Fibre laser technique is a latest technology in laser cutting. This technique is also available a... more Fibre laser technique is a latest technology in laser cutting. This technique is also available at different power levels and very narrow spot size. Stainless Steel is widely used in various industries throughout the world for producing a number of machinery parts. It requires higher power due to the refractivity & hardness. Therefore, fibre lasers are used for cutting Stainless Steel specially. The aim of this work is to study the influence of process parameters like: cutting power, laser power, assist gas pressure on cutting quality like depth of cut and surface roughness. Full factorial Design of Experiment approach will be applied to find the number of experiments runs to perform on the fibre laser machines. A regression analysis was to find the connection between process parameters and response. Also the interaction between process parameters and its effect on response was done by using ANOVA
Machining is the process of removing the excess material from the work piece or unwanted material... more Machining is the process of removing the excess material from the work piece or unwanted material from the work piece using a cutting tool. The surface finish and tool life obtain in machining process depends upon the various factors like work material, tool material , tool geometry, machine conditions, coolant and feed rate , speed , depth of cut etc. The focus of present study deals with finding optimal controlled process parameters to obtain good surface finish as well as here predicted tool life. It also shows the effect of the process parameters; cutting speed, feed rate and depth of cut on tool life. Experiments design and conducted based on Taguchi method and corresponding surface roughness were noted. The most affecting factor on tool life are cutting speed and feed observed after the experimentation. Here it is also concluded that tool life decreases with increases of cutting speed and feed in machining process for CNMG tool and grey cast iron work material combination.
International Review of Applied Sciences and Engineering, 2011
Non-reinforced and reinforced Poly-Ether-Ether-Ketone (PEEK) plastics have excellent mechanical a... more Non-reinforced and reinforced Poly-Ether-Ether-Ketone (PEEK) plastics have excellent mechanical and thermal properties. Machining is an efficient process that can be used to manufacture specific mechanical parts made from PEEK composites. Researchers have focused on improving the performance of machining operations with the aim of minimizing costs and improving quality of manufactured products, in order to get the best surface roughness and the minimum cutting force. The parameters evaluated are the cutting speed, the depth of cut and the feed rate. In this paper, the effect of the mentioned parameters on surface roughness and cutting force, in dry turning of reinforced PEEK with 30% of carbon fibers (PEEK CF30) using TiN coated cutting tools, is analyzed through using robust design techniques such as Taguchi's design method, signal-to-noise (S/N) ratio and statistical analysis tools such as Pareto-ANOVA. The obtained results have shown that Taguchi method and Pareto ANOVA are s...
Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any... more Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any unmanned computer numeric controlled (CNC) machinery. This prediction technique is also important for optimization of machining process. In the present work, it is observed that, using Taguchi approach, the quality of surface finish can be predicted within a reasonable degree of accuracy by taking the amplitude of vibration of tool holder into account. Surface roughness and tool vibrations are the critical factors which influence the quality of the machined parts. In this research paper, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in turning of 6061-T6511 Aluminum alloy rod. The experiment was designed using Taguchi method and 9 experimental runs were conducted for various combinations of cutting parameters. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristic...
Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any... more Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any unmanned computer numeric controlled (CNC) machinery. This prediction technique is also important for optimization of machining process. In the present work, it is observed that, using Taguchi approach, the quality of surface finish can be predicted within a reasonable degree of accuracy by taking the amplitude of vibration of tool holder into account. Surface roughness and tool vibrations are the critical factors which influence the quality of the machined parts. In this research paper, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in turning of 6061-T6511 Aluminum alloy rod. The experiment was designed using Taguchi method and 9 experimental runs were conducted for various combinations of cutting parameters. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristics at different conditions. In order to analyze the response of the system, experiments were carried out at various spindle speeds, depth of cut and feed rate. The results obtained by this research will be useful for various industries and researchers working in this field.
Fibre laser technique is a latest technology in laser cutting. This technique is also available a... more Fibre laser technique is a latest technology in laser cutting. This technique is also available at different power levels and very narrow spot size. Stainless Steel is widely used in various industries throughout the world for producing a number of machinery parts. It requires higher power due to the refractivity & hardness. Therefore, fibre lasers are used for cutting Stainless Steel specially. The aim of this work is to study the influence of process parameters like: cutting power, laser power, assist gas pressure on cutting quality like depth of cut and surface roughness. Full factorial Design of Experiment approach will be applied to find the number of experiments runs to perform on the fibre laser machines. A regression analysis was to find the connection between process parameters and response. Also the interaction between process parameters and its effect on response was done by using ANOVA
Machining is the process of removing the excess material from the work piece or unwanted material... more Machining is the process of removing the excess material from the work piece or unwanted material from the work piece using a cutting tool. The surface finish and tool life obtain in machining process depends upon the various factors like work material, tool material , tool geometry, machine conditions, coolant and feed rate , speed , depth of cut etc. The focus of present study deals with finding optimal controlled process parameters to obtain good surface finish as well as here predicted tool life. It also shows the effect of the process parameters; cutting speed, feed rate and depth of cut on tool life. Experiments design and conducted based on Taguchi method and corresponding surface roughness were noted. The most affecting factor on tool life are cutting speed and feed observed after the experimentation. Here it is also concluded that tool life decreases with increases of cutting speed and feed in machining process for CNMG tool and grey cast iron work material combination.
International Review of Applied Sciences and Engineering, 2011
Non-reinforced and reinforced Poly-Ether-Ether-Ketone (PEEK) plastics have excellent mechanical a... more Non-reinforced and reinforced Poly-Ether-Ether-Ketone (PEEK) plastics have excellent mechanical and thermal properties. Machining is an efficient process that can be used to manufacture specific mechanical parts made from PEEK composites. Researchers have focused on improving the performance of machining operations with the aim of minimizing costs and improving quality of manufactured products, in order to get the best surface roughness and the minimum cutting force. The parameters evaluated are the cutting speed, the depth of cut and the feed rate. In this paper, the effect of the mentioned parameters on surface roughness and cutting force, in dry turning of reinforced PEEK with 30% of carbon fibers (PEEK CF30) using TiN coated cutting tools, is analyzed through using robust design techniques such as Taguchi's design method, signal-to-noise (S/N) ratio and statistical analysis tools such as Pareto-ANOVA. The obtained results have shown that Taguchi method and Pareto ANOVA are s...
Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any... more Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any unmanned computer numeric controlled (CNC) machinery. This prediction technique is also important for optimization of machining process. In the present work, it is observed that, using Taguchi approach, the quality of surface finish can be predicted within a reasonable degree of accuracy by taking the amplitude of vibration of tool holder into account. Surface roughness and tool vibrations are the critical factors which influence the quality of the machined parts. In this research paper, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in turning of 6061-T6511 Aluminum alloy rod. The experiment was designed using Taguchi method and 9 experimental runs were conducted for various combinations of cutting parameters. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristic...
Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any... more Prediction of surface roughness and dimensional inaccuracies is an essential prerequisite for any unmanned computer numeric controlled (CNC) machinery. This prediction technique is also important for optimization of machining process. In the present work, it is observed that, using Taguchi approach, the quality of surface finish can be predicted within a reasonable degree of accuracy by taking the amplitude of vibration of tool holder into account. Surface roughness and tool vibrations are the critical factors which influence the quality of the machined parts. In this research paper, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in turning of 6061-T6511 Aluminum alloy rod. The experiment was designed using Taguchi method and 9 experimental runs were conducted for various combinations of cutting parameters. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristics at different conditions. In order to analyze the response of the system, experiments were carried out at various spindle speeds, depth of cut and feed rate. The results obtained by this research will be useful for various industries and researchers working in this field.
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Papers by Dheeraj Soni
In this research paper, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in turning of 6061-T6511 Aluminum alloy rod. The experiment was designed using Taguchi method and 9 experimental runs were conducted for various combinations of cutting parameters. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristics at different conditions. In order to analyze the response of the system, experiments were carried out at various spindle speeds, depth of cut and feed rate. The results obtained by this research will be useful for various industries and researchers working in this field.
In this research paper, an attempt has been made to optimize the cutting conditions to get predicted surface roughness in turning of 6061-T6511 Aluminum alloy rod. The experiment was designed using Taguchi method and 9 experimental runs were conducted for various combinations of cutting parameters. The orthogonal array, signal to noise ratio and analysis of variance (ANOVA) were employed to study the performance characteristics at different conditions. In order to analyze the response of the system, experiments were carried out at various spindle speeds, depth of cut and feed rate. The results obtained by this research will be useful for various industries and researchers working in this field.