Ruma Sen - Academia.edu (original) (raw)
Papers by Ruma Sen
Materials Today: Proceedings
Materials Today: Proceedings
Materials Today: Proceedings
The surface quality of wire electric discharge machining is determined by formation of recast lay... more The surface quality of wire electric discharge machining is determined by formation of recast layer and its roughness profile. These characteristics has a great relationship with the process parameters. To attain an intense knowledge of the surface roughness and recast layers of a surface machined by WEDM on stainless steel 316, the inputs and outputs correlation has been constructed using artificial neural network model. Particle swarm optimization algorithm is used to extract the optimal set of process parameters for multi responses. Thick white layers (13–16 μm) and rough surface (3.5-4 μm) was found at high pulse on time while very thine white layer (3-5 μm) and finish surface (1.5-2 μm) can be observed at low pulse on time. © 2017 Elsevier Ltd. All rights reserved. Selection and/or Peer-review under responsibility of International Conference on Emerging Trends in Materials and Manufacturing Engineering (IMME17).
2021 Innovations in Energy Management and Renewable Resources(52042), 2021
To solve the environmental problems the choice of Renewable energy has become an important. The d... more To solve the environmental problems the choice of Renewable energy has become an important. The development in this field can improve energy efficiency and reduce greenhouse effect. this paper summarizes the renewable energy development situation, of the different country. The development trend of emerging renewable energy have been analyzed. In order to confirm that the development of renewable energy sources, it is necessary to modified energy market and also necessary to maintain the rationality of policy formulation. Proper education system and awareness on renewable energy helps the energy market in case of development. From this study it is found that a considerable experiment is going on renewable energy. This paper has established an idea about different renewable energy application, their development in different countries in the field of application and their solution.
The International Journal of Advanced Manufacturing Technology, 2020
The quality of WEDM surface is still a concern to the researcher. Due to the uneven spark, the en... more The quality of WEDM surface is still a concern to the researcher. Due to the uneven spark, the energy discharge transferred to the workpiece surface is not accurate for high-quality machining. Such energy is mainly controlled by process variables and electrode parameters. The selection of proper wire electrode and the proper combination of process variables can extend the surface quality into a much higher limit. In the present investigation, machining quality of brass wire, silver-coated brass wire, and zinc-coated brass wire is compared at different discharge energy levels. The quality of machining is measured in terms of average roughness, maximum roughness, kerf width, recast layer thickness, workpiece surface, and elemental inclusions in both wire and workpiece surface. The surface morphologies of the wire have also been investigated. The research material has been carefully chosen as one of the expensive grades of steel named maraging steel 300 due to its wide applicability in the aerospace and automobile industries. From the investigation, it has found that a minor coating of silver over plain brass significantly improves the surface quality. It has also found that, for better quality machining, discharge energy should be kept in a lower limit. Zinc coating over brass improves the strength of the wire as well as machining rate but simultaneously is responsible for the poor quality of surface. Brass wire is neither a good choice for high surface quality machining nor good for high-speed machining. The majority of copper and some zinc elements have been flush out from wire and adhered to the workpiece surface.
Bulletin of Materials Science, 2019
The work attempted to prepare a comparative machinability study of wire electrical discharge mach... more The work attempted to prepare a comparative machinability study of wire electrical discharge machining of different difficult-to-machine materials viz. stainless steel 316, H21 hot work tool steel and M42 high-speed steel. The key features, which are compared during the analysis are mainly as material removal rate, average surface roughness, kerf width, wire consumption rate, recast layer, elemental diffusion, surface morphology and microhardness of machined surface. They are found to a be greatly influenced by the pulse energy. The pulse energy is calculated in terms of 'specific discharge energy'. Apart from the discharge energy, the thermal conductivity of the material also plays an important role that affects the formation of recast layer and inclusion of foreign elements like carbon, oxygen, copper, and zinc in the recast layer. H21 steel has been found more prone to thermal defect due to its high thermal conductivity and high tensile residual stresses, whereas more resolidification of foreign materials is observed in stainless steel 316 and M42 high-speed steel due to their high adhesive property and low thermal conductivity. But, in low energy cutting, more uniform surfaces are observed in H21 steel in comparison to other two type s of steel.
Materials Today: Proceedings, 2018
Wire electric discharge machining (WEDM) is an advance manufacturing process for machining hard m... more Wire electric discharge machining (WEDM) is an advance manufacturing process for machining hard materials. The machining efficiency and productivity of WEDM not only depends on machining parameters but also improved by proper selection of electrode material. In this investigation brass wire and silver coated brass wire are selected as electrode material to evaluate the influence of wire material on WEDM machining performances. From analysis of variance, it was reveals that pulse on time, servo voltage is one of the dominant parameters. Machining with silver coated brass wire found to be best alternative of brass wire on the Maraging steel 300.
Materials Today: Proceedings, 2018
The surface quality of wire electric discharge machining is determined by formation of recast lay... more The surface quality of wire electric discharge machining is determined by formation of recast layer and its roughness profile. These characteristics has a great relationship with the process parameters. To attain an intense knowledge of the surface roughness and recast layers of a surface machined by WEDM on stainless steel 316, the inputs and outputs correlation has been constructed using artificial neural network model. Particle swarm optimization algorithm is used to extract the optimal set of process parameters for multi responses. Thick white layers (13-16 µm) and rough surface (3.5-4 µm) was found at high pulse on time while very thine white layer (3-5 µm) and finish surface (1.5-2 µm) can be observed at low pulse on time.
Materials Today: Proceedings, 2018
Wire electric discharge machining (WEDM) has become a popular machining processes for electricall... more Wire electric discharge machining (WEDM) has become a popular machining processes for electrically conductive materials. However, it suffers from few limitations such as poor surface finish and high tool cost that effects the quality and productivity of finished product. To overcome these, an attempt has been employed to model the performances of WEDM process on H21 tool steel using response surface methodology. The effect of various process parameters (pulse on time, pulse off time, current, gap voltage and wire tension) on the performance characteristics of WEDM is studied. Analysis of variance is performed to identify the significant factors. It is revealed that pulse on time is the predominant factor that influences the machining characteristics. The fuzzy logic methodology applied to solve multiple responses characteristics problem, particle swarm optimization algorithm applied to optimize and enhance the performance of WEDM process. Energy dispersive x-ray shows high amount of carbon and oxygen content on optimum cut machined surface.
Materials Today: Proceedings, 2018
Maraging steel possesses high strength and resistance to oxidation and corrosion. Machining of Ma... more Maraging steel possesses high strength and resistance to oxidation and corrosion. Machining of Maraging steel has an inherent problem with the conventional manufacturing process. The wire electrical discharge machining has been used as an alternative of conventional methods. It is controlled by various machining variables. It is essential to arrange them in a judicious manner. Neural network models are established to predict cutting speed, surface roughness and wire consumption for effective modeling. Fuzzy logic is incorporated here for converting the multi objective problem into a single objective one. Further parametric optimizations have been done based on both teaching learning based optimization and genetic algorithm technique. Confirmation tests verified that teaching learning based optimization is the more appropriate method.
International Journal of Engineering and Technology, 2016
H21 steel is one of the hot work tool steel, which exhibits superior red hardness, high mechanica... more H21 steel is one of the hot work tool steel, which exhibits superior red hardness, high mechanical strength and difficult-to-machine. Wire electrical discharge machining (WEDM) always demands high-speed and high-precision machining to fulfill productivity and accuracy of machining hard materials. Cutting speed determines the productivity of machining and the width of kerf determines the tolerance of finished product. Two methodologies viz. response surface method (RSM) and artificial neural network (ANN) are compared for their modeling, sensitivity analysis and optimization abilities. The predictability of ANN model is better than RSM which indicating the advantage of ANN in mapping the nonlinear behavior of the system. Finally, the ANN fitness function is integrated with particle swarm optimization (PSO) algorithm to optimize the process parameters of the WEDM process.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2015
Wire electric discharge machining is a non-conventional machining wherein the quality and cost of... more Wire electric discharge machining is a non-conventional machining wherein the quality and cost of machining are influenced by the process parameters. This investigation focuses on finding the optimal level of process parameters, which is for better surface finish, material removal rate and lower wire consumption for machining stainless steel-316 using the grey–fuzzy algorithm. Grey relational technique is applied to find the grey coefficient of each performance, and fuzzy evaluates the multiple performance characteristics index according to the grey relational coefficient of each response. Response surface methodology and the analysis of variance were used for modelling and analysis of responses to predict and find the influence of machining parameters and their proportion of contribution on the individual and overall responses. The measured values from confirmation experiments were compared with the predicted values, which indicate that the proposed models can be effectively used t...
Machining Science and Technology, 2020
Abstract Wire electrical discharge machining (WEDM) is always significant for its high-precision ... more Abstract Wire electrical discharge machining (WEDM) is always significant for its high-precision machining. However, due to the generation of high discharge energy during machining, machined surfaces are often got distorted. These might be upgraded by choosing the correct tool with proper machining condition. The effects of the electrode materials and process parameters on different responses of WEDM like average surface roughness, recast layer thickness, and surface morphology are systematically examined here to enhance the knowledge of WEDM and its correlation with electrode property. The experiments have been carried out on one of the expensive steel namely Maraging steel 300 due to its applicability in tooling and aerospace industries. Plain brass wire, zinc-coated brass wire (ZCB), and silver-coated brass (SCB) wires are used as a tool electrode for analysis. Comparative experimental studies prove that among BW, ZCB, and SCB, the overall performance of SCB is commendable owing to the high-quality surface considering control parameters in low discharge energy level. However, the second-best performance is shown by ZCB.
Materials Today: Proceedings
Materials Today: Proceedings
Materials Today: Proceedings
The surface quality of wire electric discharge machining is determined by formation of recast lay... more The surface quality of wire electric discharge machining is determined by formation of recast layer and its roughness profile. These characteristics has a great relationship with the process parameters. To attain an intense knowledge of the surface roughness and recast layers of a surface machined by WEDM on stainless steel 316, the inputs and outputs correlation has been constructed using artificial neural network model. Particle swarm optimization algorithm is used to extract the optimal set of process parameters for multi responses. Thick white layers (13–16 μm) and rough surface (3.5-4 μm) was found at high pulse on time while very thine white layer (3-5 μm) and finish surface (1.5-2 μm) can be observed at low pulse on time. © 2017 Elsevier Ltd. All rights reserved. Selection and/or Peer-review under responsibility of International Conference on Emerging Trends in Materials and Manufacturing Engineering (IMME17).
2021 Innovations in Energy Management and Renewable Resources(52042), 2021
To solve the environmental problems the choice of Renewable energy has become an important. The d... more To solve the environmental problems the choice of Renewable energy has become an important. The development in this field can improve energy efficiency and reduce greenhouse effect. this paper summarizes the renewable energy development situation, of the different country. The development trend of emerging renewable energy have been analyzed. In order to confirm that the development of renewable energy sources, it is necessary to modified energy market and also necessary to maintain the rationality of policy formulation. Proper education system and awareness on renewable energy helps the energy market in case of development. From this study it is found that a considerable experiment is going on renewable energy. This paper has established an idea about different renewable energy application, their development in different countries in the field of application and their solution.
The International Journal of Advanced Manufacturing Technology, 2020
The quality of WEDM surface is still a concern to the researcher. Due to the uneven spark, the en... more The quality of WEDM surface is still a concern to the researcher. Due to the uneven spark, the energy discharge transferred to the workpiece surface is not accurate for high-quality machining. Such energy is mainly controlled by process variables and electrode parameters. The selection of proper wire electrode and the proper combination of process variables can extend the surface quality into a much higher limit. In the present investigation, machining quality of brass wire, silver-coated brass wire, and zinc-coated brass wire is compared at different discharge energy levels. The quality of machining is measured in terms of average roughness, maximum roughness, kerf width, recast layer thickness, workpiece surface, and elemental inclusions in both wire and workpiece surface. The surface morphologies of the wire have also been investigated. The research material has been carefully chosen as one of the expensive grades of steel named maraging steel 300 due to its wide applicability in the aerospace and automobile industries. From the investigation, it has found that a minor coating of silver over plain brass significantly improves the surface quality. It has also found that, for better quality machining, discharge energy should be kept in a lower limit. Zinc coating over brass improves the strength of the wire as well as machining rate but simultaneously is responsible for the poor quality of surface. Brass wire is neither a good choice for high surface quality machining nor good for high-speed machining. The majority of copper and some zinc elements have been flush out from wire and adhered to the workpiece surface.
Bulletin of Materials Science, 2019
The work attempted to prepare a comparative machinability study of wire electrical discharge mach... more The work attempted to prepare a comparative machinability study of wire electrical discharge machining of different difficult-to-machine materials viz. stainless steel 316, H21 hot work tool steel and M42 high-speed steel. The key features, which are compared during the analysis are mainly as material removal rate, average surface roughness, kerf width, wire consumption rate, recast layer, elemental diffusion, surface morphology and microhardness of machined surface. They are found to a be greatly influenced by the pulse energy. The pulse energy is calculated in terms of 'specific discharge energy'. Apart from the discharge energy, the thermal conductivity of the material also plays an important role that affects the formation of recast layer and inclusion of foreign elements like carbon, oxygen, copper, and zinc in the recast layer. H21 steel has been found more prone to thermal defect due to its high thermal conductivity and high tensile residual stresses, whereas more resolidification of foreign materials is observed in stainless steel 316 and M42 high-speed steel due to their high adhesive property and low thermal conductivity. But, in low energy cutting, more uniform surfaces are observed in H21 steel in comparison to other two type s of steel.
Materials Today: Proceedings, 2018
Wire electric discharge machining (WEDM) is an advance manufacturing process for machining hard m... more Wire electric discharge machining (WEDM) is an advance manufacturing process for machining hard materials. The machining efficiency and productivity of WEDM not only depends on machining parameters but also improved by proper selection of electrode material. In this investigation brass wire and silver coated brass wire are selected as electrode material to evaluate the influence of wire material on WEDM machining performances. From analysis of variance, it was reveals that pulse on time, servo voltage is one of the dominant parameters. Machining with silver coated brass wire found to be best alternative of brass wire on the Maraging steel 300.
Materials Today: Proceedings, 2018
The surface quality of wire electric discharge machining is determined by formation of recast lay... more The surface quality of wire electric discharge machining is determined by formation of recast layer and its roughness profile. These characteristics has a great relationship with the process parameters. To attain an intense knowledge of the surface roughness and recast layers of a surface machined by WEDM on stainless steel 316, the inputs and outputs correlation has been constructed using artificial neural network model. Particle swarm optimization algorithm is used to extract the optimal set of process parameters for multi responses. Thick white layers (13-16 µm) and rough surface (3.5-4 µm) was found at high pulse on time while very thine white layer (3-5 µm) and finish surface (1.5-2 µm) can be observed at low pulse on time.
Materials Today: Proceedings, 2018
Wire electric discharge machining (WEDM) has become a popular machining processes for electricall... more Wire electric discharge machining (WEDM) has become a popular machining processes for electrically conductive materials. However, it suffers from few limitations such as poor surface finish and high tool cost that effects the quality and productivity of finished product. To overcome these, an attempt has been employed to model the performances of WEDM process on H21 tool steel using response surface methodology. The effect of various process parameters (pulse on time, pulse off time, current, gap voltage and wire tension) on the performance characteristics of WEDM is studied. Analysis of variance is performed to identify the significant factors. It is revealed that pulse on time is the predominant factor that influences the machining characteristics. The fuzzy logic methodology applied to solve multiple responses characteristics problem, particle swarm optimization algorithm applied to optimize and enhance the performance of WEDM process. Energy dispersive x-ray shows high amount of carbon and oxygen content on optimum cut machined surface.
Materials Today: Proceedings, 2018
Maraging steel possesses high strength and resistance to oxidation and corrosion. Machining of Ma... more Maraging steel possesses high strength and resistance to oxidation and corrosion. Machining of Maraging steel has an inherent problem with the conventional manufacturing process. The wire electrical discharge machining has been used as an alternative of conventional methods. It is controlled by various machining variables. It is essential to arrange them in a judicious manner. Neural network models are established to predict cutting speed, surface roughness and wire consumption for effective modeling. Fuzzy logic is incorporated here for converting the multi objective problem into a single objective one. Further parametric optimizations have been done based on both teaching learning based optimization and genetic algorithm technique. Confirmation tests verified that teaching learning based optimization is the more appropriate method.
International Journal of Engineering and Technology, 2016
H21 steel is one of the hot work tool steel, which exhibits superior red hardness, high mechanica... more H21 steel is one of the hot work tool steel, which exhibits superior red hardness, high mechanical strength and difficult-to-machine. Wire electrical discharge machining (WEDM) always demands high-speed and high-precision machining to fulfill productivity and accuracy of machining hard materials. Cutting speed determines the productivity of machining and the width of kerf determines the tolerance of finished product. Two methodologies viz. response surface method (RSM) and artificial neural network (ANN) are compared for their modeling, sensitivity analysis and optimization abilities. The predictability of ANN model is better than RSM which indicating the advantage of ANN in mapping the nonlinear behavior of the system. Finally, the ANN fitness function is integrated with particle swarm optimization (PSO) algorithm to optimize the process parameters of the WEDM process.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2015
Wire electric discharge machining is a non-conventional machining wherein the quality and cost of... more Wire electric discharge machining is a non-conventional machining wherein the quality and cost of machining are influenced by the process parameters. This investigation focuses on finding the optimal level of process parameters, which is for better surface finish, material removal rate and lower wire consumption for machining stainless steel-316 using the grey–fuzzy algorithm. Grey relational technique is applied to find the grey coefficient of each performance, and fuzzy evaluates the multiple performance characteristics index according to the grey relational coefficient of each response. Response surface methodology and the analysis of variance were used for modelling and analysis of responses to predict and find the influence of machining parameters and their proportion of contribution on the individual and overall responses. The measured values from confirmation experiments were compared with the predicted values, which indicate that the proposed models can be effectively used t...
Machining Science and Technology, 2020
Abstract Wire electrical discharge machining (WEDM) is always significant for its high-precision ... more Abstract Wire electrical discharge machining (WEDM) is always significant for its high-precision machining. However, due to the generation of high discharge energy during machining, machined surfaces are often got distorted. These might be upgraded by choosing the correct tool with proper machining condition. The effects of the electrode materials and process parameters on different responses of WEDM like average surface roughness, recast layer thickness, and surface morphology are systematically examined here to enhance the knowledge of WEDM and its correlation with electrode property. The experiments have been carried out on one of the expensive steel namely Maraging steel 300 due to its applicability in tooling and aerospace industries. Plain brass wire, zinc-coated brass wire (ZCB), and silver-coated brass (SCB) wires are used as a tool electrode for analysis. Comparative experimental studies prove that among BW, ZCB, and SCB, the overall performance of SCB is commendable owing to the high-quality surface considering control parameters in low discharge energy level. However, the second-best performance is shown by ZCB.