Page 10 - january
P. 10

PRODUCTION AUTOMATION

               The correct assessment of the state of the cutting process is
        difficult because of the complexity of the process itself, which still
        does not have a unified theory, as well as the complex structure of
        its dynamics [10, 11]. The dynamics of contact interaction during
        cutting  is  determined,  with  on  the  one  hand,
        by the shock interaction of the micro relief, on
        the  other  hand,  by  the  intense  formation  of
        adhesive bonds that tend to turn the CT and the
        part into a single whole. There are grounds for
        asserting that the process of cutting materials
        is, in principle, self-oscillating [9, 12]. Thus, the
        VA signal is generated by a complex nonlinear
        dynamic system, the self-oscillating process of
        which is adjusted to the processing conditions.
        In this situation, the search for the parameters
        of  VA  signals  that  provide  reliable  information
        about tool wear and the quality of the resulting surface is a complex and multivariate task. It is
        further complicated by the fact that the updating of tool and structural materials is much faster
        than research in the field of diagnostics of the cutting process.
               The problems of diagnostics of the cutting process are supplemented by the issues of
        diagnostics of the most important units of technological equipment, which are responsible for
        the accuracy of processing, and disturbances in their operation can cause an emergency or
        a failure in the technological cycle [13]. First of all, it is necessary to consider the operation
        of  spindle  units,  which  in  modern  machine  tools  are  mechatronic  modules  [14-16],  having
        high accuracy and rotation speed. Minor deviations at the stage of assembly of these units or
        violations of operating conditions can cause their unexpected failures during processing, leading
        to expensive repairs and equipment downtime. To monitor and diagnose the technical state of
        machine tool equipment, a number of diagnostic signals can be used, received from various
        parts of the technological system, the state of which determines the accuracy and quality of
        product processing. This requires constant monitoring of the components of the technological
        system.
               One  of  the  main  tasks  facing  the  DM  serving  an  automated  technological  complex  is
        to  determine  the  current  operability  of  the  tools  to  determine  timely  the  moment  of  their
        replacement, ensuring trouble-free operation of the complex in the absence of an operator. A
        significant scatter of the quality characteristics of tools complicates the task, for example, the
        durability of the same type of tools can differ several times.
               The  development  of  measuring  instruments  and  computers  in  recent  years  has  made
        it possible to solve partially the problems of control and diagnostics by creating monitoring
        systems for machines and equipment based on the considered information technologies. Such
        systems [8], focused on continuous monitoring of the diagnostic parameters of a particular
        machine or equipment, have special adaptation modes at the beginning of operation, when

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