IJERT-Investigation on the Influence of Cutting Parameters in Hard Turning (original) (raw)
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Relevance of Roughness Parameters of Surface Finish in Precision Hard Turning
2014
Precision hard turning is a process to improve the surface integrity of functional surfaces. Machining experiments are carried out on hardened AISI 52100 bearing steel under dry condition using c-BN cutting tools. A full factorial experimental design is used to characterize the effect of cutting parameters. As surface topography is characterized by numerous roughness parameters, their relative relevance is investigated by statistical indices of performance computed by combining the analysis of variance, discriminant analysis and the bootstrap method. The analysis shows that the profile Length ratio (Lr) and the Roughness average (Ra) are the relevant pair of roughness parameters which best discriminates the effect of cutting parameters and enable the classification of surfaces which cannot be distinguished by one parameter: low profile length ratio Lr (Lr = 100.23%) is clearly distinguished from an irregular surface corresponding to a profile length ratio Lr (Lr = 100.42%), whereas the roughness average Ra values are nearly identical. SCANNING 36:86–94, 2014. © 2013 Wiley Periodicals, Inc.Precision hard turning is a process to improve the surface integrity of functional surfaces. Machining experiments are carried out on hardened AISI 52100 bearing steel under dry condition using c-BN cutting tools. A full factorial experimental design is used to characterize the effect of cutting parameters. As surface topography is characterized by numerous roughness parameters, their relative relevance is investigated by statistical indices of performance computed by combining the analysis of variance, discriminant analysis and the bootstrap method. The analysis shows that the profile Length ratio (Lr) and the Roughness average (Ra) are the relevant pair of roughness parameters which best discriminates the effect of cutting parameters and enable the classification of surfaces which cannot be distinguished by one parameter: low profile length ratio Lr (Lr = 100.23%) is clearly distinguished from an irregular surface corresponding to a profile length ratio Lr (Lr = 100.42%), whereas the roughness average Ra values are nearly identical. SCANNING 36:86–94, 2014. © 2013 Wiley Periodicals, Inc.
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.
International Journal of Computer Engineering in Research Trends, 2018
In this work, experiments are carried out to study the effect of cutting parameters cutting speed, feed rate, and depth of cut on surface roughness during dry turning of 40C8. The objective of this study is to build multiple regression models for a better understanding of the effects of spindle speed, feed and depth of cut on the surface roughness. Full factorial design of experiments corresponding to trials was followed for the experimental design. Analysis of variance determines the contribution of each factor on the output. It is found that feed rate is the most influencing parameter affecting the surface roughness (44.13%) and is followed by cutting speed and depth of cut. The developed predicted model, which includes the effect of spindle speed, feed rate an extent h decrease t and any two-variable interactions, gives an accuracy of about 91.91 %. This study is helpful for understanding and controlling effect of cutting parameters on the surface finish of machined surfaces in dry turning operation.
Measurement, 2011
This study focuses on optimizing turning parameters based on the Taguchi method to minimize surface roughness (Ra and Rz). Experiments have been conducted using the L9 orthogonal array in a CNC turning machine. Dry turning tests are carried out on hardened AISI 4140 (51 HRC) with coated carbide cutting tools. Each experiment is repeated three times and each test uses a new cutting insert to ensure accurate readings of the surface roughness. The statistical methods of signal to noise ratio (SNR) and the analysis of variance (ANOVA) are applied to investigate effects of cutting speed, feed rate and depth of cut on surface roughness. Results of this study indicate that the feed rate has the most significant effect on Ra and Rz. In addition, the effects of two factor interactions of the feed rate-cutting speed and depth of cut-cutting speed appear to be important. The developed model can be used in the metal machining industries in order to determine the optimum cutting parameters for minimum surface roughness.
According to international standard, surface roughness measurement is one of the important characteristics to define the quality of the machining products. Machine tool's condition is an important factor in determining the workpiece topography. Most the state of the art tool condition monitoring systems employed in-situ techniques to determine the profile of the machined tool. Thus in this study, ex-situ techniques were suggested to conduct the experimental work, particularly to monitor the tool wear during turning processes. In particular, vision measuring microscopes and surface roughness tester were used to measure the radius and surface roughness (Ra) measurements respectively. Prior of the investigations, full factorial design of two levels experiments was designed. Two different workpieces were tested with the value of cutting speed, feed rate and depth of cut were remain constants. Statistical analysis were adopted to determine the correlation of the profile of the carbide insert with the radii and Ra measurements. According to the Pearson correlation analysis towards the experimental results, there is a correlation between the bluntness of the tool with the selection dimension measurements. In addition, it was also found that the wear rate of machining the aluminum is lower compared to the machine steel workpiece.
Effect of Machining Parameters on Surface Roughness in Hard Turning Process
2015
PROF. JAYESH V. DESAI Asst. Prof. Mechanical Engineering Dept. LDRP-ITR, Gandhinagar Gujarat (India) Abstract: The development of more wear-resistant tool materials such as Polycrystalline Cubic Boron Nitride (PCBN) and ceramics have made hard turning a potential alternative to grinding operations in the finishing of hard materials. The effect of machining parameters has long been an issue in understanding mechanics of turning. Machining parameters has significant influence on chip formation, heat generation, tool wear, surface finish and surface integrity during turning Therefore, an effort has been made in this research to evaluate the effect of machining parameters nose radius, cutting speed and feed rate on surface roughness when turning tool steel H-11 with CBN tool. Machining trials was performed based on full factorial design under dry condition on Lathe in which I have measured surface roughness. The combined effects of the process parameters on performance characteristics a...