Crystallographic orientation effect on cutting-based single atomic layer removal

Wenkun XIE, Fengzhou FANG

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PDF(3313 KB)
Front. Mech. Eng. ›› 2020, Vol. 15 ›› Issue (4) : 631-644. DOI: 10.1007/s11465-020-0599-x
RESEARCH ARTICLE
RESEARCH ARTICLE

Crystallographic orientation effect on cutting-based single atomic layer removal

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Abstract

The ever-increasing requirements for the scalable manufacturing of atomic-scale devices emphasize the significance of developing atomic-scale manufacturing technology. The mechanism of a single atomic layer removal in cutting is the key basic theoretical foundation for atomic-scale mechanical cutting. Material anisotropy is among the key decisive factors that could not be neglected in cutting at such a scale. In the present study, the crystallographic orientation effect on the cutting-based single atomic layer removal of monocrystalline copper is investigated by molecular dynamics simulation. When undeformed chip thickness is in the atomic scale, two kinds of single atomic layer removal mechanisms exist in cutting-based single atomic layer removal, namely, dislocation motion and extrusion, due to the differing atomic structures on different crystallographic planes. On close-packed crystallographic plane, the material removal is dominated by the shear stress-driven dislocation motion, whereas on non-close packed crystallographic planes, extrusion-dominated material removal dominates. To obtain an atomic, defect-free processed surface, the cutting needs to be conducted on the close-packed crystallographic planes of monocrystalline copper.

Keywords

ACSM / single atomic layer removal mecha-nism / crystallographic orientation effect / mechanical cutting / Manufacturing III

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Wenkun XIE, Fengzhou FANG. Crystallographic orientation effect on cutting-based single atomic layer removal. Front. Mech. Eng., 2020, 15(4): 631‒644 https://doi.org/10.1007/s11465-020-0599-x

References

[1]
Fang F Z. Atomic and close-to-atomic scale manufacturing: Perspectives and Measures. International Journal of Extreme Manufacturing, 2020, 2: 030201
CrossRef Google scholar
[2]
Fang F Z, Zhang N, Guo D, Towards atomic and close-to-atomic scale manufacturing. International Journal of Extreme Manufacturing, 2019, 1(1): 012001
CrossRef Google scholar
[3]
Yan J, Asami T, Harada H, Crystallographic effect on subsurface damage formation in silicon microcutting. CIRP Annals, 2012, 61(1): 131–134
CrossRef Google scholar
[4]
Chae J, Park S S, Freiheit T. Investigation of micro-cutting operations. International Journal of Machine Tools and Manufacture, 2006, 46(3–4): 313–332
CrossRef Google scholar
[5]
Egashira K, Furukawa T, Yamaguchi K, Microcutting using a micro turn-milling machine. Precision Engineering, 2016, 44: 81–86
CrossRef Google scholar
[6]
O’Connor B P, Marsh E R, Couey J A. On the effect of crystallographic orientation on ductile material removal in silicon. Precision Engineering, 2005, 29(1): 124–132
CrossRef Google scholar
[7]
Xue B, Geng Y Q, Wang D, Improvement in surface quality of microchannel structures fabricated by revolving tipbased machining. Nanomanufacturing and Metrology, 2019, 2(1): 26–35
CrossRef Google scholar
[8]
Fang F Z, Wu H, Zhou W, A study on mechanism of nano-cutting single crystal silicon. Journal of Materials Processing Technology, 2007, 184(1–3): 407–410
CrossRef Google scholar
[9]
Fang F Z, Xu F, Lai M. Size effect in material removal by cutting at nano scale. International Journal of Advanced Manufacturing Technology, 2015, 80(1–4): 591–598
CrossRef Google scholar
[10]
Fang F Z, Wu H, Liu Y. Modelling and experimental investigation on nanometric cutting of monocrystalline silicon. International Journal of Machine Tools and Manufacture, 2005, 45(15): 1681–1686
CrossRef Google scholar
[11]
Masuzawa T. State of the art of micromachining. CIRP Annals, 2000, 49(2): 473–488
CrossRef Google scholar
[12]
Fang F Z, Zhang X, Gao W, Nanomanufacturing—Perspective and applications. CIRP Annals, 2017, 66(2): 683–705
CrossRef Google scholar
[13]
Joshi S S. Ultraprecision machining (UPM). In: Bhushan B, ed. Encyclopedia of Nanotechnology. Dordrecht: Springer, 2016
CrossRef Google scholar
[14]
Xie W K, Fang F Z. Cutting-based single atomic layer removal mechanism: Atomic sizing effect. Nanomanufacturing and Metrology, 2019, (2): 241–252
[15]
Xie W K, Fang F Z. Mechanism of atomic and close-to-atomic scale cutting of monocrystalline copper. Applied Surface Science, 2020, 503: 144239
CrossRef Google scholar
[16]
Xie W K, Fang F Z. Effect of tool edge radius on material removal mechanism in atomic and close-to-atomic scale cutting. Applied Surface Science, 2020, 504: 144451
CrossRef Google scholar
[17]
Xie W K, Fang F Z. Cutting-based single atomic layer removal mechanism of monocrystalline copper: Edge radius effect. Nanoscale Research Letters, 2019, 14(1): 370
CrossRef Google scholar
[18]
Mathew P T, Rodriguez B J, Fang F Z. Atomic and close-to-atomic scale manufacturing: A review on atomic layer removal methods using atomic force microscopy. Nanomanufacturing and Metrology, 2020, 3: 167–186
CrossRef Google scholar
[19]
Goel S, Kovalchenko A, Stukowski A, Influence of microstructure on the cutting behaviour of silicon. Acta Materialia, 2016, 105: 464–478
CrossRef Google scholar
[20]
Chavoshi S Z, Goel S, Luo X. Molecular dynamics simulation investigation on the plastic flow behaviour of silicon during nanometric cutting. Modelling and Simulation in Materials Science and Engineering, 2015, 24(1): 015002
CrossRef Google scholar
[21]
Shimada S, Ikawa N, Tanaka H, Feasibility study on ultimate accuracy in microcutting using molecular dynamics simulation. CIRP Annals, 1993, 42(1): 91–94
CrossRef Google scholar
[22]
Goel S, Stukowski A, Luo X, Anisotropy of single-crystal 3C–SiC during nanometric cutting. Modelling and Simulation in Materials Science and Engineering, 2013, 21(6): 065004
CrossRef Google scholar
[23]
Lai M, Zhang X, Fang F Z. Crystal orientation effect on the subsurface deformation of monocrystalline germanium in nanometric cutting. Nanoscale Research Letters, 2017, 12(1): 296
CrossRef Google scholar
[24]
Chen L, Wen J, Zhang P, Nanomanufacturing of silicon surface with a single atomic layer precision via mechanochemical reactions. Nature Communications, 2018, 9(1): 1542
CrossRef Google scholar
[25]
Zhu P, Fang F Z. Study of the minimum depth of material removal in nanoscale mechanical machining of single crystalline copper. Computational Materials Science, 2016, 118: 192–202
CrossRef Google scholar
[26]
Yuan Z J, Lee W B, Yao Y X, Effect of crystallographic orientation on cutting forces and surface quality in diamond cutting of single crystal. CIRP Annals, 1994, 43(1): 39–42
CrossRef Google scholar
[27]
Lawson B L, Kota N, Ozdoganlar O B. Effects of crystallographic anistropy on orthogonal micromachining of single crystal aluminum. Journal of Manufacturing Science and Engineering, 2008, 130(3): 031116
CrossRef Google scholar
[28]
Lee W B, To S, Sze Y K, Effect of material anisotropy on shear angle prediction in metal cutting—A mesoplasticity approach. International Journal of Mechanical Sciences, 2003, 45(10): 1739–1749
CrossRef Google scholar
[29]
Fang F Z, Xu F. Recent advances in micro/nano-cutting: Effect of tool edge and material properties. Nanomanufacturing and Metrology, 2018, 1(1): 4–31
CrossRef Google scholar
[30]
Komanduri R, Chandrasekaran N, Raff L M. MD simulation of nanometric cutting of single crystal aluminum—Effect of crystal orientation and direction of cutting. Wear, 2000, 242(1–2): 60–88
CrossRef Google scholar
[31]
Komanduri R, Chandrasekaran N, Raff L M. Orientation effects in nanometric cutting of single crystal materials: An MD simulation approach. CIRP Annals-Manufacturing Technology, 1999, 48(1): 67–72
CrossRef Google scholar
[32]
Wu X, Li L, He N, Investigation on the influence of material microstructure on cutting force and bur formation in the micro cutting of copper. International Journal of Advanced Manufacturing Technology, 2015, 79(1–4): 321–327
CrossRef Google scholar
[33]
Xu F, Fang F Z, Zhu Y, Study on crystallographic orientation effect on surface generation of aluminum in nano-cutting. Nanoscale Research Letters, 2017, 12(1): 289
CrossRef Google scholar
[34]
Plimpton S. Fast parallel algorithms for short-range molecular dynamics. Journal of Computational Physics, 1995, 117(1): 1–19
CrossRef Google scholar
[35]
Foiles S M, Baskes M I, Daw M S. Embedded-atom-method functions for the fcc metals Cu, Ag, Au, Ni, Pd, Pt, and their alloys. Physical Review B, 1986, 33(12): 7983–7991
CrossRef Google scholar
[36]
Zhang L, Tanaka H. Towards a deeper understanding of wear and friction on the atomic scale—A molecular dynamics analysis. Wear, 1997, 211(1): 44–53
CrossRef Google scholar

Acknowledgements

The authors would like to thank the finical support from the Science Foundation Ireland (Grant No. 15/RP/B3208) and the ‘111’ Project by the State Administration of Foreign Experts Affairs and the Ministry of Education of China (Grant No. B07014).

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2020 Higher Education Press
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