Finite element modeling of machining of hydrogenated Ti-6Al-4V alloy

Su, Yongsheng; Xu, Jianming; Fu, Yucan; Wei, Weihua

doi:10.1007/s00170-011-3479-z

Cited by 19 publications

(9 citation statements)

References 18 publications

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“…Some experimental works of various manufacturing process (e.g., milling, drilling, trimming, etc.) have been done to investigate the cutting force [12,13], while numerical simulation works were performed to analyze the cutting force by using the micromechanical and macroscopic finite element method [14][15][16]. Furthermore, some analytical models were also proposed to predict the cutting force in FRP composites [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Factor analysis of machining parameters of fiber-reinforced polymer composites based on finite element simulation with experimental investigation

Gao

Xiao

et al. 2015

Int J Adv Manuf Technol

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A three-dimensional (3D) micromechanical finite element (FE) model of machining of fiber-reinforced polymer (FRP) composites was developed in the paper. The FE modeling considers the three phases of a composite, in which the interphase between the fiber and matrix can realize interfacial debonding to represent the failure of composites and allow heat transfer. The machined surface observations and surface roughness measurements of carbon fiber-reinforced polymer (CFRP) composites at different fiber orientations were done firstly, and then, the model predictions of the machining responses, such as cutting force, temperature, and surface roughness, at different fiber orientations were compared with various experimental data for model validation. It is indicated that the three-phase micromechanical model is capable of precisely predicting machining responses and describing the failure modes of fiber shearing or bending related with fiber orientations in the chip formation process. To investigate the complex coupling influences of multiple machining parameters on the key responses of CFRP composites, the singlefactor analyses of each machining parameter were first carried out, and then, the multi-factorial analysis of multiple machining parameters was performed based on the orthogonal design of experiment and the analysis of variance (ANOVA) to quantitatively compare the influences of these key machining parameters on the cutting force and surface roughness. It was found that the fiber orientation angle, depth of cut, and cutting speed prove to be the important factors affecting the cutting force and surface roughness and that the coupling effects of these machining parameters all are relatively negligible in the machining of CFRP composites.

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Section: Introductionmentioning

confidence: 99%

Factor analysis of machining parameters of fiber-reinforced polymer composites based on finite element simulation with experimental investigation

Gao

Xiao

et al. 2015

Int J Adv Manuf Technol

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“…The properties of the material such as Poisson's ratio, specific heat capacity, density, and heat conduction have to be provided as input to the finite element simulation accurately in order to ensure the reliability of the simulation results [20]. In this study, the work material is tungsten carbide WC-17.5Co, and its properties are as shown in Table 2.…”

Section: Geometric Modelmentioning

confidence: 99%

An inverse-identification-based finite element simulation of orthogonal cutting tungsten carbide

Zhao

Khan

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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Modeling and simulation using finite element method (FEM) is a powerful estimation tool and has been greatly helpful to study the metal cutting process, such as investigation of cutting mechanism, optimization of cutting parameters, and design of cutting tools. Thereinto, an effective material model and its parameters are still key problems in the FEM-modeling of metal cutting. In this paper, a 2D FE model for simulating the orthogonal cutting of tungsten carbide WC-17.5Co is developed, in which an inverse identification approach is used to identify the parameters of material model based on orthogonal cutting experiments. The commercially available software DEFORM V11.0 is utilized to develop the FE model, whereas the Johnson-Cook model and Brozzo model are selected as the constitutive model and the fracture model of the work material, respectively. Continuous serrated chip formation is obtained in experiments as well as in FE simulations. The simulated chip morphology, cutting force, and specific cutting force are compared with the experimental results to identify the parameters of the material model. It is found that the chip morphology is more difficult to be used to identify inversely the material model parameters than the cutting force and specific cutting force. The material model parameters are derived, and the verification tests show that there is a close agreement between the simulated and experimental results through comparisons of cutting force and specific cutting force. It indicates that the inversely identified parameters of the Johnson-Cook model and the Brozzo model can be used to describe the mechanical property of tungsten carbide.

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“…S. Yang et. al., [9] examined the Mechanical behavior of hydro-generated Ti-6Al-4V alloy at elevated temperatures and high strain rates with split Hopkinson pressure bar using FEM and J-C constitutive equation. A numerical model was developed to simulate the cutting process.…”

Section: Related Workmentioning

confidence: 99%

Fe Simulation Study of Ultra-Precision Turning of Stainless Steel 316l

Abdel-Aziz¹,

Elkaseer²,

Saber³

et al. 2016

The International Conference on Applied Mechanics and Mechanica

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This paper presents a simulation-based study of ultra-precision turning of hard-to-cut stainless steel 316L. In particular, Finite Element modeling was implemented to simulate the chipping process of stainless steel 316L under restricted process parameters. The aim of this investigation was to understand the underlying cutting phenomena under precise conditions. The simulation outcomes were validated by experimental results that were obtained by the authors in preceding work. A good agreement between both results was found which confirmed the initial hypothesis that FEM is a reliable means to simulate the cutting process accurately and thus to identify the optimum cutting conditions for the best possible performance of the process. The simulation results revealed that the minimum chip thickness of stainless steel 316L was determined to be 69%-75% of the cutting edge radius of the tool.

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Finite element modeling of machining of hydrogenated Ti-6Al-4V alloy

Cited by 19 publications

References 18 publications

Factor analysis of machining parameters of fiber-reinforced polymer composites based on finite element simulation with experimental investigation

Factor analysis of machining parameters of fiber-reinforced polymer composites based on finite element simulation with experimental investigation

An inverse-identification-based finite element simulation of orthogonal cutting tungsten carbide

Fe Simulation Study of Ultra-Precision Turning of Stainless Steel 316l

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