Influence of Cutting Edge Radius of Coated Tool in Orthogonal Cutting of Alloy Steel

2004 ◽  
Author(s):  
J. Rech
Keyword(s):  
Alloy Steel ◽  
Orthogonal Cutting ◽  
Cutting Edge ◽  
Cutting Edge Radius ◽  
Edge Radius ◽  
Coated Tool

FE analysis of the effects of process representations on the prediction of residual stresses and chip morphology in the down-milling of Ti6Al4V

2021 ◽  
pp. 1-40
Author(s):  
Nejah Tounsi ◽  
Tahany El-Wardany
Keyword(s):  
Residual Stresses ◽  
Flank Wear ◽  
Orthogonal Cutting ◽  
Chip Thickness ◽  
Chip Morphology ◽  
Milling Process ◽  
Cutting Edge ◽  
Uncut Chip Thickness ◽  
Cutting Edge Radius ◽  
Edge Radius

Abstract In part II of these two-part papers, the effects of four FEM representations of the milling process on the prediction of chip morphology and residual stresses (RS) are investigated. Part II focuses on the milling of conventional uncut chip thickness h with finite cutting edge radius and flank wear, while part I of these two-part papers has reported on the results in the case of milling small uncut chip thickness in the micrometre range with finite cutting edge radius. Two geometric models of the flank-wear land composed of flat and curved wear land are proposed and assessed. The four process representations are: i) orthogonal cutting with flat wear land and with the mean uncut chip thickness h ¯; ii) orthogonal cutting with flat wear land and with variable h, which characterises the down-milling process and which is imposed on a flat surface of the final workpiece; iii) modelling the true kinematics of the down milling process with flat wear land and iv) modelling the true kinematics of the down milling process with curved wear land. They are designated as Cte-h, Var-h, True-h and True-h*. The effectiveness of these representations is assessed when milling Ti6Al4V with a flank-wear land of VB = 200µm.

Statistical Analysis of Cutting Force, Temperature and Power of FEM Modeling when Machining Titanium Alloy

2014 ◽  
Vol 693 ◽  
pp. 358-363 ◽  
Author(s):  
Ladislav Kandráč ◽  
Ildikó Maňková ◽  
Marek Vrabeľ ◽  
Jozef Beňo ◽  
Jozef Stahovec ◽  
...  
Keyword(s):  
Friction Coefficient ◽  
Cutting Force ◽  
Feed Rate ◽  
Orthogonal Cutting ◽  
Cutting Speed ◽  
Fem Analysis ◽  
Cutting Edge ◽  
Fem Modeling ◽  
Cutting Edge Radius ◽  
Edge Radius

FEM analysis was performed on design of experiment (DoE) according to Taguchi plan L9 (34). In order to overcome the machinability issues associated with machining of Ti-6Al-4V alloy, an attempt has been made in this study to observe the effect of friction coefficient, cutting speed, feed rate and cutting edge radius and on cutting force, temperature and power in 2D orthogonal cutting process supported through out with Third Wave Systems’ AdvantEdge. The comparison between the predicted cutting force, temperature and power at varying of friction coefficient, cutting speed, feed rate and cutting edge radius are presented and discussed. Evaluation of obtained results was processed by the statistical software Minitab 16.

Optimizing the Geometric Parameters of Cutting Edge for the Finishing Machining of 30CR Alloy Steel

2019 ◽  
Vol 16 (08) ◽  
pp. 1850117
Author(s):  
Feng Jiang ◽  
Bicheng Guo ◽  
Tongkai Liao ◽  
Fuzeng Wang ◽  
Xin Cheng ◽  
...  
Keyword(s):  
Alloy Steel ◽  
Rake Angle ◽  
Geometric Parameters ◽  
Cutting Edge ◽  
Fe Model ◽  
Cutting Edge Radius ◽  
Edge Radius ◽  
Tool Stress ◽  
Deformation Coefficient ◽  
Finishing Machining

In order to optimize the geometric parameters of cutting edge for the finishing machining of 30Cr alloy steel, a two-dimensional (2D) finite element (FE) model of orthogonal cutting was built with FE software AdvantEdge. The optimized methodology of the cutting edge geometric parameters was likewise proposed based on the simulated results. Thereafter, the geometric parameters of the cutting edge were optimized based on a comprehensive criterion that combines chip deformation coefficient and tool stress. The chip deformation coefficient indirectly determines the surface roughness, whereas tool stress determines tool wear, thereby affecting the dimensional precision of the components. The rake angle ranges from 12[Formula: see text] to 20[Formula: see text], while the cutting edge radius ranges from 12[Formula: see text][Formula: see text]m to 20[Formula: see text][Formula: see text]m in the optimization process. The optimal rake angle for the finishing machining 30Cr alloy steel is 16[Formula: see text], while the optimal cutting edge radius is 14[Formula: see text][Formula: see text]m with a given relief angle of 7[Formula: see text].

Optimization of the cutting edge radius of PVD coated inserts in milling considering film fatigue failure mechanisms

2000 ◽  
Vol 133-134 ◽  
pp. 501-507 ◽  
Author(s):  
K.-D Bouzakis ◽  
N Michailidis ◽  
N Vidakis ◽  
K Efstathiou ◽  
T Leyendecker ◽  
...  
Keyword(s):  
Fatigue Failure ◽  
Failure Mechanisms ◽  
Cutting Edge ◽  
Cutting Edge Radius ◽  
Edge Radius

Development of Cutting Edge Radius Size of Solid Carbide Mills When Drag Finishing

2020 ◽  
pp. 95-100
Author(s):  
Boris Pätoprstý ◽  
Marek Vozár ◽  
Peter Pokorný ◽  
Tomáš Vopát ◽  
Ivan Buranský ◽  
...  
Keyword(s):  
Cutting Edge ◽  
Cutting Edge Radius ◽  
Edge Radius ◽  
Solid Carbide ◽  
Drag Finishing ◽  
Radius Size

Investigation on Mechanism of Ultra-Smoothed Surface with a Micro Slot on the Flank Face in Micro Cutting

2014 ◽  
Vol 651-653 ◽  
pp. 764-767
Author(s):  
Tao Zhang ◽  
Hou Jun Qi ◽  
Gen Li
Keyword(s):  
Surface Roughness ◽  
Chip Thickness ◽  
Cutting Edge ◽  
Back Side ◽  
Uncut Chip Thickness ◽  
Micro Cutting ◽  
Cutting Edge Radius ◽  
Edge Radius ◽  
Flank Face ◽  
Side Flow

Micro cutting is a promising manufacturing method to obtain good surface integrity. Surface roughness shows size effect when the uncut chip thickness is smaller than the cutting edge radius. A special micro slot on the flank face of cutting tools was manufactured with discharge. Two groups of micro orthogonal cutting were conducted. The surface roughness of machined surface was measured and compared to each other. The results show that surface roughness decreases first and then increases with the ratio of uncut chip thickness to cutting edge radius. The surface machined with micro slot is better than that of without micro slot due to the micro slot restrain the back side flow of work piece based on the finite element model.

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