Intellectual Control System of Processing on CNC Machines

R. Y. Nekrasov, A. A. Lasukov, A. I. Starikov, I. V. Soloviev, O. V. Bekareva

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Scientific and technical progress makes great demands for quality of engineering production. The priority is to ensure metalworking equipment with required dimensional accuracy during the entire period of operation at minimum manufacturing costs. In article considered the problem of increasing of accuracy of processing products on CNC. The authors offers a solution to the problem by providing compensating adjustment in the trajectory of the cutting tool and machining mode. The necessity of creation of mathematical models of processes behavior in an automated technological system operations (OATS). Based on the research, authors have proposed a generalized diagram of diagnosis and input operative correction and approximate mathematical models of individual processes of diagnosis.

Original languageEnglish
Article number012047
JournalIOP Conference Series: Materials Science and Engineering
Volume127
Issue number1
DOIs
Publication statusPublished - 6 May 2016
EventInternational Scientific and Practical Conference on Urgent Problems of Modern Mechanical Engineering - Yurga, Russian Federation
Duration: 17 Dec 201518 Dec 2015

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Mathematical models
Control systems
Production engineering
Cutting tools
Processing
Machining
Trajectories
Costs

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)

Cite this

Intellectual Control System of Processing on CNC Machines. / Nekrasov, R. Y.; Lasukov, A. A.; Starikov, A. I.; Soloviev, I. V.; Bekareva, O. V.

In: IOP Conference Series: Materials Science and Engineering, Vol. 127, No. 1, 012047, 06.05.2016.

Research output: Contribution to journalConference article

Nekrasov, R. Y. ; Lasukov, A. A. ; Starikov, A. I. ; Soloviev, I. V. ; Bekareva, O. V. / Intellectual Control System of Processing on CNC Machines. In: IOP Conference Series: Materials Science and Engineering. 2016 ; Vol. 127, No. 1.
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