Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Praveen Kumar, Sanjeev Kumar Singh Yadav
DOI Link: https://doi.org/10.22214/ijraset.2022.47240
Certificate: View Certificate
The measurement of all machining forces and surface finish during the turning process. All types of machining process the cutting tool, workpiece of surfaces roughness, tool wear, quality, and accuracy of the part of machining the present study.to investigate the effect of machining input parameters (spindle speed, feed rate, depth of cut) on measuring the forces after machining (cutting force, feed force, thrust force) and surface roughness for turning operation. Using of workpieces is EN8 steel and a cutting tool is a carbide tool. experiment stabilized on the lathe machine. The force is measured by a triaxial piezoelectric sensors base dynamometer and data is transmitted by a data aquation system. this is controlled by LAB-VIEW software and stores the forces in the computer. there are 27 experiments, and one parameter is changed and two parameters are constant at an experiment. measured the forces and (Ra) is analyzed is by minitab18 software design a regression equation and (ANOVA). The minimum force and (Ra) the experimental (force &surface roughness is nearest to the predicted value
I. INTRODUCTION
The process of material removal (turning operation) is using the machining component manufacturing required dimension, the accuracy of the workpiece, and surface finish. this experiment uses a triaxial piezoelectric sensor-based dynamometer to measure the machining forces of the turning operation on the lathe machine. Using of workpieces are EN8 steel and the cutting tool is a carbide tool. The dynamometer is mounted on a lathe machine and holds a cutting tool. When the machining input parameter (spindle speed, feed rate, depth of cut) varies according to the lathe machine properties. time of machining workpieces is contacting to the cutting tool the workpiece generates a force on a dynamometer and when the forces is acting on the dynamometer this produces an electric charge and further transfers the charge in the data aquation system through the connecting cable. The data aquation system is change the electric charge to numerical/digital values and this is controlled by LAB-VIEW software and stores the forces in the computer. this research takes 27 experiments to change input parameter spindle speed (186,269,315), feed rate (0.15,0.2,0.25) depth of cut (0.25,0.5,0.75) measured all machining forces (feed force, thrust force, cutting force) and surface roughness is measured by roughness taster after machining of workpieces. all the forces and surface roughness are analysis predicted by using of Taguchi approach .to find the best machining parameter.
II. EXPERIMENTAL SETUP
The experimental setup has been carried out to measure the various triaxial forces, (cutting force, trusted force, and feed forces) generated by the workpiece on the cutting tool during the turning operation on the lathe machine.
The turning operation is performed on the lathe machine (JKLS-LM-500*300) of 50 kilograms. with the selection process of machining parameters according to the machine’s limitations. such as some variable parameters on the Machine. The machining parameters are Spindle speed, feed rate, and depute of cut. The cutting tool is used as a carbide tool for the turning operation and the tool is fitted to the dynamometer with a help of a tool holder. and the dynamometer is used (Kristle 9327C) triaxial load cell type. A dynamometer is a triaxial piezoelectric sensor-based, measuring three forces (Fx Fy Fz) Sensors are included in between a tool holding cover plate and base plate fitted on a lathe machine. The dynamometer is connected to a distribution box with a connecting cable and further connects the charge amplifier and data aquation system. DAQ is controlled by LAB-VIEW software on the computer. LAB-VIEW is a graphical programming language this software has created a program on lab-view software to control, and measure the machining forces. measure the surface roughness of the machining workpieces.
A . Experimental Workpiece.
In this experiment using the workpiece EN8 steel has tensile strength for an unalloyed average carbon steel EN8 is provided the batter surface finish, hardness, and dust resistance treatment of hardness process. EN8 steel is used in engineering field applications. The chemical contributions (%) elements of EN8 steel as shown in the table.
Table 4.
measure Cutting forces on LAB- VIEW Software in computer simulation and surface refresh measure
Ex no |
Spindle Speed (rpm) |
Feed rate (mm/rev) |
DOC (mm) |
Cutting force (fz) |
Feed Force(fy) |
Thrust Force(fx) |
Resultant Force(N) |
Ra (µm) |
1 |
186 |
0.15 |
0.25 |
182.33 |
83.64 |
72.13 |
213.17 |
4.824 |
2 |
186 |
0.15 |
0.5 |
387.99 |
145.43 |
121.54 |
431.8 |
5.261 |
3 |
186 |
0.15 |
0.75 |
663.59 |
348.01 |
133.33 |
761.07 |
5.891 |
4 |
186 |
0.2 |
0.25 |
236.61 |
78.96 |
115 |
274.67 |
4.016 |
5 |
186 |
0.2 |
0.5 |
407.26 |
172.12 |
132.8 |
461.65 |
6.658 |
6 |
186 |
0.2 |
0.75 |
606.12 |
282.79 |
171.88 |
690.47 |
7.733 |
7 |
186 |
0.25 |
0.25 |
244.55 |
66.3 |
108.64 |
275.68 |
5.701 |
8 |
186 |
0.25 |
0.5 |
489.44 |
206.35 |
155.28 |
553.39 |
5.942 |
9 |
186 |
0.25 |
0.75 |
875.59 |
406.21 |
283.91 |
1006.11 |
7.969 |
10 |
269 |
0.15 |
0.25 |
151.22 |
64.53 |
75.15 |
180.77 |
5.708 |
11 |
269 |
0.15 |
0.5 |
399.98 |
191.03 |
117.95 |
458.68 |
6.707 |
12 |
269 |
0.15 |
0.75 |
694.69 |
343.52 |
143.93 |
788.2 |
6.951 |
13 |
269 |
0.2 |
0.25 |
207.99 |
65.96 |
90.75 |
236.31 |
3.932 |
14 |
269 |
0.2 |
0.5 |
482.79 |
222.57 |
154.96 |
534.45 |
5.632 |
15 |
269 |
0.2 |
0.75 |
694.25 |
339.08 |
152.24 |
787.48 |
5.987 |
16 |
269 |
0.25 |
0.25 |
244.32 |
63.88 |
104.57 |
273.32 |
4.15 |
17 |
269 |
0.25 |
0.5 |
513.12 |
219.98 |
194.81 |
591.29 |
4.638 |
18 |
269 |
0.25 |
0.75 |
809.36 |
383.04 |
234.14 |
925.52 |
6.002 |
19 |
315 |
0.15 |
0.25 |
134.15 |
45.72 |
59.99 |
153.9 |
3.951 |
20 |
315 |
0.15 |
0.5 |
388.06 |
195.58 |
88.38 |
443.45 |
4.252 |
21 |
315 |
0.15 |
0.75 |
484.34 |
226.54 |
121.83 |
548.4 |
6.651 |
22 |
315 |
0.2 |
0.25 |
172.14 |
61.96 |
99.16 |
208.09 |
4.7 |
23 |
315 |
0.2 |
0.5 |
361.27 |
158.77 |
172.99 |
430.87 |
4.815 |
24 |
315 |
0.2 |
0.75 |
657.07 |
291.09 |
199.71 |
745.89 |
6.122 |
25 |
315 |
0.25 |
0.25 |
221.2 |
55.2 |
97.17 |
247.82 |
4.354 |
26 |
315 |
0.25 |
0.5 |
490.41 |
225.77 |
197.86 |
574.99 |
4.67 |
27 |
315 |
0.25 |
0.75 |
787.29 |
409.05 |
213.39 |
912.51 |
7.255 |
IV. RESULT AND DISCUSSION
A. Investigational Result Of The Resultant Forces Of The Dynamometer Is Based On The Triaxial Piezoelectric Sensor
Table 4 process of the Lathe machine of turning operation and measuring the triaxial forces on the LAB-VIEW Software with Help of a data aquation system and arranging the resultant cutting forces. the minimum resultant force obtained is 153.90N with a spindle speed is 315 rpm, feed 0.15 mm/rev, and depth of cut is 0.25mm, and the maximum resultant force obtained is 1006.11N with a spindle speed is 168 rpm, feed 0.25mm/rev, and depth of cut is 0.75mm. of the 27 experiments the experimental resultant forces and predicted forces are very closeness that the measured cutting force. The reside is different from the resultant forces and predicted force.
Fig. 1 observation order with the plot for the aspect of 27 experiment values. the points were connected not showing a particular model, most of the points across the centreline with negative and positive show the selected variable the limit, and the executed model was good, fig .2 shows the normal probability plot for the experiment of cutting force all point near to the probability line the module is designed by the Taguchi method.
B. Regression Equation
Cutting force (fz) = -244.7 – 0.285 Spindle Speed + 1321 Feed force + 995.1 DOC
Feed Force(fy) = -141.2 – 0.074 Spindle Speed + 435 Feed force + 542.9 DOC
Thrust Force(fx) = -87.2 – 0.0376 Spindle Speed + 728 Feed force + 184.8 DOC
Resultant Force(N) = -292.2 – 0.288 Spindle Speed + 1535 Feed force + 1133.8 DOC
???????C. Investigational Result Of The Surface Roughens (RA) Of The Workpiece After Machining
Table.4 the workpiece after machining measured the surface roughens by a roughness tester. The minimum (Ra) is (3.932) µm with variable parameters is spindle speed 269N, feed rate 0.2mm/rev, and depth of cut 0.25mm. the maximum (Ra) is (7.969) µm with variable parameter is spindle speed 186N, feed rate 0.25mm/rev, and DOC 0.75mm. the residue is a difference of measured (Ra) and the predicted (Ra) is calculated by the Taguchi equation.
Fig.4 The points across the centreline with negative and positive show the selected variable was within the limit and the executed model is best.
Fig .5 shows the normal probability plot for the measured surface roughness of all points near the probability line the module is designed by the Taguchi method.
???????D. Regression Equation
Surface roughness = 4.91 – 0.00617 Spindle Speed + 0.54 Feed force + 4.272 DOC
???????
This study presents on the basis of 27 experimental of machining forces measured by dynamometer and surface roughness measured by roughness texture. The analysis of the value by minitab18 software to design a Taguchi method for the optimization of machining force and surface finish by using a carbide cutting tool on EN-8 steel. generate a regression equation to calculate a predicted value.in this experiment and predicted value of very close. The input parameter spindle speed (269,315) rpm, feed (0.2,0.15) mm/rev, DOC (0.25,0.25) for resultant force is (236.31,153.9) N and Ra is (3.932, 3.951) µm, minimum machining forces, and surface roughness in this experiment for EN 8 steel. The author would like to express their gratitude to Harcourt Butler Technical University for providing the proper machinery for the execution of the study.
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Copyright © 2022 Praveen Kumar, Sanjeev Kumar Singh Yadav. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET47240
Publish Date : 2022-10-31
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here