Automation of Technological System Diagnostics by Parameters of Quality of Surfaces of Machined Parts

  • M. N. NagorkinEmail author
  • V. P. Fyodorov
  • E. V. Kovalyova
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


The current issues of automation of diagnostic processes of technological systems (DTS) in terms of quality parameters and operational properties of surfaces of machined parts are considered. The concept of the proposed diagnostic method includes four stages related to the DTS plan design, the implementation of the DTS, the measurement of surface quality parameters using information and measurement systems, or the diagnosis of performance characteristics on special test bench, processing and statistical analysis of diagnostic results is presented. An example of the technological system diagnosis for processing flat surfaces of parts on a CNC face milling machine by a composite 10 and subsequent surface plastic deformation by diamond burnishing or roll burnishing with a spherical indenter. The schemes of automated surface treatment of samples in the TS diagnosis are presented. The types of measuring systems for measuring geometrical quality parameters of machined parts surfaces are indicated. A brief description of the system of microstructural analysis of surfaces used to diagnose TS according to physical and mechanical properties is given. As an example of the diagnostics of the operational properties of the surfaces of parts, a method for estimating the relative wear resistance of a surface treated with diamond burnishing is presented. The questions of the application of special test benches, where the testing conditions of joints of parts are similar or reproduce real operating conditions, are considered. A typical structure of an automated system for diagnosing a TS including test benches and control systems, data collection and processing is presented.


Diagnostics Technological system Surface quality Performance properties Diamond burnishing Measuring system Test bench 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • M. N. Nagorkin
    • 1
    Email author
  • V. P. Fyodorov
    • 1
  • E. V. Kovalyova
    • 1
  1. 1.Bryansk State Technical UniversityBryanskRussia

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