Optimal Design of Second-Step Welding Chamber for a Condenser Tube Extrusion Die Based on the Response Surface Method and the Genetic Algorithm

REFERENCES

• Lof , J. ; Blokhuis , Y. FEM simulations of the extrusion of complex thin-walled aluminum sections . Journal of Materials Processing Technology 2002 , 122 , 344 – 354 .
   Web of Science ®Google Scholar
• Ceretti , E. ; Fratini , L. ; Gagliardi , F. ; Giardini , C. A new approach to study material bonding in extrusion porthole dies . CIRP Annals–Manufacturing Technology 2009 , 58 , 259 – 262 .
   Web of Science ®Google Scholar
• Edwards , S.-P. ; den Bakker , A.J. ; Zhou , J. ; Katgerman , L. Physical simulation of longitudinal weld seam formation during extrusion to produce hollow aluminum profiles . Materials and Manufacturing Processes 2009 , 24 , 409 – 421 .
   Web of Science ®Google Scholar
• Donati , L. ; Tomesani , L. The prediction of seam welds quality in aluminum extrusion . Journal of Material Processing Technology 2004 , 153–154 , 366 – 373 .
   Web of Science ®Google Scholar
• Wu , X.H. ; Zhao , G.Q. ; Luan , Y.G. ; Ma , X.W. Numerical simulation and die structure optimization of an aluminum rectangular hollow pipe extrusion process . Materials Science and Engineering A 2006 , 435–436 , 266 – 274 .
   Web of Science ®Google Scholar
• Chen , Z.Z. ; Lou , Z.L. ; Ruan , X.Y. Finite volume simulation and mould optimization of aluminum profile extrusion . Journal of Materials Processing Technology 2007 , 190 , 382 – 386 .
   Web of Science ®Google Scholar
• Fang , G. ; Zhou , J. ; Duszczyk , J. FEM simulation of aluminum extrusion through two-hole multi-step pocket dies . Journal of Materials Processing Technology 2009 , 209 , 1891 – 1900 .
   Web of Science ®Google Scholar
• Bastani , A.F. ; Aukrust , T. ; Brandal , S. Optimization of flow balance and isothermal extrusion of aluminum using finite-element simulations . Journal of Materials Processing Technology 2011 , 211 , 650 – 667 .
   Web of Science ®Google Scholar
• Bastani , A.F. ; Aukrust , T. ; Skauvik , I. Study of flow balance and temperature evolution over multiple aluminum extrusion press cycles with Hyper-Xtrude 9.0 . Key Engineering Materials 2010 , 424 , 257 – 264 .
   Google Scholar
• Jafarzadeh , H. ; Zadshakoyan , M. ; Abdi Sobbouhi , E. Numerical studies of some important design factors in radial-forward extrusion process . Materials and Manufacturing Processes 2010 , 25 , 857 – 863 .
   Web of Science ®Google Scholar
• Abdul-Jawwad , A.K. ; Bashir , A. A comprehensive model for predicting profile exit temperature of industrially extruded 6063 aluminum alloy . Materials and Manufacturing Processes 2011 , 26 , 193 – 201 .
   Web of Science ®Google Scholar
• Kumar , K. ; Kailas , S.V. ; Srivatsan , T.S. The role of tool design in influencing the mechanism for the formation of friction stir welds in aluminum alloy 7020 . Materials and Manufacturing Processes 2011 , 26 , 915 – 921 .
   Web of Science ®Google Scholar
• Chen , C.C. ; Su , P.L. ; Chiou , C.B. ; Chiang , K.T. Experimental investigation of designed parameters on dimension shrinkage of injection molded thin-wall part by integrated response surface methodology and genetic algorithm: A case study . Materials and Manufacturing Processes 2011 , 26 , 534 – 540 .
   Web of Science ®Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Mondal , D.N. ; Sarangi , K. ; Pettersson , F. ; Sen , P.K. ; Saxén , H. ; Chakraborti , N. Cu-Zn separation by supported liquid membrane analyzed through multi-objective genetic algorithms . Hydrometallurgy 2011 , 107 , 112 – 123 .
   Web of Science ®Google Scholar
• Oduguwa , V. ; Tiwari , A. ; Roy , R. Evolutionary computing in manufacturing industry: an overview of recent applications. Applied Soft Computing 2005, 5, 281–299.
   Web of Science ®Google Scholar
• Paszkowicz , W. Genetic algorithms, a nature-inspired tool: Survey of applications in materials science and related fields . Materials and Manufacturing Processes 2009 , 24 , 174 – 197 .
   Web of Science ®Google Scholar
• Mitra , K. Genetic algorithms in polymeric material production, design, processing and other applications: A review . International Materials Reviews 2008 , 53 , 275 – 297 .
   Web of Science ®Google Scholar
• Chakraborti , N. Genetic algorithms in materials design and processing . International Materials Reviews 2004 , 49 , 246 – 260 .
   Web of Science ®Google Scholar
• Coello Coello , C.A. ; Landa Becerra , R. Evolutionary multi-objective optimization in materials science and engineering . Materials and Manufacturing Processes 2009 , 24 , 119 – 129 .
   Web of Science ®Google Scholar
• Schmidt , A. Numerical prediction and sequential process optimization in sheet forming based on genetic algorithm . Materials and Manufacturing Processes 2011 , 26 , 521 – 526 .
   Web of Science ®Google Scholar
• Mitra , T. ; Helle , M. ; Pettersson , F. ; Saxén , H. ; Chakraborti , N. Multiobjective optimization of top gas recycling conditions in the blast furnace by genetic algorithms . Materials and Manufacturing Processes 2011 , 26 , 475 – 480 .
   Web of Science ®Google Scholar
• Mehtaa , B.V. ; Al-Zkeri , I. ; Gunasekera , J.S. ; Buijk , A. 3D flow analysis inside shear and streamlined extrusion dies for feeder plate design . Journal of Materials Processing Technology 2001 , 113 , 93 – 97 .
   Web of Science ®Google Scholar
• Sellars , C.M. ; Tegart , W.J.M.G. Hot workability . International Metallurgical Review 1972 , 17 , 1 – 24 .
   Google Scholar