Радіоелектронні і комп'ютерні системи (Mar 2019)

SOLUTION OF THE PROBLEM OF OPTIMIZING THE PARAMETERS OF METAL PROCESSING DURING THE TURNING OPERATION

  • Вячеслав Владимирович Лимаренко,
  • Инна Петровна Хавина

DOI
https://doi.org/10.32620/reks.2017.3.09
Journal volume & issue
Vol. 0, no. 3
pp. 77 – 86

Abstract

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The statement and solution with the application of the intellectual decision support system (IDSS) for optimization of metal processing parameters during the turning operation are shown. The task was posed during the development of IDSS, which allows automating the development of the technological process (TP), optimizing and managing it. The absence of such systems of intellectual support for decision-making does not allow enterprises to fully utilize the capabilities of high-tech equipment and reduces the efficiency and profitability of production due to inefficient use of machine tools, material and engineering resources of enterprises. The tasks of synthesis of the optimal technological process are solved in two stages: the first – structural optimization of the technological process (synthesis of the optimal TP structure); the second – parametric optimization of the technological process (determination of optimal operating parameters for all operations of the technological process). The task of optimizing the parameters of metal processing during the turning operation is one of the subtasks of the second stage of the synthesis of the optimal structure of the technological process of metal machining. The task is solved taking into account the level of accumulated wear on the back surface of the tool, the level of machine efficiency, depending on the operating modes and the period of economically effective tool life. The task is solved in a multi-criteria setting taking into account three objective functions: the cost of operations, the specific energy costs for operations and the operation's performance and the ten existing technical and technological limitations. The solution is obtained as a Pareto-optimal solution. During the solution, an artificial neural network and the genetic algorithm FFGA were applied. This approach allows us to solve the problems of optimization of real production. Shown: the statement of the problem and its practical solution, the structure of the developed system of intellectual support for decision-making, present’s practical results of solving the task, verified the results obtained. The technological map obtained with the help of the IDSS for processing the surface of the «Filter housing» component of the GP-21 generator drive.

Keywords