Prediction of workpiece surface roughness using soft computing

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 222, Issue 10, 2008, Pages 1221-1232

  Samanta, B ^a   Erevelles, W ^b   Omurtag, Y ^b  

^a Villanova University   (United States)

^b ROBERT MORRIS UNIVERSITY   (United States)

Author keywords

Intelligent manufacturing systems; Soft computing; Surface roughness

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; FORECASTING; FRICTION; FUZZY INFERENCE; FUZZY LOGIC; MACHINING; MACHINING CENTERS; METAL ANALYSIS; MILLING (MACHINING); MULTIVARIANT ANALYSIS; NEURAL NETWORKS; REGRESSION ANALYSIS; SOFT COMPUTING; SURFACE PROPERTIES; SURFACE ROUGHNESS;

6061 ALUMINIUM ALLOYS; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS; ARTIFICIAL NEURAL NETWORKS; COMPUTATIONAL INTELLIGENCES; DEPTH OF CUTS; EXPERIMENTAL DATUMS; GOODNESS OF FITS; IMPRECISE INFORMATIONS; INTELLIGENT MANUFACTURING SYSTEMS; LEARNING CAPABILITIES; MACHINING PARAMETERS; MODEL PARAMETERS; MODEL SURFACES; MULTIVARIATE REGRESSION ANALYSES; PREDICTION ACCURACIES; PREDICTION MODELS; SPINDLE SPEEDS; TEST PERFORMANCES; TRAINING DATUMS; VALIDATION DATUMS; WORKPIECE SURFACES;

FUZZY SYSTEMS;

EID: 56149083827     PISSN: 09544054     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544054JEM1035     Document Type: Conference Paper

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