for computer-aided design of shaft press-forging main transitions. The standard procedure of the main forging transitions is exemplified by rotor-type shaft forging. The authors discuss the algorithm of forming the geometry of the steps on blanks in each transition; introduce a concept of relatively displaced volume as a value that correlates with the duration of forging. On the basis of this concept, the condition for the forging process termination in each transition is formalized. The genetic algorithm for computer-aided design of main transitions of shaft press-forging is developed on the principles of the theory of probability and mathematical statistics. The algorithm has the properties of self-improvement and auto-adjustment to manufacturing conditions. Thus, it simplifyes CAPP system user work and creates preconditions for a successful replication of the shaft press-forging system at various enterprises.
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