Mechanic of Advanced and Smart Materials
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Investigating the effect of cutting speed and cutting depth during nickel-iron-chromium alloys nano machining of by response surface methodology and molecular dynamics simulation

Document Type : Original Article

Authors

mojtaba zolfaghari 1
hamed heydari 2
mohammad javad ghasemi 1
vahid tahmasbi 3

1 School of Mechanic Engineering, Arak University, Arak, Iran

2 School of Mechanic Engineering, Shahrekord University, Shahrekord, Iran

3 Department of Mechanical Engineering, Arak University Of Technology, Arak, Iran

10.66224/masm.5.3.342.
Abstract
Ultra-precision machining refers to the process of manufacturing very high-precision parts that are required in industries such as aerospace, medicine, optics, and electronics, where nanometer tolerances, fine surface coatings, and precise geometries are essential. In this research, the nano-machining process of polycrystalline nickel-iron-chromium alloy has been investigated using the molecular dynamics method. Investigating the effects of cutting speed and cutting depth parameters on this process by the response surface method shows that by reducing the cutting speed from 400 to 10 m/s, the cutting depth from 5 to 0.5 nm, the values of cutting forces, normal forces and the Von Mises stress of the workpiece decreases by 65.9, 23.4 and 25.58 percent, respectively. When the cutting depth was set to 0.5 nm and the cutting speed was 10 m/s, the temperature reached 308.82 K. At this state, the machining forces—including cutting forces and Thrust force —were measured at 152.42 and 221.2 (eV/n), respectively. This configuration minimizes the machining forces, resulting in an optimized state for the machining process. The investigation of structural changes using the radial distribution function shows that increasing the cutting speed from 10 m/s to 400 m/s, while maintaining a cutting depth of 2.75 nm, results in an increase of 10 units in the radial distribution function. This change has contributed to the structural alterations of the workpiece.

Keywords

Nano-machining
polycrystalline alloy
molecular dynamics
[1] Oluwajobi AO. Nanomachining technology development: University of Huddersfield, 2012.
[2] Brinksmeier E, Aurich J, Govekar E, Heinzel C, Hoffmeister H-W, Klocke F, et al. Advances in modeling and simulation of grinding processes. CIRP annals. 2006;55:667-96.
[3] Hao Z, Cui R, Fan Y, Lin J. Diffusion mechanism of tools and simulation in nanoscale cutting the Ni–Fe–Cr series of Nickel-based superalloy. International Journal of Mechanical Sciences. 2019;150:625-36.
[4] Fang T-H, Weng C-I. Three-dimensional molecular dynamics analysis of processing using a pin tool on the atomic scale. Nanotechnology. 2000;11:148.
[5] Ye Y, Biswas R, Morris J, Bastawros A, Chandra A. Molecular dynamics simulation of nanoscale machining of copper. Nanotechnology. 2003;14:390.
[6] Pei Q, Lu C, Lee H. Large scale molecular dynamics study of nanometric machining of copper. Computational Materials Science. 2007;41:177-85.
[7] Zhu P-z, Hu Y-z, Ma T-b, Wang H. Study of AFM-based nanometric cutting process using molecular dynamics. Applied Surface Science. 2010;256:7160-5.
[8] Shi J, Wang Y, Yang X. Nano-scale machining of polycrystalline coppers-effects of grain size and machining parameters. Nanoscale research letters. 2013;8:1-18.
[9] Fan Y, Wang W, Hao Z, Zhan C. Work hardening mechanism based on molecular dynamics simulation in cutting Ni–Fe–Cr series of Ni-based alloy. Journal of Alloys and Compounds. 2020;819:153331.
[10] Hao Z, Zhang H, Fan Y. Cutting performance of the nanotwinned cBN tool in nano-cutting of Ni-Cr-Fe alloy. Journal of Manufacturing Processes. 2023;95:521-34.
[11] Zhaopeng H, Zaizhen L, Yihang F. Study on the evolution mechanism of subsurface defects in nickel-based single crystal alloy during atomic and close-to-atomic scale cutting. Journal of Manufacturing Processes. 2021;68:14-33.
[12] Hao Z, Lou Z, Fan Y. Study on phase transformation in cutting Ni-base superalloy based on molecular dynamics method. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 2021;235:2065-86.
[13] Doan D-Q, Fang T-H, Chen T-H. Nanomachining characteristics of textured polycrystalline NiFeCo alloy using molecular dynamics. Journal of Manufacturing Processes. 2022;74:423-40.
[14] Garner E, Kolken HM, Wang CC, Zadpoor AA, Wu J. Compatibility in microstructural optimization for additive manufacturing. Additive Manufacturing. 2019;26:65-75.
[15] Dai H, Chen G. A molecular dynamics investigation into the mechanisms of material removal and subsurface damage of nanoscale high speed laser-assisted machining. Molecular Simulation. 2017;43:42-51.
[16] Pei Q, Lu C, Fang F, Wu H. Nanometric cutting of copper: A molecular dynamics study. Computational Materials Science. 2006;37:434-41.
[17] Ikawa N, Shimada S, Tanaka H, Ohmori G. An atomistic analysis of nanometric chip removal as affected by tool-work interaction in diamond turning. CIRP annals. 1991;40:551-4.
[18] Montgomery DC. Design and analysis of experiments: John wiley & sons, 2017.
[19] Klamecki BE. Comparison of material removal rate models and experimental results for the double-sided polishing process. Journal of Materials Processing Technology. 2001;109:248-53.
[20] Saï L, Bouzid W. Influence of velocity profile on the chip thickness and material removal rate in milling. International Journal of Machining and Machinability of Materials. 2014;16:65-79.
[21] Dai H, Zhang F, Chen J. A study of ultraprecision mechanical polishing of single-crystal silicon with laser nano-structured diamond abrasive by molecular dynamics simulation. International Journal of Mechanical Sciences. 2019;157:254-66.
[22] Hu J, Zhuang Z, Liu F, Liu X, Liu Z. Investigation of grain boundary and orientation effects in polycrystalline metals by a dislocation-based crystal plasticity model. Computational materials science. 2019;159:86-94.
[23] Greenwood G, Jones H, Woodhead J. The effect of hydrostatic pressure on the binding energy of gas bubbles to grain boundaries and phase interfaces. Philosophical Magazine. 1975;31:39-46.
[24] Li W, Withers PJ, Preuss M, Shackleton J, Andrews P. Depth and lateral variation of machining-induced residual stress for a nickel base superalloy.  Materials Science Forum: Trans Tech Publ; 2011. 332-9.
[25] Zhang J, Sun T, Yan Y, Liang Y, Dong S. Molecular dynamics investigation of incipient plasticity during nanomachining of Cu (111) surface. International Journal of Nanomanufacturing. 2011;7:559-66.
[26] Koslowski M, Strachan A. Uncertainty propagation in a multiscale model of nanocrystalline plasticity. Reliability Engineering & System Safety. 2011;96:1161-70.
[27] Ovid’ko IA. Plastic deformation mechanisms in nanocrystalline metallic materials. De Gruyter; 2013. 81-8.
[28] Chu C-Y, Tan C-M. Deformation analysis of nanocutting using atomistic model. International Journal of Solids and Structures. 2009;46:1807-14.
[29] Andrianopoulos NP, Pikrakis A. On the effect of hydrostatic stress on fatigue crack propagation. International Journal of Structural Integrity. 2017;8:240-55.
[30] Al-Betar MA. β-hill climbing: an exploratory local search. Neural Computing and Applications. 2017;28:153-68.
[31] Liu Y, Li B, Kong L. A molecular dynamics investigation into nanoscale scratching mechanism of polycrystalline silicon carbide. Computational materials science. 2018;148:76-86.
[32] Sukhomlinov SV, Müser MH. Determination of accurate, mean bond lengths from radial distribution functions. The Journal of chemical physics. 2017;146.
Mechanic of Advanced and Smart Materials
Volume 5, Issue 3
Autumn 2025
Pages 342-365

  • Receive Date 20 December 2024
  • Revise Date 15 January 2025
  • Accept Date 22 February 2025

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