Supervisors: DR. SUMAN KANT and DR C.S. JAWALKAR Phone: 7696223981, 7696971614 Address: production and industrial engg. department , pec university of technology chandigarh
— Surface roughness in drilling process is important aspect so there is needs to minimize surface... more — Surface roughness in drilling process is important aspect so there is needs to minimize surface roughness while drilling. This paper investigates the influence of drilling parameters such as spindle speed, feed rate and cutting tools on surface roughness while drilling titanium alloy. The experiments have been conducted by employing L27 orthogonal array by considering HSS, Coated HSS and carbide drills. After experimentation second order empirical modelling was done using regression method. Finally, optimization of drilling parameters for surface roughness was done through genetic algorithms. The genetic algorithms give minimum value of surface roughness was 0.0689 corresponding optimize drilling parameters were 576.069, 0.03, and carbide as spindle speed, feed rate and cutting tool respectively.
This paper present investigation on machinability of titanium alloy in terms of surface roughness... more This paper present investigation on machinability of titanium alloy in terms of surface roughness. Titanium Ti-6Al-4V alloy is used in aerospace structural applications. Drilling defect free holes in this material is a challenge. This paper investigate the effect of process parameters i.e. spindle speed, feed rate, and tool material on surface roughness, during drilling of titanium alloy. The experiments have been conducted using L27 orthogonal array on vertical machining centre. The experiments were performed on titanium alloy under dry conditions using uncoated HSS drills, coated HSS drills and carbide drill. After performing experiments second order ANOVA has been applied to find out the most significant factors that affecting our response. Finally second order empirical modeling was developed by RSM to obtain surface roughness as a function of drilling process parameters. The test results confirm the validity and adequacy of the developed model. In addition, the optimal parameter setting has been designed for this process.
COPEN-9 INTERNATIONAL CONFERENCE ON PRECISION MESO MICRO AND NANO ENGINEERING, Dec 11, 2015
Glass fiber reinforced plastic (GFRP) composite materials have variety of applications and are ma... more Glass fiber reinforced plastic (GFRP) composite materials have variety of applications and are mainly used in making aerospace structural components. Drilling holes in such composite materials create lots of problems. In drilling the GFRP composites, delamination is a serious problem and it leads to rejection and imposes heavy loss to the manufacturer. This paper presents the experimental findings during drilling induced delamination, using the design of experiment approach. The experiments have been conducted by varying spindle speed, feed rate and drill diameter all at three level using high speed twist drills. Empirical modeling has been done using multiple linear regression analysis for predicting the delamination factor in drilling. Adequacy of the developed model has been verified by calculating the correlation coefficient. The influence of process parameter i.e. spindle speed, feed rate and drill diameter had been found out using analysis of variance (ANOVA)
In this paper optimization of powder mixed electric discharge machining with multiple performance... more In this paper optimization of powder mixed electric discharge machining with multiple performance characteristic based on orthogonal array with the grey relation has been studied. Grey relation grade obtained from grey relation analysis is used to solve the EDM process with the multiple performance characteristics. Optimal machining parameters are determined by the grey relational grade as the performance index. The machining parameters considered in this study were type of powder, pulse on time, peak current and concentration of powder with performance characteristics are material removal rate and surface roughness. Experimental results showed that performance of powder mixed electric discharge machining can be improved effectively through this approach.
— In modern competitive world the ultimate goal of manufacturing industries, is to manufacture pr... more — In modern competitive world the ultimate goal of manufacturing industries, is to manufacture products at low cost and high quality in short time. Automated and flexible manufacturing systems are employed for that purpose along with CNC machines that are capable of achieving high quality and very low processing time. Metal cutting process is one of the complex process which has several factors contributing towards the quality of the finished product. Turning is one of the most common methods for cutting and especially for machining cast parts. Furthermore, in order to produce any product with high cutting performance, selection of proper cutting parameter is very important. To select the cutting parameters, several mathematical models based on statistical techniques and neural networks have been developed to establish a relation between cutting parameters and cutting performance. The objective of this paper is to review of application of Taguchi method and other statistical method for optimization of turning Parameters to meet the customers' demands.
— Surface roughness in drilling process is important aspect so there is needs to minimize surface... more — Surface roughness in drilling process is important aspect so there is needs to minimize surface roughness while drilling. This paper investigates the influence of drilling parameters such as spindle speed, feed rate and cutting tools on surface roughness while drilling titanium alloy. The experiments have been conducted by employing L27 orthogonal array by considering HSS, Coated HSS and carbide drills. After experimentation second order empirical modelling was done using regression method. Finally, optimization of drilling parameters for surface roughness was done through genetic algorithms. The genetic algorithms give minimum value of surface roughness was 0.0689 corresponding optimize drilling parameters were 576.069, 0.03, and carbide as spindle speed, feed rate and cutting tool respectively.
This paper present investigation on machinability of titanium alloy in terms of surface roughness... more This paper present investigation on machinability of titanium alloy in terms of surface roughness. Titanium Ti-6Al-4V alloy is used in aerospace structural applications. Drilling defect free holes in this material is a challenge. This paper investigate the effect of process parameters i.e. spindle speed, feed rate, and tool material on surface roughness, during drilling of titanium alloy. The experiments have been conducted using L27 orthogonal array on vertical machining centre. The experiments were performed on titanium alloy under dry conditions using uncoated HSS drills, coated HSS drills and carbide drill. After performing experiments second order ANOVA has been applied to find out the most significant factors that affecting our response. Finally second order empirical modeling was developed by RSM to obtain surface roughness as a function of drilling process parameters. The test results confirm the validity and adequacy of the developed model. In addition, the optimal parameter setting has been designed for this process.
COPEN-9 INTERNATIONAL CONFERENCE ON PRECISION MESO MICRO AND NANO ENGINEERING, Dec 11, 2015
Glass fiber reinforced plastic (GFRP) composite materials have variety of applications and are ma... more Glass fiber reinforced plastic (GFRP) composite materials have variety of applications and are mainly used in making aerospace structural components. Drilling holes in such composite materials create lots of problems. In drilling the GFRP composites, delamination is a serious problem and it leads to rejection and imposes heavy loss to the manufacturer. This paper presents the experimental findings during drilling induced delamination, using the design of experiment approach. The experiments have been conducted by varying spindle speed, feed rate and drill diameter all at three level using high speed twist drills. Empirical modeling has been done using multiple linear regression analysis for predicting the delamination factor in drilling. Adequacy of the developed model has been verified by calculating the correlation coefficient. The influence of process parameter i.e. spindle speed, feed rate and drill diameter had been found out using analysis of variance (ANOVA)
In this paper optimization of powder mixed electric discharge machining with multiple performance... more In this paper optimization of powder mixed electric discharge machining with multiple performance characteristic based on orthogonal array with the grey relation has been studied. Grey relation grade obtained from grey relation analysis is used to solve the EDM process with the multiple performance characteristics. Optimal machining parameters are determined by the grey relational grade as the performance index. The machining parameters considered in this study were type of powder, pulse on time, peak current and concentration of powder with performance characteristics are material removal rate and surface roughness. Experimental results showed that performance of powder mixed electric discharge machining can be improved effectively through this approach.
— In modern competitive world the ultimate goal of manufacturing industries, is to manufacture pr... more — In modern competitive world the ultimate goal of manufacturing industries, is to manufacture products at low cost and high quality in short time. Automated and flexible manufacturing systems are employed for that purpose along with CNC machines that are capable of achieving high quality and very low processing time. Metal cutting process is one of the complex process which has several factors contributing towards the quality of the finished product. Turning is one of the most common methods for cutting and especially for machining cast parts. Furthermore, in order to produce any product with high cutting performance, selection of proper cutting parameter is very important. To select the cutting parameters, several mathematical models based on statistical techniques and neural networks have been developed to establish a relation between cutting parameters and cutting performance. The objective of this paper is to review of application of Taguchi method and other statistical method for optimization of turning Parameters to meet the customers' demands.
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