Influence of Cutting Parameters on Cutting Force and Surface Finish in Turning Operation (original) (raw)
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Experimental investigation of Surface Roughness and Cutting force in CNC Turning - A Review
Journal of Engineering Science and Technology Review, 2014
The main purpose of this review paper is to check whether quality lies within desired tolerance level which can be accepted by the customers. So, experimental investigation surface roughness and cutting force using various CNC machining parameters including spindle speed (N), feed rate (f), and depth of cut (d),flow rate (Q) and insert nose radius (r). As such, a solemn attempt is made in this paper to investigate the response parameters, viz., Cutting force and Surface Roughness (Ra) a by experimentation on EN 19 turning process. The Design of experiments is carried-out considering Taguchi Technique with four input parameters, namely, spindle speed, feed rate, and depth of cut, flow rate and insert nose radius .The experiments are conducted considering the above materials for L16 and then the impact of each parameter is estimated by ANOAVA. Then the regression analysis is carried-out to find the trend of the response of each material. This experimental study aims at taguchi method ...
2014
The main purpose of this review paper is to check whether quality lies within desired tolerance level which can be accepted by the customers. So, experimental investigation surface roughness and cutting force using various CNC machining parameters including spindle speed (N), feed rate (f), and depth of cut (d),flow rate (Q) and insert nose radius (r). As such, a solemn attempt is made in this paper to investigate the response parameters, viz., Cutting force and Surface Roughness (Ra) a by experimentation on EN 19 turning process. The Design of experiments is carried-out considering Taguchi Technique with four input parameters, namely, spindle speed, feed rate, and depth of cut, flow rate and insert nose radius.The experiments are conducted considering the above materials for L16 and then the impact of each parameter is estimated by ANOAVA. Then the regression analysis is carried-out to find the trend of the response of each material. This experimental study aims at taguchi method h...
2021
In this paper an attempt has been made to find an interaction of cutting parameter on quality of surface roughness, material removing rate and cycle time for workpiece material using cutting tool material for Turing operation performed on CNC machine. Various researcher has performed full factorial experiment and partial factorial experiment to obtain the relationship and effect of these parameters. It has been found that the out of these parameters most important and for is to find the effect of different cutting parameters on the surface of the workpiece. The interaction of all three cutting parameters such as Speed, Feed and Depth of cut are having significant influence on surface roughness produced. Optimum these parameters are of tool using Taguchi method for different cutting tool materials and the workpiece materials. The experimental plan was designed with 3 factors 3 levels and L9 orthogonal array. The result indicates that with the increase in cutting speed and decrease in feed rate results in better surface finish. It was observed that optimum parameters have an impact on energy consumption, material removal rate and cycle time. The result of Taguchi analysis indicates that the effective parameter in surface roughness, vibration and energy consumption is feed rate. The roughness of surface and energy consumption increase as the vibration value increases. The interaction of feed and depth of cut have significant influence on cutting force. This review is focused on recent research carried out for turning operation on CNC machine to study the influence of cutting parameters on the quality of surface roughness for different workpiece materials.
Journal of Mechanical Science and Technology, 2012
An experimental investigation was conducted to analyze the effect of cutting parameters (cutting speed, feed rate and depth of cut) and workpiece hardness on surface roughness and cutting force components. The finish hard turning of AISI 52100 steel with coated Al 2 O 3 + TiC mixed ceramic cutting tools was studied. The planning of experiment were based on Taguchi's L 27 orthogonal array. The response table and analysis of variance (ANOVA) have allowed to check the validity of linear regression model and to determine the significant parameters affecting the surface roughness and cutting forces. The statistical analysis reveals that the feed rate, workpiece hardness and cutting speed have significant effects in reducing the surface roughness; whereas the depth of cut, workpiece hardness and feed rate are observed to have a statistically significant impact on the cutting force components than the cutting speed. Consequently, empirical models were developed to correlate the cutting parameters and workpiece hardness with surface roughness and cutting forces. The optimum machining conditions to produce the lowest surface roughness with minimal cutting force components under these experimental conditions were searched using desirability function approach for multiple response factors optimization. Finally, confirmation experiments were performed to verify the pertinence of the developed empirical models.
Analysis of Surface Roughness with Different Cutting Parameters in Turning: A Review
— This paper is all about the steps and procedures used to optimize turning parameters using Taguchi's design of experiment. An attempt is made to review the literature on optimizing machining parameters in turning processes. In this study, analysis will be done by process parameter like cutting speed, feed rate and depth of cut based on surface roughness in finish turning of work piece material with carbide tool having different rack angle. The surface roughness will measure at the end of useful tool life. The combine effects of the process parameters on performance characteristics will investigating using ANOVA and will normality testing optimization technique will help to optimize the process parameters.
Trans Stellar journals, 2021
Surface finish in turning can be influenced by a number of factors such as feed rate, work material characteristics, work hardness, cutting speed, depth of cut, cutting tool characteristics and use of cutting fluids. In this study, experimental tests using a lathe CNC machine were conducted in order to investigate the effects of the cutting speed and feed rate, workpiece hardness and depth of cut on metals surface roughness and microstructure in the hard turning, using as a factor the ratio of turning speed versus feed rate. The machining experiments were conducted on three of the widely used material such as AISI-SAE 304 stainless steel, RSt 37-2 construction steel and UNS C38000 brass. In order to analyze the effect of the cutting parameters on the surface, two characterization techniques were employed, namely profilometry and microscopy. The topological structure and roughness of the surface were measured using an optical profilometer and the data obtained was analyzed using dedicated commercial software (Visio Software). Furthermore, the detailed microstructure was examined by a field emission scanning electron microscope (SEM).
IRJET, 2020
Nowadays, surface finish has become an important indicator of quality and precision in manufacturing processes and it is considered one of the most significant parameter in industry. In this present study, the influence of different machining parameter surface roughness has been analyzed through experiments. For this experiment the material used is stainless steel420. Stainless steel420 is one of the highly used materials in thermodynamic steam trap and manufacturing industries. Most of the metal parts are manufactured by machining resulting in one of the most vital characteristics of all metal parts which is the surface roughness of the machined surfaces. Moreover, DOE techniques have been used to predict the surface quality and to select the optimal turning conditions. In this study an experimental investigation of cutting parameters (spindle speed, feed and depth of cut) in turning operation of stainless steel420 was done and influence of cutting parameters on surface roughness, tool wear, material removal rate was studied. The machining was performed using tool such as tungsten carbide tool (0.4). Taguchi method is used to find optimum result. Orthogonal array, signal to noise ratio and used to study the performance characteristics in turning operation Keywords: SR, TWR, MRR, ANOVA, S/N-RATIO, Turning is an important and widely used manufacturing process in engineering industries. The study of metal removal focuses on the features of tools, input work materials, and machine parameter settings. The technology of metal removal using turning operations has grown substantially over the past decades and several branches of engineering have contributed to this to achieve the various objectives of the process. Selection of optimal machining conditions is a key factor in achieving these objectives. There are large numbers of variables involved in the turning process. These can be categorized as input variables and output variables. Various input variables involved in the turning process are: cutting speed, feed, depth of cut, number of passes, work material and its properties, tool material and tool geometry, cutting fluid properties and characteristics, etc. Similarly, the output variables associated with the turning process are: production cost, production time, tool life, dimensional accuracy, surface roughness, cutting forces, cutting temperature, and power consumption, etc. For optimization purposes, each output variable is taken as a function of a set of input variables. To achieve several conflicting objectives of the process, optimum setting of the input variables is very essential, and should not be decided randomly on a trial basis or by using the skill of the operator. Use of appropriate optimization techniques is needed to obtain the optimum parameter settings for the process. Bhosale et al. [1], discusses on the parameter optimization of CNC lathe machining for surface roughness using the Taguchi method, where surface roughness generated during machining. In the parameter optimization, the parameters are cutting speed, feed, and depth of cut. After selecting parameters turning on CNC lathe is to be done and selected orthogonal array and parameters used for the optimum set of combined controlled parameters for surface roughness. Into this combination of parameters selected for minimum surface roughness value and for the optimum combination of parameters by Taguchi design. Taguchi orthogonal array L9 for three parameters cutting speed, feed rate, and depth of cut with its combination surface roughness measured. Material-Mild Steel Result-cutting speed-1800rpm, feed rate-0.1mm/min, depth of cut-0.4mm, surface roughness-1.27µ. Davis et al. [2], The present experimental study is concerned with the optimization of cutting parameters (depth of cut, feed rate, spindle speed) in wet turning of EN24 steel (0.4% C) with hardness 40+2 HRC. In the present work, turning operations were carried out on EN24 steel by carbide P-30 cutting tool in wet condition and the combination of the optimal levels of the parameters was obtained. The Analysis of Variance (ANOVA) and Signal-to-Noise ratio were used to study the performance characteristics in turning operation. The results of the analysis show that none of the factors was
Multidiscipline Modeling in Materials and Structures, 2008
This paper presents a study of the development of surface roughness model when turning the mild steel hardened up to 484 HV with mixed alumina ceramic (KY1615) and coated alumina ceramic cutting tools (KY4400). The model was developed in terms of main cutting parameters such as cutting speed, feed rate and depth of cut, using response surface methodology. The established equation indicated that the feed rate affected the surface roughness the most, but other parametres remined stable for arithmetic average height parametre (Ra). However, it decreased with increasing the cutting speed, and with the starting and finishing point of cut for ten point height parametre (Rz). The cutting speed and the depth of cut had a slight effect on surface roughness values of Ra, Rz when using KY4400 cutting tools. Furthermore, the average surface roughness value of Ra was about 0.926 um, 1.089 um for KY1615, KY4400 cutting tools, respectively. The predicted surface roughness was found to be very clos...
Productivity and the quality of the machined parts are the main challenges of metal cutting industry during turning process. Therefore cutting parameters must be chosen and optimize in such a way that the required surface quality can be controlled. Hence statistical design of experiments (DOE) and statistical/mathematical model are used extensively for optimize. The present investigation was carried out for effect of cutting parameters (cutting speed, depth of cut and feed) In turning off mild steel and aluminum to achieve better surface finish and to reduce power requirement by reducing the cutting forces involved in machining. The experimental layout was designed based on the 2^k factorial techniques and analysis of variance (ANOVA) was performed to identify the effect of cutting parameters on surface finish and cutting forces are developed by using multiple regression analysis. The coefficients were calculated by using regression analysis and the model is constructed. The model is tested for its adequacy by using 95% confidence level. By using the mathematical model the main and interaction effects of various process parameters on turning was studied.
International Journal of Engineering Research and Technology (IJERT), 2015
https://www.ijert.org/experimental-study-to-investigate-of-effects-of-cutting-tools-on-surface-roughness-and-mrr-of-en31-alloy-steel-turning-operation-on-cnc-machine-research-review https://www.ijert.org/research/experimental-study-to-investigate-of-effects-of-cutting-tools-on-surface-roughness-and-mrr-of-en31-alloy-steel-turning-operation-on-cnc-machine-research-review-IJERTV4IS020814.pdf The main purpose of this review paper is to check whether quality lies within desired tolerance level which can be accepted by the customers. Surface roughness relative using various CNC machining parameters including spindle speed (N), feed rate (f) and depth of cut (d) and cutting tolls. In experimental study to investigate the surface roughness relatives using various CNC machining parameters like spindle speed, feed and depth of cut and cutting tools on surface finish on EN-31.The evaluation of influence of cutting conditions in facing operation of EN-31 in this paper. Machining was done using cemented carbide insert. Keywords: CNC turning operation, EN-31, Surface roughness, Material removal rate. INTRODUCTION The challenge of modern machining industries is mainly focused on the achievement of high quality in term of work piece dimensional accuracy, surface finish, high production rate, less wear on the cutting tools, economy of machining in terms of cost saving and increase of the performance of the product with reduced environmental .The mechanism behind the formation of surface roughness in CNC Lathe turning process is very dynamic, complicated, and process dependent. Several factors will influence the final surface roughness in CNC Lathe operations such as controllable factors (spindle speed, feed rate and depth of cut) and uncontrollable factors (tool geometry and material properties of both tool and workpiece). Surface finish is one of the most important requirements in machining process, as it is considered an index of product quality. It measures the finer irregularities of the surface texture. Achieving the desired surface quality is critical for the functional behavior of a part.