The Study of Coated Carbide Ball End Milling Tools on Inconel 718 Using Numerical Simulation Analysis to Attain Cutting Force and Temperature Predictive Models at the Cutting Zone

2017 ◽  
Vol 882 ◽  
pp. 28-35 ◽  
Author(s):  
S.E.M. Chien ◽  
M.M. Reddy ◽  
V.C.C. Lee ◽  
D. Sujan

The unique properties of Inconel 718 make it a challenging material to machine especially in ball end milling operations due to high cutting force and temperature concentrated at the cutting zone. These essentially lead to accelerated tool wear and failure resulting in high costs and loss of production. In this research, finite element numerical simulation was performed using AdvantEdge to simulate ball end milling using an 8mm TiAlN coated carbide tool. Response Surface Methodology (RSM) is applied by using a 3 level 3 factorial Box-Behnken design of experiment with different combinations of cutting speed, feed rate, and depth of cut parameters with a selected range of parameters to simulate finishing operations. Temperature contour from finite element analysis showed that the highest temperature occurs near the depth of cut line just before the chip separates from the workpiece. Using multiple linear regression, a quadratic polynomial model is developed for maximum cutting force and a linear polynomial model peak tool temperature response respectively. Analysis of Variance (ANOVA) showed that feed rate had the most significance for cutting force followed by depth of cut. Also, cutting speed was found to have little influence. For peak tool temperature, cutting speed was the most significant cutting parameter followed by feed rate and depth of cut.

2013 ◽  
Vol 718-720 ◽  
pp. 239-243
Author(s):  
Girma Seife Abebe ◽  
Ping Liu

Cutting force is a key factor influencing the machining deformation of weak rigidity work pieces. In order to reduce the machining deformation and improve the process precision and the surface quality, it is necessary to study the factors influencing the cutting force and build the regression model of cutting forces. This paper discusses the development of the first and second order models for predicting the cutting force produced in end-milling operation of modified manganese steel. The first and second order cutting force equations are developed using the response surface methodology (RSM) to study the effect of four input cutting parameters (cutting speed, feed rate, radial depth and axial depth of cut) on cutting force. The separate effect of individual input factors and the interaction between these factors are also investigated in this study. The received second order equation shows, based on the variance analysis, that the most influential input parameter was the feed rate followed by axial depth, and radial depth of cut. It was found that the interaction of feed with axial depth was extremely strong. In addition, the interactions of feed with radial depth; and feed rate with radial depth of cut were observed to be quite significant. The predictive models in this study are believed to produce values of the longitudinal component of the cutting force close to those readings recorded experimentally with a 95% confident interval.


2015 ◽  
Vol 761 ◽  
pp. 318-323 ◽  
Author(s):  
Mohd Shahir Kasim ◽  
Mohamad Hazizan Atan ◽  
C.H. Che Haron ◽  
Jaharah A. Ghani ◽  
Mohd Amri Sulaiman ◽  
...  

This article presents the tool wear mechanism when machining Aluminium alloy 6061-T6 with PVD coated carbide under dry cutting condition. Cutting parameters selected were cutting speed, Vc = 115-145 m/min; feed rate fz = 0.15-0.2 mm/tooth and depth of cut, ap = 0.5-0.75 mm. The result showed the tool life of PVD TiAlN ranged from 11 to 97 min. Full factorial approach was employed to exhibit relationship between parameter input and output. From the analysis, cutting speed was found to be the most significant factor for tool performance followed by feed rate and depth of cut. It was also found that most of failure modes occurred were notch wear and flaking near those found near depth of cut line.


1970 ◽  
Vol 40 (2) ◽  
pp. 95-103 ◽  
Author(s):  
Md. Anayet Patwari ◽  
A.K.M. Nurul Amin ◽  
Waleed F. Faris

The present paper discusses the development of the first and second order models for predicting the tangential cutting force produced in end-milling operation of medium carbon steel. The mathematical model for the cutting force prediction has been developed, in terms of cutting parameters cutting speed, feed rate, and axial depth of cut using design of experiments and the response surface methodology (RSM). All the individual cutting parameters affect on cutting forces as well as their interaction are also investigated in this study. The second order equation shows, based on the variance analysis, that the most influential input parameter was the feed rate followed by axial depth of cut and, finally, by the cutting speed. Central composite design was employed in developing the cutting force models in relation to primary cutting parameters. The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The adequacy of the predictive model was verified using ANOVA at 95% confidence level. This paper presents an approach to predict cutting force model in end milling of medium carbon steel using coated TiN insert under dry conditions and full immersion cutting.Keywords: Tangential Cutting Forces; RSM; coated TiN; model.DOI: 10.3329/jme.v40i2.5350Journal of Mechanical Engineering, Vol. ME 40, No. 2, December 2009 95-103


2014 ◽  
Vol 800-801 ◽  
pp. 269-274
Author(s):  
Shu Tao Huang ◽  
Wan Yong Chen ◽  
Li Zhou

In this paper, based on finite element software DEFORM, the model of a large cutting depth and quasi-high speeds milling of titanium alloys is built to study the cutting temperature and cutting force variation along with the change of cutting parameters. The simulation results show that: the location of the maximum cutting temperature appears in the cutting edges of the tool nose circular profile. Meanwhile, due to workpiece material rebound in the cutting process, the interface between workpiece and tool flank face occurs serious extrusion, which results in relatively high cutting temperature on the workpiece machined surface. In addition, cutting speed and feed rate per tooth play a key role in influencing the cutting temperature. However, the influence of cutting depth on the cutting temperature is less clear. With the increase in the feed rate and depth of cut, cutting force increased significantly. In particular, within the scope of the cutting speeds under the given conditions, the cutting force has a tendency to decrease with the cutting speed increasing over 120m/min.


2018 ◽  
Vol 14 (1) ◽  
pp. 115-121 ◽  
Author(s):  
Pun Krishna Kaway ◽  
Xueping Zhang

Titanium alloy, Ti6Al4V, has been widely used in aerospace, automotive, biomedical, and chemical industries due to its exceptional strength to weight ratio, high temperature performance, and corrosion resistance. However, machinability of Ti6Al4V is poor due to high strength at elevated temperatures, low modulus, and low thermal conductivity. Poor machinability of Ti6Al4V deteriorates the surface integrity of the machined surface. Poor surface integrity causes high machining cost, surface defects, initiate cracks, and premature failure of the machined surface. Thus, it is indispensable to obtain better surface integrity when machining titanium alloy Ti6Al4V. Cutting parameters such as cutting speed, feed rate, and depth of cut have significant effect on the surface integrity when machining titanium alloy Ti6Al4V. Hence, this study investigates surface integrity of Ti6Al4V by ball end milling at different cutting speeds, feed rates, and depth of cuts. Microstructure of subsurface is studied at different cutting speeds, feed rates, and depth of cuts. The results show that the depth of deformation of subsurface increases with increase in the cutting speed, feed rate, and depth of cut. Journal of the Institute of Engineering, 2018, 14(1): 115-121


2011 ◽  
Vol 418-420 ◽  
pp. 1428-1434 ◽  
Author(s):  
Keerati Karunasawat ◽  
Somkiat Tangjitsitcharoen

The objective of this research is to develop the surface roughness and cutting force models by using the air blow cutting of the aluminum in the ball-end milling process. The air blow cutting proposed in order to reduce the use of the cutting fluid. The surface roughness and cuttting force models are proposed in the exponential forms which consist of the cutting speed, the feed rate, the depth of cut, the tool diameter, and the air blow pressure. The coefficients of the surface roughness and cutting force models are calculated by utilizing the multiple regression with the least squared method at 95% significant level. The effects of cutting parameters on the cutting force are investigated and measured to analyze the relation between the surface roughness and the cutting conditions. The experimentally obtained results showed that the cutting force has the same trend with the surface roughness. The surface plots are constructed to determine the optimum cutting condition referring to the minimum surface roughness.


2014 ◽  
Vol 693 ◽  
pp. 352-357 ◽  
Author(s):  
Jozef Beňo ◽  
Jozef Stahovec ◽  
Ildikó Maňková ◽  
Marek Vrabeľ ◽  
Ladislav Kandráč

This paper introduces chosen results from measuring cutting forces when end ball milling as well as combined approach to their evaluation. Such a combined approach involves Taguchi array and Response Surface Methodology while main cutting data as depth of cut and side step and cutting speed and feed rate have been taken into account. Main effects of cutting data mentioned above have been identified by means of statistical formulae expressing testing conditions of ball end milling cutters. Interactions among all the cutting conditions are capable of finding out optimized radial and axial depth of cut which are derived from the measured components of the cutting force.


2012 ◽  
Vol 576 ◽  
pp. 76-79
Author(s):  
M. Mohan Reddy ◽  
Alexander Gorin ◽  
Khaled A. Abou-El-Hossein ◽  
D. Sujan ◽  
Mohammad Yeakub Ali ◽  
...  

Advanced ceramic materials are difficult to machine by conventional methods due to the brittle nature and high hardness. The appropriate selection of cutting tool and cutting conditions may help to improve machinability by endmilling. Performance of TiAlN and TiN coated carbide tool insert in end milling of machinable glass ceramic has been investigated. Several dry cutting tests were performed to select the optimum cutting parameters for the endmilling in order to obtain better tool life. In this work, a study was carried out on the influence of cutting speed, feed rate and axial depth of cut on tool wear.The technique of design of experiments (DOE) was used for the planning and analysis of the experiments. Tool wear prediction model was developed using Response surface methodology.The results indicate that tool wear increased with increasing the cutting speed and axial depth of cut. Effect of feed rate is not much significant on selected range of cutting condition


10.30544/323 ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 59-69 ◽  
Author(s):  
Moola Mohan Reddy ◽  
Mohan Kumar ◽  
Kumaraesan Shanmugam

The titanium alloys (Ti-6Al-4V) have been widely used in aerospace, and medical applications and the demand is ever-growing due to its outstanding properties. In this paper, the finite element modeling on machinability of Ti-6Al-4V using cubic boron nitride and polycrystalline diamond tool in dry turning environment was investigated. This research was carried out to generate mathematical models at 95% confidence level for cutting force and temperature distribution regarding cutting speed, feed rate and depth of cut. The Box-Behnken design of experiment was used as Response Surface Model to generate combinations of cutting variables for modeling. Then, finite element simulation was performed using AdvantEdge®. The influence of each cutting parameters on the cutting responses was investigated using Analysis of Variance. The analysis shows that depth of cut is the most influential parameter on resultant cutting force whereas feed rate is the most influential parameter on cutting temperature. Also, the effect of the cutting-edge radius was investigated for both tools. This research would help to maximize the tool life and to improve surface finish.


Mechanika ◽  
2019 ◽  
Vol 25 (6) ◽  
pp. 487-500
Author(s):  
Septi Boucherit ◽  
Sofiane Berkani ◽  
Mohamed Athmane Yallese ◽  
Abdelkrim Haddad ◽  
Salim Belhadi

The present paper investigates the cutting parameters pertaining to the turning of X2CrNi18-09 austenitic stainless steel that are studied and optimized using both RSM and desirability approaches. The cutting tool inserts used are the CVD coated carbide. The cutting speed, the feed rate and the depth of cut represent the main machining parameters considered. Their influence on the surface roughness and the cutting force are further investigated using the ANOVA method. The results obtained lead to conclude that the feed rate is the surface roughness highest influencing parameter with a contribution of 89.69%.The depth of cut and the feed rate are further identified as the most important parameters affecting the cutting force with contributions of 46.46% and 39.04% respectively. The quadratic mathematical models presenting the progression of the surface roughness and the cutting force and based on the machining parameters considered (cutting speed, feed rate and depth of cut) were obtained through the application of the RSM method. They are presented and compared to the experimental results. Good agreement is found between the two sections of the investigation. Furthermore, the flank wear of the CVD-coated carbide tool (GC2015) is found to increase with both cutting speed and cutting time. A higher tool life represented by t=44min is observed at cutting speed, feed rate and depth of cut of 280m/min,0.08mm/rev and 0.2mm respectively. Moreover and at low cutting speeds, the formation of micro weld is noticed and leads to an alteration of the surface roughness of the work piece. Finally, optimizing the machining parameters with the objective of achieving an improved surface roughness was accomplished through the application of the Desirability Function approach. This enabled to finding out the optimal parameters for maximal material removal rate and best surface quality for a cutting speed of 350m/min, a feed rate of 0.088 mm/rev and a depth of cut of 0.9mm.  


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