scholarly journals ESTIMATING THE EFFECT OF MACHINING PARAMETERS ON SURFACE ROUGHNESS DURING MACHINING OF HARDENED EN24 STEEL USING COATED CARBIDE INSERTS

2014 ◽  
pp. 123-128
Author(s):  
Sudhansu Ranjan Das ◽  
Amaresh Kumar ◽  
Debabrata Dhupal ◽  
Kali Charan Rath
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Roughness Parameters ◽  
Surface Roughness Parameters ◽  
Hardened En24 ◽  
Coated Carbide ◽  
The Relationship ◽  
Carbide Inserts

In the present study, an attempt has been made to evaluate the performance of multilayer coated carbide inserts during dry turning of hardened EN24 steel (47 HRC). The effect of machining parameters (depth of cut, feed and cutting speed) on surface roughness parameters (Ra and Rz) were investigated by applying ANOVA. The experiments were planned based on Taguchi’s L27 Orthogonal array design. Results showed that surface roughness parameters (Ra and Rz) are mainly influenced by feed and cutting speed, whereas depth of cut exhibits minimum influence on surface roughness (Rz) and neglegible influence in case of surface roughness (Ra). The experimental data were further anlyzed to predict the optimal range of surface roughness parameters (Ra and Rz). Finally, second order regression models were carried out to find out the relationship between the machining parameters and surface roughness parameters.

Evaluation of Process Parameters in Machining of AA6063 Alloy

2018 ◽  
Vol 1148 ◽  
pp. 109-114
Author(s):  
M. Balaji ◽  
C.H. Nagaraju ◽  
V.U.S. Vara Prasad ◽  
R. Kalyani ◽  
B. Avinash
Keyword(s):  
Surface Roughness ◽  
Regression Analysis ◽  
Process Parameters ◽  
Single Channel ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Roughness Parameters ◽  
Surface Roughness Parameters ◽  
Aa6063 Alloy

The main aim of this work is to analyse the significance of cutting parameters on surface roughness and spindle vibrations while machining the AA6063 alloy. The turning experiments were carried out on a CNC lathe with a constant spindle speed of 1000rpm using carbide tool inserts coated with Tic. The cutting speed, feed rate and depth of cut are chosen as process parameters whose values are varied in between 73.51m/min to 94.24m/min, 0.02 to 0.04 mm/rev and 0.25 to 0.45 mm respectively. For each experiment, the surface roughness parameters and the amplitude plots have been noted for analysis. The output data include surface roughness parameters (Ra,Rq,Rz) measured using Talysurf and vibration parameter as vibration amplitude (mm/sec) at the front end of the spindle in transverse direction using single channel spectrum analyzer (FFT).With the collected data Regression analysis is also performed for finding the optimum parameters. The results show that significant variation of surface irregularities and vibration amplitudes were observed with cutting speed and feed. The optimum cutting speed and feed from the regression analysis were 77.0697m/min and 0.0253mm/rev. for the minimum output parameters. No significant effect of depth of cut on output parameters is identified.

EVALUATION OF SURFACE ROUGHNESS PRODUCED BY NANOCUTTING COPPER STRUCTURE USING A LEAST SQUARE MEAN METHOD

2019 ◽  
Vol 27 (01) ◽  
pp. 1950081 ◽  
Author(s):  
CHUNHUI JI ◽  
SHUANGQIU SUN ◽  
BIN LIN ◽  
TIANYI SUI
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Least Square ◽  
Depth Of Cut ◽  
Real Surface ◽  
Roughness Parameters ◽  
Machined Surface ◽  
Surface Roughness Parameters ◽  
3D Surface ◽  
3D Surface Roughness

This work performed molecular dynamic simulations to study the 2D profile and 3D surface topography in the nanometric cutting process. The least square mean method was used to model the evaluation criteria for the surface roughness at the nanometric scale. The result showed that the cutting speed was the most important factor influencing the spacing between the peaks, the sharpness of the peaks, and the randomness of the profile. The plastic deformation degree of the machined surface at the nanometric scale was significantly influenced by the cutting speed and depth of cut. The 2D and 3D surface roughness parameters exhibited a similar variation tendency, and the parameters Ra and Rq tended to increase gradually with an increase in the cutting speed and a decrease in the depth of cut. Finally, it is concluded that at the nanometric scale, the 3D surface roughness parameters could more accurately reflect the real surface characteristics than the 2D parameters.

scholarly journals Surface Quality Assessment after Milling AZ91D Magnesium Alloy Using PCD Tool

Materials ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 617 ◽  
Author(s):  
Ireneusz Zagórski ◽  
Jarosław Korpysa
Keyword(s):  
Surface Roughness ◽  
Magnesium Alloy ◽  
High Speed ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Roughness Parameters ◽  
Operational Parameters

Surface roughness is among the key indicators describing the quality of machined surfaces. Although it is an aggregate of several factors, the condition of the surface is largely determined by the type of tool and the operational parameters of machining. This study sought to examine the effect that particular machining parameters have on the quality of the surface. The investigated operation was the high-speed dry milling of a magnesium alloy with a polycrystalline diamond (PCD) cutting tool dedicated for light metal applications. Magnesium alloys have low density, and thus are commonly used in the aerospace or automotive industries. The state of the Mg surfaces was assessed using the 2D surface roughness parameters, measured on the lateral and the end face of the specimens, and the end-face 3D area roughness parameters. The description of the surfaces was complemented with the surface topography maps and the Abbott–Firestone curves of the specimens. Most 2D roughness parameters were to a limited extent affected by the changes in the cutting speed and the axial depth of cut, therefore, the results from the measurements were subjected to statistical analysis. From the data comparison, it emerged that PCD-tipped tools are resilient to changes in the cutting parameters and produce a high-quality surface finish.

scholarly journals Optimisation of the Machining of Stellite 6 PTA Hardfacing Using Surface Roughness

2010 ◽  
Vol 443 ◽  
pp. 227-231 ◽  
Author(s):  
Md Shahanur Hasan ◽  
Md Mazid Abdul ◽  
Richard E. Clegg
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Deposition Process ◽  
Depth Of Cut ◽  
High Corrosion Resistance ◽  
Turning Operations ◽  
Stellite 6 ◽  
Cutting Regimes ◽  
Coated Carbide ◽  
Carbide Inserts

Stellites are cobalt based super alloys. By virtue of their excellent physio-mechanical properties, stellites are highly regarded engineering materials. Stellites posses high corrosion resistance and wear resistance properties. This study investigates the Stellite deposition process and machinability of Stellite 6 deposited on steel subtrate. Stellite 6 was deposited onto a 4140 bar using a plasma transfer arc (PTA) system and machinability was assessed on the basis of surface roughness. A series of turning operations have been carried out on a conventional lathe using coated carbide inserts and surface roughness was evaluated by Stylus type Surtronic3+ instrument. The values of surface roughness were plotted against different cutting speed, feed rate and depth of cut to display the results in graphical forms. Optimal cutting regimes were established against the best values of surface roughness.

scholarly journals Investigation of tool wear, surface roughness, sound intensity, and power consumption during hard turning of AISI 4140 steel using multilayer-coated carbide inserts

2021 ◽  
Vol 9 (4B) ◽  
Author(s):  
Abidin Şahinoğlu ◽  
◽  
Mohammad Rafighi ◽  
Keyword(s):  
Surface Roughness ◽  
Power Consumption ◽  
Cutting Speed ◽  
Sound Intensity ◽  
Depth Of Cut ◽  
Crater Wear ◽  
Aisi 4140 Steel ◽  
Aisi 4140 ◽  
Coated Carbide ◽  
Carbide Inserts

The present study investigated the machinability aspects, namely, surface roughness, sound intensity, power consumption, and crater wear, during dry turning of hardened AISI 4140 steel (63 HRC) employing (TiCN/Al2O3/TiN) multilayer-coated carbide inserts under dry cutting condition. The relationship between machining parameters and output parameters was determined using the Taguchi design. The analysis of variance was employed to evaluate the contributions of input parameters on output parameters. The main effect plots illustrated the impacts of cutting speed, feed, and depth of cut on response variables. Results show that the feed was the most dominant factor that affects surface roughness. Increasing the feed value increases the surface roughness, power consumption, and sound intensity. In the other part of this study, the constant values for feed (0.3 mm/rev), depth of cut (0.7 mm), and cutting speed (150 m/min) have been selected to evaluate a tool life that has 0.3 mm crater wear criteria. The results indicated that multilayer-coated carbide inserts presented very good tool life and reached 0.3 mm in 90 min. The experimental study results showed that chipping and abrasion were found to be the significant wear mechanism during hard turning of AISI 4140 steel. The cutting speed was the most significant parameter on the tool wear, although high cutting speed results the good surface finish but adversely increases the tool crater wear.

scholarly journals Modeling and Parameter Optimization for Surface Roughness and Residual Stress in Dry Turning Process

2017 ◽  
Vol 7 (5) ◽  
pp. 2047-2055
Author(s):  
M. H. El-Axir ◽  
M. M. Elkhabeery ◽  
M. M. Okasha
Keyword(s):  
Residual Stress ◽  
Surface Roughness ◽  
Feed Rate ◽  
Rotational Speed ◽  
Cutting Speed ◽  
Electrochemical Analysis ◽  
Depth Of Cut ◽  
Roughness Parameters ◽  
Etching Technique ◽  
Surface Roughness Parameters

The influence of some turning variables and tool overhang on surface roughness parameters and residual stress induced due to machining 6061-T6 aluminum alloy is investigated in this paper. Four input parameters (cutting speed, feed rate, depth of cut and tool overhang) are considered. Tests are carried out by precision turning operation on a lathe. Design of experiment techniques, i.e. response surface methodology (RSM) and Taguchi's technique have been used to accomplish the objective of the experimental study. Surface roughness parameters are measured using a portable surface roughness device while residual stresses are measured employing deflection-etching technique using electrochemical analysis. The results obtained reveal that feed and rotational speed play significant role in determining the average surface roughness. Furthermore, the depth of cut and tool overhang are less significant parameters, whereas tool overhang interacts with feed rate. The best result of surface roughness was obtained using low or medium values of overhang with low speed and /or feed rate. Minimum maximum tensile residual stress can be obtained with a combination of tool overhang of 37 mm with very low depth of cut, low rotational speed and feed rate of 0.188 mm/rev.

scholarly journals An Investigation on Optimum Process Parameters in Terms of Surface Roughness for Turning Titanium Alloy Ti-6Al-4V Using Coated Carbide

2019 ◽  
Vol 4 (4) ◽  
pp. 137-145
Author(s):  
Abdul Md Mazid ◽  
Md. Shahanur Hasan ◽  
Kazi Badrul Ahsan
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Real Life ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Ti Alloys ◽  
Machined Parts ◽  
Coated Carbide ◽  
Coated Carbide Tools

The quality of machined parts and the productivity of machining that leads to economic sustainability.  These factors are also vital for machinability improvement for materials, as well as, for economically sustainable manufacturing. Due to their poor machinability titanium alloys (Ti-alloys) are categorised as difficult-to-machine materials. For the same reason products made of Ti-alloys are highly expensive and are used only in strategic and sophisticated industries.  A series of real-life experimental investigations was carried out to reveal the economic optimal zones of machining parameters that can produce the best possible surface roughness in machining Ti-6Al-4V alloy, using the coated carbide cutting tools, in shortest period of operation time. As the output of the research, for using the coated carbide tools for machining the investigated Ti-alloy, optimal zones of cutting speed, feed rate and depth of cut have been proposed and presented in graphical format. The current research revealed that all three groups (with nose radius Nr = 0.4, 0.8, and 1.2 mm) of coated carbide tools are capable to produce best surface finish, ranging between Ra = 0.5 - 1.0 µm, with cutting speed starting at V = 60 m/min and beyond at least up to V = 250 m/min while keeping the feed rate and depth of cut as constants as f = 0.1 mm/rev and d = 0.5 mm. The data on the graphs may help researchers, engineers and manufacturers to select optimal economic cutting speed, feed rate and depth of cut to achieve a certain level of surface roughness of machined components as assigned by the product designer on the part drawing. This reduces the production cost substantially, reduces number of defect products and improves product quality for machined parts.

Investigation into Effect of Cutting Conditions on Surface Roughness while Dry Machining Al-11%Si and Al-11%Si-1% Bi Die Casting Alloy

2015 ◽  
Vol 1119 ◽  
pp. 617-621
Author(s):  
Mohsen Marani Barzani ◽  
Ahmed A.D. Sarhan ◽  
Saeed Farahani ◽  
Ramesh Singh
Keyword(s):  
Surface Roughness ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Cnc Machine ◽  
Die Cast ◽  
Cast Alloys ◽  
Experimental Trials ◽  
Coated Carbide ◽  
Carbide Inserts ◽  
Cutting Speeds

In this study, an experimental investigation was conducted to determine the effects of cutting speeds and feed rates on surface roughness in turning of the Al %11Si and Al-11%Si-1% Bi die cast alloys. Experimental trials carried out on a CNC machine using coated carbide inserts (PVD). Three different cutting speeds, 70, 130 and 250 m/min and three feed rates 0.05, 0.1 and 0.15 mm/rev were used with a 0.15 mm constant depth of cut for all experiments. Additionally scanning electron microscope (SEM) was employed to clarify the different types of silicon morphology. Results revealed that surface roughness increased with increasing feed rate from 0.05 to 0.15 mm/rev and decreased with increasing cutting speed from 70 to 250 m/min. The result showed that workpiece containing Bi had the best surface roughness with lamellar silicon shape in comparison with aluminium-silicon with flake-silicon shape.

Sensitivity Analysis and Optimization of Machining Parameters Based on Surface Roughness Prediction for AA6061

2014 ◽  
Vol 598 ◽  
pp. 181-188
Author(s):  
Elssawi Yahya ◽  
Guo Fu Ding ◽  
Sheng Feng Qin
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Cutting Speed ◽  
Original Data ◽  
Depth Of Cut ◽  
Work Piece ◽  
Surface Model ◽  
Machining Parameters ◽  
Machining System ◽  
The Relationship

Surface roughness is strongly affected by machining parameters. In the past few decades, many researchers have established the relationship between the surface roughness and machining parameters, but less attention has been paid to tool shape and geometry. In addition, the number of tool flutes was ignored, which affects in vibrations and machining system. Therefore, this study first-time includes the tool flutes in addition to cutting speed, depth of cut and feed rate as independent variables. Firstly, a set of machining experiments were conducted using AA6061 as a work piece material to provide original data. Response Surface Model (RSM) adopted to establish the relationship model of surface roughness and machining parameters using Minitab 16. Based on analysis of variance (ANOVA), the results show cutter flutes has higher significant followed by feed rate, depth of cut and cutting speed which has less significant. Finally, machining parameters were optimized to desired surface roughness, and optimization prediction error has limited values between-0.02 and 0.02μm.

scholarly journals Determination of Surface Roughness Throughout CNC Turning of ASTM 316 Steel Expending Taguchi Method

2019 ◽  
Vol 8 (4) ◽  
pp. 3966-3969
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Cutting Speed ◽  
Sample Surface ◽  
Depth Of Cut ◽  
Workpiece Surface ◽  
Cnc Turning ◽  
Mathematical Analyses ◽  
Coated Carbide ◽  
Carbide Inserts

Plan of experiment involving Taguchi method got developed and executed to gauge impact of various machining variables (V, F and D) on surface roughness throughout CNC turning of ASTM 316 steel using coated carbide insert. Research findings through different mathematical analyses provided the effective guideline for choosing appropriate machine settings to realize surface roughness within the recommended range during stated turning operation. Ideal machining situations got determined to minimize the surface roughness (here surface roughness factors Ra with Rz ) in turning of the same. Feed remains observed as paramount momentous variable for workpiece surface roughness. Furthermore, cutting speed remains observed as subsequent paramount momentous variable for workpiece surface roughness. Additionally, depth of cut remains observed as least paramount momentous variable for workpiece surface roughness, Rz only, however, depth of cut got absolutely insignificant impression on Ra . Present investigation clearly reveals that multicoated carbide inserts performed splendidly at optimal machining variables combination of V = 150 m/min, F = 0.10 mm/rev with D = 0.4 mm. Calculated ideal limit of sample surface unevenness, Ra and Rz are 0.16 µm ≤ Ra ≤ 0.52 µm and 1.4 µm ≤ Rz ≤ 3.1 µm, respectively. Moreover, surface roughness, Ra is also within stipulated precarious limit of 1.5 µm (i.e. Ra < 1.5 µm) for turning with coated carbide inserts.

Sign in / Sign up

Export Citation Format

Share Document