dc.identifier.citation |
1. Hastings, W.F., and Oxley, P.L.B, ―Predicting tool life from fundamental work material properties and cutting conditions‖, Annals of the CIRP, pp. 33–38(1976). 2. Opitz, H. and Konig, W., ―On the wear of cutting tools”, Proceedings of the 8th International MTDR Conference, pp. 173–190(1967). 3. Wright, P.K, ―Correlation of tool wear mechanisms with slip line fields for cutting in: K. Ludema (Ed.)‖, Wear of Materials, ASME, pp. 482–488(1981). 4. Shaw, M.C., ―Metal Cutting Principles‖, Clarendon Press, Oxford (1984). 5. Kurimoto, T. and Barrow, G., ―The influence of aqueous fluids on the wear characteristics and life of carbide cutting tools‖, Annals of the CIRP, pp. 19– 25 (1982). 6. Usui, E., ―Progress of predictive theories in metal cutting‖, International Journal of Japan Society of Mechanical Engineers, Vol. 31 (2), pp. 363–369 (1998). 7. Taylor, F.W., ―On the art of metal cutting‖, Trans. ASME, Vol. 28, pp. 31– 350(1907). 8. Childs, T.H.C., Maekawa, K., Obikawa, T. and Yamane, Y., “Metal Machining: Theory and Applications”, Arnold Publications, 2000. 9. Oxley, P.L.B., ―The Mechanics of Machining: An Analytical Approach to Assessing Machinability”, Ellis Horwood, Chichester, (1989). 10. Trent, E.M. and Wright, P.K, ―Metal Cutting‖, 4th Edition, Butterworth-Heinemann, Boston, (2000). 11. P. Mathew, ―Use of predicted cutting temperatures in determining tool performance‖, International Journal on Machine Tools and Manufacture, Vol. 29 (4), pp.481– 497(1989). 12. Mansori, M. El. and Klamecki, B.E., ―Magnetic Field Effects in Machining Processes and on Manufactured Part Mechanical Characteristic‖, Journal of Manufacturing Science and Engineering, Vol. 128, pp. 137 – 145 (2006). 13. Mansori, M.El., Pierron, F. and Paulmier, D., ―Reduction of tool wear in metal cutting using external electromotive sources‖, Surface and Coatings Technology, Vol. 163 - 164, pp. 472-477( 2003). 14. Kalpakjian, S. and Schmid, S.R., ―Manufacturing Processes for Engineering Materials”, 5th Edition, Pearson Education Inc., pp. 440-447(2009). 15. Ginta, T.L, Amin, A.K.M.N. and Patwari, A.U., ―Tool Wear Morphology And Chip Segmentation In End Milling Titanium Alloy Ti-6AL-4V”, Proceedings of CUTSE Int. Conference, (2008). 92 16. Matsumoto, Y., Hashimoto, F. and Lahoti, G., ―Surface Integrity Generated By Precision Hard Turning‖, Annals of the CIRP, Vol. 48(1), pp. 59-62 (1999). 17. Thiele, J. D., and Melkote, S. N.,―Effect Of Cutting Edge Geometry And Work piece Hardness On Surface Generation In The Finish Hard Turning Of AISI 52100 Steel,‖ Journal of Materials Processing Technology, Vol. 94, pp. 216-226 (1999). 18. Dawson, T. G. and Kurfess, T. R.,―Machining Hardened Steel With Ceramic-Coated And Uncoated CBN Cutting Tools‖, Technical Paper -Society of Manufacturing Engineers, MR 02-156, pp. 1-7 (2002). 19. Özel, T., Hsu, T. K. and Zeren, E.,―Effects Of Cutting Edge Geometry, Workpiece Hardness, Feed Rate And Cutting Speed On Surface Roughness And Forces In Finish Turning Of Hardened AISI H13 Steel,‖ International Journal of Advanced Manufacturing Technology, (2004). 20. Braghini, A. Jr., and Coelho, R.T, ―An Investigation Of The Wear Mechanisms Of Polycrystalline Cubic Boron Nitride (PCBN) Tools When End Milling Hardened Steels At Low/Medium Cutting Speeds,‖ International Journal on Advanced Manufacturing Technology, Vol. 17, pp. 244-257 (2001). 21. Kumar, S., Durai, A.R. and Sornakumar, A. ―The Effect Of Tool Wear On Tool Life Of Alumina-Based Ceramic Cutting Tools While Machining Hardened Martensitic Stainless Steel,‖ Journal of Materials Processing Technology, Vol. 173, pp. 151-156 (2006). 22. Ghani, J.A., Choudhury, I.A. and Hassan, H.H., ―Application of taguchi method in the optimization of end milling parameters,‖ Journal of Materials Processing Technology, Vol. 145, pp. 84-92 (2004). 23. Amin, A. K. M. N., Hafiz, A. M. K., Lajis, M. A. and Patwari, A. U., ―Prediction of tool life and experimental investigation during hot milling of AISI H13 tool steel,‖ Advanced Materials Research, Vol. 83-86, pp. 190-197 (2010). 24. Takeyama, H. And Murata, R., ―Basic Investigation of Tool Wear‖, Trans.ASME, J. Eng. Ind. Vol. 85, pp. 33–38 (1963). 25. Arsecularatne, J.A., ―On prediction of tool life and tool deformation conditions in machining with restricted contact tools‖, International Journal of Machine Tools and Manufacture, Vol. 43, pp. 657–669 (2003). 26. Arsecularatne, J.A., ―Prediction of tool life for restricted contact and grooved tools based on equivalent feed”, International Journal of Machine Tools and Manufacture, Vol. 44, pp. 1271–1282 (2004). 93 27. Kitagawa, T., Maekawa, K., Shirakashi, T. and Usui, E., ―Analytical prediction of flank wear of carbide tools in turning plain carbon steels (part 1)‖, Japanese Society of Precision Engineering, Vol. 22 (4), pp. 263–269 (1988). 28. Iwata, K., Ashara, J. and Okushima, K., ―On the mechanism of built-up edge formation in cutting‖, Annalsof the CIRP, Vol.19 (2), pp. 323–330 (1971). 29. Lin, W. S., Lee B. Y., Wu C. L., ―Modeling the surface roughness and cutting force for turning”, Journal of Materials Processing Technology, Vol. 108, pp. 286-293(2001). 30. Lee, S. S. and Chen, J. C., ―Online surface roughness recognition system using artificial neural networks system in turning operations‖, International Journal of Advanced Manufacturing Technology, Vol. 22, pp. 498–509 (2003). 31. Kirby, E. D., Zhang, Z. and Chen, J. C., ―Development of An Accelerometer based surface roughness Prediction System in Turning Operation Using Multiple Regression Techniques‖, Journal of Industrial Technology, Vol. 20 (4), pp. 1-8 (2004). 32. Özel, T. and Karpat, Y.,―Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks‖, International Journal of Machine Tools and Manufacture, Vol.45, pp. 467–479 (2005). 33. Singh, H. and Kumar, P., ―Optimizing Feed Force for Turned Parts through the Taguchi Technique‖, Sadhana, Vol. 31(6), pp. 671–681(2006). 34. Ahmed, S. G., ―Development of a Prediction Model for Surface Roughness in Finish Turning of Aluminium‖, Sudan Engineering Society Journal,Vol. 52 (45), pp. 1-5 (2006). 35. Abburi, N. R. and Dixit, U. S., ―A knowledge-based system for the prediction of surface roughness in turning process”, Robotics and Computer-Integrated Manufacturing, Vol. 22, pp. 363–372 (2006). 36. Zhong, Z. W., Khoo, L. P. and Han, S. T., ―Prediction of surface roughness of turned surfaces using neural networks”, International Journal of Advance Manufacturing Technology, Vol. 28, pp. 688–693(2006). 37. Mahmoud, E. A. E. and Abdelkarim, H. A.,―Optimum Cutting Parameters in Turning Operations using HSS Cutting Tool with 450 Approach Angle‖, Sudan Engineering Scoeiety Journal, Vol. 53 (48), pp. 25-30 (2006). 38. Doniavi, A., Eskanderzade, M. and Tahmsebian, M.,―Empirical Modeling of Surface Roughness in Turning Process of 1060 steel using Factorial Design Methodology‖, Journal of Applied Sciences, Vol. 7 (17), pp. 2509-2513 (2007). 94 39. Kassab, S. Y. and Khoshnaw, Y. K., ―The Effect of Cutting Tool Vibration on Surface Roughness of Work piece in Dry Turning Operation”, Engineering and Technology, Vol. 25(7), pp. 879-889 (2007). 40. Al-Ahmari, A. M. A., ―Predictive machinability models for a selected hard material in turning operations‖, Journal of Materials Processing Technology, Vol. 190, pp. 305– 311(2007). 41. Natarajan, U., Arun, P. and Periasamy, V. M., ―On-line Tool Wear Monitoring in Turning by Hidden Markov Model (HMM)”, Institution of Engineers (India) Journal (PR), Vol. 87, pp. 31-35 (2007). 42. Sahoo, P., Barman, T. K. and Routara, B. C., ―Taguchi based practical dimension modeling and optimization in CNC turning‖, Advance in Production Engineering and Management, Vol. 3( 4), pp. 205-217 (2008). 43. Wang, M. Y. and Lan, T. S.,―Parametric Optimization on Multi-Objective Precision Turning Using Grey Relational Analysis”. Information Technology Journal, Vol. 7, pp.1072-1076 (2008). 44. Thamma, R., (2008), ―Comparison between Multiple Regression Models to Study Effect of Turning Parameters on the Surface Roughness‖, Proceedings of the IJME International Conference, ISBN 978-1-60643-379-9, Paper 133, ENG 103, pp. 1- 12(2008). 45. Biswas, C. K., Chawla, B. S., Das N. S., Srinivas, E. R. K. N. K.,―Tool Wear Prediction using Neuro-Fuzzy System‖, Institution of Engineers (India) Journal (PR), Vol. 89, pp. 42-46 (2008). 46. Bagchi, P.K., Ghosh, A., ―Effect of magnetization on wear characteristics of cutting tools‖, Institution of Engineers (India) Journal (PR), Vol. 50, pp. 264-269 (1970). 47. Bagchi, P.K., Ghosh, A., ―Mechanism of a cutting tool in presence of a magnetic field‖, Indian Journal of Technology, Vol. 9, pp. 165-168 (1971). 48. Chakrabarti, S., ―Why Magnetic Cutting Tool Has Greater Life- Probable Cause‖, ‖, Institution of Engineers (India) Journal (PR), Vol. 52, pp. 118-123 (1971). 49. Pal, D.K. and Gupta, N.C, ―some experimental studies on drill wear in the presence of alternating magnetic field‖, Institution of Engineers (India) Journal (PR), Vol.53, pp. 195-200 (1973). 50. M.K. Muju, A. Ghosh, ―Effect of magnetic field on diffusive wear of cutting tool‖, Wear, Vol. 58, pp. 137-145 (1980). 95 51. Kang, T. Y., ―Effect of Magnetic Field on Tool life in Milling‖, Thesis- submitted to National University of Singapore (2006/2007). 52. Patwari, A. U., Arif, M. D. and Mahmood, M.N., ―An innovative application of Digital Image Processing to Analyze Tool wear in Turning Operation‖, Submitted to INRIT 2012, Thailand (2012). 53. Patwari, A.U., Arif, M. D., Chowdhury, S. I. And Chowdhury, N.A., “Identification of Machined surfaces using Digital Image processing” International Journal of Engineering, Issue X (2012), Vol. 1, pp. 213-218 (2012). 54. User Guide of Digital Strain Display, Model- SM 1010, TQ Education and Training Ltd. (2007). |
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