Optimization of Johnson–Cook constitutive model parameters

• Autorzy: Löschner Piotr , Jarosz Krzysztof , Niesłony Piotr

Identyfikatory

DOI

10.5604/01.3001.0013.4082

• Języki publikacji: EN

Abstrakty

EN

In modern machining industry, the concept of process optimization has gained widespread recognition. FEM simulations are commonly used for the optimization of machining operations, allowing for a proper choice of tool geometry and process parameters to obtain results that are in accordance with end user criteria. However, one has to be wary that a good agreement of experimental and simulation results is mandatory if the simulation is to be used as a basis for optimization of a real-life process. Therefore, a proper choice of constitutive model parameters is vital. Those parameter values are dependent on many variables. Constitutive model parameter values are determined experimentally – therefore, they are accurate only for the conditions (temperature, strain rate etc.) under which the experiment was performed. The alteration, or optimization of model parameters is necessary if cutting and experiment conditions differ, if one wishes to obtain applicable results. In this work, the authors aim to present a method of optimizing the Johnson–Cook constitutive model parameters to obtain a better fit with experimental data.

Słowa kluczowe

EN

optimization; Johnson-Cook model; titanium alloy

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2019
• Tom: Vol. 19, No. 3
• Strony: 66--73
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Löschner Piotr

• Opole University of Technology, Faculty of Mechanical Engineering, Department of Manufacturing Engineering and Automation, Opole, Poland

autor

Jarosz Krzysztof

• Opole University of Technology, Faculty of Mechanical Engineering, Department of Manufacturing Engineering and Automation, Opole, Poland

autor

Niesłony Piotr

• Opole University of Technology, Faculty of Mechanical Engineering, Department of Manufacturing Engineering and Automation, Opole, Poland

Bibliografia

• [1] MOREK R., 2012, Optimization of the technological process, STAL Metale & Nowe Technologie, 1–2, 74–76 (in Polish).
• [2] WINIARSKI Z., KOWAL Z., JĘDRZEJEWSKI J., 2017, Precise modelling of machine tool drives with ball screw thermal behaviour, Journal of Machine Engineering, 17/1, 31–45.
• [3] NOVOTNY L., SINDLER J., FIALA S., SVED J., 2016, Modelling and optimization of machine tools on foundations, Journal of Machine Engineering, 16/1, 43–56.
• [4] GUO Y. B.. YEN D. W., 2004, A FEM study on mechanisms of discontinuous chip formation in hard machining. Journal of Materials Processing Technology, 155, 1350–1356.
• [5] KARPAT Y., 2011, Temperature dependent flow softening of titanium alloy Ti6Al4V: An investigation using finite element simulation of machining. Journal of Materials Processing Technology, 211/4, 737–749.
• [6] MARANHAO C., DAVIM, J.P., 2010, Finite element modelling of machining of AISI 316 steel: numerical simulation and experimental validation. Simulation Modelling Practice and Theory, 18/2, 139–156.
• [7] ZHANG Y., OUTEIRO J. C., MABROUKI T., 2015, On the selection of Johnson–Cook constitutive model parameters for Ti-6Al-4V using three types of numerical models of orthogonal cutting. Procedia CIRP 31.
• [8] ÖZEL, T., YILDIZ S., CIURANA J., 2009, Influence of Material Models on Serrated Chip Formation in Simulation of Machining Ti-6Al-4V Titanium Alloy. 12th CIRP International Workshop on Modeling of Machining Operations.
• [9] ÖZEL T., SIMA M., SRIVASTAVA A.K., 2010, Finite Element Simulation of High Speed Machining Ti-6Al-4V Alloy Using Modified Material Models. Transactions of the North American Manufacturing Research Institution of SME. 38. 49–56.
• [10] NIESŁONY P., GRZESIK W., CHUDY R., HABRAT W., 2015, Meshing strategies in FEM simulation of the machining process. Archives of Civil and Mechanical Engineering, 15/1, 62–70.
• [11] LI L, HE N., 2006, A FEA study on mechanisms of saw-tooth chip deformation in high speed cutting of Ti-6-Al-4V alloy. Fifth International Conference on High Speed Machining (HSM), 759–767.
• [12] LÖSCHNER P., JAROSZ K., 2018, Investigation of the Effect of Johnson–Cook Constitutive Model Parameters on Results of the FEM Turning Simulation. Proceedings of the International Conference on Manufacturing Engineering and Materials (ICMEM 2018).
• [13] GRZESIK W., 2016, Advanced Machining Processes of Metallic Materials. Theory, Modelling, and Applications, Elsevier, New York.
• [14] JAFFERY S., KHAN M., SHEIKH N., MATIVENGA P., 2013, Wear Mechanism Analysis in Milling of Ti-6Al-4V alloy. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).