Published March 1, 2018
| Version v1
Journal article
Using fuzzy models in machining control system and assessment of sustainability
Creators
- 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/327/4/042021Additional details
Identifiers
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