A numerical algorithm for the full coupling of mechanical deformation, thermal deformation and phase transformation in surface grinding

“…As a result, the interaction between abrasive grits and different phases will generate different mechanical properties (Nguyena et al, 2014). Some numerical methods have been developed to analyze the thermo-metallurgical or thermo-mechanical effects during grind-hardening, such as transient temperature distribution, micro-structural transformation, part distortions and surface integrity (Brinksmeier et al, 2003;Foeckerer et al, 2012Foeckerer et al, , 2013Kolkwitz et al, 2011aKolkwitz et al, , 2011bMahdi and Zhang, 2000;Nguyen and Zhang, 2011;Zaeh et al, 2009). Duscha et al (2011) modeled and simulated the change of material properties as a function of temperature and phase history during grinding.…”

Section: Introductionmentioning

confidence: 98%

Material phase transformation at high heating rate during grinding

Zhou

Steven

2016

Machining Science and Technology

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The modeling of maraging steel phase transformation in grinding process is presented in this article. Specifically, heating rate and contact zone temperature are examined to quantitatively link material properties, wheel topography characteristics and process parameters to the kinetics of diffusion-controlled transformation and diffusionless transformation. Physics-based modeling and prediction for the volume fractions of phase transformation in continuous heating under anisothermal conditions are developed based upon the addition of volume fractions in sequential segmented isothermal processes of grinding. The predictive model is validated by 18Ni (250) maraging steel grinding experiments, X-ray diffraction measurements and regression analyses.Results are compared to the model predicted of martensite and ferrite phase volume fractions after grinding. The physics-based model is experimentally validated as viable to predict the occurrence and extent of phase transformation related to material properties, wheel topography and grinding thermal-mechanical loading. Finally, correlation analysis is used to quantify the importance of the input variables to both model-predicted and X-ray diffraction measured phase transformation results.

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“…Effects of temperature gradients, mechanical stresses and phase transformations on residual stresses were first combined by ZHANG et al [5][6][7]. Although, the transformation from austenite to martensite was explicitly defined in the models of ZHANG and MAHDI, the volume change going with this phenomenon, which has a significant effect on the residual stress evaluation, was not taken into account.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of Phase Transformation during Grinding

Duscha

Eser

Klocke

et al. 2011

AMR

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The grinding process is one of the most important finishing processes in production industry. During the grinding process the workpiece is subjected to mechanical and thermal loads. They can induce thermal damages in terms of phase transformation due to critical temperature history. A holistic model helps to describe and predict the influence of these loads on the residual stresses in the surface layer. In this paper, a very promising approach using the Finite Element Method (FEM) to simulate the surface grinding process in terms of thermal and mechanical loads during grinding of hardened and tempered steels with vitrified bonded CBN grinding wheels is introduced. The investigations were conducted for deep, pendulum and speed stroke grinding. The change of workpiece material properties was modelled as a function of temperature and phase history. The results lead to the necessary time depending temperature distribution within the surface layer. Hence, the phase transformation can be calculated. The FEM software "Sysweld" was used to analyze the phase transformation kinetics. Hence, the size of the rehardened zone after grinding can be predicted. The evaluation of the FEM model with micrographs of ground workpiece specimens showed a strong correlation for different grinding parameters. Based on the understanding of mechanical and thermal loads as well as phase transformation kinetics in the surface layers the resulting residual stresses can be determined.

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A numerical algorithm for the full coupling of mechanical deformation, thermal deformation and phase transformation in surface grinding

Cited by 19 publications

References 7 publications

The onset of tensile residual stresses in grinding of hardened steels

The onset of tensile residual stresses in grinding of hardened steels

Material phase transformation at high heating rate during grinding

Modeling and Simulation of Phase Transformation during Grinding

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