Neurofuzzy approach to process parameter selection for friction surfacing applications

Surface and Coatings Technology

Volumn 140, Issue 3, 2001, Pages 256-262

  Vitanov, V I ^a   Voutchkov, I I ^b   Bedford, G M ^c  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c UNIVERSITY OF PORTSMOUTH   (United Kingdom)

Author keywords

C hardfacing; X C friction surfacing; Artificial intelligence

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ARTIFICIAL INTELLIGENCE; COATINGS; CORROSION; COST EFFECTIVENESS; HARD FACING; OPTIMIZATION; WEAR RESISTANCE;

WORN ENGINEERING COMPONENTS;

FRICTION;

COATING; FRICTION; INDUSTRIAL APPLICATION; MATHEMATICAL ANALYSIS; WEAR RESISTANCE;

EID: 0035978414     PISSN: 02578972     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0257-8972(01)01128-8     Document Type: Article

References (13)

1. Metal deposition by friction welding
2. Effect of process parameters during friction coating on properties of non-dilution coating layers
3. Friction surfacing for wear application
4. Micro-friction surfacing in the manufacture and repair of gas turbine blades
5. Production of friction components using steel MMCs produced by the osprey process
6. Decision support system for the frictec (friction surfacing) process
7. Large scale friction surfacing
8. Neurofuzzy model-based selection of process parameters for friction surfacing applications
9. Fuzzy model identification based on cluster estimation
10. Computer aided process planning - An expert system approach, computer technology in welding