EFFECTS OF FLOW STRESS AND FRICTION MODELS IN FINITE ELEMENT SIMULATION OF ORTHOGONAL CUTTING—A SENSITIVITY ANALYSIS

Inconel 718 superalloy is one of the difficult-to-machine materials which is employed widely in aerospace industries because of its superior properties such as heat-resistance, high melting temperature, and maintenance of strength and hardness at high temperatures. Material behavior of the Inconel 718 is an important challenge during finite element simulation of the machining process because of the mentioned properties. In this regard, various constants for Johnson–Cook’s constitutive equation have been reported in the literature. Owing to the fact that simulation of machining process is very sensitive to the material model, in this study the effect of different flow stresses were investigated on outputs of the orthogonal cutting process of Inconel 718 alloy. For each model, the predicted results of cutting forces, chip geometry and temperature were compared with experimental results of the previous work at the different feed rates. After comparing the results of the different models, the most suitable Johnson–Cook’s material model was indentified. Obtained results showed that the selected material model can be used reliably for machining simulation of Inconel 718 superalloy.

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The Finite Element Simulation of Milling Based on Orthogonal Cutting Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.499.208 ◽

2012 ◽

Vol 499 ◽

pp. 208-212

Author(s):

Ai Hua Gao ◽

Fu Rong Wang ◽

Jian Xin Zhang

Keyword(s):

Finite Element ◽

Service Life ◽

Finite Element Simulation ◽

Metal Cutting ◽

Orthogonal Cutting ◽

Milling Process ◽

Machining Process ◽

Element Simulation ◽

Basic Parameters ◽

Cutting Model

The paper make the service life of relieving formed milling cutter as the optimization objective, proceed the simulation study on the mechanical degree of cutter, cutting data. The concrete method is that the orthogonal milling model is established to simulate the simulation milling process, some basic parameters which are obtained in the machining process are analyzed and discussed. The results indicate that the finite element simulation of the metal cutting processing can analyze quantitatively some physical properties, such as the cutting force, stress, strain and so on, the traditional way of qualitative analysis is changed. The state of machining is in favour of grasping in the theory, the theory and technology are provided to establish the proper processing technology strategy.

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Comparison of Different Extrapolation Models for Materials in the Closed-Extruding Fine Blanking Simulation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1145.123 ◽

2018 ◽

Vol 1145 ◽

pp. 123-128

Author(s):

Ming Deng ◽

Jiang Po Niu ◽

Yi Long Ma ◽

Lin Lv

Keyword(s):

Finite Element ◽

Flow Stress ◽

Finite Element Simulation ◽

Great Influence ◽

Stress Model ◽

Forming Process ◽

Fine Blanking ◽

Finite Element Software ◽

Element Simulation ◽

Flow Stress Model

The selection of the flow stress model of materials has a great influence on the plastic forming simulation of metal. For closed extrusion fine blanking, selecting the accurate and appropriate material flow stress model can make the finite element simulation closer to the real situation, and the simulation data is more reliable. In order to solve the accuracy problem of finite element simulation closed-extruding fine blanking, 5 types of flow stress fitting curve equations were obtained based on the data of sheet metal tensile test. With the secondary development of finite element software Deform-2D, the circular piece of closed-extruding fine blanking forming process was simulated, whose diameter is 14 mm and thickness is 30 mm. The simulation results of different rheological models were compared after physical experiment being carried out.The results show that Ludwik extrapolation rheological model is suitable for finite element simulation of closed-extruding fine blanking technology, which effectively improves closed-extruding fine blanking simulation accuracy. Lay the foundation for the application of closed-extrusion fine blanking in industry.

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