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Original Articles

Modeling and Optimal Design of Machining-Induced Residual Stresses in Aluminium Alloys Using a Fast Hierarchical Multiobjective Optimization Algorithm

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Pages 508-520 | Received 23 Sep 2010, Accepted 01 Nov 2010, Published online: 08 Apr 2011

REFERENCES

  • British Energy Generation Ltd. Assessment of the Integrity of Structures Containing Defects, R6 Revision 4, 2006.
  • McClung , R.C. A literature survey on the stability and significance of residual stresses during fatigue . Fatigue and Fracture of Engineering Materials and Structures 2007 , 30 , 173 – 205 .
  • Ee , K.C. ; Dillon , O.W., Jr. ; Jawahir , I.S. Finite element modeling of residual stresses in machining induced by cutting using a tool with finite edge eadius . International Journal of Mechanical Sciences 2005 , 47 , 1611 – 1628 .
  • Kafkas , F. ; Karatas , C. ; Sozen , A. ; Arcaklioglu , E. ; Saritas , S. Determination of residual stresses based on heat treatment conditions and densities on a hybrid (FLN2-44-5) powder metallurgy steel using artificial neural network . Materials and Design 2007 , 28 , 2431 – 2442 .
  • Umbrello , D. ; Ambrogio , G. ; Filice , L. ; Shivpuri , R. A hybrid finite element method-artificial neural network approach for predicting residual stresses and the optimal cutting conditions during hard turning of AISI 52100 bearing steel . Materials and Design 2008 , 29 , 873 – 883 .
  • Coello Coello , C.A. ; Becerra , R.L. Evolutionary multiobjective optimization in materials science and engineering . Materials and Manufacturing Processes 2009 , 24 ( 2 ), 119 – 129 .
  • Zhang , Q. ; Mahfouf , M. Fuzzy predictive modelling using hierarchical clustering and multi-objective optimisation for mechanical properties of alloy steels. In Proceedings of the 12th IFAC Symposium on Automation in Mining, Mineral and Metal Processing, 2007; 427–432.
  • Zhang , Q. Nature-Inspired Multi-Objective Optimisation and Transparent Knowledge Discovery via Hierarchical Fuzzy Modelling. Ph.D. thesis, The Department of Automatic Control and Systems Engineering, The University of Sheffield, UK, 2008.
  • Deb , K. ; Pratap , A. ; Agarwal , S. ; Meyarivan , T. A fast and elitist multiobjective genetic algorithm: NSGA-II . IEEE Transactions on Evolutionary Computation 2002 , 6 ( 2 ), 182 – 197 .
  • Sim , W.M. Challenges of residual stress and part distortion in the civil airframe industry. In Proceedings of the 2nd International Conference on Distortion Engineering, 2008.
  • Denkena , B. ; Boehnke , D. ; de Leon , L. Machining induced residual stress in structural aluminum parts . Production Engineering 2008 , 2 ( 3 ), 247 – 253 .
  • Boumaiza , S. ; Pinna , C. ; Yates , J.R. ; Greene , R.J. Finite element modelling of part distortion under residual stress. To be submitted.
  • Wang , L.-X. ; Mendel , J.M. Fuzzy basis functions, universal approximation, and orthogonal least-squares learning . IEEE Transactions on Neural Networks 1992 , 3 ( 5 ), 807 – 814 .
  • Wang , L.-X. A Course in Fuzzy Systems and Control ; Prentice-Hall : Englewood Cliffs , NJ, USA , 1997 .
  • Zhang , Q. ; Mahfouf , M. Mamdani-type fuzzy modelling via hierarchical clustering and multi-objective particle swarm optimisation (FM-HCPSO) . International Journal of Computational Intelligence Research (IJCIR) 2008 , 4 ( 4 ), 314 – 328 .
  • Ishibuchi , H. ; Nojima , Y. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning . International Journal of Approximate Reasoning 2007 , 44 ( 1 ), 4 – 31 .
  • Alcala , R. ; Ducange , P. ; Herrera , F. ; Lazzerini , B. ; Marcelloni , F. A multiobjective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems . IEEE Transactions on Fuzzy Systems 2009 , 17 ( 5 ), 1106 – 1122 .
  • Withers , P.J. ; Bhadeshia , H.K.D.H. Residual stress part 1 – measurement techniques . Materials Science and Technology 2001 , 17 , 355 – 365 .
  • Koc , M. ; Culp , J. ; Altan , T. Prediction of residual stresses in quenched aluminium blocks and their reduction through cold working processes . Journal of Materials Processing Technology 2006 , 174 , 342 – 354 .
  • Jackiewicz , J. Assessing coefficients of the barlat yield criterion for anisotropic aluminum alloy sheets by means of the evolutionary strategy . Materials and Manufacturing Processes 2009 , 24 ( 3 ), 375 – 383 .
  • Zhang , Q. ; Mahfouf , M. A modified PSO with a dynamically varying population and its application to the multi-objective optimal design of alloy steels. In Proceedings of the 2009 IEEE Congress on Evolutionary Computation, 2009; 3241–3248.
  • Paszkowicz , W. Genetic algorithms, a nature-inspired tool: Survey of applications in materials science and related fields . Materials and Manufacturing Processes 2009 , 24 ( 2 ), 174 – 197 .
  • Zadeh , L.A. A fuzzy-set-theoretic interpretation of linguistic hedges . Journal of Cybernetics 1972 , 2 , 4 – 34 .
  • Mahfouf , M. ; Gama , M.A. ; Panoutsos , G. “Right-First-Time” production: A reality or a myth? Materials and Manufacturing Processes 2009 , 24 ( 1 ), 78 – 82 .
  • Zhang , Q. ; Mahfouf , M. A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm – special application to the design of alloy steels . Engineering Applications of Artificial Intelligence 2010 , 23 , 660 – 675 .
  • Egorov-Yegorov , I.N. ; Dulikravich , G.S. Chemical composition design of superalloys for maximum stress, temperature, and time-to-rupture using self-adapting response surface optimization . Materials and Manufacturing Processes 2005 , 20 ( 3 ), 569 – 590 .
  • Dulikravich , G.S. ; Egorov , I.N. ; Colaco , M.J. Optimizing chemistry of bulk metallic glasses for improved the thermal stability . Modelling and Simulation in Materials Science and Engineering 2008 , 16 ( 7 ), 075010 .
  • Dieter , G.E. Mechanical Metallurgy: SI Metric Edition ; McGraw-Hill : London , 1988 .

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