Conditions and operating modes of the procedure specification of polymer parts oil-filling process

Abstract

. Technological aspects of digitalization of machine-building production at the stage of pre-production engineering process (PEP) are viewed. Research methods: an exhaustive study of the basic concepts of the PEP defined by standardized documentation - national standards forming the basis of a unified system of technological documentation. It is shown that the formal transition to digital production chains the phenomenon of transformation of basic concepts - the main emphasis is on the modeling technologies at the price of production technologies. As a result of the analysis of EP stages in accordance with standardized documents, the EP digitalization peculiarities are shown. Research results: for the main design tasks of the technological content, the problems of PEP caused by production digitalization are presented: rational choice problems for processing machinery selection; problems of rational choice of processing methods; rational determination of process specification of production work. It is shown that in the conditions of production, equipped with programm support and hardware facilities for technological equipment control, it is necessary to improve feedback systems for the implementation of operational diagnostics and active control of process system elements for guaranteed product quality assurance. It is shown that the process, methods and means of PEP should be adapted to the conditions of a particular production. It is shown that the tasks of PEP related to the rational choice and assignment of processing conditions should be implemented directly at the operating step. It will allow taking into account in a timely manner the material properties variability for the workpiece and the cutting tool being in the intraprocess. Conclusions: the rational application of the principles of digitalization will allow treating the hardware/ software complex for technological design and control of processing machinery as technological artificial intelligence – the accumulated experience and knowledge of specialists of technological services adapted to the conditions of a particular enterprise.