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Original Articles

FEM and ANN Analysis in Fine-Blanking Process

, &
Pages 864-872 | Received 08 Jul 2009, Accepted 08 Aug 2009, Published online: 02 Sep 2010

REFERENCES

  • Thipprakmas , S. ; Jin , M. ; Murakawa , M. An investigation of material flow analysis in fine-blanking process . Journal of Materials Processing Technology 2007 , 192–193 , 237 – 242 .
  • Thipprakmas , S. ; Jin , M. ; Tomokazu , K. ; Katsuhiro , Y. ; Murakawa , M. Prediction of fine-blanked surface characteristics using the finite element method (FEM) . Journal of Materials Processing Technology 2008 , 198 , 391 – 398 .
  • Thipprakmas , S. Finite-element analysis of V-ring indenter mechanism in fine-blanking process . Materials & Design 2009 , 30 ( 3 ), 526 – 531 .
  • Kwak , T.S. ; Kim , Y.J. ; Bae , W.B. Finite element analysis on the effect of die clearance on shear planes in fine-blanking . Journal of Materials Processing Technology 2002 , 130–131 , 462 – 468 .
  • Hagan , M.T. ; Demuth , H.B. ; Beale , M. Neural Network Design ; PWS Publishing : Boston , MA , 1996 .
  • Chan , W.L. ; Fu , M.W. ; Lu , J. An integrated FEM and ANN methodology for metal-formed product design . Engineering Application of Artificial Intelligence 2008 , 21 , 1170 – 1181 .
  • Fu , M.W. ; Yong , M.S. ; Tong , K.K. ; Muramatsu , T. A methodology for evaluation of metal forming system design and performance via CAE simulation . International Journal of Production Research 2006 , 44 , 1075 – 1092 .
  • Raj , K.H ; Sharma , R.S. ; Srivastava , S. ; Patvardhan , C. Modeling of manufacturing processes with ANNs for intelligent manufacturing . International Journal of Machine Tools and Manufacture 2000 , 40 , 851 – 868 .
  • Di Lorenzo , R. ; Ingarao , G. ; Micari , F. On the use of artificial intelligence tools for fracture forecast in cold forming operations . Journal of Materials Processing Technology 2006 , 177 , 315 – 318 .
  • Ko , D.C. ; Kim , D.H. ; Kim , B.M. ; Choi , J.C. Methodology of perform design considering workability in metal forming by the artificial neural network and Taguchi method . Journal of Materials Processing Technology 1998 , 80–81 , 487 – 492 .
  • Kim , D.J. ; Kim , B.M. Application of neural network and FEM for metal forming processes . International Journal of Machine Tools and Manufacture 2000 , 40 , 911 – 925 .
  • Viswanathan , V. ; Kinsey , B. ; Cao , J. Experimental implementation of neural network springback control for sheet metal forming . Journal of Materials and Technology 2003 , 124 , 141 – 147 .
  • Pettersson , F. ; Chakraborti , N. ; Singh , S.B. Neural networks analysis of steel plate processing augmented by multi-objective genetic algorithms . Steel Research International 2007 , 78 ( 12 ), 890 – 898 .
  • Ciurana , J. ; Arias , G. ; Ozel , T. Neural network modeling and particle swarm optimization (PSO) of process parameters in pulsed laser micromachining of hardened AISI H13 steel . Materials and Manufacturing Processes 2009 , 24 , 358 – 368 .
  • Forsik , S. ; Bhadeshia , H.K.D.H. Elongation of irradiated steels . Materials and Manufacturing Processes 2009 , 24 , 130 – 137 .
  • Ryu , J.H. ; Bhadeshia , H.K.D.H. Contribution of microalloying to the strength of hot-rolled steels . Materials and Manufacturing Processes 2009 , 24 , 138 – 144 .
  • Wen , J.L. ; Shie , J.R. ; Yang , Y.K. Optimization of a wear property of die cast AZ91D components via a neural network. Materials and Manufacturing Processes 2009, 24, 400–408.
  • Haykin , S. Neural Networks: A Comprehensive Foundation ; Prentice Hall : Englewood Cliffs , NJ , 1999 .
  • Bechtler , H. ; Browne , M.W. ; Bansal , P.K. ; Kecman , V. New approach to dynamic modeling of vapour-compression liquid chillers . Artificial neural networks. Applied Thermal Engineering 2001 , 21 , 941 – 953 .
  • MATLAB Software, Version 5, 2008 .
  • Pettersson , F. ; Chakraborti , N. ; Saxen , H. A genetic algorithms based multi-objective neural net applied to noisy blast furnace data . Applied Soft Computing 2007 , 7 , 387 – 397 .
  • Mikko , H. ; Pettersson , F. ; Chakraborti , N. ; Saxen , H. Modeling noisy blast furnace data using gentic algorithms and nural networks . Steel Research International 2006 , 77 ( 2 ), 75 – 81 .
  • Pettersson , F. ; Biswas , A. ; Sen , P.K. ; Saxén , H. ; Chakraborti , N. Analyzing leaching data for low-grade manganese ore using neural nets and multiobjective genetic algorithms . Materials and Manufacturing Processes 2009 , 24 , 320 – 330 .
  • Pettersson , F. ; Suh , C. ; Saxén , H. ; Rajan , K. ; Chakraborti , N. Analyzing sparse data for nitride spinels using data mining, neural networks, and multiobjective genetic algorithms . Materials and Manufacturing Processes 2009 , 24 , 2 – 9 .
  • Bhattacharya , B. ; Kumar , G.R.D. ; Agarwal , A. ; Erkoç , S. ; Singh , A. ; Chakraborti , N. Analyzing Fe–Zn system using molecular dynamics, evolutionary neural nets and multi-objective genetic algorithms . Computational Materials Science 2009 , 46 , 821 – 827 .

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