Modeling and optimization of high chromium alloy wear in phosphate laboratory grinding mill with fuzzy logic and particle swarm optimization technique

Minerals Engineering

Volumn 23, Issue 9, 2010, Pages 713-719

  Kor, Mohammad ^a   Abkhoshk, Emad ^b   Tao, Daniel ^c   Chen, G L ^c   Modarres, Hamidreza ^d  

^a SHAHROOD UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c UNIVERSITY OF KENTUCKY   (United States)

^d FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

Expert systems; Grinding; Modeling

Indexed keywords

ALTERNATIVE METHODS; CROP LOAD; FUZZY MODELS; LINER WEAR; MODELING AND OPTIMIZATION; PARTICLE SWARM OPTIMIZATION TECHNIQUE; PROCESS PARAMETERS; REGRESSION MODEL; ROOT MEAN SQUARE ERRORS; ROTATION SPEED; SOLID CONCENTRATIONS; SOLUTION PH; STATISTICAL REGRESSION TECHNIQUES; WEAR RATES;

CHROMIUM; CHROMIUM ALLOYS; EXPERT SYSTEMS; FUZZY SYSTEMS; GRINDING (MACHINING); PARTICLE SWARM OPTIMIZATION (PSO); PROBLEM SOLVING; REGRESSION ANALYSIS; WEAR OF MATERIALS;

FUZZY LOGIC;

EID: 77955305938     PISSN: 08926875     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mineng.2010.04.009     Document Type: Article

References (54)

1. V. Adriaenssens, B.D. Baets, P.L.M. Goethals, and N.D. Pauw Fuzzy rule-based models for decision support in ecosystem management Science of the Total Environment 319 1-3 2004 1 12
2. D. Aleksendric Neural network prediction of brake friction materials wear Wear 268 1-2 2009 117 125
3. S. Banisi, and M. Hadizadeh 3-D liner wear profile measurement and analysis in industrial SAG mills Minerals Engineering 20 2 2007 132 139
4. A. Bárdossy, and L. Duckstein Fuzzy Rule-based Modeling with Applications to Geophysical, Biological, and Engineering Systems 1995 CRC Press Boca Raton, Florida
5. A. BiyIkoglu, M.A. Akcayol, V. Özdemir, and M. Sivrioglu Temperature prediction in a coal fired boiler with a fixed bed by fuzzy logic based on numerical solution Energy Conversion and Management 46 1 2005 151 166
6. L.A. Bojórquez-Tapia, L. Juárez, and G. Cruz-Bello Integrating fuzzy logic, optimization, and GIS for ecological impact assessments Environmental Management 30 3 2002 418 433
7. R.W. Bosserman, and R.K. Ragade Ecosystem analysis using fuzzy set theory Ecological Modelling 16 2-4 1982 191 208
8. E. Brinksmeier, J.C. Aurich, E. Govekar, C. Heinzel, H.W. Hoffmeister, F. Klocke, J. Peters, R. Rentsch, D.J. Stephenson, E. Uhlmann, K. Weinert, and M. Wittmann Advances in modeling and simulation of grinding processes CIRP Annals - Manufacturing Technology 55 2 2006 667 696
9. H. Cetinel, H. Oztürk, E. Celik, and B. KarlIk Artificial neural network-based prediction technique for wear loss quantities in Mo coatings Wear 261 10 2006 1064 1068
10. K.W. Chau A review on integration of artificial intelligence into water quality modelling Marine Pollution Bulletin 52 7 2006 726 733
11. G.L. Chen, D. Tao, and B.K. Parekh A laboratory study of high chromium alloy wear in phosphate grinding mill International Journal of Mineral Processing 80 1 2006 35 42
12. H. Chih-Ming Improving the electroforming process in optical recordable media manufacturing via an integrated procedure Engineering Optimization 36 2004 659 675
13. A.M.G. Cornelissen, J. van den Berg, W.J. Koops, M. Grossman, and H.M.J. Udo Assessment of the contribution of sustainability indicators to sustainable development: a novel approach using fuzzy set theory Agriculture Ecosystems & Environment 86 2 2001 173 185
14. S. Danaher, S. Datta, I. Waddle, and P. Hackney Erosion modelling using Bayesian regulated artificial neural networks Wear 256 9-10 2004 879 888
15. S. Dhanasekaran, and R. Gnanamoorthy Abrasive wear behavior of sintered steels prepared with MoS2 addition Wear 262 5-6 2007 617 623
16. M. Duarte, F. Seplveda, A. Castillo, A. Contreras, V. Lazcano, P. Giménez, and L. Castelli A comparative experimental study of five multivariable control strategies applied to a grinding plant Powder Technology 104 1 1999 1 28
17. D. Dubois, and H. Prade An introduction to fuzzy systems Clinica Chimica Acta 270 1 1998 3 29
18. D.P. Filev, and R.R. Yager A generalized defuzzification method via bad distribution International Journal of Intelligent Systems 6 1991 687 697
19. J.D. Gates, M.S. Dargusch, J.J. Walsh, S.L. Field, M.J.P. Hermand, B.G. Delaup, and J.R. Saad Effect of abrasive mineral on alloy performance in the ball mill abrasion test Wear 265 5-6 2008 865 870
20. J.H. Holland Adaptation in Natural and Artificial Systems 1992 MIT Press Cambridge USA
21. C.M. Hsu, C.T. Su, and D. Liao A novel approach for optimizing the optical performance of the broadband tap coupler International Journal of Systems Science 34 2003 215 226
22. C.-M. Hsu An integrated approach to enhance the optical performance of couplers based on neural networks, desirability functions and tabu search International Journal of Production Economics 92 3 2004 241 254
23. R.K. Jain, V.K. Jain, and P.K. Kalra Modelling of abrasive flow machining process: a neural network approach Wear 231 2 1999 242 248
24. A. Jankovic Variables affecting the fine grinding of minerals using stirred mills Minerals Engineering 16 4 2003 337 345
25. J.T. Kalala, M.M. Bwalya, and M.H. Moys Discrete element method (DEM) modelling of evolving mill liner profiles due to wear. Part I: DEM validation Minerals Engineering 18 15 2005 1386 1391
26. J.T. Kalala, M. Breetzke, and M.H. Moys Study of the influence of liner wear on the load behaviour of an industrial dry tumbling mill using the Discrete Element Method (DEM) International Journal of Mineral Processing 86 1-4 2008 33 39
27. A. Kandel Fuzzy Expert Systems 1991 CRC Press
28. J. Kennedy, and R. Eberhart Particle swarm optimization IEEE International Conference on Neural Networks 4 1995 1942 1948
29. G.J. Klir, and B. Yuan Fuzzy Sets and Fuzzy Logic: Theory and Application 1995 CRC Press New York
30. W.V. Leekwijck, and E.E. Kerre Defuzzification: criteria and classification Fuzzy Sets and Systems 108 2 1999 159 178
31. A.B. Makokha, M.H. Moys, M.M. Bwalya, and K. Kimera A new approach to optimising the life and performance of worn liners in ball mills: experimental study and DEM simulation International Journal of Mineral Processing 84 1-4 2007 221 227
32. E.H. Mamdani, and S. Assilian An experiment in linguistic synthesis with a fuzzy logic controller International Journal of Human-Computer Studies 51 1999 135 147
33. A. Mellit, and S.A. Kalogirou Artificial intelligence techniques for photovoltaic applications: a review Progress in Energy and Combustion Science 34 5 2008 574 632
34. J. Menacho, and F. Concha Mathematical model of ball wear in grinding mills I. Zero-order wear rate Powder Technology 47 1 1986 87 96
35. J.M. Menacho, and F.J. Concha Mathematical model of ball wear in grinding mills II. General solution Powder Technology 52 3 1987 267 277
36. Pedrycz, W., Card, H.C., 1992. Linguistic interpretation of self-organizing maps. In: Proc. Conference on IEEE International Conference on Fuzzy Systems, San Diego, California, pp. 371-378.
37. Y.A. Phillis, and L.A. Andriantiatsaholiniaina Sustainability: an ill-defined concept and its assessment using fuzzy logic Ecological Economics 37 3 2001 435 456
38. A. Ratnaweera, S.K. Halgamuge, and H.C. Watson Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients IEEE Transactions on Evolutionary Computation 8 3 2004 240 255
39. J.R. Rodriguez, J. Pontt, P. Newman, R. Musalem, H. Miranda, L. Moran, and G. Alzamora Technical evaluation and practical experience of high-power grinding mill drives in mining applications IEEE Transactions on Industry Applications 41 3 2005 866 874
40. Salerno, J., 1997. Using the particle swarm optimization technique to train a recurrent neural model. In: Ninth IEEE International Conference on Tools with Artificial Intelligence, pp. 45-49.
41. W. Silvert Ecological impact classification with fuzzy sets Ecological Modelling 96 1-3 1997 1 10
42. A. Suresh, A.P. Harsha, and M.K. Ghosh Solid particle erosion studies on polyphenylene sulfide composites and prediction on erosion data using artificial neural networks Wear 266 1-2 2009 184 193
43. J. Taboada, T. Rivas, M.A. Saavedra, M. Araújo, and A. Argüelles A fuzzy expert system application to the evaluation of ceramic- and paper-quality kaolin Applied Clay Science 33 3-4 2006 287 297
44. D. Tao, G.L. Chen, and B.K. Parekh Statistical analysis of wear rate of phosphate-grinding mill Corrosion 60 11 2004 1072 1081
45. D. Tao, G.L. Chen, and B.K. Parekh Corrosion protection of mild carbon steel media in phosphate grinding mill using impressed current technology Minerals Engineering 18 5 2005 481 488
46. D. Tao, G.L. Chen, and B.K. Parekh An electrochemical study of corrosive wear of phosphate grinding mill Journal of Applied Electrochemistry 37 2 2007 187 194
47. K.M. Tay, and C. Butler Modelling and optimizing of a mig welding process - a case study using experimental designs and neural networks Quality and Reliability Engineering International 13 2 1997 61 70
48. H.K. Tonshoff, J. Peters, I. Inasaki, and T. Paul Modelling and simulation of grinding processes CIRP Annals - Manufacturing Technology 41 2 1992 677 688
49. T.S. Vitez, R. Wada, and A. Macario Fuzzy logic: theory and medical applications Journal of Cardiothoracic and Vascular Anesthesia 10 6 1996 800 808
50. R.R. Yager, and D. Filev On the issue of defuzzification and selection based on a fuzzy set Fuzzy Sets and Systems 55 3 1993 255 271
51. R. Yu, P. Leung, and P. Bienfang Predicting shrimp growth: artificial neural network versus nonlinear regression models Aquacultural Engineering 34 1 2006 26 32
52. Zadeh, L.A., 1965. Fuzzy Sets, s.n., California Univ Berkeley, Electronics Research Lab.
53. Z. Zhang, N.M. Barkoula, J. Karger-Kocsis, and K. Friedrich Artificial neural network predictions on erosive wear of polymers Wear 255 1-6 2003 708 713
54. H.J. Zimmermann Fuzzy Set Theory - and Its Applications fourth ed. 2001 Springer Boston