Published March 1, 2018 | Version v1
Journal article

Using fuzzy models in machining control system and assessment of sustainability

  • 1. Belgorod State Technological University after V.G. Shukhov, 46, Kostyukova St., Belgorod, 308012 (Russian Federation)
  • 2. Admiral Ushakov Maritime State University, 93, Lenina Av., Novorossiysk, 353918 (Russian Federation)

Description

Description of the complex relationship of the optimum velocity with the temperature-strength state in the cutting zone for machining a fuzzy model is proposed. The fuzzy-logical conclusion allows determining the processing speed, which ensures effective, from the point of view of ensuring the quality of the surface layer, the temperature in the cutting zone and the maximum allowable cutting force. A scheme for stabilizing the temperature-strength state in the cutting zone using a nonlinear fuzzy PD–controller is proposed. The stability of the nonlinear system is estimated with the help of grapho–analytical realization of the method of harmonic balance and by modeling in MatLab. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/327/4/042021

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
327
Journal Issue
4
Journal Page Range
[6 p.]
ISSN
1757-899X

Conference

Title
International Conference on Mechanical Engineering, Automation and Control Systems 2017
Dates
4-6 Dec 2017
Place
Tomsk (Russian Federation)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52075134
Subject category
S42: ENGINEERING; S36: MATERIALS SCIENCE;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTERIZED SIMULATION; CONTROL SYSTEMS; CUTTING; FUZZY LOGIC; NONLINEAR PROBLEMS; STABILITY
Descriptors DEC
MACHINING; MATHEMATICAL LOGIC; SIMULATION