Numerical study of the chatter phenomenon in orthogonal turning
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Chatter is a destructive phenomenon for the surface quality of the workpiece, it occurs during machining when the system (tool-workpiece-machine) vibrates in self-excited mode. It is present by side effects such as bad surface quality, excessive noise, disproportionate tool wear. This work presents a numerical approach to establish cutting stability lobes in orthogonal metal turning. The Abaqus software is used to perform the simulations, the Johnson-Cook laws are considered for the workpiece material strength and fracture, and the Coulomb law is retained for the friction between the workpiece and the tool. An explicit scheme and the Lagrangian formulation are used for the numerical simulations. The tool is considered having longitudinal flexibility, and the thermal conductivity of the workpiece and the tool is introduced. The surface smoothness in then examined, using the arithmetic average roughness. The results are compared firstly to experimental results from literature to validate the approach. Secondly, the results are compared to numerical results from literature obtained by the MSC MARC software basing on an implicit scheme and a stick-slip arctangent friction between the workpiece and the tool.
KeywordsOrthogonal turning Chatter vibration Numerical cutting Stability lobe Surface roughness
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- 2.Arnold RN (1946) The mechanism of tool vibration in the cutting of steel. Proceedings of Institution of Mechanical Engineers, pp. 154Google Scholar
- 3.Tobias SA (1965) Machine tool vibration. Blackie and Sons Ltd, pp 345Google Scholar
- 4.Tlusty J, Polacek M (1963) The stability of machine tools against self-excited vibrations in machining. In: Proceedings of the international research in production engineering conference, Pittsburgh, PA, ASME, New York, pp 465–474.Google Scholar
- 5.Merritt HE (1965) Theory of self-exited machine tool chatter: contribution to machine tool chatter. J Eng Ind Trans ASME 87:447–454Google Scholar
- 6.Altintas Y (2000) Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design. Cambridge University press, p 286.Google Scholar
- 11.P. Joyot et R. Rakotomalala et M. Touratier (1993) Modélisation de l'usinage formulée en Euler-Lagrange arbitraire. JOURNAL DE PHYSIQUE IV Colloque C7, supplément au Journal de Physique III, 3:1141–1144Google Scholar
- 12.Schermann T, Marsolek J, Schmidt C, Fleischer J (2006) Aspects of the simulation of a cutting process with Abaqus/Explicit including the interaction between the cutting process and the dynamic behaviour of the machine tool. Proceedings of the 9th CIRP international workshop on modeling of machining operations, Bled, Slovenia, 163–170.Google Scholar
- 13.N.Rebelo, J.C. Nagtegaal, L.M. Taylor, Numerical methods in industrial forming processes 99–108 (1992)Google Scholar
- 14.H.K.S (2013) Abaqus/explicit theory and user manuals, damage initiation for ductile metals. Section 24.2.2 of the Abaqus Analysis User's Guide, Version 6.13Google Scholar
- 16.Matthews, William T (1973) Data handbook for metals, (AMMRC MS73–6). U.S. Army Materials and Mechanics Research Center, WatertownGoogle Scholar
- 17.C.Z.Duan, T.Dou, Y.J.Cai, Y.Y.Li (2011) Finite element simulation and experiment of chip formation during high-speed cutting of hardened steel. AMAE Int. J. on Production and Industrial Engineering 2(1):28–32.Google Scholar