Artificial neural networks vs. fuzzy logic: Simple tools to predict and control complex processes - Application to plasma spray processes

Journal of Thermal Spray Technology

Volumn 17, Issue 3, 2008, Pages 365-376

  Kanta, Abdoul Fatah ^a   Montavon, Ghislain ^b   Vardelle, Michel ^b   Planche, Marie Pierre ^a   Berndt, Christopher C ^c,d   Coddet, Christian ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE BELFORT MONTBÉLIARD   (France)

^b UNIVERSITY OF LIMOGES   (France)

^c SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

^d Stony Brook University   (United States)

Author keywords

Artificial neural networks; Atmospheric plasma spray; Fuzzy logic; Hardness; Porosity; Predicting properties; Process parameters

Indexed keywords

ADJUSTING POWER; ALUMINA-TITANIA; ARC CURRENTS; ARTIFICIAL NEURAL NETWORKS; ATMOSPHERIC PLASMA SPRAY; COATING CHARACTERISTICS; COATING PROPERTIES; COMPLEX PROCESSING; EXTRINSIC PARAMETERS; FUZZY LOGICS; HARDNESS; IN-FLIGHT PARTICLE CHARACTERISTICS; IN-FLIGHT PARTICLES; INJECTION PARAMETERS; INTRINSIC PARAMETERS; KINEMATIC PARAMETERS; NON-LINEAR RELATIONSHIPS; OPERATING PARAMETERS; PARAMETER SETS; PARTICLE TEMPERATURES; PARTICLE VELOCITIES; PLASMA SPRAY PROCESS; PLASMA-SPRAYED COATINGS; POROSITY; POROSITY LEVEL; PREDICTING PROPERTIES; PROCESS PARAMETERS; SERVICE PROPERTIES; SPRAY PARAMETERS; SPRAY PROCESSING;

ALLOYS; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; CHLORINE COMPOUNDS; CLADDING (COATING); FORECASTING; FUZZY CONTROL; FUZZY INFERENCE; FUZZY LOGIC; ION BEAMS; NEURAL NETWORKS; OPTIMIZATION; PESTICIDES; PLASMA JETS; PLASMA SPRAYING; PLASMAS; PROCESS CONTROL; PROTECTIVE COATINGS; RAW MATERIALS; SPRAYED COATINGS; SPRAYING; TITANIUM DIOXIDE; TITANIUM OXIDES;

PARAMETER ESTIMATION;

EID: 49349106076     PISSN: 10599630     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11666-008-9183-3     Document Type: Conference Paper

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