Journal of The Institution of Engineers (India): Series C, 2014
ABSTRACT Machinability of titanium is poor due to its low thermal conductivity and high chemical ... more ABSTRACT Machinability of titanium is poor due to its low thermal conductivity and high chemical affinity. Lower thermal conductivity of titanium alloy is undesirable on the part of cutting tool causing extensive tool wear. The main task of this work is to predict the various wear mechanisms involved during machining of Ti alloy (Ti6Al4V) and to formulate an analytical mathematical tool wear model for the same. It has been found from various experiments that adhesive and diffusion wear are the dominating wear during machining of Ti alloy with PVD coated tungsten carbide tool. It is also clear from the experiments that the tool wear increases with the increase in cutting parameters like speed, feed and depth of cut. The wear model was validated by carrying out dry machining of Ti alloy at suitable cutting conditions. It has been found that the wearmodel is able to predict the flank wear suitably under gentle cutting conditions
In comparison to other alternative energy sources, wind power is more affordable and environmenta... more In comparison to other alternative energy sources, wind power is more affordable and environmentally friendly, making it one of the most significant energy sources in the world. It is vital to monitor the condition of each wind turbine in the farm and recognize the various states of alert since difficulties with the operation as well as maintenance of wind farms considerably contribute to the rise in their overall expenses. The Supervisory Control and Data Acquisition (SCADA) data-based continuous observation of wind turbine conditions is the most widely used existing strategy to detect the fault early by preventing the wind turbine from reaching a shutdown stage. Several parameters irrelevant to the faults are saved in the SCADA system while the wind turbine is operating. To increase the efficacy of wind turbine fault diagnostics, optimally selected SCADA data parameters are required for fault prediction. Hence, this paper introduces an optimized Convolutional Neural Network (CNN)-...
Advances in Materials Engineering and Manufacturing Processes
Laminated object manufacturing (LOM) is one of the sheet lamination additive manufacturing proces... more Laminated object manufacturing (LOM) is one of the sheet lamination additive manufacturing processes used to manufacture 3D solid object with the help of sheet lamination process. A formerly developed and verified model of LOM was used to study and find out the effects of various process parameters on the temperature profile in the part during the build cycle in this process. The process parameters, i.e., roller speed, roller temperature, cutting time of laser, air temperature of the chamber and the base plate temperature, were varied independently, and their response on the LOM process is noted. This study also presents an analysis of one of the major problems occurred in LOM process, i.e., warping and an optimal combination of these process parameters to reduce this warping effect.
International journal of engineering research and technology, 2019
Electron beam melting (EBM) is an innovative additive manufacturing process in which metal powder... more Electron beam melting (EBM) is an innovative additive manufacturing process in which metal powder is completely melted by a concentrated beam of electrons. In this paper, the effect of powder oxidation, internal porosity and crystallographic texture on the charpy impact energy of Ti6Al-4V specimen fabricated using electron beam melting and hot-isostatic pressing post processing was reviewed. It was observed that the charpy impact energy dramatically decreases in a smooth but rapid fashion due to excessive powder oxidation and has a deleterious effect due to the internal porosity present in EBM Ti-6Al-4V specimen. Crystallographic texture was also found to influence Charpy absorbed energy. However, HIP post-processing significantly increases the impact toughness for specimens in each case.
International Journal of Engineering Research & Technology (IJERT, 2019
Stereolithography (most commonly known as SLA)
is the oldest additive manufacturing process whi... more Stereolithography (most commonly known as SLA)
is the oldest additive manufacturing process which uses an
ultraviolet laser to mainly convert liquid photopolymer to solid
cross-sections. In spite of being the oldest technology it is still
the most important one as no other additive manufacturing
process addresses a wider range of applications for highly
accurate and durable prototypes of all shapes. This paper
comprises of an outline of SLA process while discussing about
the process variables and applications. Recent developments
and modern trends in the technology are also briefed in the
paper besides presenting a sketch of the mechanical properties
of the SLA processed parts.
This paper deals with machining Ti6Al4V material. The experimental analysis was carried out using... more This paper deals with machining Ti6Al4V material. The experimental analysis was carried out using Response Surface Methodology (RSM). The detailed experiments under dry conditions using the PVD coated TiAlN tools. In the present work the relationship of Ti6Al4V's surface roughness and cutting forces with critical machining parameters and conditions, based on experimental input and output data, has been derived during the turning operation. It has been found through design of experiments technique that linear model is best fitted for predicting feed force and surface roughness dry cutting environment. Linear model is also fitted for thrust force prediction during dry cutting. 2FI (2 Factor Interaction) model is found to be fitted for cutting force prediction under dry cutting environment
Journal of The Institution of Engineers (India): Series C, 2014
ABSTRACT Machinability of titanium is poor due to its low thermal conductivity and high chemical ... more ABSTRACT Machinability of titanium is poor due to its low thermal conductivity and high chemical affinity. Lower thermal conductivity of titanium alloy is undesirable on the part of cutting tool causing extensive tool wear. The main task of this work is to predict the various wear mechanisms involved during machining of Ti alloy (Ti6Al4V) and to formulate an analytical mathematical tool wear model for the same. It has been found from various experiments that adhesive and diffusion wear are the dominating wear during machining of Ti alloy with PVD coated tungsten carbide tool. It is also clear from the experiments that the tool wear increases with the increase in cutting parameters like speed, feed and depth of cut. The wear model was validated by carrying out dry machining of Ti alloy at suitable cutting conditions. It has been found that the wearmodel is able to predict the flank wear suitably under gentle cutting conditions
In comparison to other alternative energy sources, wind power is more affordable and environmenta... more In comparison to other alternative energy sources, wind power is more affordable and environmentally friendly, making it one of the most significant energy sources in the world. It is vital to monitor the condition of each wind turbine in the farm and recognize the various states of alert since difficulties with the operation as well as maintenance of wind farms considerably contribute to the rise in their overall expenses. The Supervisory Control and Data Acquisition (SCADA) data-based continuous observation of wind turbine conditions is the most widely used existing strategy to detect the fault early by preventing the wind turbine from reaching a shutdown stage. Several parameters irrelevant to the faults are saved in the SCADA system while the wind turbine is operating. To increase the efficacy of wind turbine fault diagnostics, optimally selected SCADA data parameters are required for fault prediction. Hence, this paper introduces an optimized Convolutional Neural Network (CNN)-...
Advances in Materials Engineering and Manufacturing Processes
Laminated object manufacturing (LOM) is one of the sheet lamination additive manufacturing proces... more Laminated object manufacturing (LOM) is one of the sheet lamination additive manufacturing processes used to manufacture 3D solid object with the help of sheet lamination process. A formerly developed and verified model of LOM was used to study and find out the effects of various process parameters on the temperature profile in the part during the build cycle in this process. The process parameters, i.e., roller speed, roller temperature, cutting time of laser, air temperature of the chamber and the base plate temperature, were varied independently, and their response on the LOM process is noted. This study also presents an analysis of one of the major problems occurred in LOM process, i.e., warping and an optimal combination of these process parameters to reduce this warping effect.
International journal of engineering research and technology, 2019
Electron beam melting (EBM) is an innovative additive manufacturing process in which metal powder... more Electron beam melting (EBM) is an innovative additive manufacturing process in which metal powder is completely melted by a concentrated beam of electrons. In this paper, the effect of powder oxidation, internal porosity and crystallographic texture on the charpy impact energy of Ti6Al-4V specimen fabricated using electron beam melting and hot-isostatic pressing post processing was reviewed. It was observed that the charpy impact energy dramatically decreases in a smooth but rapid fashion due to excessive powder oxidation and has a deleterious effect due to the internal porosity present in EBM Ti-6Al-4V specimen. Crystallographic texture was also found to influence Charpy absorbed energy. However, HIP post-processing significantly increases the impact toughness for specimens in each case.
International Journal of Engineering Research & Technology (IJERT, 2019
Stereolithography (most commonly known as SLA)
is the oldest additive manufacturing process whi... more Stereolithography (most commonly known as SLA)
is the oldest additive manufacturing process which uses an
ultraviolet laser to mainly convert liquid photopolymer to solid
cross-sections. In spite of being the oldest technology it is still
the most important one as no other additive manufacturing
process addresses a wider range of applications for highly
accurate and durable prototypes of all shapes. This paper
comprises of an outline of SLA process while discussing about
the process variables and applications. Recent developments
and modern trends in the technology are also briefed in the
paper besides presenting a sketch of the mechanical properties
of the SLA processed parts.
This paper deals with machining Ti6Al4V material. The experimental analysis was carried out using... more This paper deals with machining Ti6Al4V material. The experimental analysis was carried out using Response Surface Methodology (RSM). The detailed experiments under dry conditions using the PVD coated TiAlN tools. In the present work the relationship of Ti6Al4V's surface roughness and cutting forces with critical machining parameters and conditions, based on experimental input and output data, has been derived during the turning operation. It has been found through design of experiments technique that linear model is best fitted for predicting feed force and surface roughness dry cutting environment. Linear model is also fitted for thrust force prediction during dry cutting. 2FI (2 Factor Interaction) model is found to be fitted for cutting force prediction under dry cutting environment
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Papers by Andriya Narasimhulu
is the oldest additive manufacturing process which uses an
ultraviolet laser to mainly convert liquid photopolymer to solid
cross-sections. In spite of being the oldest technology it is still
the most important one as no other additive manufacturing
process addresses a wider range of applications for highly
accurate and durable prototypes of all shapes. This paper
comprises of an outline of SLA process while discussing about
the process variables and applications. Recent developments
and modern trends in the technology are also briefed in the
paper besides presenting a sketch of the mechanical properties
of the SLA processed parts.
is the oldest additive manufacturing process which uses an
ultraviolet laser to mainly convert liquid photopolymer to solid
cross-sections. In spite of being the oldest technology it is still
the most important one as no other additive manufacturing
process addresses a wider range of applications for highly
accurate and durable prototypes of all shapes. This paper
comprises of an outline of SLA process while discussing about
the process variables and applications. Recent developments
and modern trends in the technology are also briefed in the
paper besides presenting a sketch of the mechanical properties
of the SLA processed parts.