Development Of Cutter Geometrical Feature For Machining Thin Wall Part

Demand for cost-effective aircrafts fabrication has motivated the aerospace industry to use nontraditional materials and new aircraft structural design. New aircrafts are designed with monolithic component to replace large number of assembled component. For manufacturers, high-performance cutting t...

Full description

Saved in:

Bibliographic Details
Main Author:	Tajry, Mohd Zulhairi
Format:	Thesis
Language:	English
Published:	2017
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://eprints.utem.edu.my/id/eprint/23452/1/Development%20Of%20Cutter%20Geometrical%20Feature%20For%20Machining%20Thin%20Wall%20Part%20-%20Mohd%20Zulhairi%20Tajry%20-%2024%20Pages.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utem-ep.23452
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Tajry, Mohd Zulhairi Development Of Cutter Geometrical Feature For Machining Thin Wall Part
description	Demand for cost-effective aircrafts fabrication has motivated the aerospace industry to use nontraditional materials and new aircraft structural design. New aircrafts are designed with monolithic component to replace large number of assembled component. For manufacturers, high-performance cutting tool is essential as more than 80% of the material is removed to produce the monolithic component. Most of the monolithic components have thin-wall feature with low stiffness and deformation is more likely to occur in its machining process, resulting in dimensional surface errors. Most of the existing research on machining thin-wall component merely focused on the process planning and there was no scientific study on the effects of cutter geometric feature on component failure. Tool geometry has a direct influence on the cutting performance and should be taken into consideration. In this research, due to the importance of machining efficiency, development of new cutter design specifically for machining thin-wall components are studied. This study consists of both experimental and statistic techniques to evaluate the machining performance associated with the cutter geometry for different types of end mill, namely variable helix constant pitch (VHCP), variable helix variable pitch (VHVP) and tabular helix constant pitch (THCP). Based on the established relationship between cutter geometry feature and machining performances, the optimal cutter geometry is determined by using the non-parametric statistical ranking technique. From the experimental results, tool TD3 with 31o/33o/35o helix angle and equal pitch angle of 90o between teeth (THCP) is the most suitable design to be used for machining thin-wall workpiece. In addition, it shows that careful design of the pitch and helix angle combination can increase the machining performances of thin-wall part. The outcome from this research has potential benefits in providing new scientific knowledge on the selection of effective cutter geometry for machining low rigidity components.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Tajry, Mohd Zulhairi
author_facet	Tajry, Mohd Zulhairi
author_sort	Tajry, Mohd Zulhairi
title	Development Of Cutter Geometrical Feature For Machining Thin Wall Part
title_short	Development Of Cutter Geometrical Feature For Machining Thin Wall Part
title_full	Development Of Cutter Geometrical Feature For Machining Thin Wall Part
title_fullStr	Development Of Cutter Geometrical Feature For Machining Thin Wall Part
title_full_unstemmed	Development Of Cutter Geometrical Feature For Machining Thin Wall Part
title_sort	development of cutter geometrical feature for machining thin wall part
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Manufacturing Engineering
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/23452/1/Development%20Of%20Cutter%20Geometrical%20Feature%20For%20Machining%20Thin%20Wall%20Part%20-%20Mohd%20Zulhairi%20Tajry%20-%2024%20Pages.pdf
_version_	1747834048671121408
spelling	my-utem-ep.234522020-07-14T12:26:47Z Development Of Cutter Geometrical Feature For Machining Thin Wall Part 2017 Tajry, Mohd Zulhairi T Technology (General) TJ Mechanical engineering and machinery Demand for cost-effective aircrafts fabrication has motivated the aerospace industry to use nontraditional materials and new aircraft structural design. New aircrafts are designed with monolithic component to replace large number of assembled component. For manufacturers, high-performance cutting tool is essential as more than 80% of the material is removed to produce the monolithic component. Most of the monolithic components have thin-wall feature with low stiffness and deformation is more likely to occur in its machining process, resulting in dimensional surface errors. Most of the existing research on machining thin-wall component merely focused on the process planning and there was no scientific study on the effects of cutter geometric feature on component failure. Tool geometry has a direct influence on the cutting performance and should be taken into consideration. In this research, due to the importance of machining efficiency, development of new cutter design specifically for machining thin-wall components are studied. This study consists of both experimental and statistic techniques to evaluate the machining performance associated with the cutter geometry for different types of end mill, namely variable helix constant pitch (VHCP), variable helix variable pitch (VHVP) and tabular helix constant pitch (THCP). Based on the established relationship between cutter geometry feature and machining performances, the optimal cutter geometry is determined by using the non-parametric statistical ranking technique. From the experimental results, tool TD3 with 31o/33o/35o helix angle and equal pitch angle of 90o between teeth (THCP) is the most suitable design to be used for machining thin-wall workpiece. In addition, it shows that careful design of the pitch and helix angle combination can increase the machining performances of thin-wall part. The outcome from this research has potential benefits in providing new scientific knowledge on the selection of effective cutter geometry for machining low rigidity components. UTeM 2017 Thesis http://eprints.utem.edu.my/id/eprint/23452/ http://eprints.utem.edu.my/id/eprint/23452/1/Development%20Of%20Cutter%20Geometrical%20Feature%20For%20Machining%20Thin%20Wall%20Part%20-%20Mohd%20Zulhairi%20Tajry%20-%2024%20Pages.pdf text en public https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=112954 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Manufacturing Engineering 1. Anderson, M.J. and Whitcomb, P.J., 2007. DOE Simplified: Practical Tools for Effective Experimentation, 2nded,New York: Productivity Press. 2. Altintas, Y. and Wack, M., 2004. Chatter Stability of Metal Cutting and Grinding. CIRP Annals-Manufacturing Technology, 53 (2),pp.619-642. 3. Altintas, Y., D. Montgomery and E. Budak, Dynamic peripheral milling of flexible structures, Journal of Engineering for Industry (Transaction of the ASME) 114 (1992) 137-145. 4. AstakhovVP., 2006. Tribology of Metal Cutting , London: Elsevier. 5. Altintas, Y., Eynian, M. and Onozuka, H., 2008. Identification of dynamic cutting force coefficients and chatter stability with process damping. CIRP Annals - Manufacturing Technology, 57(1), pp.371–374. 6. Altintas,Y., 2000. Manufacturing Automation-Metal Cutting Mechanics:Machine Tool Vibration and CNC Designs, New York: Cambridge University Press. 6, pp. 97. 7. Abrari,F., Elbestawi,M.A. and Spence, A.D., 1998.On the dynamics of ball end milling: Modeling of cutting forces and stability analysis. International Journal of Machine Tools and Manufacture, 3(38), pp.215-237. 8. Aijun, T., Zhanqiang, L. and Hailong, M., 2012. Three-Dimensional Stability Lobes of Milling Thin-Walled Plate with Different Cutter Geometry Parameters. Third International Conference on Digital Manufacturing and Automation, 2, pp.975–978. 9. Antonialli, A. E. Diniz and R. Pederiva, Vibration analysis of cutting force in titanium alloy milling. International Journal of Machine Tools Manufacture 50 (2010) 65-74. 10. Arnaud, Lionel and Gonzalo, Oscar and Seguy, Sébastien and Jauregi, Haritz and Peigné, Grégoire Simulation of low rigidity part machining applied to thinwalled structures. (2011) The International Journal of Advanced Manufacturing Technology, vol. 54 (n° 5-8). pp. 479-488. ISSN 0268 11. Armarego and N.D. Deshpande, Force prediction models and CAD/CAM software for helical tooth milling processes. III. End-milling and slot operations, International Journal of Product Research 32 7 (1994) 1715-1738. 12. Armarego and N.D. Desphande, Computerized predictive cutting models for forces in end milling including eccentricity effects, Annals of CIRP 38/1 (1989) 45–49. 13. ASM Handbook, Vol. 16: Machining, ASM International, Metals Park, OH, (1989) 7-18. 14. B. Wanner, M. Eynian, T. Beno and L. Pejryd, Milling Strategies for Thin-walled Components, Advanced Materials Research Vol 498 (2012) pp 177-182 15. Bahi, S. Nouri, M., Moufki, A., Mansori, M.E. and Molinari, A., 2011. A new friction law for sticking and sliding contacts in machining. Tribiology International, 44(7-8), pp.764–771. 16. Baldoukas, A.K., Soukatzidis, F.A., Demosthenous, G.A. and Lontos, A.E., 2008. Experimental investigation of the effect of cutting depth, tool rake angle and workpiece material type on the main cuttingforce during a turning process. Proceedings of the 3rd International Conference on Manufacturing Engineering (ICMEN). A. Baradeswaran, A. Elaya Perumal, Influence of B4C on the tribological and mechanical properties of Al 7075–B4C composites, Composites Part B Engineering 54 (2013) 146–152 17. Budak and Y. Altintas, Modeling and avoidance of static form errors in peripheral milling of plates, International Journal of Machine Tools and Manufacture 35 (3) (1995) 459–476. 18. Budak, E., 2006. Analytical models for high performance milling. Part I: Cutting forces, structural deformations and tolerance integrity. International Journal of Machine Tools and Manufacture, 46(12-13), pp.1478–1488. 19. Budak E. and Y. Altintas, Peripheral milling conditions for improved dimensional accuracy, International Journal of Machine Tools and Manufacture 34 (1994) 907-918. 20. Budak E., Y. Altintas and E.J.A. Armarego, Prediction of milling force coefficients from orthogonal cutting data, Trans. ASME Journal of Manufacturing Science and Engineering 118 (1996) 216–224. 21. Baskar, N., Asokan, P., Saravanan, R. and Prabhaharan, G., 2006. Selection of optimal machining parameters for multi-tool milling operations using a memetic algorithm. Journal of Material Processing Technology, 174, pp.239–249. 22. Biermann, D., Zabel, A., Michelitsch, T. and Kersting, P., 2007. Intelligent process planning methods for the manufacturing of molds. International Journal of Computer Applications in Technology, 4, pp.64-70. 23. Chatelain, J. and Zaghbani, I., 2012. A Comparison of Special Helical Cutter Geometries Based on Cutting Forces for the Trimming of CFRP Laminates. International Journal of Mechanics, 6 (1), pp.52-59. 24. Chatelain, J. and Zaghbani, I., 2012. Effect of Tool Geometry Special Features on Cutting Forces of Multilayered CFRP Laminates. Journal of Composite Materials, pp. 85–90. 25. Cheng K, Huo D, Micro-Cutting: Fundamentals and Applications, John Wiley & Sons. Chichester, West Sussex, United Kingdom. 2013. ISBN 9780470972878. 26. DC Montgomery, 2009. Design and Analysis of Experiment,7th ed., Asia: John Wiley & Sons. 27. Dean, A.M. and Lewis, S.M., 2002. Comparison of group screening strategies for factorial experiments. Journal of Computational Statistics & Data Analysis, 39, pp.287-297. 28. Denkena, B., Böß. V., Nespor, D. and Samp, A., 2011. Kinematic and Stochastic Surface Topography of Machined TiAl6V4-Parts by means of Ball Nose End Milling. Procedia Engineering, 19, pp.81-87. 29. DeVor, W.A. Kline and W. J. Zdeblick, Mechanistic model for the force system in end milling with application to machining airframe structures, Manufacturing Engineering Transactions and North American Manufacturing Research Conference, 8th; Rolla; Mo (1980) 297-303. 30. Dogra, M., Sharma, V.S. and Dureja, J., 2011. Effect of tool geometry variation on finish turning – A Review. Journal of Engineering Sciences and Technology Review, 4(1), pp.1–13. 31. Ding, H., Bi, Q.Z., Zhu, L.M. and Xiong, Y.L., 2010. Tool path generation and simulation of dynamic cutting process for five-axis NC machining. Chinese Science Bulletin, 55 (30), pp.3408–3418. 32. Edes B., Helical tool geometry in stability predictions and dynamic modelling of milling, Master’s thesis, University of Missouri Columbia, 2007. 33. Elbestawi and R. Sagherian, Dynamics modelling for the prediction of surface errors in the milling of thin-walled sections, Journal of Materials Processing Technology 25 (1991) 215-228. 34. Engin, S. and Altintas, Y., 1998. Generalized modeling of milling mechanics and dynamics: part i - helical end mills. International Journal of Machine Tools and Manufacture, 41, pp. 2195-2212. 35. Endres W.J., R.E. Devor and S.G. Kapoor, A dual-mechanism approach to the prediction of machining forces: Part 1 Model development and calibration. Manufacturing Science and Engineering, ASME PED 64 (1993) 563–576. 36. FussellB. and K. Srinivasan, An investigation of the end milling process under varying machining conditions, Journal of Engineering for Industry, Vol. 111 (1989) 27-36. 37. Gang Jin, Zhanjie, Dong li, Stability analysis of milling with variable helix cutter using an updated full-discretization method, Proceedings of the International Conference on Energy Equipment Science and Engineering, (ICEESE 2015), PP. 2263-2267. 38. H. B. Lacerda and LIMA, V. T.. Evaluation of cutting forces and prediction of chatter vibrations in milling. J. Braz. Soc. Mech. Sci. & Eng.[online]. 2004, vol.26, n.1, pp.74-81. ISSN 1678-5878. 39. Imani, B.M., Sadeghi, S.M. and Nasrabadi, M.K., 2008. Effect of Helix Angle Variation on Stability of Low Immersion Milling. IUST International Journal of Engineering Science, 19(5), pp.112-115. 40. Józef Kuczmaszewski, Paweł Pieśko, Magdalena Zawada-Michałowska, Influence of Milling Strategies of Thin-walled Elements on Effectiveness of their Manufacturing, 7th International Conference on Engineering, Project, and Production Management, Procedia Engineering 182 ( 2017 ) 381 – 386 41. Jin X, Altintas Y. Chatter Stability Model of Micro-Milling With Process Damping. J. Manuf. Sci. Eng. 2013; 135(3):031011-031011-9. doi:10.1115/1.4024038. 42. JP Davim, 2010. Surface Integrity in Machining, London: Springer. 43. JP Davim, 2008. Machining: Fundamentals and Recent Advances, London: Springer. 44. Kalpakjian, S. and Schmid, S.R., 2014. Manufacturing Processes for Engineering Materials–5th Edition. agenda, 12, p.1. 45. Kalpakjian, S. and Schmid, R.S., 2010. Manufacturing Engineering Technology. Malaysia: Prentice Hall. pp. 973-979. 46. Kapoor S.G., R.E. DeVor, R. Zhu, R. Gajjela, G. Parakkal and D. Smithey, Development of mechanistic models for the prediction of machining performance: model building methodology, Machining Science and Technology 2 (1998) 213–238. 47. K. B. Powell, Cutting performance and stability of helical endmills with variable pitch, Ph.D. thesis, University of Florida, Gainesville, FL, USA (2008). 48. Khairul Akmal Shamsuddin, A. R. Ab-Kadir, Mohd Hairizal Osman, A Comparison of Milling Cutting Path Strategies for Thin-Walled Aluminium Alloys Fabrication, The International Journal Of Engineering And Science (IJES), Vol. 2, P.P 01-08 (2013). 49. Kline W.A., R.E. DeVor and J.R. Undberg, The prediction of cutting forces in end milling with application to cornering cut, International Journal of Machine Tool Design and Research 22 (1982) 7–22. 50. Kivanc, E.B. and Budak, E., 2004. Structural modeling of end mills for form error and stability analysis. International Journal of Machine Tools and Manufacture, 44(11), pp.1151–1161. 51. Kim, J.H., Park, J.W. and Ko, T.J., 2008. End mill design and machining via cutting simulation. Computer -Aided Design, 40, pp.324–333. 52. Kline, R.E. DeVor and I.A. Shareef, The prediction of surface accuracy in end milling, ASME J. Eng. Ind. 104 (1982) 272-278 53. Korn, D. 2005, Optimize Cutting Efficiency, Optimize Throughput. [Online]. Available at: http://www.mmsonline.com/articles/optimize-cutting-efficiency-optimize-throughput [Accessed on 24 November 2011] 54. Ku, Harry S. and Chia, Wee Chong (2006) Design of multi-purpose carbide end mill. Institution of Engineers, Malaysia. Journal, 67 (2). pp. 55. Ku, H. and Chia, W.C., 2006. Design of Multi-Purpose Carbide End Mill. Malaysia Journal, 67(2), pp.34 - 40. 56. Kosaraju, S., Anne,V.G. and Ghanta,V.R., 2011. Effect of Rake Angle and Feed Rate on Cutting Forces in an Orthogonal Turning Process. Proceeding of International Conference on Trends in Mechanical and Industrial Engineering, Bangkok. 57. Lawson, J.S. and Erjavec, J., 2000. Modern Statistics for Engineering and Quality Improvement. 1st ed., Duxbury: Pacific Grove. 58. Li H.Z., W.B. Zhang and X.P. Li, Modelling of cutting forces in helical end milling using a predictive machining theory, International Journal of Mechanical Sciences 43 (2001) 1711-1730. 59. Liu, X.-W., Cheng, K., Webb, D. and Luo, X-C., 2002. Prediction of cutting force distribution and its influence on dimensional accuracy in peripheral milling. International Journal of Machine Tools and Manufacture, 42(7), pp.791–800. 60. Lo, S., 2000. An analysis of cutting under different rake angle using the finite element method. Journal of Processing Technology, 105, pp.143-151. 61. Liu X., Jun MBG., DeVor RE, and Kapoor SG. Cutting mechanisms and their influence on dynamic forces, Vibrations and stability in micro-endmilling. ASME Conf. Proc. 2004; 47136: 583−592. 62. Liu J. Fixture design for thin-walled parts, Master’s Thesis, University of Manitoba, Winnipeg, Canada, (1993). 63. M. Popma, Computer aided process planning for high-speed milling of thin-walled parts, PhD. Thesis, University of Twente, Netherlands, (2010). 64. M. Wan , W.H. Zhang, G.H. Qin, Z.P. Wang, Strategies for error prediction and error control in peripheral milling of thin-walled workpiece, International Journal of Machine Tools & Manufacture 48 (2008) 1366– 1374 65. Majed Masmali, Philip Mathew, An analytical approach for machining thin-walled workpieces, 16thCIRP Conference on Modelling of Machining Operations, Procedia CIRP 58 ( 2017 ) 187 – 192. 66. Maana and B. Bhattacharayya, A study on machinability of Al/SiC-MMC, Journal of Material Processing Technology, Vol. 140 (2003) 711-716. 67. Mustafizul Karim, A.N., Lajis, M.A. and Nurul Amin, A.K.M., 2011. Multi-Criteria Optimization in End Milling of AISI D2 Hardened Steel Using Coated Carbide Inserts. Advanced Materials Research, 264-265, pp.907–912. 68. Myers, R.H., Montgomery, D.C. and Anderson-Cook, C.M., 2009. Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 3rd ed., New Jersey: John Wiley and Sons, Inc. 69. Montgomery, D. and Altintas, Y., 1991.Mechanism of Cutting Force and Surface Generation in Dynamic Milling, Journal of Engineering for Industry, 113 (2), pp. 160-168. 70. N. D. Sims, B. Mann, and S. Huyanan, “Analytical prediction of chatter stability for variable pitch and variable helix milling tools,” Journal of Sound and Vibration, vol. 317, no. 3–5, pp. 664–686, 2008 71. Ning, W. Zhigang, J. Chengyu and Z. Bing, Finite element method analysis and control stratagem for machining deformation of thin-walled components, Journal of Material Processing Technology, Vol. 139 (2003) 332-336. 72. ObikawaT. and E. Usui, Computational machining of titanium alloy-finite element modeling and a few results, Journal of Manufacturing Science and Engineering (Transactions of ASME) 118 (1996) 208-215. 73. Pham, T.T. and Ko, S.L., 2010. A practical approach for simulation and manufacturing of a ball-end mill using a 5-axis CNC grinding machine. Journal Mechanical Sciences Technology, 24, pp. 159-163. 74. Pompa, M., 2010, Computer Aided Process Planning for High-Speed Milling of Thin-Walled Parts: Strategy-Based Support, Ph.D. University of Twente, Enschede, the Netherlands. 75. R. Izamshah R.A, John P.T Mo and Songlin Ding, Finite Element Analysis of Machining Thin-Wall Parts, Key Engineering Materials Vol 458 (2011) pp 283-288. 76. R. Izamshah, Yuhazri, M. Y., Hadzley, M., Amran, M. and Subramonian, S., 2013. Effects of End Mill Helix Angle on Accuracy for Machining Thin-Rib Aerospace Component. Applied Mechanics and Materials, 315, pp.773–777 77. R. Izamshah R.A, John P.T Mo, Songlin D., Deflection prediction for machining titanium aerospace components, Journal of Mechanical Engineering and Technology Vol. 3 No. 1 (2011) (accepted for publication). 78. R. Izamshah R.A, John P.T Mo, Songlin D., Hybrid deflection prediction on machining thin-wall monolithic aerospace component, Journal of Engineering Manufacture (2011) (accepted for publication). 79. Rao. P.N., 2009. Manufacturing Technology, 2nd ed., New Delhi: Tata McGraw-Hill Publishing Company Limited. 80. Ravindran. A., Ragsdell, K. M. and Reklaitis, G.V., 2007. Engineering Optimization: Methods and Applications, 2nd ed., John Wiley and Sons, Inc. 81. Ratchev, W. Huang, S. Liu and A.A Becker, Milling error prediction and compensation in machining of low-rigidity parts, International Journal of Machine Tools and Manufacture 44 (2004) 1629-1641. 82. Ratchev, S. Liu, W. Huang and A.A Becker, A flexible force model for end milling of low-rigidity parts, International Journal of Machine Tools and Manufacture Vol. 153-154 (2004) 134-138. 83. Ratchev, E. Govender, S. Nikov, K. Phuah, and G. Tsiklos, Force and deflection modelling in milling of low-rigidity complex parts, Journal of Material Processing Technology, Vol. 143-144 (2003) 796-801. 84. Ratchev, W. Huang, S. Liu, and A. A. Becker, Modelling and simulation environment for machining of low-rigidity components, Journal of Materials Processing Technology, Vol. 153-154 No. 10 (2004) 67-73. 85. Ratchev, S. Nikov, and I. Moualek, Material removal simulation of peripheral milling of thin wall low-rigidity structures using FEA, Advances in Engineering Software, Vol. 35 No. 8-9 (2004) 481-491. 86. Ratchev, S. Liu, and A. A. Becker, Error compensation strategy in milling flexible thin-wall parts, Journal of Materials Processing Technology, Vol. 162-163 (2005) 673-681. 87. Ratchev, S. Liu, W. Huang and A. A. Becker, An advanced FEA based force induced error compensation strategy in milling, International Journal of Machine Tools and Manufacture Vol. 46 No. 5 (2006) 542-551. 88. S. Bolsunovskiy, V. Vermel, G. Gubanov, I. Kacharava, A. Kudryashov, Thin-Walled Part Machining Process Parameters Optimization based on Finite-Element Modeling of Workpiece Vibrations, 14th CIRP Conference on Modeling of Machining Operations Procedia CIRP 8 (2013) 276-280. 89. Songlin D., R. Izamshah R.A, John P.T Mo, Y. Zhu, The development of an economic model for the milling of titanium alloys, Journal Key Engineering Materials Vol. 458 (2011) pp 362-367. 90. Schmitz T.L. and K. S. Smith, ‘Milling dynamics’ Machining Dynamics, Springer Science & Business Media, NY, USA (2009). 91. Sreejith, P.S. and Ngoi, B.K.A., 2000. Dry machining : Machining of the future. Journal of Materials Processing Technology, 101, pp.287–291. 92. Sagherian and M.A. Elbestawi, A simulation system for improving machining accuracy in milling, Computers in Industry 14 (1990) 293-305. 93. Steward, Brown, The Interrelationship of Shear and Friction Processes in Machining Under, Proceedings of the Thirteenth International Machine Tool Design and Research Conference(1972) pp 13-18 94. Sutherland and R.E. DeVor, An improved method for cutting force and surface error prediction in flexible end milling systems, Journal of Engineering for Industry (Transaction of the ASME) 108 (1986) 269-279. 95. Turgut, H. Çinici, I. Şahin and T. Findik, Study of cutting force and surface roughness in milling of Al/Sic metal matrix composites, Scientific Research and Essays Vol. 6(10) (2011) 2056-2062. 96. Upadhyaya, G. S. (1998). Cemented Tungsten Carbides. USA: Noyes Publications. 97. W. Tongyue, H. Ning and L. Liang, Stability of milling of thin-walled workpiece, International Conference on Mechanic Automation and Control Engineering (MACE) (2010) 3408-3411 98. Wan, W. Zhang, G. Tan and G. Qin, Systematic simulation procedure of peripheral milling process of thin-walled workpiece, Journal of Material Processing Technology, Vol. 197 (2008) 122-131. 99. Wan, W. Zhang, G. Qin and Z. Wang, Strategies for error prediction and error control in peripheral milling of thin-walled workpiece, International Journal of Machine Tools and Manufacture, Vol.48 (2008) 1366-1374. 100. Wan, W.H. Zhang, G. Tan and G.H Qin, New cutting force modelling approach for flat end mill, Chinese. J. of Aeronautics 20 (2007) 282-288. 101. Yang, S., Chang, S., Lee, Y., Kim, H. and Ko, T., 2003. Analysis of Friction Behaviors In End Milling Process. Journal Material Science and Technology, 19(1), pp.237-238. 102. Yangui, H., Zghal, B., Kessentini, A., Chevallier, G., Riviere, A., Haddar, M. and Karra, C., 2010. Influence of Cutting and Geometrical Parameters on the Cutting Force in Milling. Engineering, 2(10),pp.751-761. 103. Yih-fong, T. and Ming-der, J., 2005. Dimensional quality optimisation of high-speed CNC milling process with dynamic quality characteristic. Robotics and Computer-Integrated Manufacturing,21(6), pp.506–517. 104. Zatarain, M., Munoa, J., Peigne, G. and Insperger, T., 2006. Analysis of the Influence of Mill Helix Angle on Chatter Stability. Annals of CIRP, 55(2), pp.1–4. 105. Zaman, M.T., Kumar, A.S., Rahman, M. and Sreeram, S., 2006. A three-dimensional analytical cutting force model for micro end milling operation. International Journal of Machine Tools and Manufacture, 46(3-4), pp.353–366. 106. Zelinski, P. 2009. Modern Machine Shop: How To Machine Aircraft Titanium: The 8-To-1 Rule For Finishing Walls And Ribs. [Online] Available at: http://www.mmsonline.com/articles/how-to-machine-aircraft-titanium-the-8-to-1-rule-for-finishing-walls-and-ribs [Accessed on 17 November 2011].

Development Of Cutter Geometrical Feature For Machining Thin Wall Part

Similar Items