WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/9999916,
	  title     = {Phenomenological Ductile Fracture Criteria Applied to the Cutting Process},
	  author    = {František Šebek and  Petr Kubík and  Jindřich Petruška and  Jiří Hůlka},
	  country	= {},
	  institution	= {},
	  abstract     = {Present study is aimed on the cutting process of circular
cross-section rods where the fracture is used to separate one rod
into two pieces. Incorporating the phenomenological ductile fracture
model into the explicit formulation of finite element method, the
process can be analyzed without the necessity of realizing too many
real experiments which could be expensive in case of repetitive
testing in different conditions. In the present paper, the steel AISI
1045 was examined and the tensile tests of smooth and notched
cylindrical bars were conducted together with biaxial testing of the
notched tube specimens to calibrate material constants of selected
phenomenological ductile fracture models. These were implemented
into the Abaqus/Explicit through user subroutine VUMAT and used
for cutting process simulation. As the calibration process is based
on variables which cannot be obtained directly from experiments,
numerical simulations of fracture tests are inevitable part of the
calibration. Finally, experiments regarding the cutting process were
carried out and predictive capability of selected fracture models is
discussed. Concluding remarks then make the summary of gained
experience both with the calibration and application of particular
ductile fracture criteria.
},
	    journal   = {International Journal of Aerospace and Mechanical Engineering},
	  volume    = {8},
	  number    = {12},
	  year      = {2014},
	  pages     = {1342 - 1345},
	  ee        = {https://publications.waset.org/pdf/9999916},
	  url   	= {https://publications.waset.org/vol/96},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 96, 2014},
	}