Three-dimensional finite element modeling of effect on the cutting forces of rake angle and approach angle in milling

2016 ◽  
Vol 231 (2) ◽  
pp. 83-88 ◽  
Author(s):  
Kadir Gok ◽  
Hüseyin Sari ◽  
Arif Gok ◽  
Süleyman Neseli ◽  
Erol Turkes ◽  
...  
Keyword(s):  
Cutting Tools ◽  
Three Dimensional ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Rake Angle ◽  
Depth Of Cut ◽  
Dry Cutting ◽  
Milling Operations ◽  
Dimensional Finite Element ◽  
Three Dimensional Finite Element

In this study, milling operations were carried out using AISI 1040 specimens steel in dry cutting conditions. The cutting tools used in the experiment include P20 tool steel and they also have three different approach angles (45°, 60°, 75°) and rake angles (0°, −6°, −12°). In milling experiments, cutting parameters with a depth of cut of 1.5 mm, cutting speed of 193 m/min, and feed rate of 313 mm/min were selected. A comparison was presented between the force values which were obtained by measured value and predicted with numerical simulations, and then a good agreement was found between measured and predicted force values. As result of, it was observed that the rake and approach angles were effective in milling operations.

On Predicting Softening Effects in Hard Turned Surfaces—Part II: Finite Element Modeling and Verification

2004 ◽  
Vol 127 (3) ◽  
pp. 484-491 ◽  
Author(s):  
Jing Shi ◽  
C. Richard Liu
Keyword(s):  
Finite Element ◽  
Thermal History ◽  
Three Dimensional ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Hardness Measurement ◽  
Fe Model ◽  
Dimensional Finite Element ◽  
History Of ◽  
Three Dimensional Finite Element

A material softening model based on thermal activation energy has been successfully established through tempering experiments in the first part of this study. To apply the model to predicting material softening in hard turned surfaces, the thermal history of work material is needed. In this part, a three-dimensional finite element (FE) model of machining hardened 52100 steel is constructed, and coupled thermal-stress analysis is performed to obtain the material thermal history. Then the material softening model uses the computed thermal history as input to predict the material hardness profiles along the depth into the machined surfaces. Overall, the prediction precisely catches the trend of hardness change along depth and agrees reasonably well with the hardness measurement. What’s more, the sensitivity of material softening to cutting parameters is investigated both quantitatively and qualitatively. Within the investigation range, it is observed that the increase of tool flank wear and feed rate produces severe material softening and a deeper softened layer, while the increase of cutting speed causes significant softening to the surface material but hardly changes the softened depth.

Research on the Surface Roughness of Dry Cutting Different Levels of Austempering Ductile Iron (ADI)

2011 ◽  
Vol 464 ◽  
pp. 496-500
Author(s):  
Xiao Hong Xue ◽  
Xu Hong Guo ◽  
Ting Ting Chen ◽  
Dong Dong Wan ◽  
Qiao Wang
Keyword(s):  
Surface Roughness ◽  
Surface Quality ◽  
Cubic Boron Nitride ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Isothermal Quenching ◽  
Dry Cutting ◽  
Quenching Temperature

Three cutting tools of different materials (ceramics CC6050, cubic boron nitride CB7025, carbide GC2025) are used for dry turning of 9 groups of ADI which heat-treated under different quenching time and quenching temperature. The surface roughness of ADI workpieces were tested after the finish turning at changed cutting parameters, and the influencing factors of surface quality were analysed. Results showed that the surface roughness values of all 9 groups of ADI workpieces obtained by CC6050 were the lowest and the surface quality was better at lower depth of cut ap and feed rate f with higher cutting speed vc . Meanwhile, the surface roughness was influenced by the isothermal quenching parameters of ADI workpieces significantly.

Recent Development of Parameter Optimization for Metal Cutting and Grinding Processes

2013 ◽  
Vol 652-654 ◽  
pp. 2218-2221 ◽  
Author(s):  
Li Bao An ◽  
Chun Guang Lu
Keyword(s):  
Parameter Optimization ◽  
High Speed ◽  
Metal Cutting ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Optimization Techniques ◽  
Depth Of Cut ◽  
Dry Cutting ◽  
Optimization Of Cutting Parameters

Metal cutting indicates a specific category of processes in which unwanted material is removed from workpeice by single- or multi-point cutting tools for making products meeting prescribed specifications. Parameter optimization in metal cutting plays an important role in satisfying quality requirements of machined parts at low production cost or time. It requires optimal selection of cutting speed, feed rate, depth of cut, and the number of passes. A brief review of recent progress on the optimization of cutting parameters is introduced in the present work. Some new machining practices expending in recent years are involved including hard turning, dry cutting, high speed machining, machining of difficult-to-machine materials and composites. Modeling skills for creating optimization models and optimization techniques for solving optimal or near-optimal solutions are summarized and analyzed.

Effect of Cutting Parameters on Surface Texture of Flame Sprayed Coatings

2013 ◽  
Vol 199 ◽  
pp. 396-401
Author(s):  
Robert Starosta
Keyword(s):  
Feed Rate ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Rake Angle ◽  
Depth Of Cut ◽  
Nose Radius ◽  
Clearance Angle ◽  
Approach Angle ◽  
Cutting Inserts

Coatings were turned by two tools: a) ISO 2R 2525K10, geometry and cutting parameters recommended by Messner Eutectic Castolin Company (tool angle β = 90o, approach angle κr = 45o, nose radius rε =0,8 mm, clearance angle α = 6o, rake angle γ = -5o) b) bit tool with CBN WNGA080408S01030A insert mounted in DWLNRL-2525M08 holder (cutting inserts β = 80o, approach angle κr = 95o, nose radius 0,8 mm, clearance angle α = 6o, rake angle γ = -6o). The influence of cutting speed, feed rate, depth of turning on the coating surface roughness was estimated. The following cutting parameters: cutting speed Vc = 45 214 m/min, feed rate f = 0,04 0,196 mm/rev, depth of cut ap = 0,05 0,3 mm. The lowest value of the roughness Ra = 0,5μm of the coatings were obtained by using cutting tools and parameters and bit tool: Vc = 214 m/min, f = 0,06 mm/rev, ap = 0,3 mm.

Finite Element Simulation of Titanium Alloy Turning Process

2013 ◽  
Vol 391 ◽  
pp. 14-17 ◽  
Author(s):  
Cheng Jun Yin ◽  
Qing Chun Zheng ◽  
Ya Hui Hu
Keyword(s):  
Finite Element ◽  
Titanium Alloy ◽  
Three Dimensional ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Element Model ◽  
Simulation Software ◽  
Dimensional Finite Element ◽  
Three Dimensional Finite Element

In this paper, three-dimensional finite element model of titanium alloy TC4 was established by using three-dimensional finite simulation software-Deform.Change rule of cutting force and cutting temperature can be obtained in different cutting parameters including cutting speed, feed rate and cutting depth.

Development of Tooling Cost Model for High Speed Hard Turning

2011 ◽  
Vol 418-420 ◽  
pp. 1482-1485 ◽  
Author(s):  
Erry Yulian Triblas Adesta ◽  
Muataz Al Hazza ◽  
Delvis Agusman ◽  
Agus Geter Edy Sutjipto
Keyword(s):  
Feed Rate ◽  
High Speed ◽  
Hard Turning ◽  
Cost Model ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Rake Angle ◽  
Depth Of Cut ◽  
Predictive Regression ◽  
Aisi 4340

The current work presents the development of cost model for tooling during high speed hard turning of AISI 4340 hardened steel using regression analysis. A set of experimental data using ceramic cutting tools, composed approximately of Al2O3 (70%) and TiC (30%) on AISI 4340 heat treated to a hardness of 60 HRC was obtained in the following design boundary: cutting speeds (175-325 m/min), feed rate (0.075-0.125 m/rev), negative rake angle (0 to -12) and depth of cut of (0.1-0.15) mm. The output data is used to develop a new model in predicting the tooling cost using in terms of cutting speed, feed rate, depth of cut and rake angle. Box Behnken Design was used in developing the model. Predictive regression model was found to be capable of good predictions the tooling cost within the boundary design.

Predictive Modeling and Optimization of Cutting Forces Through RSM and Taguchi Techniques in the Turning of ASTM B574 (Hastelloy C-22)

2018 ◽  
pp. 398-417
Author(s):  
İsmail Kırbaş ◽  
Musa Peker ◽  
Gültekin Basmacı ◽  
Mustafa Ay
Keyword(s):  
Feed Rate ◽  
Cutting Forces ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Rake Angle ◽  
Orthogonal Experimental Design ◽  
Depth Of Cut ◽  
Effective Parameters ◽  
Factors Affecting ◽  
The Impact

In this chapter, the impact of cutting parameters (depth of cut, cutting speed, feed, flow, rake angle, lead angle) on cutting forces in the turning process with regard to ASTM B574 (Hastelloy C-22) material has been investigated. Variance analysis has been applied in order to determine the factors affecting the cutting forces. The optimization of the parameters affecting the surface roughness has been obtained using response surface methodology (RSM) based on the Taguchi orthogonal experimental design. The accuracy of the developed models required for the estimation of the force values (Fx, Fy, Fz) is quite successful. In this study, where the R2 value has been used as the criterion/measure, accuracy values of 93.35%, 95.03%, and 95.09% have been achieved for Fx, Fy, and Fz, respectively. As a result of the ANOVA analysis, the most effective parameters for Fx at a 95% confidence interval are depth of cut, feed rate, flow, and rake angle. The most effective parameter for Fy is depth of cut, while the most effective parameters for Fz are depth of cut, feed rate, and flow, respectively.

Life Prediction of Cutting Tool by the Workpiece Cutting Condition

2011 ◽  
Vol 223 ◽  
pp. 554-563 ◽  
Author(s):  
Noemia Gomes de Mattos de Mesquita ◽  
José Eduardo Ferreira de Oliveira ◽  
Arimatea Quaresma Ferraz
Keyword(s):  
Cutting Tool ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Operating Conditions ◽  
Production Costs ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Workpiece Material ◽  
The Cost

Stops to exchange cutting tool, to set up again the tool in a turning operation with CNC or to measure the workpiece dimensions have direct influence on production. The premature removal of the cutting tool results in high cost of machining, since the parcel relating to the cost of the cutting tool increases. On the other hand the late exchange of cutting tool also increases the cost of production because getting parts out of the preset tolerances may require rework for its use, when it does not cause bigger problems such as breaking of cutting tools or the loss of the part. Therefore, the right time to exchange the tool should be well defined when wanted to minimize production costs. When the flank wear is the limiting tool life, the time predetermination that a cutting tool must be used for the machining occurs within the limits of tolerance can be done without difficulty. This paper aims to show how the life of the cutting tool can be calculated taking into account the cutting parameters (cutting speed, feed and depth of cut), workpiece material, power of the machine, the dimensional tolerance of the part, the finishing surface, the geometry of the cutting tool and operating conditions of the machine tool, once known the parameters of Taylor algebraic structure. These parameters were raised for the ABNT 1038 steel machined with cutting tools of hard metal.

Tool/Chip Interfacial Friction Analysis in Atomistic Machining of Polycrystalline Coppers

2014 ◽  
Vol 2 (4) ◽  
Author(s):  
Jing Shi ◽  
Chunhui Ji ◽  
Yachao Wang ◽  
Steve Hsueh-Ming Wang
Keyword(s):  
Grain Size ◽  
Friction Force ◽  
Normal Force ◽  
Three Dimensional ◽  
Cutting Speed ◽  
Rake Angle ◽  
Depth Of Cut ◽  
Polycrystalline Copper ◽  
Friction Forces ◽  
Force Components

Three-dimensional (3D) molecular dynamics (MD) simulation is performed to study the tool/chip interface friction phenomenon in machining of polycrystalline copper at atomistic scale. Three polycrystalline copper structures with the equivalent grain sizes of 12.25, 7.72, and 6.26 nm are constructed for simulation. Also, a monocrystalline copper structure is simulated as the benchmark case. Besides the grain size, the effects of depth of cut, cutting speed, and tool rake angle are also considered. It is found that the friction force and normal force distributions along the tool/chip interface in both polycrystalline and monocrystalline machining exhibit similar patterns. The reduction in grain size overall increases the magnitude of normal force along the tool/chip interface, but the normal forces in all polycrystalline cases are smaller than that in the monocrystalline case. In atomistic machining of polycrystalline coppers, the increase of depth of cut consistently increases the normal force along the entire contact area, but this trend cannot be observed for the friction force. In addition, both higher cutting speed and more negative tool rake angle do not bring significant changes to the distributions of normal and friction forces on the interface, but both factors tend to increase the magnitudes of the two force components.

Energy Cost Optimization in High Speed Hard Turning Using Simulated Annealing Algorithm

2015 ◽  
Vol 1115 ◽  
pp. 104-108
Author(s):  
Muataz Hazza F. Al Hazza ◽  
Erry Y.T. Adesta ◽  
Muhammad Hasibul Hasan ◽  
Norhashimah Shaffiar
Keyword(s):  
Simulated Annealing ◽  
Energy Cost ◽  
High Speed ◽  
Hard Turning ◽  
Simulated Annealing Algorithm ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Rake Angle ◽  
Depth Of Cut ◽  
Annealing Algorithm

Selecting the cutting conditions to optimize the economics of machining process as assessed by energy machining cost is essential. The aim of this research is to determine the optimum cutting parameters that minimize the energy cost needed for removing one cubic centimetre of material in High Speed Hard Turning (HSHT) process. To achieve that, a set of experimental machining data to cut hardened steel AISI 4340 was obtained with different ranges of cutting speed, feed rate, depth of cut and negative rake angle using mixed ceramic as a cutting tool. Regression models have been developed by using Box-Behnken design as a design of experiment. Then, the Simulated Annealing Algorithm (SAA) has been used to optimize the cutting parameters. The data collected was statistically modelled. The results show that the range of minimum energy cost to remove one cubic centimetre of material for the three techniques can be achieved in the range of 300 to 308 as a cutting speed, -12 for cutting rake angle, 0.125 as a feed rate and 0.15 as a depth of cut.

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