Optimizing Turning Process for EN43 by Taguchi Method under Various Machining Parameters (original) (raw)
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Optimization of Surface Roughness of EN8 Steel in CNC Turning Operation by Taguchi Concept
In the present research work the effect of CNC machining parameters: cutting speed C s , depth of cut D c and feed rate F on the surface roughness (Ra) in a turning of EN8 Steel is investigated using the Taguchi method and ANOVA. A three level, three parameter design of experiment,L9 orthogonal array using Minitab 14 software, the signal-to-noise (S/N) ratio is employed to study the performance characteristics in the turning of EN8 Steel by taking coated carbide inserts cutting tool on CNC turning machine. The statistical methods of signal to noise ratio (S/N ratio) and the analysis of variance (ANOVA) are applied to investigate effects of cutting speed, depth of cut and feed rate on surface roughness. The analysis of variance (ANOVA) is applied to study the optimization of the process parameters affecting the surface roughness was achieved with the Taguchi orthogonal test design. The results are verified by taking confirmation experiments. The present investigation indicates that f...
Application of Taguchi Method for Optimizing Surface Roughness in CNC Turning of en 8 Steel
Turning operation is the basic metal removal process; during this process heat is generated between the work piece and cutting tool which affects the surface finish of the work piece. The advantage of using this CNC turning process is to reduce the cost and also enhance the quality of the finished component. In this experimental work conducted on EN8 material using CNC Lathe with SINUMERIK 802D Control System with variable cutting speed of 60 rpm, 80 rpm and 100 rpm based on the L9 orthogonal array. The turning parameters such as spindle speed, feed rate and depth of cut was selected and investigated at three different levels to study the effect on surface roughness. The surface roughness of the work piece is measured using TR 1900 SURFACE ROUGHNESS TESTER. The optimum level of turning parameters was determined by using Taguchi design of experiments. The statistical methods of signal to noise ratio (S/N) and analysis of variance (ANOVA) were applied to investigate the effects of tur...
This paper point of the optimizing the cutting parameters for the surface roughness obtained in turning operation using taguchi technique. The array, the signal-to-noise ratio, and analysis of variance are employed to study the performance characteristics of EN 362 steel bars using tungsten carbide cutting tools Mainly cutting parameters namely, insert radius, feed rate, and depth of cut, are optimized with considerations of surface roughness. Experimental results obtained are established to illustrate the effectiveness of this approach.
International Journal for Research in Applied Science and Engineering Technology
The main aim of this paper is to optimize the material removal rate (MRR) in turning process. Taguchi methodology is used as an optimization tool to optimize the turning process. The input parameters for turning process are Cutting Environment, feed rate, nose radius, depth of cut and tool type. The response variable is Surface Roughness. Consideration of noise factor (uncontrollable factor) makes the design robust. Hence machine tool condition in terms of spindle vibration is taken. Cutting speed is kept constant (210 m/min). The results of ANOVA indicate that feed rate is the most significant machining parameters followed by nose radius, cutting environment, depth of cut and tool type. Based on the main effect plot of S/N ratio, the optimal machining parameters are the cutting environment at level 3 (A 3 = MQL), nose radius at level 3 (B 3 = 1.2 mm), feed rate at level3 (C 3 =0.35 mm/rev), depth of cut at level 2 (D 2 = 1.0 mm), and tool type at level 1 (E 1 = Uncoated or A 3 B 3 C 3 D 2 E 1 in short. Surface roughness is optimized up to 0.98 um. Conformity test revealed that the predicted and experimental values of Surface roughness are within the range given by confidence interval.
Journal of Production Engineering, 2017
In this research work an attempt has been made to try to investigate the effects of cutting parameters such as feed rate cutting speed and depth of cut on surface roughness in turning operation of 16MnCr5 steel, is a case hardening steel with by the support of Taguchi technique. An orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) were used to determine the effects and contributions of cutting speed, feed rate and depth of cut on the response variable. Turning operations were carried out by Tungsten carbide coated cutting tool inserts. The experiments were conducted at three different cutting speeds (400, 600 and 800 rpm) with three different feed rates (0.06, 0.12 and 0.18 mm/rev) and a constant depth of cut (0.5, 1.0 and 1.5 mm). The cutting parameters are optimized using signal to noise ratio and the analysis of variance.obtained result data revelled that depth of cut has most significant effect over surface roughness followed by cutting speed while feed rate has lowest effect.
IJSRD, 2013
In present area of advance technology, the qualitative and quantitative requirement of customer is frequently change so the demand of the hour is increasing. Maintaining the economic production with optimal use of resources is of prime concern for the engineers. Metal machining is one of them. Metal machining with various process parameters is one of them. The experimental and theoretical studies show that process performance can be improved considerably by proper selection of machining parameters. The challenge of modern machining industries is mainly focused on the achievement of high quality, in terms of work piece dimensional accuracy, lower surface roughness, high production rate, less tool wear on the cutting tools, economy of machining in terms of cost saving and increase the performance of the product with reduced environmental impact.This particular phenomenon can affect the efficiency and quality of the process. The performance was assessed in terms of different parameters such as depth of cut, material removal rate, cutting efficiency. Experimental investigations were conducted to study the effect of different cutting speed , feed rate and depth of cut on material removal rate (MRR) and surface roughness in CNC machine. Taguchi's design of experiments and analysis of variance were used to determine the effect of machining parameters on Ra and MRR.
International Journal of Engineering Research and Technology (IJERT), 2015
https://www.ijert.org/optimization-of-surface-roughness-parameters-for-en-8-steel-by-tungsten-carbide-tool-in-turning-operation https://www.ijert.org/research/optimization-of-surface-roughness-parameters-for-en-8-steel-by-tungsten-carbide-tool-in-turning-operation-IJERTV4IS060815.pdf Better quality of the product can afford finest customer satisfaction. The purpose of this research paper is focused mainly to improve the quality of the product by considering different factors such as cutting parameters, tool wear and surface roughness. The objective was to reduce the lead time, increasing productivity and improve the surface roughness of the product. This present paper presents an experimental study by two types of cutting fluids such as vegetable oil and mineral oil, workpiece material EN8 steel and tool material Tungsten carbide. Taguchi design is used for machining parameters and optimizing the surface roughness value using desirability functions.
EVALUATION AND OPTIMIZATION OF CUTTING PARAMETERS, FOR TURNING OF EN-8 STEEL: A TAGUCHI APPROACH
The surface finish is one of the prime necessities of clients, for machine parts. This investigation concentrates on improving turning parameters in view of Taguchi technique, to limit surface harshness. Tests have been directed utilizing the L27 orthogonal array in a lathe machine, hard turning of EN-8 steel, utilizing carbide tool in dry condition. The statistical methods of S/N ratio-'smaller is better'-and the analysis of variance (ANOVA) were applied, to investigate the effects on spindle speed, feed rate and depth of cut on surface roughness. The depth of cut was recognized as the most influential process parameter for minimum surface roughness.
THE PREDICTION OF SURFACE ROUGHNESS IN FINISH TURNING OF EN-19 STEEL
Surface roughness, is an admensuration of the pattern of the surface. The peaks and valleys are the indicators to determine whether the surface is rough or smooth. Roughness portrays an extensive role in demonstrating how the object will interface with its environment. The method we have used here was a turning process in which there are basically five distinct specifications i.e pressurized coolant jet, rake angle, spindle speed, feed rate and depth of cut. The Taguchi approach is an adequate channel in which response variable can be optimized by taking fewer experimental runs. The aim of the paper is to obtain an optimal setting of these five distinct turning process parameters by using Carbide P- 30 cutting tool in turning En19 steel having carbon percentage 0.39 as specimen. The Analysis of Variance (ANOVA) and Signal-to-Noise (SN) ratio and were used to analyze the performance. The results illustrate that Spindle speed followed by pressurized coolant jet, rake angle, feed rate and depth of cut was the combination of the optimal levels of factors that affects the surface roughness of the specimen. The results have been cross checked by the confirmation experiments.