Processing, Please wait...

  • Publisher Home
  • Home
  • 🔙 Back
  • 📚 Journals
    • ⚙️ IJIEC - Industrial Engineering Computations
    • 🌐 IJDNS - Data and Network Science
    • 🧪 CCL - Current Chemistry Letters
    • 💹 AC - Accounting
    • 🎯 DSL - Decision Science Letters
    • 🚛 USCM - Uncertain Supply Chain Management
    • 🏗️ JPM - Journal of Project Management
    • 🏥 HE - Healthcare Engineering
    • 📈 SCI - Scientometrica
    • 🔩 ESM - Engineering Solid Mechanics
    • 🌿 JFS - Journal of Future Sustainability
    • 💼 MSL - Management Science Letters
  • 📝 Submit Article
  • 📊 Statistics
  • 📋 About
    • 📄 About Us
    • 📰 Blog
    • 📢 News
    • 📧 Contact
  • 📺 Tutorial
  • Search:
  • Advanced Search

Growing Science » Engineering Solid Mechanics » The influence of cutting conditions and cutting tool geometry on the atomistic modeling of precision cutting

⭐ Highly Cited Articles

  • Jaya Algorithm
  • Rao Algorithm
  • TLBO Algorithm
  • ChatGPT and Blended Learning

Journals

  • IJIEC (804)
  • IJDS (992)
  • DSL (722)
  • ESM (434)
  • CCL (544)
  • JPM (323)
  • AC (562)
  • JFS (101)
  • MSL (2648)
  • USCM (1104)
  • HE (48)
  • SCI (50)

ESM Volumes

    • ▼ Volume 14 (30)
      • Issue 1 (9)
      • Issue 2 (8)
      • Issue 3 (7)
      • Issue 4 (6)
    • ▼ Volume 13 (32)
      • Issue 1 (12)
      • Issue 2 (7)
      • Issue 3 (7)
      • Issue 4 (6)
    • ▼ Volume 12 (41)
      • Issue 1 (10)
      • Issue 2 (9)
      • Issue 3 (12)
      • Issue 4 (10)
    • ▼ Volume 11 (39)
      • Issue 1 (10)
      • Issue 2 (10)
      • Issue 3 (9)
      • Issue 4 (10)
    • ▼ Volume 10 (35)
      • Issue 1 (9)
      • Issue 2 (8)
      • Issue 3 (10)
      • Issue 4 (8)
    • ▼ Volume 9 (36)
      • Issue 1 (9)
      • Issue 2 (9)
      • Issue 3 (9)
      • Issue 4 (9)
    • ▼ Volume 8 (36)
      • Issue 1 (8)
      • Issue 2 (10)
      • Issue 3 (9)
      • Issue 4 (9)
    • ▼ Volume 7 (28)
      • Issue 1 (7)
      • Issue 2 (6)
      • Issue 3 (7)
      • Issue 4 (8)
    • ▼ Volume 6 (32)
      • Issue 1 (8)
      • Issue 2 (8)
      • Issue 3 (8)
      • Issue 4 (8)
    • ▼ Volume 5 (25)
      • Issue 1 (7)
      • Issue 2 (6)
      • Issue 3 (6)
      • Issue 4 (6)
    • ▼ Volume 4 (25)
      • Issue 1 (5)
      • Issue 2 (7)
      • Issue 3 (7)
      • Issue 4 (6)
    • ▼ Volume 3 (27)
      • Issue 1 (7)
      • Issue 2 (7)
      • Issue 3 (6)
      • Issue 4 (7)
    • ▼ Volume 2 (32)
      • Issue 1 (6)
      • Issue 2 (8)
      • Issue 3 (10)
      • Issue 4 (8)
    • ▼ Volume 1 (16)
      • Issue 1 (4)
      • Issue 2 (4)
      • Issue 3 (4)
      • Issue 4 (4)

🔑 Keywords

Supply chain management(168)
Jordan(167)
Vietnam(154)
Customer satisfaction(124)
Performance(116)
Supply chain(113)
Artificial intelligence(99)
Service quality(98)
Competitive advantage(98)
Tehran Stock Exchange(94)
SMEs(92)
Sustainability(91)
optimization(88)
TOPSIS(85)
Financial performance(84)
Trust(84)
Job satisfaction(81)
Knowledge Management(80)
Genetic Algorithm(80)
Social media(79)


» Show all keywords

✍️ Authors

Naser Azad(83)
Zeplin Jiwa Husada Tarigan(67)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(38)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Sautma Ronni Basana(31)
Haitham M. Alzoubi(30)
Mohammad Khodaei Valahzaghard(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)


» Show all authors

🌍 Countries

1. Algeria (52)
2. Angola (1)
3. Argentina (22)
4. Armenia (2)
5. Australia (52)
6. Austria (2)
7. Bahrain (26)
8. Bangladesh (57)
9. Belarus (4)
10. Belgium (3)
11. Benin (2)
12. Benin Republic (1)
13. Bhutan (1)
14. Bosnia and Herzegovina (1)
15. Botswana (8)
16. Brazil (40)
17. Brunei (1)
18. Bulgaria (1)
19. Burkina Faso (1)
20. Cameroon (1)
Total: 121 countries

Show all countries
Engineering Solid Mechanics
ISSN 2291-8752 (Online) - ISSN 2291-8744 (Print)
Quarterly Publication
Volume 3 Issue 3 pp. 195-206, 2015

The influence of cutting conditions and cutting tool geometry on the atomistic modeling of precision cutting Pages 195-206 Right click to download the paper Download PDF

Authors: Angelos P. Markopoulos, Nikolaos E. Karkalos, Kalliopi-Artemi L. Kalteremidou, Andreas Balafoutis, Dimitrios E. Manolakos

📋 Author Affiliations:
A.P. Markopoulos ORCID , N.E. Karkalos, K.-A.L. Kalteremidou, A. Balafoutis, D.E. Manolakos ORCID
¹ Section of Manufacturing Technology, School of Mechanical Engineering, National Technical University of Athens, Heroon Politechniou 9, Athens, 15780, Greece
doi 10.5267/j.esm.2015.4.001
8 Source: Scopus
Crossref 6 Source: CrossRef

🔑 Keywords: Cutting forces, Molecular dynamics, Morse potential, Nano-machining, Simulation

Abstract: In this paper a molecular dynamics simulation of nano-metric cutting of copper with a diamond tool is presented. MD simulations require the determination of the interaction of the involved atoms through a function of potential for the materials involved in the analysis and the accurate topography of the studied area, leading to high demand of computational time. The models presented are taking into account the cubic lattice of copper, test two different potential functions and at the same time control the computational cost by introducing small models at realistic cutting conditions. This is realized by a novel code developed and allows focusing on the influence of several processes and modeling parameters on the outcome of the simulations. Models with and without thermostat atoms are investigated and the influence of cutting conditions and cutting tool geometry on chip morphology, cutting forces and cutting temperatures are studied.

How to cite this paper
APA: Markopoulos, A., Karkalos, N., Kalteremidou, K., Balafoutis, A & Manolakos, D. (2015). The influence of cutting conditions and cutting tool geometry on the atomistic modeling of precision cutting. Engineering Solid Mechanics, 3(3), 195-206.
Chicago/Turabian: Markopoulos, A., Karkalos, N., Kalteremidou, K., Balafoutis, A & Manolakos, D. 2015. "The influence of cutting conditions and cutting tool geometry on the atomistic modeling of precision cutting." Engineering Solid Mechanics 3, no. 3 (2015): 195-206.
AMA: Markopoulos, A., Karkalos, N., Kalteremidou, K., Balafoutis, A & Manolakos, D. The influence of cutting conditions and cutting tool geometry on the atomistic modeling of precision cutting. Engineering Solid Mechanics. 2015;3(3):195-206.

References
Alder, B.J. & Wainwright, T.E. (1957) Phase transition for a hard sphere model. The Journal of Chemical Physics, 27(6), 1208-1209.

Belak, J. & Stowers, I.F. (1990) A molecular dynamics model of the orthogonal cutting process. in Proceedings of the ASPE Annual Conference, Rochester, New York, 100-104.

Belak, J., Boercker, D.B. & Stowers, I.F. (1993) Simulation of nanometre-scale deformation of metallic and ceramic. MRS Bulletin, 18(5), 55-60.

Cai M.B., Li X.P. & Rahman M. (2007) Study of the temperature and stress in nanoscale ductile mode cutting of silicon using molecular dynamics simulation. Journal of Materials Processing Technology, 192-193, 607-612.

Dziedzic J., Rychcik-Leyk M. & Rybicki J. (2008) Degradation of a nano-cutting tool: An MD simulation. Journal of Non-Crystalline Solids, 354, 4309–4315.

Girifalco, L.A. & Weizer, V.G. (1959) Application of the Morse potential function to cubic materials. Physics Review, 114(3), 687-690.

Ikawa, N., Shimada, S., Tanaka, H. & Ohmori, G. (1991) An Atomistic Analysis of Nanometric Chip Removal as Affected by Tool-Work Interaction in Diamond Turning. CIRP Annals - Manufacturing Technology, 40(1), 551-554.

Inamura, T., Takezawa, N. & Taniguchi, N. (1992) Atomic-Scale Cutting in a Computer Using Crystal Models of Copper and Diamond. CIRP Annals - Manufacturing Technology, 41(1), 121-124.

Isono Y. & Tanaka T. (1997) Three dimensional molecular dynamics simulation of atomic scale precision processing using a pin tool. JSME International Journal Series A Solid Mechanics and Material Engineering, 40(3), 211-218.

Kim, J. D. & Moon, C.H. (1995) A study on the Cutting Mechanism of Microcutting using Molecular Dynamics. International Journal of Advanced Manufacturing Technology, 11, 319-324.

Komanduri R. & Raff L.M. (2001) A review on the molecular dynamics simulation of machining at the atomic scale. Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture, 215, 1639 – 1672.

Komanduri, R., Chandrasekaran, N. & Raff, L.M. (1998) Effect of tool geometry in nanometric cutting: a molecular dynamics simulation approach. Wear, 219(1), 84-97.

Komanduri, R., Chandrasekaran, N. & Raff, L.M. (2000) M.D. Simulation of nanometric cutting of single crystal aluminum - effect of crystal orientation and direction of cutting. Wear, 242(1-2), 60-88.

Li J., Fang Q., Zhang L & Liu Y. (2015) The effect of rough surface on nanoscale high speed grinding by a molecular dynamics simulation. Computational Materials Science, 98, 252-262.

Maekawa, K. & Itoh, A. (1995) Friction and tool wear in nano-scale machining- a molecular dynamics approach. Wear, 188, 115-122.

Markopoulos A.P. (2013) Finite Element Method in Machining Processes. London: Springer

Markopoulos A.P. & Manolakos D.E. (2014) Modeling of Micromachining. in: Davim, J.P (Ed), Modern Mechanical Engineering, Springer-Verlag, Berlin Heidelberg, 285-323.

Metropolis N., Rosenbluth A.W., Rosenbluth M.N., Teller A.H. & Teller E. (1953) Equation of State Calculations by Fast Computing Machines. The Journal of Chemical Physics, 21(6), 1087-1092

Oluwajobi A.O. & Chen X. (2010) The fundamentals of modelling abrasive machining using molecular dynamics. International Journal of Abrasive Technology, 3(4), 354-381.

Pei, Q.X., Lu, C., Fang, F.Z. & Wu, H. (2006) Nanometric cutting of copper: A molecular dynamics study. Computational Materials Science, 37, 434-441.

Rentsch R. & Inasaki I. (1994) Molecular Dynamics Simulation for Abrasive Processes. CIRP Annals- Manufacturing Technology, 43(1), 327-330.

Romero P.A., Anciaux G., Molinari A. & Molinari J.F. (2013) Insights into the thermo-mechanics of orthogonal nanometric Machining. Computational Materials Science, 72, 116-126.

Romero P.A., J?rvi T.T., Beckmann N., Mrovec M. & Moseler M. (2014) Coarse Graining and Localized Plasticity between Sliding Nanocrystalline Metals. Physical Review Letters, 113, 036101.

Rapaport, D.C. (2004). The Art of Molecular Dynamics Simulation. Cambridge University Press.

Ye, Y.Y., Biswas, R., Morris, J.R., Bastawros, A. & Chandra A. (2003) Molecular dynamics simulation of nanoscale machining of copper. Nanotechnology, 14, 390-396.

Zhu, P.-Z., Qiu, C., Fang, F.-Z., Yuan, D.-D., & Shen, X.C. (2014) Molecular dynamics simulations of nanometric cutting mechanisms of amorphous alloy. Applied Surface Science, 317, 432-442.
  • 17
  • 1
  • 2
  • 3
  • 4
  • 5

📚 Journal: Engineering Solid Mechanics | 📅 Year: 2015 | 📖 Volume: 3 | 📄 Issue: 3 | 👁️ Views: 2084 | 📊 Crossref: 6

Related Articles:
  • Surface roughness prediction of particulate composites using artificial neural networks in turning operation
  • Surface roughness and cutting force estimation in the CNC turning using artificial neural networks
  • Multiple characteristics optimization in machining of GFRP composites using Grey relational analysis
  • A response surface methodology and desirability approach for predictive modeling and optimization of cutting temperature in machining hardened steel
  • Experimental investigation on flank wear and tool life, cost analysis and mathematical model in turning hardened steel using coated carbide inserts

📝 Ready to share your research?

Engineering Solid Mechanics is accepting new submissions for upcoming issues. Join our community of authors and publish your work with us.

✓ Open access
✓ Rigorous peer review
✓ Fast publication
📤 Submit Your Manuscript →

📖 Author Guidelines

® 2010-2026 GrowingScience.Com