Smooth particle hydrodynamics modeling of cutting force in milling process of TC4

Xiao-Guang Guo , Ming Li , Zhi-Gang Dong , Rui-Feng Zhai , Zhu-Ji Jin , Ren-Ke Kang

Advances in Manufacturing ›› 2019, Vol. 7 ›› Issue (4) : 364 -373.

PDF
Advances in Manufacturing ›› 2019, Vol. 7 ›› Issue (4) : 364 -373. DOI: 10.1007/s40436-019-00276-z
Article

Smooth particle hydrodynamics modeling of cutting force in milling process of TC4

Author information +
History +
PDF

Abstract

Milling is one of the main methods for processing titanium alloy. At present, the complex process of milling is usually simulated by finite element method, which often has problems in mesh distortion and mesh reconstruction. Therefore, a meshless three-dimensional milling simulation model was established for TC4 titanium alloy using the smooth particle hydrodynamics (SPH) method. Firstly, the established SPH model was analyzed by the LS-DYNA software, and the stress distribution, temperature field, and cutting force during milling were studied under specific conditions. Subsequently, the cutting force was simulated under different cutting parameters and the effects of these parameters on the cutting force were determined. Finally, based on a series of cutting force experiments, the accuracy of the simulation model was verified. This study proves the feasibility of SPH method in the simulation of titanium alloy milling process and provides novel methods for investigating the processing mechanism and optimizing the processing technology of titanium alloys.

Keywords

TC4 titanium / Smooth particle hydrodynamics (SPH) / Milling / Cutting temperature / Cutting force

Cite this article

Download citation ▾
Xiao-Guang Guo, Ming Li, Zhi-Gang Dong, Rui-Feng Zhai, Zhu-Ji Jin, Ren-Ke Kang. Smooth particle hydrodynamics modeling of cutting force in milling process of TC4. Advances in Manufacturing, 2019, 7(4): 364-373 DOI:10.1007/s40436-019-00276-z

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

Science Challenge Project(NO. TZ2018006-0101-01)

Science Fund for Creative Research Groups http://dx.doi.org/10.13039/501100003999(NO. 51621064)

AI Summary AI Mindmap
PDF

120

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/