Development of multi-objective optimization models for electrochemical machining process

International Journal of Advanced Manufacturing Technology

Volumn 39, Issue 1-2, 2008, Pages 55-63

  Asokan, P ^a   Kumar, R Ravi ^a   Jeyapaul, R ^a   Santhi, M ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Analysis of variance; Artificial neural network; Electrochemical machining; Grey relational analysis; Regression model

Indexed keywords

BACKPROPAGATION; CHLORINE COMPOUNDS; ELECTRIC DISCHARGE MACHINING; ELECTROCHEMICAL CUTTING; FOOD PROCESSING; FORECASTING; LINEAR REGRESSION; MACHINING CENTERS; MATHEMATICAL MODELS; MATHEMATICAL OPERATORS; METAL ANALYSIS; METAL RECOVERY; METALS; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS; SURFACE ROUGHNESS;

ANALYSIS OF VARIANCE; ANN MODELING; ARTIFICIAL NEURAL NETWORK; CUTTING PERFORMANCES; DIVERSE RANGE; ELECTROCHEMICAL MACHINING; EXPERIMENTAL DATA; FLOW-RATE; GREY RELATIONAL ANALYSIS; LINEAR REGRESSION MODELS; LOGARITHMIC TRANSFORMATIONS; MACHINING PARAMETERS; MACHINING TIME; METAL-REMOVAL RATE; MULTI OBJECTIVES; MULTI-OBJECTIVE OPTIMIZATION MODELS; MULTIPLE REGRESSION MODELS; OPERATING PARAMETERS; OPTIMAL CONDITIONS; OPTIMAL CUTTING PARAMETERS; OPTIMAL MACHINING PARAMETERS; PREDICTION MODELING; PROCESS PARAMETERS; REGRESSION MODEL; TESTING DATA; TESTING RESULTS; TRAINING AND TESTING; TRAINING DATA;

MACHINING;

EID: 52649139478     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-007-1204-8     Document Type: Article

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