A New Approach for Technological Processes Design Using Machine Learning Algorithms

In recent years, there has been an active introduction of digital and automated technologies in Russian mechanical engineering and instrumentation industries. Such systems are CAD, CAPP, MES systems, which allow to automate many processes in production. This study is devoted to CAPP (computer-aided process design systems), paying special attention to the methods used for the design of technological processes. The study showed that the search systems of existing CAPP are all based on manual entry of attributes and subsequent time-consuming analysis of search results, technological processes are dialogue mode. And one of the main factors determining the efficiency and competitiveness of the enterprise is a timely developed and established technological process. In order to increase the efficiency of the technological preparation stage of production, it is proposed a new method for designing technological processes in CAPP through the use of machine learning. Thus, the study made possible the development of a new automated process search system for analogue detail. Also the carried out study provides the algorithm, describing a new process engineering method with machine learning tools.