Crystallographic orientation effect on cutting-based single atomic layer removal

Wenkun XIE , Fengzhou FANG

Front. Mech. Eng. ›› 2020, Vol. 15 ›› Issue (4) : 631 -644.

PDF (3313KB)
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

Author information +
History +
PDF (3313KB)

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

Cite this article

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

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Fang F Z. Atomic and close-to-atomic scale manufacturing: Perspectives and Measures. International Journal of Extreme Manufacturing, 2020, 2: 030201

[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

[3]

Yan J, Asami T, Harada H, Crystallographic effect on subsurface damage formation in silicon microcutting. CIRP Annals, 2012, 61(1): 131–134

[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

[5]

Egashira K, Furukawa T, Yamaguchi K, Microcutting using a micro turn-milling machine. Precision Engineering, 2016, 44: 81–86

[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

[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

[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

[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

[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

[11]

Masuzawa T. State of the art of micromachining. CIRP Annals, 2000, 49(2): 473–488

[12]

Fang F Z, Zhang X, Gao W, Nanomanufacturing—Perspective and applications. CIRP Annals, 2017, 66(2): 683–705

[13]

Joshi S S. Ultraprecision machining (UPM). In: Bhushan B, ed. Encyclopedia of Nanotechnology. Dordrecht: Springer, 2016

[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

[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

[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

[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

[19]

Goel S, Kovalchenko A, Stukowski A, Influence of microstructure on the cutting behaviour of silicon. Acta Materialia, 2016, 105: 464–478

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[34]

Plimpton S. Fast parallel algorithms for short-range molecular dynamics. Journal of Computational Physics, 1995, 117(1): 1–19

[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

[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

RIGHTS & PERMISSIONS

Higher Education Press

AI Summary AI Mindmap
PDF (3313KB)

9813

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/