MTS model based force prediction for machining of Ti-6Al-4V

Pan, Zhipeng; Shih, Donald S.; Garmestani, Hamid; Rollett, Anthony D.; Liang, Steven Y.

doi:10.1299/jamdsm.2017jamdsm0033

Cited by 5 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All the MTS model parameters are listed in Table 1. For more detailed information regarding how the parameters are obtained, literature 19,20 could be helpful.…”

Section: Microstructure Evolution In Machiningmentioning

confidence: 99%

Residual stress prediction based on MTS model during machining of Ti-6Al-4V

Pan

Liang

Garmestani

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

View full text Add to dashboard Cite

The material microstructure attributes are largely ignored in the machining community for the machining mechanics modeling. A physical-based mechanical threshold stress (MTS) model is proposed for the orthogonal turning application of Ti-6Al-4V material. The MTS model takes the material internal state variables, such as dislocation to dislocation interaction and dislocation/interstitial resistance, into the flow stress consideration. The MTS model is embedded into an analytical residual stress prediction model for machining induced residual stress prediction. The experimental data are provided for the model validation. The prediction generally captures the trend of the residual stress profile compared with experiments. The proposed model provides a microstructure insight of the workpiece material in the machining process modeling.

show abstract

“…All the MTS model parameters are listed in Table 1. For more detailed information regarding how the parameters are obtained, literature 19,20 could be helpful.…”

Section: Microstructure Evolution In Machiningmentioning

confidence: 99%

Residual stress prediction based on MTS model during machining of Ti-6Al-4V

Pan

Liang

Garmestani

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

View full text Add to dashboard Cite

show abstract

“…Follansbee and Gray's model was later extended by Pan et al based on the work of Kotkunde et al in an attempt to capture the constitutive behavior at a wider temperature (77-673 K) and strain rate (10 −5 -3000 s −1 ) range [3,12]. Pan's model was implemented within finite element codes in an attempt to model the constitutive behavior of Ti-6Al-4V under machining conditions and showed slight improvments in force prediction when compared to the Johnson-Cook flow stress model [13,14] . In Pan et al's work, the stress-strain response was not directly modeled, but rather translated into terms of machining forces.…”

Section: Introductionmentioning

confidence: 99%

Modification of the MTS model for high strain-rate behavior of TI-6AL-4V

Allen

Garmestani

2023

Mater. Res. Express

Self Cite

View full text Add to dashboard Cite

The Mechanical Threshold Stress (MTS) model provides excellent predictive capabilities for the material constitutive response for a wide range of temperatures and strain rates. However, the MTS model fails to capture the rapidly increasing yield stress at high strain rate behavior as the deformation controlling mechanism transitions from thermal activation to drag mechanisms, only capturing the linear behavior. Further, the model typically over predicts the flow stress behavior at yield and post yield due to its use of a constant work hardening rate parameter derived from the stress-strain response at constant saturation stress. An alternative approach to fitting portions of the MTS model is investigated and mathematical models are developed to address these issues. The results show that with appropriate experimental data, the mechanical threshold stress and work hardening rate parameters within the MTS model can quite easily and accurately be modified to extend applicability to high strain rate behavior and more accurately model the initial flow stress behavior at early work hardening rates without modification of the functions core to the MTS model itself.

show abstract