Comptes Rendus
Analyzing orthogonal cutting process using SPH method by kinematic cutting tool
Comptes Rendus. Mécanique, Volume 348 (2020) no. 2, pp. 149-174.

In this paper, the orthogonal cutting process is studied using Smooth Particle Hydrodynamic (SPH) method by a kinematic rigid cutting tool and two work-piece material models: perfectly elastic-plastic (EPP) model and Johnson–Cook (JC) model. The kinematic tool means that if the cutting tool is assumed a rigid body then the horizontal component speed of work-piece particles at cutting tool region are modified to the cutting speed. The chip shapes of orthogonal cutting process using SPH method with kinematic and kinetic tool models are compared with the experimental results. The chip obtained by the simulation with kinematic tool is more similar to the experimental results. Von-Mises stress distribution at different states of the orthogonal cutting process is investigated. The maximum stress occurs at the shear plane and causes the formation of chip teeth. Comparisons between chips of work-pieces with two material models are investigated including different rake angles of 5, 10 and 17.5 with feed rates of 0.3 and 0.4 mm / rev and the cutting forces of the process are obtained. The cutting force of process with 17.5 rake angle, 0.4 mm / rev feed rate and 800m/ min cutting speed is validated using experimental result.

Received:
Revised:
Accepted:
Published online:
DOI: 10.5802/crmeca.6
Keywords: Orthogonal cutting process, Kinematic and kinetic cutting tool, Johnson–Cook material model, SPH method

Mohammad Dehghani 1; Alireza Shafiei 1; Mohammad Mahdi Abootorabi 1

1 Department of Mechanical Engineering, Yazd University, Yazd, Iran
License: CC-BY 4.0
Copyrights: The authors retain unrestricted copyrights and publishing rights
@article{CRMECA_2020__348_2_149_0,
     author = {Mohammad Dehghani and Alireza Shafiei and Mohammad Mahdi Abootorabi},
     title = {Analyzing orthogonal cutting process using {SPH} method by kinematic cutting tool},
     journal = {Comptes Rendus. M\'ecanique},
     pages = {149--174},
     publisher = {Acad\'emie des sciences, Paris},
     volume = {348},
     number = {2},
     year = {2020},
     doi = {10.5802/crmeca.6},
     language = {en},
}
TY  - JOUR
AU  - Mohammad Dehghani
AU  - Alireza Shafiei
AU  - Mohammad Mahdi Abootorabi
TI  - Analyzing orthogonal cutting process using SPH method by kinematic cutting tool
JO  - Comptes Rendus. Mécanique
PY  - 2020
SP  - 149
EP  - 174
VL  - 348
IS  - 2
PB  - Académie des sciences, Paris
DO  - 10.5802/crmeca.6
LA  - en
ID  - CRMECA_2020__348_2_149_0
ER  - 
%0 Journal Article
%A Mohammad Dehghani
%A Alireza Shafiei
%A Mohammad Mahdi Abootorabi
%T Analyzing orthogonal cutting process using SPH method by kinematic cutting tool
%J Comptes Rendus. Mécanique
%D 2020
%P 149-174
%V 348
%N 2
%I Académie des sciences, Paris
%R 10.5802/crmeca.6
%G en
%F CRMECA_2020__348_2_149_0
Mohammad Dehghani; Alireza Shafiei; Mohammad Mahdi Abootorabi. Analyzing orthogonal cutting process using SPH method by kinematic cutting tool. Comptes Rendus. Mécanique, Volume 348 (2020) no. 2, pp. 149-174. doi : 10.5802/crmeca.6. https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.5802/crmeca.6/

[1] E. Budak; E. Ozlu Development of a thermomechanical cutting process model for machining process simulations, CIRP Ann. - Manuf. Technol., Volume 57 (2008), pp. 97-100 | DOI

[2] S. N. Melkote; W. Grzesik; J. Outeiro; J. Rech; V. Schulze; H. Attia; P. Arrazola; R. M. Saoubi; C. Saldana Advances in material and friction data for modelling of metal machining, CIRP Ann. - Manuf. Technol., Volume 66 (2017), pp. 731-754 | DOI

[3] W. Bai; R. Sun; A. Roy; V. V. Silberschmidt Improved analytical prediction of chip formation in orthogonal cutting of titanium alloy Ti6Al4V, Int. J. Mech. Sci., Volume 133 (2017), pp. 357-367 | DOI

[4] K. Yamaguchi; M. Yamada Stress distribution at the interface between tool and chip in machining, J. Eng. Ind.-Trans. ASME, Volume 94 (1972), pp. 683-689

[5] E. Trent; P. Wright Metal Cutting, Elsevier, 2000

[6] C. Zhang; J. Lu; F. Zhang; S. Ikramullah Identification of a new friction model at tool-chip interface in dry orthogonal cutting, Int. J. Adv. Manuf. Technol., Volume 89 (2017), pp. 921-932 | DOI

[7] E. Cakir; E. Ozlu; M. Bakkal; E. Budak Investigation of temperature distribution in orthogonal cutting through dual-zone contact model on the rake face, Int. J. Adv. Manuf. Technol., Volume 96 (2018), pp. 81-89 | DOI

[8] M. Asad; F. Girardin; T. Mabrouki; J.-F. Rigal Dry cutting study of an aluminium alloy (A2024-T351): a numerical and experimental approach, Int. J. Mater. Form., Volume 1 (2008), pp. 499-502 | DOI

[9] M. Calamaz; D. Coupard; F. Girot A new material model for 2D numerical simulation of serrated chip formation when machining titanium alloy Ti – 6Al – 4V, Int. J. Mach. Tools Manuf., Volume 48 (2008), pp. 275-288 | DOI

[10] C. Maranhão; J. P. Davim Simulation modelling practice and theory finite element modelling of machining of AISI 316 steel: Numerical simulation and experimental validation, Simul. Model. Pract. Theory, Volume 18 (2010), pp. 139-156 | DOI

[11] L. Tang; J. Huang; L. Xie Finite element modeling and simulation in dry hard orthogonal cutting AISI D2 tool steel with CBN cutting tool, Int. J. Adv. Manuf. Technol., Volume 53 (2011), pp. 1167-1181 | DOI

[12] L. Wan; B. Haddag; D. Wang; Y. Sheng; D. Yang Effects of friction conditions on the formation of dead metal zone in orthogonal cutting – a finite element study, Mach. Sci. Technol. (2018), pp. 934-952 | DOI

[13] P. L. Menezes; I. V. Avdeev; M. R. Lovell; C. F. H. Iii An explicit finite element model to study the influence of rake angle and friction during orthogonal metal cutting, Int. J. Adv. Manuf. Technol., Volume 73 (2014), pp. 875-885 | DOI

[14] F. Ducobu; E. Filippi On the introduction of adaptive mass scaling in a finite element model of Ti6Al4V orthogonal cutting, Stimul. Model. Pract. Theory, Volume 53 (2015), pp. 1-14 | DOI

[15] F. Ducobu; E. Filippi Finite element modelling of 3D orthogonal cutting experimental tests with the Coupled Eulerian-Lagrangian (CEL) formulation, Finite Elem. Anal. Des., Volume 134 (2017), pp. 27-40 | DOI | Zbl

[16] E. Filippi; F. Ducobu; E. Rivi Mesh influence in orthogonal cutting modelling with the Coupled Eulerian-Lagrangian (CEL) method, Eur. J. Mech. A / Solids, Volume 65 (2017), pp. 324-335 | MR | Zbl

[17] W. Jomaa; O. Mechri; J. Lévesque; V. Songmene Finite element simulation and analysis of serrated chip formation during high – speed machining of AA7075 – T651 alloy, J. Manuf. Process., Volume 26 (2017), pp. 446-458 | DOI

[18] S. Usui; J. Wadell; T. Marusich Finite element modeling of carbon fiber composite orthogonal cutting and drilling, 6th CIRP Int. Conf. High Perform. Cutting, HPC2014, Elsevier B.V., 2014, pp. 211-216

[19] S. P. F. C. Jaspers; J. H. Dautzenberg; D. A. Taminiau Temperature measurement in orthogonai metal cutting, Int. J. Adv. Manuf. Technol., Volume 14 (1998), pp. 7-12 | DOI

[20] X. Y. Gu; C. Y. Dong; T. Cheng MPM simulations of high-speed machining of Ti6Al4V titanium alloy considering dynamic recrystallization phenomenon and thermal conductivity, Appl. Math. Modelling, Volume 56 (2018), pp. 517-538 | MR | Zbl

[21] X. Geng; W. Dou; J. Deng; F. Ji; Z. Yue Simulation of the orthogonal cutting of OFHC copper based on the smoothed particle hydrodynamics method, Int. J. Adv. Manuf. Technol., Volume 91 (2017), pp. 265-272 | DOI

[22] J. Nam; T. Kim; S. W. Cho A numerical cutting model for brittle materials using smooth particle hydrodynamics, Int. J. Adv. Manuf. Technol., Volume 82 (2016), pp. 133-141 | DOI

[23] C. S. Avachat; N. Carolina; N. Carolina A parametric study of the modeling of orthogonal machining, Proc. ASME 2015 Int. Mech. Eng. Congr. Expo., American Society of Mechanical Engineers Digital Collection, 2015, pp. 1-10

[24] M. Madaj; M. Píška On the SPH orthogonal cutting simulation of A2024-T351 alloy, Procedia CIRP, Volume 8 (2013), pp. 152-157 | DOI

[25] (LS-DYNA Keyword User’s Manual, 2007) | DOI

[26] W. Niu; R. Mo; G. R. Liu; H. Sun; X. Dong Modeling of orthogonal cutting process of A2024-T351 with an improved SPH method, Int. J. Adv. Manuf. Technol., Volume 95 (2018), pp. 905-919 | DOI

[27] G. R. Liu; M. B. Liu Smooth Particle Hydrodynamics: A Mesh Free Particle Method, World Scientific, 5 Toh Tuck Link, Singapore, 2003 (ISBN 9789812384560) | Zbl

[28] N. H. Kim; D. R. J. Owen Introduction to Nonlinear Finite Element Analysis, Springer, Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA, 2015

[29] J. D. Seidt; A. Gilat Plastic deformation of A2024-T351 aluminum plate over a wide range of loading conditions, Int. J. Solids Struct., Volume 50 (2013), pp. 1781-1790 | DOI

[30] E. A. Patiño; R. Reyes; D. A. García; A. F. Sarmiento; J. M. Arroyo; D. A. Garzon Implementation of the smoothed particle hydrodynamics method to solve plastic deformation in metals, 10th World Congr. Comput. Mech., Blucher Mechanical Engineering Proceedings, 2014

[31] B. Haddag; S. Atlati; M. Nouari Dry machining aeronautical aluminum alloy AA2024-T351: Analysis of cutting forces, chip segmentation and built-up edge formation, Metals (Basel), Volume 6 (2016), 197 pages | DOI

Cited by Sources:

Comments - Policy