nach oben

Erschienen in:

2021 | OriginalPaper | Buchkapitel

Atomistic Modelling of Nanocutting Processes

verfasst von : Francisco Rodriguez-Hernandez, Michail Papanikolaou, Konstantinos Salonitis

Erschienen in: Experiments and Simulations in Advanced Manufacturing

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This chapter presents some of the state-of-the art investigations on Molecular Dynamics simulations of Nanocutting processes. The basic theory of Molecular Dynamics simulations has been presented to facilitate the understanding of the fundamental principles of this numerical modelling method and the techniques employed to extract meaningful macroscopic properties out of atomistic simulations. The advances of Molecular Dynamics simulations with respect to modelling nanocutting processes are at core of this chapter. More specifically, fundamental and pioneering MD studies of nanocutting processes are thoroughly discussed with special emphasis laid on phenomena taking place during material removal, such as thermal softening, dislocation generation and stress evolution. The nature of the Molecular Dynamics simulation method allows for capturing and monitoring the aforementioned phenomena; this cannot be easily achieved via experimental and other modelling techniques such as Finite Element Analysis and Discrete Element Modelling. It is expected that, over the years to come, Molecular Dynamics simulations will be increasingly employed for investigating material removal processes due to the rapid development of computational power.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel The Effects of 3D Printing Structural Modelling on Compression Properties for Material Jetting and FDM Process

Nächstes Kapitel Advanced Manufacturing of the Holes by Controlled Texture

Brinksmeier E, Aurich J, Govekar E et al (2006) Advances in modeling and simulation of grinding processes. CIRP Ann Technol 55:667–696CrossRef

Li H, Yu T, Zhu L, Wang W (2015) Analysis of loads on grinding wheel binder in grinding process: insights from discontinuum-hypothesis-based grinding simulation. Int J Adv Manuf Technol 78:1943–1960. https://doi.org/10.1007/s00170-014-6767-6CrossRef

Osa JL, Sánchez JA, Ortega N et al (2016) Discrete-element modelling of the grinding contact length combining the wheel-body structure and the surface-topography models. Int J Mach Tools Manuf 110:43–54. https://doi.org/10.1016/J.IJMACHTOOLS.2016.07.004CrossRef

Alder B, Wainwright T (1959) Studies in molecular dynamics. I. General method. J Chem Phys 31:459

Payne MC, Teter MP, Allan DC et al (1992) Iterative minimization techniques for ab initio total-energy calculations: molecular dynamics and conjugate gradients. Rev Mod Phys 64:1045–1097. https://doi.org/10.1103/RevModPhys.64.1045

Brooks BR, Bruccoleri RE, Olafson BD, States DJ, Swaminathan SA, Karplus M (1983) CHARMM: a program for macromolecular energy, minimization, and dynamics calculations. J Comput Chem 4(2):187–217

Mayo SL, Olafson BD, Goddard WA (1990) DREIDING: a generic force field for molecular simulations. J Phys Chem 94(26):8897–8909

Wang J, Wolf R, Caldwell JW, Kollman PA, Case DA (2004) Development and testing of a general amber force field. J Comput Chem 25(9):1157–1174

Rappé AK, Casewit CJ, Colwell KS, Goddard III WA, Skiff WM (1992) UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations. J Am Chem Soc 114(25):10024–10035

10.

Ashurst WT, Hoover WG (1973) Argon shear viscosity via a lennard-jones potential with equilibrium and nonequilibrium molecular dynamics. Phys Rev Lett 31:206–208. https://doi.org/10.1103/PhysRevLett.31.206CrossRef

11.

Mark P, Nilsson L (2001) Structure and dynamics of the TIP3P, SPC, and SPC/E water models at 298 K. J Phys Chem a 105:9954–9960. https://doi.org/10.1021/jp003020wCrossRef

12.

Daw MS, Baskes MI (1984) Embedded-atom method: derivation and application to impurities, surfaces, and other defects in metals. Phys Rev B 29:6443–6453. https://doi.org/10.1103/PhysRevB.29.6443CrossRef

13.

Angelo J, Baskes M (1997) Interfacial studies using the EAM and MEAM. Interface Sci 4. https://doi.org/10.1007/BF00200838

14.

Brenner DW (1990) Empirical potential for hydrocarbons for use in simulating the chemical vapor deposition of diamond films. Phys Rev B 42:9458–9471. https://doi.org/10.1103/PhysRevB.42.9458CrossRef

15.

Root D, Landis C, Cleveland T (1993) Valence bond concepts applied to the molecular mechanics description of molecular shapes. 1. Application to nonhypervalent molecules of the P-block. J Am Chem Soc 115(10):4201–4209

16.

Van Duin ACT, Dasgupta S, Lorant F, et al (2001) ReaxFF: a reactive force field for hydrocarbons. J Phys Chem 105:9396–9409

17.

Papanikolaou M, Salonitis K (2019) Fractal roughness effects on nanoscale grinding. Appl Surf Sci 467–468:309–319. https://doi.org/10.1016/J.APSUSC.2018.10.144CrossRef

18.

Wang Q, Bai Q, Chen J et al (2015) Subsurface defects structural evolution in nano-cutting of single crystal copper. Appl Surf Sci 344:38–46. https://doi.org/10.1016/j.apsusc.2015.03.061CrossRef

19.

Narulkar R, Bukkapatnam S, Raff LM, Komanduri R (2009) Graphitization as a precursor to wear of diamond in machining pure iron: a molecular dynamics investigation. Comput Mater Sci 45:358–366. https://doi.org/10.1016/j.commatsci.2008.10.007CrossRef

20.

Eder S, Cihak-Bayr U, Pauschitz A (2015) Nanotribological simulations of multi-grit polishing and grinding. Wear 340–341:25–30. https://doi.org/10.1016/J.WEAR.2015.03.006CrossRef

21.

Guo X, Li Q, Liu T et al (2016) Molecular dynamics study on the thickness of damage layer in multiple grinding of monocrystalline silicon. Mater Sci Semicond Process 51:15–19. https://doi.org/10.1016/J.MSSP.2016.04.013CrossRef

22.

Li J, Fang Q, Zhang L, Liu Y (2015) Subsurface damage mechanism of high speed grinding process in single crystal silicon revealed by atomistic simulations. Appl Surf Sci 324:464–474CrossRef

23.

Xu F, Fang F, Zhu Y, Zhang X (2017) Study on crystallographic orientation effect on surface generation of aluminum in nano-cutting. Nanoscale Res Lett 12:289. https://doi.org/10.1186/s11671-017-1990-3CrossRef

24.

Papanikolaou M, Salonitis K (2020) Grain size effects on nanocutting behaviour modelling based on molecular dynamics simulations. Appl Surf Sci 148291. https://doi.org/10.1016/j.apsusc.2020.148291

25.

Zhou L, Huang H (2004) Are surfaces elastically softer or stiffer? Appl Phys Lett

26.

Markopoulos AP, Kalteremidou KAL (2014) Molecular dynamics modelling of nanometric cutting. In: Key engineering materials, pp 298–303. Trans Tech Publications Ltd

27.

Lennard-Jones JE (1931) Cohesion. Proc Phys Soc 43:461CrossRef

28.

Oluwajobi A, Chen X (2011) The effect of interatomic potentials on the molecular dynamics simulation of nanometric machining. Int J Autom Comput 8:326–332. https://doi.org/10.1007/s11633-011-0588-yCrossRef

29.

Finnis MW, Sinclair JE (1984) A simple empirical N-body potential for transition metals. Philos Mag A 50:45–55CrossRef

30.

Baskes MI (1992) Modified embedded-atom potentials for cubic materials and impurities. Phys Rev B 46:2727–2742. https://doi.org/10.1103/PhysRevB.46.2727CrossRef

31.

Vella JR, Stillinger FH, Panagiotopoulos AZ, Debenedetti PG (2015) A comparison of the predictive capabilities of the embedded-atom method and modified embedded-atom method potentials for lithium. J Phys Chem B 119:8960–8968. https://doi.org/10.1021/jp5077752CrossRef

32.

Fang FZ, Wu H, Zhou W, Hu XT (2007) A study on mechanism of nano-cutting single crystal silicon. J Mater Process Technol 184:407–410. https://doi.org/10.1016/j.jmatprotec.2006.12.007CrossRef

33.

Zhang P, Zhao H, Zhang L et al (2014) A study on material removal caused by phase transformation of monocrystalline silicon during nanocutting process via molecular dynamics simulation. J Comput Theor Nanosci 11:291–296. https://doi.org/10.1166/jctn.2014.3350CrossRef

34.

Tersoff J (1989) Modeling solid-state chemistry: interatomic potentials for multicomponent systems. Phys Rev B 39:5566–5568. https://doi.org/10.1103/PhysRevB.39.5566CrossRef

35.

Alhafez IA, Urbassek HM (2020) Influence of the rake angle on nanocutting of Fe single crystals: a molecular-dynamics study. Crystals 10:516. https://doi.org/10.3390/cryst10060516CrossRef

36.

Zhao H, Shi C, Zhang P et al (2012) Research on the effects of machining-induced subsurface damages on mono-crystalline silicon via molecular dynamics simulation. Appl Surf Sci 259:66–71. https://doi.org/10.1016/j.apsusc.2012.06.087CrossRef

37.

Girifalco LA, Weizer VG (1959) Application of the morse potential function to cubic metals. Phys Rev 114:687–690. https://doi.org/10.1103/PhysRev.114.687CrossRef

38.

Inamura T, Takezawa N, Taniguchi N (1992) Atomic-scale cutting in a computer using crystal models of copper and diamond. CIRP Ann 41:121–124. https://doi.org/10.1016/S0007-8506(07)61166-4CrossRef

39.

Banerjee S, Naha S, Puri IK (2008) Molecular simulation of the carbon nanotube growth mode during catalytic synthesis. Appl Phys Lett 92:233121. https://doi.org/10.1063/1.2945798CrossRef

40.

Verlet L (1968) Computer “experiments” on classical fluids. II. equilibrium correlation functions. Phys Rev 165:201–214. https://doi.org/10.1103/PhysRev.165.201CrossRef

41.

Allen MP, Tildesley DJ (1989) Computer simulation of liquids. Clarendon Press

42.

Karkalos E, Markopoulos NP (2017) A Modeling nano-metric manufacturing processes with molecular dynamics method: a review. Current Nanosci

43.

Liu Q, Roy A, Tamura S et al (2016) Micro-cutting of single-crystal metal: finite-element analysis of deformation and material removal. Int J Mech Sci 118:135–143. https://doi.org/10.1016/j.ijmecsci.2016.09.021CrossRef

44.

Tajalli SA, Movahhedy MR, Akbari J (2014) Simulation of orthogonal micro-cutting of FCC materials based on rate-dependent crystal plasticity finite element model. Comput Mater Sci 86:79–87. https://doi.org/10.1016/j.commatsci.2014.01.016CrossRef

45.

Lee WB, Wang H, Chan CY, To S (2013) Finite element modelling of shear angle and cutting force variation induced by material anisotropy in ultra-precision diamond turning. Int J Mach Tools Manuf 75:82–86. https://doi.org/10.1016/j.ijmachtools.2013.09.007CrossRef

46.

Dong Y, Si F, Jin W et al (2020) A new mechanistic model for abrasive erosion using discrete element method. Powder Technol. https://doi.org/10.1016/j.powtec.2020.11.017CrossRef

47.

Zhao Y, Ma H, Xu L, Zheng J (2017) An erosion model for the discrete element method. Particuology 34:81–88. https://doi.org/10.1016/j.partic.2016.12.005CrossRef

48.

Peng R, Tong J, Tang X et al (2020) Crack propagation and wear estimation of ceramic tool in cutting inconel 718 based on discrete element method. Tribol Int 142:105998. https://doi.org/10.1016/j.triboint.2019.105998CrossRef

49.

Stowers FI (1991) Molecular dynamics simulation of the chip formation process in single crystal copper and comparison with experimental data. ASPE Annu Meet Oct 100

50.

Fang FZ, Wu H, Liu YC (2005). Modelling and experimental investigation on nanometric cutting of monocrystalline silicon. https://doi.org/10.1016/j.ijmachtools.2005.03.010

51.

Inamura T, Shimada S, Takezawa N, Nakahara N (1997) Brittle/ductile transition phenomena observed in computer simulations of machining defect-free monocrystalline silicon. CIRP Ann Manuf Technol 46:31–34. https://doi.org/10.1016/s0007-8506(07)60769-0CrossRef

52.

Han XS, Lin B, Yu SY, Wang SX (2002) Investigation of tool geometry in nanometric cutting by molecular dynamics simulation. J Mater Process Technol 129:105–108CrossRef

53.

Komanduri R, Chandrasekaran N, Raff LM (2001) MD simulation of exit failure in nanometric cutting. Mater Sci Eng A 311:1–12. https://doi.org/10.1016/S0921-5093(01)00960-1CrossRef

54.

Pekelharing AJ (1984) The exit failure of cemented carbide face milling cutters part I—fundamentals and phenomenae. CIRP Ann 33:47–50CrossRef

55.

Liu K, Li XP, Liang SY (2007) The mechanism of ductile chip formation in cutting of brittle materials. Int J Adv Manuf Technol 33:875–884CrossRef

56.

Cai MB, Li XP, Rahman M (2007) Study of the mechanism of nanoscale ductile mode cutting of silicon using molecular dynamics simulation. Int J Mach Tools Manuf 47:75–80. https://doi.org/10.1016/j.ijmachtools.2006.02.016CrossRef

57.

Komanduri R, Chandrasekaran N, Raff LM (1999) Some aspects of machining with negative-rake tools simulating grinding: a molecular dynamics simulation approach. Philos Mag B Phys Condens Matter Stat Mech Electr Opt Magn Prop 79:955–968. https://doi.org/10.1080/13642819908214852

58.

Crawford JH, Merchant ME (1953) The influence of higher rake angles on performance in milling. Trans ASME 75:561–566

59.

Komanduri R, Chandrasekaran N, Raff LM (1998) Effect of tool geometry in nanometric cutting: a molecular dynamics simulation approach. Wear 219:84–97. https://doi.org/10.1016/S0043-1648(98)00229-4CrossRef

60.

Li J, Fang Q, Liu Y, Zhang L (2014) A molecular dynamics investigation into the mechanisms of subsurface damage and material removal of monocrystalline copper subjected to nanoscale high speed grinding. Appl Surf Sci 303:331–343. https://doi.org/10.1016/j.apsusc.2014.02.178CrossRef

61.

Xie W, Fang F (2020) Mechanism of atomic and close-to-atomic scale cutting of monocrystalline copper. Appl Surf Sci 503:144239. https://doi.org/10.1016/j.apsusc.2019.144239CrossRef

62.

Xie W, Fang F (2020) Rake angle effect in cutting-based single atomic layer removal. J Manuf Process 56:280–294. https://doi.org/10.1016/j.jmapro.2020.04.068CrossRef

63.

Komanduri R, Lee M, Raff LM (2004) The significance of normal rake in oblique machining. Int J Mach Tools Manuf 44:1115–1124. https://doi.org/10.1016/j.ijmachtools.2004.02.015CrossRef

64.

Biddut AQ, Rahman M, Neo KS et al (2007) Performance of single crystal diamond tools with different rake angles during micro-grooving on electroless nickel plated die materials. Int J Adv Manuf Technol 33:891–899. https://doi.org/10.1007/s00170-006-0535-1CrossRef

65.

Karkalos NE, Markopoulos AP, Kundrák J (2017) Molecular dynamics model of nano-metric peripheral grinding. In: Procedia CIRP

66.

Fang TH, Weng CI (2000) Three-dimensional molecular dynamics analysis of processing using a pin tool on the atomic scale. Nanotechnology 11:148–153. https://doi.org/10.1088/0957-4484/11/3/302CrossRef

67.

Avila KE, Vardanyan VH, Alabd Alhafez I et al (2020) Applicability of cutting theory to nanocutting of metallic glasses: atomistic simulation. J Non Cryst Solids 550:120363. https://doi.org/10.1016/j.jnoncrysol.2020.120363CrossRef

68.

Pei QX, Lu C, Lee HP (2007) Large scale molecular dynamics study of nanometric machining of copper. Comput Mater Sci 41:177–185. https://doi.org/10.1016/J.COMMATSCI.2007.04.008CrossRef

69.

Goel S, Luo X, Agrawal A, Reuben RL (2015) Diamond machining of silicon: a review of advances in molecular dynamics simulation. Int J Mach Tools Manuf 88:131–164. https://doi.org/10.1016/J.IJMACHTOOLS.2014.09.013CrossRef

70.

Wang J, Zhang X, Fang F (2016) Molecular dynamics study on nanometric cutting of ion implanted silicon. Comput Mater Sci 117:240–250. https://doi.org/10.1016/j.commatsci.2016.01.040CrossRef

71.

Ren J, Hao M, Lv M et al (2018) Molecular dynamics research on ultra-high-speed grinding mechanism of monocrystalline nickel. Appl Surf Sci 455:629–634. https://doi.org/10.1016/j.apsusc.2018.06.042CrossRef

72.

He Y, Lai M, Fang F (2019) A numerical study on nanometric cutting mechanism of lutetium oxide single crystal. Appl Surf Sci 496:143715. https://doi.org/10.1016/j.apsusc.2019.143715CrossRef

73.

Ikawa N, Donaldson RR, Komanduri R et al (1991) Ultraprecision metal cutting—the past, the present and the future. CIRP Ann Manuf Technol. https://doi.org/10.1016/S0007-8506(07)61134-2CrossRef

74.

Shimada S, Ikawa N (1992) Molecular dynamics analysis as compared with experimental results of micromachining. CIRP Ann Manuf Technol 41:117–120. https://doi.org/10.1016/S0007-8506(07)61165-2CrossRef

75.

Shimada S, Ikawa N, Tanaka H et al (1993) Feasibility study on ultimate accuracy in microcutting using molecular dynamics simulation. CIRP Ann Manuf Technol 42:91–94. https://doi.org/10.1016/S0007-8506(07)62399-3CrossRef

76.

Shimada S, Ikawa N, Tanaka H, Uchikoshi J (1994) Structure of micromachined surface simulated by molecular dynamics analysis. CIRP Ann Manuf Technol 43:51–54. https://doi.org/10.1016/S0007-8506(07)62162-3CrossRef

77.

Lin B, Yu SY, Wang SX (2003) An experimental study on molecular dynamics simulation in nanometer grinding. J Mater Process Technol 138:484–488. https://doi.org/10.1016/S0924-0136(03)00124-9CrossRef

78.

Zhu ZX, Gong YD, Zhou YG, Gao Q (2016) Molecular dynamics simulation of single crystal Nickel nanometric machining. Sci China Technol Sci 59:867–875. https://doi.org/10.1007/s11431-016-6061-yCrossRef

79.

Papanikolaou M, Salonitis K (2019) Contact stiffness effects on nanoscale high-speed grinding: a molecular dynamics approach. Appl Surf Sci 493:212–224CrossRef

80.

Dai H, Chen G, Li S et al (2017) Influence of laser nanostructured diamond tools on the cutting behavior of silicon by molecular dynamics simulation. RSC Adv 7:15596–15612. https://doi.org/10.1039/C6RA27070KCrossRef

81.

Shi J, Wang Y, Yang X (2013) Nano-scale machining of polycrystalline coppers—effects of grain size and machining parameters. Nanoscale Res Lett 8:1–18. https://doi.org/10.1186/1556-276X-8-500CrossRef

82.

Liu Y, Li B, Kong L (2018) A molecular dynamics investigation into nanoscale scratching mechanism of polycrystalline silicon carbide. Comput Mater Sci 148:76–86. https://doi.org/10.1016/j.commatsci.2018.02.038CrossRef

83.

Sharma A, Datta D, Balasubramaniam R (2018) Molecular dynamics simulation to investigate the orientation effects on nanoscale cutting of single crystal copper. Comput Mater Sci 153:241–250. https://doi.org/10.1016/j.commatsci.2018.07.002CrossRef

84.

Pan R, Zhong B, Chen D et al (2018) Modification of tool influence function of bonnet polishing based on interfacial friction coefficient. Int J Mach Tools Manuf 124:43–52. https://doi.org/10.1016/j.ijmachtools.2017.09.003CrossRef

85.

Zhang Y, Li C, Ji H et al (2017) Analysis of grinding mechanics and improved predictive force model based on material-removal and plastic-stacking mechanisms. Int J Mach Tools Manuf 122:81–97. https://doi.org/10.1016/j.ijmachtools.2017.06.002CrossRef

86.

Papanikolaou M, Hernandez FR, Salonitis K (2020) Investigation of the subsurface temperature effects on nanocutting processes via molecular dynamics simulations. Metals (Basel) 10:1220. https://doi.org/10.3390/met10091220CrossRef

87.

Zhu PZ, Hu YZ, Ma TB, Wang H (2010) Study of AFM-based nanometric cutting process using molecular dynamics. Appl Surf Sci 256:7160–7165. https://doi.org/10.1016/j.apsusc.2010.05.044CrossRef

88.

Harrison JA, White CT, Colton RJ, Brenner DW (1992) Molecular-dynamics simulations of atomic-scale friction of diamond surfaces. Phys Rev B 46:9700–9708. https://doi.org/10.1103/PhysRevB.46.9700CrossRef

89.

Harrison JA, Colton RJ, White CT, Brenner DW (1993) Effect of atomic-scale surface roughness on friction: a molecular dynamics study of diamond surfaces. Wear 168:127–133. https://doi.org/10.1016/0043-1648(93)90208-4CrossRef

90.

Harrison JA, White CT, Colton RJ, Brenner DW (1993) Atomistic simulations of friction at sliding diamond interfaces. MRS Bull 18:50–53. https://doi.org/10.1557/S0883769400047138CrossRef

91.

Harrison JA, White CT, Colton RJ, Brenner DW (1993) Effects of chemically-bound, flexible hydrocarbon species on the frictional properties of diamond surfaces. J Phys Chem 97:6573–6576. https://doi.org/10.1021/j100127a001CrossRef

92.

Harrison JA, White CT, Colton RJ, Brenner DW (1995) Investigation of the atomic-scale friction and energy dissipation in diamond using molecular dynamics. Thin Solid Films 260:205–211. https://doi.org/10.1016/0040-6090(94)06511-XCrossRef

93.

Johnson R, Swikert M, Bisson E (1947) Friction at high sliding velocities. Cleveland, Ohio

94.

Anderson D, Warkentin A, Bauer R (2011) Experimental and numerical investigations of single abrasive-grain cutting. Int J Mach Tools Manuf 51:898–910CrossRef

95.

Komanduri R, Chandrasekaran N, Raff L (2000) Molecular dynamics simulation of atomic-scale friction. Phys Rev B Condens Matter Mater Phys 61:14007–14019. https://doi.org/10.1103/PhysRevB.61.14007CrossRef

96.

Lautenschlaeger MP, Stephan S, Urbassek HM et al (2017) Effects of lubrication on the friction in nanometric machining processes: a molecular dynamics approach. Appl Mech Mater 869:85–93. https://doi.org/10.4028/www.scientific.net/amm.869.85

97.

Chen Y, Han H, Fang F, Hu X (2014) MD simulation of nanometric cutting of copper with and without water lubrication. Sci China Technol Sci 57:1154–1159. https://doi.org/10.1007/s11431-014-5519-zCrossRef

98.

Rentsch R, Inasaki I (2006) Effects of fluids on the surface generation in material removal processes—molecular dynamics simulation. CIRP Ann Manuf Technol 55:601–604. https://doi.org/10.1016/S0007-8506(07)60492-2CrossRef

99.

Rowe WB (2013) Principles of modern grinding technology. Elsevier Inc.

100.

Shimizu J (2007) Molecular dynamics simulation of nano grinding-influence of tool stiffness. Int J Manuf Sci Technol 9:69

101.

Shimizu J, Zhou L, Eda H (2008) Molecular dynamics simulation of effect of grinding wheel stiffness on nanogrinding process. Int J Abras Technol 1:316–326CrossRef

102.

Mate CM, McClelland GM, Erlandsson R, Chiang S (1987) Atomic-scale friction of a tungsten tip on a graphite surface. Springer, Dordrecht, pp 226–229

103.

Isono Y, Tanaka T (1997) Three-dimensional molecular dynamics simulation of atomic scale precision processing using a pin tool. JSME Int J Ser a 40:211–218. https://doi.org/10.1299/jsmea.40.211CrossRef

104.

Li Y, Shuai M, Zhang J et al (2018) Molecular dynamics investigation of residual stress and surface roughness of cerium under diamond cutting. Micromachines 9:386. https://doi.org/10.3390/mi9080386CrossRef

105.

Li J, Fang Q, Zhang L, Liu Y (2015) The effect of rough surface on nanoscale high speed grinding by a molecular dynamics simulation. Comput Mater Sci 98:252–262. https://doi.org/10.1016/J.COMMATSCI.2014.10.069CrossRef

106.

Ausloos M, Berman DH (1985) A multivariate Weierstrass-Mandelbrot function. Proc R Soc London A Math Phys Sci 400:331–350MathSciNetMATH

107.

Avnir D, Farin D, Pfeifer P (1984) Molecular fractal surfaces. Nature 308:261–263. https://doi.org/10.1038/308261a0CrossRef

108.

Jaeger CJ (1942) Moving sources of heat and the temperature of sliding contacts. J Proc Roy Soc New South Wales 76:202

109.

Outwater JO, Shaw CS (1952) Surface temperatures in grinding pdf. Trans ASME 74:73–86

110.

Munster A (1974) Statistical thermodynamics. Springer-Verlag

111.

Fang TH, Chang WJ, Weng CI (2006) Nanoindentation and nanomachining characteristics of gold and platinum thin films. Mater Sci Eng A 430:332–340. https://doi.org/10.1016/j.msea.2006.05.106CrossRef

112.

Cai MB, Li XP, Rahman M (2007) Study of the temperature and stress in nanoscale ductile mode cutting of silicon using molecular dynamics simulation. J Mater Process Technol 192–193:607–612. https://doi.org/10.1016/j.jmatprotec.2007.04.028CrossRef

113.

Guo YB, Liang YC (2012) Atomistic simulation of thermal effects and defect structures during nanomachining of copper. Trans Nonferrous Met Soc China English Ed 22:2762–2770. https://doi.org/10.1016/S1003-6326(11)61530-6

114.

Lin ZC, Lin MH, Hsu YC (2014) Simulation of temperature field during nanoscale orthogonal cutting of single-crystal silicon by molecular statics method. Comput Mater Sci 81:58–67. https://doi.org/10.1016/j.commatsci.2013.07.018CrossRef

115.

Zhao X, Bhushan B (1998) Material removal mechanisms of single-crystal silicon on nanoscale and at ultralow loads. Wear 223:66–78. https://doi.org/10.1016/S0043-1648(98)00302-0CrossRef

116.

Wang Q, Bai Q, Chen J et al (2015) Stress-induced formation mechanism of stacking fault tetrahedra in nano-cutting of single crystal copper. Appl Surf Sci 355:1153–1160. https://doi.org/10.1016/j.apsusc.2015.06.176CrossRef

117.

Hao ZP, Cui RR, Fan YH, Lin JQ (2019) Diffusion mechanism of tools and simulation in nanoscale cutting the Ni–Fe–Cr series of Nickel-based superalloy. Int J Mech Sci 150:625–636. https://doi.org/10.1016/j.ijmecsci.2018.10.058CrossRef

118.

Li J (2003) AtomEye: an efficient atomistic configuration viewer. Model Simul Mater Sci Eng 11:173. https://doi.org/10.1088/0965-0393/11/2/305CrossRef

Titel: Atomistic Modelling of Nanocutting Processes
verfasst von: Francisco Rodriguez-Hernandez
Michail Papanikolaou
Konstantinos Salonitis
Verlag: Springer International Publishing
Buch: Experiments and Simulations in Advanced Manufacturing
Print ISBN: 978-3-030-69471-5

Electronic ISBN: 978-3-030-69472-2

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-69472-2_8

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht