Modeling of machined surface roughness and optimization of cutting parameters in face milling

Metalurgija

Volumn 47, Issue 4, 2008, Pages 331-334

  Bajic D ^a   Lela, B ^a   Zivkovic D ^a  

^a UNIVERSITY OF SPLIT   (Croatia)

Author keywords

Face milling; Neural networks; Regression; Surface roughness

Indexed keywords

ARTIFICIAL INTELLIGENCE; EXPERIMENTS; FOOD PROCESSING; FRICTION; MATHEMATICAL MODELS; METAL ANALYSIS; MILLING (MACHINING); NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS; SURFACE PROPERTIES; SURFACE ROUGHNESS; VEGETATION;

CUTTING PARAMETERS; CUTTING SPEEDS; DEPTH OF CUT; DESIGN OF EXPERIMENT (DOE); FACE MILLING; FEED RATES; INFLUENTIAL FACTORS; MACHINED SURFACE ROUGHNESS; MATHEMATICAL MODELLING; MODELING APPROACHES; NEURAL NETWORK MODELLING; OPTIMAL CUTTING PARAMETERS; PHYSICAL SYSTEMS; REGRESSION; SIMPLEX OPTIMIZATION;

DESIGN OF EXPERIMENTS;

EID: 49549102205     PISSN: 05435846     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. D. Bajić, A. Belaić, Mathematical modelling of surface roughness in milling process, International Scientific Conference on Production Engineering, Lumbarda, 2006, 109-115.
2. M.S. Lou, J.C. Chen, C.M. Li, Surface roughness prediction technique for CNC end-milling, Journal of Industrial Technology, 15(1998)1, 2-6.
3. J.Z. Zhang, J.C. Chen, E.D. Kirby, Surface roughness optimization in an end-milling operation using Taguchi design method, Journal of Materials Processing Technology, 184(2007), 233-239.
4. D. Bajić, I. Majce, Optimization of parameters of turning process, International Scientific Conference on Production Engineering, Lumbarda, 2006, 129-136.
5. C Bishop, Neural Networks for Pattern Recognition, Oxford University Press, Oxford, UK, 1995.