Open Access
Issue
Manufacturing Rev.
Volume 5, 2018
Article Number 15
Number of page(s) 12
DOI https://doi.org/10.1051/mfreview/2018014
Published online 21 November 2018
  1. D.A. Lucca, Y.W. Seo, R. Komanduri, Effect of tool edge geometry on energy dissipation in ultraprecision machining, CIRP Annals 42 (1993) 83–86 [CrossRef] [Google Scholar]
  2. N. Fang, Slip-line modeling of machining with a rounded-edge tool: Part I: new model and theory, J. Mech. Phys. Solids 51 (2003) 715–742 [CrossRef] [Google Scholar]
  3. M. Masuko, Fundamental research on the metal cutting-second report, Bull. Japan Soc. Mech. Eng. 118 (1956) 371 [Google Scholar]
  4. P. Abrecht, New developments in the theory of the metal-cutting process, J. Eng. Ind 82 (1960) 348 [CrossRef] [Google Scholar]
  5. M.C. Shaw, The size effect in metal cutting, Sadhana 28 (2003) 875–896 [CrossRef] [Google Scholar]
  6. K. Nakayama, K. Tamura, Size effect in metal-cutting force, J. Eng. Ind. 90 (1968) 119–126 [CrossRef] [Google Scholar]
  7. A.G. Atkins, Modelling metal cutting using modern ductile fracture mechanics: quantitative explanations for some longstanding problems, Int. J. Mech. Sci. 45 (2003) 373–396 [Google Scholar]
  8. S. Subbiah, S.N. Melkote, The size-effect in micro-cutting at low and high rake angles, Proceedings of 2004 ASME International Mechanical Engineering Congress and Exposition (IMECE04), 2004, pp. 485–493 [Google Scholar]
  9. T. Zhang, Z.Q. Liu, Z.Y. Shi, C.H. Xu, Investigation on size effect of specific cutting energy in mechanical micro-cutting, Int. J. Adv. Manuf. Technol. 91 (2017) 2621–2633 [CrossRef] [Google Scholar]
  10. N. Chen, M.J. Chen, C.Y. Wu, X.D. Pei, Cutting surface quality analysis in micro ball end-milling of KDP crystal considering size effect and minimum undeformed chip thickness, Precis. Eng. 50 (2017) 410–420 [CrossRef] [Google Scholar]
  11. B. Liu, F.Z. Fang, R. Li, Z.W. Xu, Y.S. Liang, Experimental study on size effect of tool edge and subsurface damage of single crystal silicon in nano-cutting, Int. J. Adv. Manuf. Technol. 98 (2018) 1093–1101 [CrossRef] [Google Scholar]
  12. M.C. Shaw, New developments in grinding, Carnegie Press, Pittsburgh, 1972 [Google Scholar]
  13. H.W. Park, S.Y. Liang, Force modeling of micro-grinding incorporating crystallographic effects, Int. J. Mach. Tools Manuf. 48 (2008) 1658–1667 [CrossRef] [Google Scholar]
  14. E.O. Hall, The deformation and ageing of mild steel: III discussion of results, Proc. Phys. Soc. B 64 (1951) 747–753 [Google Scholar]
  15. N.J. Petch, The cleavage strength of polycrystals, J. Iron Steel Inst. 174 (1953) 25–28 [Google Scholar]
  16. D.A. Hughes, N. Hansen, Microstructure and strength of nickel at large strains, Acta Mater. 48 (2000) 2985–3004 [CrossRef] [Google Scholar]
  17. S.M. Byon, Y. Lee, Deformation analysis of micro-sized material using strain gradient plasticity, J. Mech. Sci. Technol. 20 (2006) 621–633 [CrossRef] [Google Scholar]
  18. K. Ueda, K. Iwata, Chip formation mechanism in single crystal cutting of β-brass, CIRP Ann. Manuf. Technol. 29 (1980) 41 [CrossRef] [Google Scholar]
  19. X. Wu, L. Li, N. He, M. Zhao, Z. Zhan, Investigation on the influence of material microstructure on cutting force and bur formation in the micro cutting of copper, Int. J. Adv. Manuf. Technol. 79 (2015) 321–327 [CrossRef] [Google Scholar]
  20. B.L. Lawson, N. Kota, O.B. Ozdoganlar, Effects of crystallographic anistropy on orthogonal micromachining of single-crystal aluminum, J. Manuf. Sci. Eng. 130 (2008) 031116 [CrossRef] [Google Scholar]
  21. J.Z. Li, B. Song, S.F. Wen, Y.S. Shi, A new insight of the relationship between crystallographic orientation and micro-cracks of Ti–47Al–2Cr–2Nb alloy, Mater. Sci. Eng. A 731 (2018) 156–160 [CrossRef] [Google Scholar]
  22. F. Xu, F. Fang, Y. Zhu, X. Zhang, Study on crystallographic orientation effect on surface generation of aluminum in nano-cutting, Nanoscale Res. Lett. 12 (2017) 289 [CrossRef] [Google Scholar]
  23. M. Zhao, X. Ji, B. Li, S.Y. Liang, Investigation on the influence of material crystallographic orientation on grinding force in the micro-grinding of single-crystal copper with single grit, Int. J. Adv. Manuf. Technol. 90 (2016) 3347–3355 [CrossRef] [Google Scholar]
  24. W. Tayon, R. Crooks, M. Domack, J. Wagner, A.A. Elmustafa, EBSD study of delamination fracture in Al–Li alloy2090, Exp. Mech. 50 (2008) 135–143 [CrossRef] [Google Scholar]
  25. B.Y. Cao, D.H. Lassila, M.S. Schneider, B.K. Kad, C.X. Huang, Y.B. Xu, D.H. Kalantar, B.A. Remington, M.A. Meyers, Effect of shock compression method on the defect substructure in monocrystalline copper, Mater. Sci. Eng. A 409 (2005) 270–281 [CrossRef] [Google Scholar]
  26. K.J. Frutschy, R.J. Clifton, High-temperature pressure-shear plate impact experiments on OFHC copper, J. Mech. Phys. Solids 46 (1998) 1723–1744 [CrossRef] [Google Scholar]
  27. C. MTI, Available at http://www.Mtixtl.Com/cucrystalsubstratessinglecrystal.Aspx, 2018 [Google Scholar]
  28. H. Conrad, Grain-size dependence of the flow stress of Cu from millimeters to nanometers, Metall. Mater. Trans. A 35A (2004) 15 [Google Scholar]
  29. T. Suzuki, I.I. Yonenaga, H.O. Kirchner, Yield strength of diamond, Phys. Rev. Lett. 75 (1995) 3470–3472 [CrossRef] [Google Scholar]
  30. M.R. Staker, D.L. Holt, The dislocation cell size and dislocation density in copper deformed at temperatures between 25 and 700°C, Acta Metall. 20 (1972) 569–579 [CrossRef] [Google Scholar]
  31. F.H. Abed, G.Z. Voyiadjis, Plastic deformation modeling of AL-6XN stainless steel at low and high strain rates and temperatures using a combination of bcc and fcc mechanisms of metals, Int. J. Plast. 21 (2005) 1618–1639 [CrossRef] [Google Scholar]
  32. G.R. Johnson, W.H. Cook, A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures, Proceedings of the Seventh International Symposium on Ballistics, The Hague, 1983, pp. 541–547 [Google Scholar]
  33. P.L.B. Oxley, The mechanics of machining: an analytical approach to assessing machinability, Halsted Press New York, UK, 1989 [Google Scholar]
  34. S.A. Tabei, Modeling of microstructural evolutions in machining of dual phase alloys, Georgia Institute of Technology, Atlanta, USA, 2015 [Google Scholar]
  35. E. Schmidt, W. Boas, Plasticity of crystal, Springer, Berlin, 1950 [Google Scholar]
  36. L. Cong, China metallurgical encyclopedia, metal and plastic processing, Metallurgical Industry Press, Beijing, China, 1999 [Google Scholar]
  37. J.A. Badger, A.A. Torrance, A comparison of two models to predict grinding forces from wheel surface topography, Int. J. Mach. Tools Manuf. 40 (2000) 1099–1120 [CrossRef] [Google Scholar]
  38. S.S. Law, S.M. Wu, A.M. Joglekar, On building models for the grinding process, J. Eng. Ind. 95 (1973) 983–991 [CrossRef] [Google Scholar]
  39. M.C. Shaw, New developments in grinding, Carnegie Press, Pittsburgh, 1972 [Google Scholar]
  40. R.L. Hecker, S.Y. Liang, X.J. Wu, P. Xia, D.G.W. Jin, Grinding force and power modeling based on chip thickness analysis, Int. J. Adv. Manuf. Technol. 33 (2006) 449–459 [CrossRef] [Google Scholar]
  41. S. Malkin, Grinding technology: theory and applications of machining with abrasives, Ellis Horwood Series in Mechanical Engineering, American Society of Civil Engineers, Reston, VA, 1989 [Google Scholar]
  42. L. Lichun, F. Jizai, J. Peklenik, A study of grinding force mathematical model, CIRP Annals 29 (1980) 245–249 [CrossRef] [Google Scholar]
  43. Y. Shao, Predictive modeling of residual stress in MQL grinding and surface characteristcs in grinding of ceramics, Georgia Institute of Technology, Atlanta, USA, 2015 [Google Scholar]
  44. R.L. Hecker, Part surface roughness modeling and process optimal control of cylindrical grinding, Georgia Institute of Technology, Atlanta, USA, 2003 [Google Scholar]
  45. M.A. Younis, H. Alawi, Probabilistic analysis of the surface grinding process, Trans. Canadian Soc. Mech. Eng. 8 (1984) 208–213 [CrossRef] [Google Scholar]
  46. D. Zishan, Research on surface integrity and process optimal criterion of micro-grinding, Donghua University, Shanghai, China, 2016 [Google Scholar]

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