Intelligent machining: Computational methods and optimization

Machining: Fundamentals and Recent Advances

Volumn , Issue , 2008, Pages 329-358

  Deb, Sankha ^a   Dixit, U S ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 74249119882     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-84800-213-5_12     Document Type: Chapter

References (39)

1. Szecsi T (1999) Cutting force modelling using artificial neural networks. J Mater Process Technol 92:344-349.
2. Hao, W, Zhu, X, Li, X and Turyagyenda, G (2006), Prediction of cutting force for self-propelled rotary tool using artificial neural networks, Journal of Materials Processing Technology, Vol. 180, pp. 23-29.
3. Azouzi R, Guillot M (1997) On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusion. Int J Mach Tools Manuf 37:1201-1217.
4. Risbood KA, Dixit US, Sahasrabudhe AD (2003) Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning process. J Mater Process Technol 132:203-214.
5. Kohli A, Dixit US (2004) A neural-network-based methodology for the prediction of surface roughness in a turning process. Int J Adv Manuf Technol 25:118-129.
6. Özel T, Karpat Y (2005) Predictive modelling of surface roughness and tool wear in hard turning using regression and neural networks, Int J Mach Tools Manuf 45:467-479.
7. Ezugwu EO, Arthur SJ, Hines EL (1995) Tool-wear prediction using artificial neural networks. J Mater Process Technol 49:255-264.
8. Tosun N, Ozler L (2002) A study of tool life in hot machining using artificial neural networks and regression analysis method. J Mater Process Technol 124:99-104.
9. Ojha DK, Dixit US (2005) An economic and reliable tool life estimation procedure for turning. Int J Adv Manuf Technol 26:726-732.
10. Sonar DK, Dixit US, Ojha DK (2006) Application of radial basis function neural network for predicting the surface roughness in turning process. Int J Adv Manuf Technol 27:661-666.
11. Chen JC, Black JT (1997), A fuzzy-nets in-process (FNIP) systems for tool-breakage monitoring in end-milling operations. Int J Mach Tools Manuf 37:783-800.
12. Abburi NR, US Dixit (2006) A knowledge-based system for the prediction of surface roughness in turning process. Robot Comput-Integr Manuf 22:363-372.
13. Jang J S R, Sun CT, Mizutani E (2002) Neuro-Fuzzy and Soft Computing - A computational Approach to Learning and Machine Intelligence. Prentice-Hall of India, New Delhi.
14. Kosko B (1992) Neural Networks and Fuzzy Systems: a Dynamical Systems Approach to Machine Intelligence. Prentice-Hall, NJ.
15. Tsoukalas LH, Uhrig RE (1996) Fuzzy and Neural Approaches in Engineering. Wiley, New York, NY.
16. Reddy JN (1993) An Introduction to the Finite Element Method, second edition. McGraw-Hill, New York, NY.
17. Cook RD, Malkus DS, Plesha ME (1989) Concepts and Applications of Finite Element Analysis, 3rd edn. Wiley, New York, NY.
18. Bathe KJ (1996) Finite Element Procedures. Prentice-Hall of India, New Delhi.
19. Grzesik W (2006), Determination of temperature distribution in the cutting zone using hybrid analytical-FEM technique. Int J Mach Tools Manuf 46:651-658.
20. Fang G, Zeng P (2005) Three-dimensional thermo-elastic-plastic coupled FEM simulations for metal oblique cutting processes. J Mater Process Technol 168:42-48.
21. Abukhshim NA, Mativenga PT, Sheikh MA (2006) Heat generation and temperature prediction in metal cutting: A review and implications for high speed machining. Int J Mach Tools Manuf 46:782-800.
22. Tay A O O, Lee KH (1992) Calculation of temperature distribution in machining using a hybrid finite-element-boundary-element method. J Mater Process Technol 29:47-62.
23. Ozel T (2006) The influence of friction models on finite element simulations of machining. Int J Mach Tools Manuf 46:518-530.
24. Joshi VS, Dixit PM, Jain VK (1994) Viscoplastic analysis of metal cutting by finite element method. Int J Mach Tools Manuf 34:553-571.
25. Filice L, Micari F, Settineri L, Umbrello D (2007) Wear modelling in mild steel orthogonal cutting when using uncoated carbide tools. Wear 262:545-554.
26. Xie L-J, Schmidt J, Schmidt C, Biesinger F (2005) 2D FEM estimate of tool wear in turning operation. Wear 258:1479-1490.
27. Ahmad MM, Draper WA, Derricott RT (1989) An application of the finite element method to the prediction of cutting tool performance. Int J Mach Tools Manuf 29:197-206.
28. Cakir MC, Sik YI (2005) Finite element analysis of cutting tools prior to fracture in hard turning operations. Mater Des 26:105-112.
29. Monaghan J, Brazil D (1997) Modelling the sub-surface damage associated with the machining of particle reinforced MMCs. J Comput Mater Sci 9:99-107.
30. Wen Q, Guo YB, Todd BA (2006) An adaptive FEA method to predict surface quality in hard machining. J Mater Process Technol 173:21-28.
31. Rao SS (1996) Engineering Optimization - Theory and Practice. Wiley and New Age International (P), New Delhi.
32. Deb K (2005) Optimization for Engineering Design - Algorithms and Examples. Prentice-Hall of India, New Delhi.
33. Deb K (2002) Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Singapore.
34. Wang X, Da ZJ, Balaji AK, Jawahir IS (2002) Performance-based optimal selection of cutting conditions and cutting tools in multi-pass turning operations using genetic algorithms. Int J Prod Res 40:2053-2065.
35. Sarvanan R, Asokan P, Vijyakumar K (2003) Machining parameter optimization for turning cylindrical stock into a continuous finished profile using genetic algorithm (GA) and simulated annealing (SA). Int J Adv Manuf Technol 21:1-9.
36. Abburi NR, Dixit US (2007), Multi-objective optimization of multipass turning processes. Int J Adv Manuf Technol 32:902-910.
37. Kennedy J, Eberhart R (1995) Particle swarm optimization, Proceedings of the IEEE international conference on neural networks (Perth, Australia), pp. 1942-1948. Piscataway, NJ.
38. Dorigo M, Maniezzo V, Colorni A (1996) Ant system: optimization by a colony of cooperating agents. IEEE Trans Syst Man Cybern 26:29-41.
39. Vijayakumar K, Prabhaharan G, Asokan P, Saravanan R (2003) Optimization of multi-pass turning operations using ant colony system. Int J Mach Tools Manuf 43:1633-1639.