This document summarizes research on machining borosilicate glass with electrochemical discharge machining (ECDM) using different abrasives. ECDM is a hybrid machining process that can machine advanced materials with good surface quality. The study analyzes the effect of electrolyte type and concentration, as well as abrasive type, on material removal rate and surface roughness when machining borosilicate glass with ECDM. The objective is to determine machining parameters that produce the maximum material removal rate and minimum surface roughness.
This document provides an overview of machining non-conducting materials using electrochemical discharge phenomena, known as spark assisted chemical engraving (SACE). SACE allows machining of materials like glass and ceramics. It involves applying a voltage between a tool electrode and counter electrode in an electrolyte solution, causing electrochemical discharges that erode the workpiece material. While studied since the 1960s, SACE has not been widely applied industrially. The document reviews the state of knowledge on SACE and discusses challenges that have limited its use, such as inconsistent machining results due to the complex interactions between process parameters.
Edm drilling of non conducting materials in deionised waterVaralakshmi Kothuru
The document discusses electrical discharge machining (EDM) of non-conductive materials like ceramics in deionized water. Typically, EDM requires a conductive layer on the workpiece, but this layer is difficult to regenerate in water. The study shows that a new conductive layer can be deposited on zirconium dioxide ceramic from the tool electrode during EDM in water. Process parameters are developed that balance material removal with regeneration of this assisting layer. Blind holes up to 1.5 mm deep are successfully drilled in ceramic, demonstrating the feasibility of the approach. Further improvements could enable industrial drilling of cooling holes in ceramic-coated turbine blades using this method.
Experimental Investigation of Process Parameters on Inconel 925 for EDM Proce...Vishal Kumar Jaiswal
Experimental Investigation of Process Parameters on Inconel 925 for EDM Process by using Taguchi Method
Research Paper Published by:
Vishal Kumar Jaiswal
M.Tech (Production and Industrial Engineering)
Paper Source:
http://www.ijsrd.com/articles/IJSRDV6I50198.pdf
http://ijsrd.com/Article.php?manuscript=IJSRDV6I50198
This document provides a review of research on electrical discharge machining (EDM) of non-conductive ceramic materials. It discusses how ceramics can be made electrically conductive through doping with conductive materials like titanium carbide. It then summarizes several studies that investigated EDM of doped ceramics and the effects of process parameters on material removal rate and surface finish. It also describes an "assisting electrode method" where a conductive layer forms on the ceramic surface during EDM, allowing discharges and machining to occur even for insulating materials. The document aims to demonstrate the feasibility of EDM for machining ceramics and potential applications of this innovative processing technique.
1) A novel technique called double electrodes synchronous servo electrical discharge grinding (DESSEDG) is presented to machine non-conductive engineering ceramics with high efficiency and precision by integrating advantages of electrical discharge machining (EDM) and mechanical grinding.
2) In the DESSEDG process, a conductive grinding wheel rotates on the workpiece surface while a thin copper sheet electrode is automatically fed to the area where the wheel and workpiece meet, causing electrical discharges that erode the workpiece surface.
3) The eroded layer is then removed by the grinding wheel, combining the material removal of EDM with mechanical grinding for higher efficiency machining of hard non-conductive ceramics compared
This document summarizes research on using powder mixed dielectrics in electrical discharge machining (PMEDM). It first reviews the basic material removal mechanism in EDM and important process parameters. It then discusses various dielectric categories used in EDM, including hydrocarbon oils, deionized water, and their advantages/disadvantages. The main body of the document provides a detailed review of using powder mixed with dielectric in PMEDM, focusing on how powder affects spark characteristics and machining performance based on powder material, size, and concentration. It concludes with a discussion of research trends, gaps, and challenges in industrializing PMEDM technology.
This document provides a dissertation on investigating the machining characteristics of titanium alloy (Ti-6Al-4V) using the electrical discharge machining (EDM) process. The dissertation includes an introduction to traditional and non-traditional machining processes. It then focuses on EDM, including the history, types, principles, parameters, materials, advantages, and limitations. The methodology section describes the materials, equipment, experimental design using Taguchi methods, and parameters/levels studied. Results and discussions are presented on material removal rate, tool wear rate, surface roughness, and microhardness based on experiments. Finally, conclusions are drawn and scope for future work is discussed.
The document discusses electrochemical machining of stainless steel SS 202. It investigates how the material removal rate is affected by three factors in the electrochemical machining process: 1) the power supply, 2) the distance between the anode and cathode, and 3) the depth of immersion. Experiments were conducted where the voltage, immersion depth, and electrode distance were varied while measuring the resulting material removal rate. The results showed that the material removal rate decreased with increasing immersion depth but increased with increasing electrode distance and voltage.
This document provides an overview of machining non-conducting materials using electrochemical discharge phenomena, known as spark assisted chemical engraving (SACE). SACE allows machining of materials like glass and ceramics. It involves applying a voltage between a tool electrode and counter electrode in an electrolyte solution, causing electrochemical discharges that erode the workpiece material. While studied since the 1960s, SACE has not been widely applied industrially. The document reviews the state of knowledge on SACE and discusses challenges that have limited its use, such as inconsistent machining results due to the complex interactions between process parameters.
Edm drilling of non conducting materials in deionised waterVaralakshmi Kothuru
The document discusses electrical discharge machining (EDM) of non-conductive materials like ceramics in deionized water. Typically, EDM requires a conductive layer on the workpiece, but this layer is difficult to regenerate in water. The study shows that a new conductive layer can be deposited on zirconium dioxide ceramic from the tool electrode during EDM in water. Process parameters are developed that balance material removal with regeneration of this assisting layer. Blind holes up to 1.5 mm deep are successfully drilled in ceramic, demonstrating the feasibility of the approach. Further improvements could enable industrial drilling of cooling holes in ceramic-coated turbine blades using this method.
Experimental Investigation of Process Parameters on Inconel 925 for EDM Proce...Vishal Kumar Jaiswal
Experimental Investigation of Process Parameters on Inconel 925 for EDM Process by using Taguchi Method
Research Paper Published by:
Vishal Kumar Jaiswal
M.Tech (Production and Industrial Engineering)
Paper Source:
http://www.ijsrd.com/articles/IJSRDV6I50198.pdf
http://ijsrd.com/Article.php?manuscript=IJSRDV6I50198
This document provides a review of research on electrical discharge machining (EDM) of non-conductive ceramic materials. It discusses how ceramics can be made electrically conductive through doping with conductive materials like titanium carbide. It then summarizes several studies that investigated EDM of doped ceramics and the effects of process parameters on material removal rate and surface finish. It also describes an "assisting electrode method" where a conductive layer forms on the ceramic surface during EDM, allowing discharges and machining to occur even for insulating materials. The document aims to demonstrate the feasibility of EDM for machining ceramics and potential applications of this innovative processing technique.
1) A novel technique called double electrodes synchronous servo electrical discharge grinding (DESSEDG) is presented to machine non-conductive engineering ceramics with high efficiency and precision by integrating advantages of electrical discharge machining (EDM) and mechanical grinding.
2) In the DESSEDG process, a conductive grinding wheel rotates on the workpiece surface while a thin copper sheet electrode is automatically fed to the area where the wheel and workpiece meet, causing electrical discharges that erode the workpiece surface.
3) The eroded layer is then removed by the grinding wheel, combining the material removal of EDM with mechanical grinding for higher efficiency machining of hard non-conductive ceramics compared
This document summarizes research on using powder mixed dielectrics in electrical discharge machining (PMEDM). It first reviews the basic material removal mechanism in EDM and important process parameters. It then discusses various dielectric categories used in EDM, including hydrocarbon oils, deionized water, and their advantages/disadvantages. The main body of the document provides a detailed review of using powder mixed with dielectric in PMEDM, focusing on how powder affects spark characteristics and machining performance based on powder material, size, and concentration. It concludes with a discussion of research trends, gaps, and challenges in industrializing PMEDM technology.
This document provides a dissertation on investigating the machining characteristics of titanium alloy (Ti-6Al-4V) using the electrical discharge machining (EDM) process. The dissertation includes an introduction to traditional and non-traditional machining processes. It then focuses on EDM, including the history, types, principles, parameters, materials, advantages, and limitations. The methodology section describes the materials, equipment, experimental design using Taguchi methods, and parameters/levels studied. Results and discussions are presented on material removal rate, tool wear rate, surface roughness, and microhardness based on experiments. Finally, conclusions are drawn and scope for future work is discussed.
The document discusses electrochemical machining of stainless steel SS 202. It investigates how the material removal rate is affected by three factors in the electrochemical machining process: 1) the power supply, 2) the distance between the anode and cathode, and 3) the depth of immersion. Experiments were conducted where the voltage, immersion depth, and electrode distance were varied while measuring the resulting material removal rate. The results showed that the material removal rate decreased with increasing immersion depth but increased with increasing electrode distance and voltage.
PARAMETRIC OPTIMIZATION OF ELECTROCHEMICAL MACHININGAnmol Mangat
1. The document discusses parametric optimization of electrochemical machining (ECM). ECM is a non-traditional machining process that removes metal through reverse electroplating. It can machine hard metals and complex geometries.
2. The author designs and fabricates an ECM machine to surface finish cylindrical workpieces. Experiments are conducted to analyze the effect of voltage, time, and revolutions per minute on surface finish improvement percentage.
3. A relationship between process parameters and output characteristics is developed using a design of experiment approach to optimize the ECM process for improving surface finish.
IRJET- A Review Study of Thermal Electrical Model using ANSYS SoftwareIRJET Journal
This document summarizes a research study that used ANSYS software to design a thermal-electrical model for sparks generated during electrical discharge machining (EDM) and determine temperature distribution. The study aimed to model the EDM process, predict maximum temperature, and estimate material removal rate from the workpiece. Experiments were conducted using different pulse on-times and currents on an EN-19 workpiece. Results showed that material removal rate increased with higher current and pulse on-time, and was in agreement with finite element analysis results. The temperature distribution curve was also able to estimate the maximum material removal rate.
Experimental Study Using Different Tools/Electrodes E.G. Copper, Graphite on...IJMER
This document presents research on comparing the performance of copper and graphite electrodes in an electrical discharge machining (EDM) process. Experiments were conducted to determine the effect of process parameters like current, impulse duration, and spark gap on the material removal rate (MRR) of mild steel. Regression analysis was used to develop a model relating the process parameters to MRR. The results showed that at lower parameter levels, graphite electrodes produced a higher MRR. However, as the parameter levels increased, copper electrodes provided a higher MRR. It was concluded that graphite electrodes are best for lower parameter levels and finishing work due to lower MRR, while copper electrodes are suitable for high material removal processes with less emphasis on surface finish
The document is a dissertation submitted by Gangadharudu Talla to the National Institute of Technology Rourkela in partial fulfillment of the requirements for a Doctor of Philosophy degree in Mechanical Engineering. The dissertation investigates the powder-mixed electric discharge machining (PMEDM) of Inconel 625, a nickel-based super alloy. Numerical modeling is used to predict the temperature distribution, material removal rate, and residual stress during the PMEDM process. Experiments are then conducted to study the effects of powder materials (graphite, aluminum, and silicon) and machining parameters on material removal rate, surface integrity, and other response variables. Results are analyzed to determine the optimal powder material and process parameters
This document summarizes several hybrid electric discharge machining (H-EDM) processes. It discusses electro discharge grinding (EDG), electrodischarge diamond grinding (EDDG), electrochemical discharge grinding (ECDG), and ultrasonic vibration electrical discharge machining (UEDM). EDG combines EDM with grinding to improve surface roughness. EDDG uses a grinding wheel with abrasives to increase material removal rate and reduce wheel wear. ECDG combines EDM with electrochemical machining to grind brittle materials. UEDM uses ultrasonic vibration of the electrode to pump dielectric fluid and debris, improving machining of deep holes.
Study of effects of heat treatment on the hardness and microstructure of weld...Alexander Decker
This study investigated the effects of annealing heat treatment on the microstructure and mechanical properties of welded low-carbon steel pipes with 0.078% carbon content. Welding was performed on steel pipe samples, followed by heat treating one of the samples at 850°C for 2 hours. Hardness tests and microstructural analysis were conducted on the heat treated and untreated samples. The results showed that the heat treated sample had a lower hardness and a more predominant pearlite structure compared to the untreated sample. This resulted in improved ductility and toughness for the heat treated sample due to carbon diffusion and grain refinement during annealing. Therefore, annealing heat treatment is recommended after welding low-carbon steel to obtain higher ductility properties.
The document summarizes an experimental study on the effect of composite electrodes on die steel using electric discharge machining (EDM). The study aims to fabricate composite electrodes using powder metallurgy and compare their performance to copper electrodes in machining die steels. Key parameters to be analyzed include material removal rate, microhardness, and electrode wear rate. Sintered copper-tin and copper electrodes were prepared and their surfaces characterized using SEM and EDS. The results of the study will help improve the efficiency of the EDM process using composite electrodes.
This document provides a review of research on wire electric discharge machining (WEDM). It begins with an abstract that describes WEDM as a process that uses a continuously traveling wire electrode to produce complex shapes in electrically conductive materials by generating sparks between the wire and workpiece. The document then reviews research on WEDM, including studies optimizing process parameters to improve machining performance and productivity and reduce wire breakage. It also discusses the basic principles and cutting process of WEDM, noting that the exact sparking phenomena remains disputed, and lists common wire materials and their applications.
Latest Research Trend of optimization Techniques in Electric Discharge Machin...sushil Choudhary
This document discusses optimization techniques used in electric discharge machining (EDM). EDM is a non-traditional machining process that uses electrical discharges to erode conductive materials. Key parameters that affect the EDM process include pulse on/off time, voltage, current, discharge energy, electrode polarity, and dielectric fluid. Optimization techniques aim to maximize material removal rate and tool wear ratio while minimizing surface roughness. The document reviews techniques like Taguchi methods, response surface methodology, genetic algorithms, neural networks, and grey relational analysis that have been used to optimize EDM for objectives like material removal rate, surface finish, and tool wear ratio.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document reviews the microstructure, mechanical properties, and corrosion behavior of duplex 2209 steel used in electro-slag strip cladding on a low-carbon steel substrate. The authors aim to deposit layers of stainless steel 309 and duplex 2209 using electro-slag strip cladding to develop a protective multilayer coating. Characterization of the coating microstructure will be done using SEM/EDS and mechanical properties will be evaluated through microhardness testing and residual stress analysis with XRD. Corrosion behavior will also be examined according to ASTM standards.
This document summarizes a seminar presentation on optimizing the wire electrical discharge machining (WEDM) process for machining Inconel alloy 800HT. The presentation discusses using Taguchi-Grey relation analysis to optimize the WEDM process parameters when using Victrol 4003 mixed electric discharge machining. The objectives are to maximize material removal rate and minimize surface roughness. The methodology involves designing experiments using Taguchi methods, measuring responses, and analyzing the data using Grey relation analysis. The expected outcomes include determining optimal process parameters and analyzing surface integrity after machining.
A Review on optimization of Dry Electro Discharge Machining Process Parametersijsrd.com
This document reviews optimization of dry electric discharge machining (EDM) process parameters. It discusses how dry EDM replaces liquid dielectric with gas, improving environmental friendliness. The literature review examines studies on how factors like voltage, current, and gas pressure affect material removal rate, surface roughness, and tool wear rate. Response surface methodology and algorithms like NSGA-II and genetic algorithms have been used to develop models and optimize the conflicting objectives of maximizing material removal rate while minimizing surface roughness. Overall, the document provides an overview of dry EDM optimization research aimed at improving process performance and efficiency.
Optimization of Process Parameters in Wire Electrical Discharge Machining of ...IJERA Editor
Wire electrical discharge machining (WEDM) is a specialized thermal machining process capable of accurately machining parts with varying hardness or complex shapes, which have sharp edges that are very difficult to be machined by the main stream machining processes. This practical technology of the WEDM process is based on the conventional EDM sparking phenomenon utilizing the widely accepted non-contact technique of material removal. Since the introduction of the process, WEDM has evolved from a simple means of making tools and dies to the best alternative of producing micro-scale parts with the highest degree of dimensional accuracy and surface finish quality. Metal matrix composites are advanced materials having high specific strength, good wear resistance, and high thermal expansion coefficient. To achieve this task, machining parameters such as pulse on time, pulse off time, peak current, servo voltage, wire feed, wire tension etc. of this process should be selected such that optimal value of their performance measures like Material Removal Rate (MRR), Surface Roughness (SR), Gap current, Dimensional deviation, etc. can be obtained or improved. In past decades, intensive research work had been carried out by different researchers for improvement and optimization of WEDM performance measures using various optimization techniques like Taguchi, Response Surface Methodology (RSM), Artificial Neural Network (ANN), Genetic Algorithm (GA), etc. This paper also highlights the feasibility of the different control strategies of obtaining the optimal machining conditions. This literature review helps to identify the suitable process parameters and their ranges in machining of metal matrix composites.
IRJET- Investigation on EDM of SS316 using Copper and Brass Electrode for...IRJET Journal
This document discusses an investigation into electrical discharge machining (EDM) of stainless steel 316 using copper and brass electrodes. The goal is to improve material removal rate and tool wear rate. Experiments are conducted using different input parameters like pulse on time, current, polarity, and dielectric pressure. Output parameters like material removal rate, tool wear rate, and surface roughness are measured. A Taguchi experimental design using an L18 orthogonal array is used to analyze the effects of input parameters on the output responses. The results aim to optimize the EDM process for machining stainless steel 316.
Material Removal Rate, Tool Wear Rate and Surface Roughness Analysis of EDM P...ijsrd.com
Electrical discharge machining (EDM) is one of the non-traditional machining processes, based on thermo electric energy between the work piece and an electrode. In this process, the material removal is occurred electro thermally by a series of successive discrete discharges between electrode and the work piece. The parametric analysis of the EDM process by using different electrode materials has been carried out. The Material Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (SR) is measured and recorded for detailed analysis. Different electrode
The document summarizes a presentation on developing composite anode materials of yttria-stabilized zirconia (YSZ), zinc-doped ceria (CZO), and nickel-nickel oxide (Ni:NiO) for intermediate-temperature solid oxide fuel cells. Nanoparticles of YSZ, CZO, and Ni:NiO were synthesized using a sol-gel method and characterized. Composites with varying volume ratios of the components were fabricated by ball milling. Characterization showed the intended crystal structures were obtained. Future work proposed testing the materials' electrochemical and mechanical properties to evaluate their suitability as low-temperature fuel cell anodes.
Anaysis of Material Removal Rate of AISI 304 SS In EDM Processijsrd.com
EDM has become an important and cost-effective method of machining extremely tough and brittle electrically conductive materials. It is widely used in the process of making moulds and dies and sections of complex geometry and intricate shapes. The work piece material selected in this experiment is AISI 304 Stainless steel taking into account its wide usage in industrial applications. In today’s world 304 stainless steel contributes to almost half of the world’s production and consumption for industrial purposes. The input variable parameters are current, pulse on time and duty cycle. Taguchi method is applied to create an L27 orthogonal array of input variables using the Design of Experiments (DOE). The effect of the variable parameters mentioned above upon machining characteristics such as Material Removal Rate (MRR), Surface Roughness (SR) and Overcut (OC) is studied and investigated. The tool material is copper. The results obtained showed that current was the most significant parameter followed by pulse on time and the least significant was the duty cycle for the entire three responses namely Material removal rate, Surface roughness and overcut. With the increase in current and duty cycle MRR increased but for pulse on time it increased only up to 100 µs and then started to decrease. SR increased significantly with the increase in current; for pulse on time it increased up to 100 µs and after that there was no significant increase; and in case of duty cycle SR increased up to 70% and then started to decrease. OC increased with the increase in current and pulse on time but in different fashion and in case of duty cycle, OC increased up to 70% and then started decreasing.
This document discusses hybrid electrochemical machining processes that combine electrochemical dissolution with mechanical or thermal processes to improve material removal rates and surface finish. Specifically, it describes electrochemical grinding, which uses an abrasive grinding wheel to mechanically assist electrochemical dissolution; electrochemical honing, which combines honing stones with electrochemical dissolution; and electrochemical super finishing, laser-assisted electrochemical machining, ultrasonic-assisted electrochemical machining, and electrochemical buffing, all of which add other processes to further enhance electrochemical dissolution and finishing of metal parts. The hybrid processes are able to more efficiently machine difficult materials like alloys while achieving high-quality surfaces.
This document summarizes a study on the influence of electrochemical machining (ECM) process parameters on material removal rate (MRR) and surface roughness when machining stainless steel SS 304. Experiments were conducted using a Taguchi design of experiments approach to determine the effects of time, voltage, current, electrolyte concentration, feed rate, and pressure. Results showed that MRR increased with increasing voltage, electrolyte concentration, time, and feed rate, but irregularly increased with high currents. Surface roughness decreased with increasing current, and time was the most influential parameter on surface finish. The experimental setup and ECM process characteristics are also described.
This document provides an overview of electrochemical discharge machining (ECDM). ECDM is a hybrid machining process that combines electrochemical machining (ECM) and electric discharge machining (EDM). It allows for machining of conductive and non-conductive materials. The document discusses the principles of ECDM, including the formation of a gas film and electrochemical discharges. It also reviews literature on modeling and applications of ECDM, such as microfabrication. ECDM shows potential for precision machining of hard and brittle materials like ceramics.
electrochemical discharge machining.
also known as electrochemical spark machining.
we covert normal drilling machine in electrochemical spark machining and perform drilling operation on the work piece and create a macrohole in a quartz glass. the results are shown in the ppt.
we created this project under the head of department of mechanical engineering ER. Rakesh sigh sir and ER.mudit tyagi sir from mtech department from noida institute of engineering and technology, greater noida.
PARAMETRIC OPTIMIZATION OF ELECTROCHEMICAL MACHININGAnmol Mangat
1. The document discusses parametric optimization of electrochemical machining (ECM). ECM is a non-traditional machining process that removes metal through reverse electroplating. It can machine hard metals and complex geometries.
2. The author designs and fabricates an ECM machine to surface finish cylindrical workpieces. Experiments are conducted to analyze the effect of voltage, time, and revolutions per minute on surface finish improvement percentage.
3. A relationship between process parameters and output characteristics is developed using a design of experiment approach to optimize the ECM process for improving surface finish.
IRJET- A Review Study of Thermal Electrical Model using ANSYS SoftwareIRJET Journal
This document summarizes a research study that used ANSYS software to design a thermal-electrical model for sparks generated during electrical discharge machining (EDM) and determine temperature distribution. The study aimed to model the EDM process, predict maximum temperature, and estimate material removal rate from the workpiece. Experiments were conducted using different pulse on-times and currents on an EN-19 workpiece. Results showed that material removal rate increased with higher current and pulse on-time, and was in agreement with finite element analysis results. The temperature distribution curve was also able to estimate the maximum material removal rate.
Experimental Study Using Different Tools/Electrodes E.G. Copper, Graphite on...IJMER
This document presents research on comparing the performance of copper and graphite electrodes in an electrical discharge machining (EDM) process. Experiments were conducted to determine the effect of process parameters like current, impulse duration, and spark gap on the material removal rate (MRR) of mild steel. Regression analysis was used to develop a model relating the process parameters to MRR. The results showed that at lower parameter levels, graphite electrodes produced a higher MRR. However, as the parameter levels increased, copper electrodes provided a higher MRR. It was concluded that graphite electrodes are best for lower parameter levels and finishing work due to lower MRR, while copper electrodes are suitable for high material removal processes with less emphasis on surface finish
The document is a dissertation submitted by Gangadharudu Talla to the National Institute of Technology Rourkela in partial fulfillment of the requirements for a Doctor of Philosophy degree in Mechanical Engineering. The dissertation investigates the powder-mixed electric discharge machining (PMEDM) of Inconel 625, a nickel-based super alloy. Numerical modeling is used to predict the temperature distribution, material removal rate, and residual stress during the PMEDM process. Experiments are then conducted to study the effects of powder materials (graphite, aluminum, and silicon) and machining parameters on material removal rate, surface integrity, and other response variables. Results are analyzed to determine the optimal powder material and process parameters
This document summarizes several hybrid electric discharge machining (H-EDM) processes. It discusses electro discharge grinding (EDG), electrodischarge diamond grinding (EDDG), electrochemical discharge grinding (ECDG), and ultrasonic vibration electrical discharge machining (UEDM). EDG combines EDM with grinding to improve surface roughness. EDDG uses a grinding wheel with abrasives to increase material removal rate and reduce wheel wear. ECDG combines EDM with electrochemical machining to grind brittle materials. UEDM uses ultrasonic vibration of the electrode to pump dielectric fluid and debris, improving machining of deep holes.
Study of effects of heat treatment on the hardness and microstructure of weld...Alexander Decker
This study investigated the effects of annealing heat treatment on the microstructure and mechanical properties of welded low-carbon steel pipes with 0.078% carbon content. Welding was performed on steel pipe samples, followed by heat treating one of the samples at 850°C for 2 hours. Hardness tests and microstructural analysis were conducted on the heat treated and untreated samples. The results showed that the heat treated sample had a lower hardness and a more predominant pearlite structure compared to the untreated sample. This resulted in improved ductility and toughness for the heat treated sample due to carbon diffusion and grain refinement during annealing. Therefore, annealing heat treatment is recommended after welding low-carbon steel to obtain higher ductility properties.
The document summarizes an experimental study on the effect of composite electrodes on die steel using electric discharge machining (EDM). The study aims to fabricate composite electrodes using powder metallurgy and compare their performance to copper electrodes in machining die steels. Key parameters to be analyzed include material removal rate, microhardness, and electrode wear rate. Sintered copper-tin and copper electrodes were prepared and their surfaces characterized using SEM and EDS. The results of the study will help improve the efficiency of the EDM process using composite electrodes.
This document provides a review of research on wire electric discharge machining (WEDM). It begins with an abstract that describes WEDM as a process that uses a continuously traveling wire electrode to produce complex shapes in electrically conductive materials by generating sparks between the wire and workpiece. The document then reviews research on WEDM, including studies optimizing process parameters to improve machining performance and productivity and reduce wire breakage. It also discusses the basic principles and cutting process of WEDM, noting that the exact sparking phenomena remains disputed, and lists common wire materials and their applications.
Latest Research Trend of optimization Techniques in Electric Discharge Machin...sushil Choudhary
This document discusses optimization techniques used in electric discharge machining (EDM). EDM is a non-traditional machining process that uses electrical discharges to erode conductive materials. Key parameters that affect the EDM process include pulse on/off time, voltage, current, discharge energy, electrode polarity, and dielectric fluid. Optimization techniques aim to maximize material removal rate and tool wear ratio while minimizing surface roughness. The document reviews techniques like Taguchi methods, response surface methodology, genetic algorithms, neural networks, and grey relational analysis that have been used to optimize EDM for objectives like material removal rate, surface finish, and tool wear ratio.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document reviews the microstructure, mechanical properties, and corrosion behavior of duplex 2209 steel used in electro-slag strip cladding on a low-carbon steel substrate. The authors aim to deposit layers of stainless steel 309 and duplex 2209 using electro-slag strip cladding to develop a protective multilayer coating. Characterization of the coating microstructure will be done using SEM/EDS and mechanical properties will be evaluated through microhardness testing and residual stress analysis with XRD. Corrosion behavior will also be examined according to ASTM standards.
This document summarizes a seminar presentation on optimizing the wire electrical discharge machining (WEDM) process for machining Inconel alloy 800HT. The presentation discusses using Taguchi-Grey relation analysis to optimize the WEDM process parameters when using Victrol 4003 mixed electric discharge machining. The objectives are to maximize material removal rate and minimize surface roughness. The methodology involves designing experiments using Taguchi methods, measuring responses, and analyzing the data using Grey relation analysis. The expected outcomes include determining optimal process parameters and analyzing surface integrity after machining.
A Review on optimization of Dry Electro Discharge Machining Process Parametersijsrd.com
This document reviews optimization of dry electric discharge machining (EDM) process parameters. It discusses how dry EDM replaces liquid dielectric with gas, improving environmental friendliness. The literature review examines studies on how factors like voltage, current, and gas pressure affect material removal rate, surface roughness, and tool wear rate. Response surface methodology and algorithms like NSGA-II and genetic algorithms have been used to develop models and optimize the conflicting objectives of maximizing material removal rate while minimizing surface roughness. Overall, the document provides an overview of dry EDM optimization research aimed at improving process performance and efficiency.
Optimization of Process Parameters in Wire Electrical Discharge Machining of ...IJERA Editor
Wire electrical discharge machining (WEDM) is a specialized thermal machining process capable of accurately machining parts with varying hardness or complex shapes, which have sharp edges that are very difficult to be machined by the main stream machining processes. This practical technology of the WEDM process is based on the conventional EDM sparking phenomenon utilizing the widely accepted non-contact technique of material removal. Since the introduction of the process, WEDM has evolved from a simple means of making tools and dies to the best alternative of producing micro-scale parts with the highest degree of dimensional accuracy and surface finish quality. Metal matrix composites are advanced materials having high specific strength, good wear resistance, and high thermal expansion coefficient. To achieve this task, machining parameters such as pulse on time, pulse off time, peak current, servo voltage, wire feed, wire tension etc. of this process should be selected such that optimal value of their performance measures like Material Removal Rate (MRR), Surface Roughness (SR), Gap current, Dimensional deviation, etc. can be obtained or improved. In past decades, intensive research work had been carried out by different researchers for improvement and optimization of WEDM performance measures using various optimization techniques like Taguchi, Response Surface Methodology (RSM), Artificial Neural Network (ANN), Genetic Algorithm (GA), etc. This paper also highlights the feasibility of the different control strategies of obtaining the optimal machining conditions. This literature review helps to identify the suitable process parameters and their ranges in machining of metal matrix composites.
IRJET- Investigation on EDM of SS316 using Copper and Brass Electrode for...IRJET Journal
This document discusses an investigation into electrical discharge machining (EDM) of stainless steel 316 using copper and brass electrodes. The goal is to improve material removal rate and tool wear rate. Experiments are conducted using different input parameters like pulse on time, current, polarity, and dielectric pressure. Output parameters like material removal rate, tool wear rate, and surface roughness are measured. A Taguchi experimental design using an L18 orthogonal array is used to analyze the effects of input parameters on the output responses. The results aim to optimize the EDM process for machining stainless steel 316.
Material Removal Rate, Tool Wear Rate and Surface Roughness Analysis of EDM P...ijsrd.com
Electrical discharge machining (EDM) is one of the non-traditional machining processes, based on thermo electric energy between the work piece and an electrode. In this process, the material removal is occurred electro thermally by a series of successive discrete discharges between electrode and the work piece. The parametric analysis of the EDM process by using different electrode materials has been carried out. The Material Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (SR) is measured and recorded for detailed analysis. Different electrode
The document summarizes a presentation on developing composite anode materials of yttria-stabilized zirconia (YSZ), zinc-doped ceria (CZO), and nickel-nickel oxide (Ni:NiO) for intermediate-temperature solid oxide fuel cells. Nanoparticles of YSZ, CZO, and Ni:NiO were synthesized using a sol-gel method and characterized. Composites with varying volume ratios of the components were fabricated by ball milling. Characterization showed the intended crystal structures were obtained. Future work proposed testing the materials' electrochemical and mechanical properties to evaluate their suitability as low-temperature fuel cell anodes.
Anaysis of Material Removal Rate of AISI 304 SS In EDM Processijsrd.com
EDM has become an important and cost-effective method of machining extremely tough and brittle electrically conductive materials. It is widely used in the process of making moulds and dies and sections of complex geometry and intricate shapes. The work piece material selected in this experiment is AISI 304 Stainless steel taking into account its wide usage in industrial applications. In today’s world 304 stainless steel contributes to almost half of the world’s production and consumption for industrial purposes. The input variable parameters are current, pulse on time and duty cycle. Taguchi method is applied to create an L27 orthogonal array of input variables using the Design of Experiments (DOE). The effect of the variable parameters mentioned above upon machining characteristics such as Material Removal Rate (MRR), Surface Roughness (SR) and Overcut (OC) is studied and investigated. The tool material is copper. The results obtained showed that current was the most significant parameter followed by pulse on time and the least significant was the duty cycle for the entire three responses namely Material removal rate, Surface roughness and overcut. With the increase in current and duty cycle MRR increased but for pulse on time it increased only up to 100 µs and then started to decrease. SR increased significantly with the increase in current; for pulse on time it increased up to 100 µs and after that there was no significant increase; and in case of duty cycle SR increased up to 70% and then started to decrease. OC increased with the increase in current and pulse on time but in different fashion and in case of duty cycle, OC increased up to 70% and then started decreasing.
This document discusses hybrid electrochemical machining processes that combine electrochemical dissolution with mechanical or thermal processes to improve material removal rates and surface finish. Specifically, it describes electrochemical grinding, which uses an abrasive grinding wheel to mechanically assist electrochemical dissolution; electrochemical honing, which combines honing stones with electrochemical dissolution; and electrochemical super finishing, laser-assisted electrochemical machining, ultrasonic-assisted electrochemical machining, and electrochemical buffing, all of which add other processes to further enhance electrochemical dissolution and finishing of metal parts. The hybrid processes are able to more efficiently machine difficult materials like alloys while achieving high-quality surfaces.
This document summarizes a study on the influence of electrochemical machining (ECM) process parameters on material removal rate (MRR) and surface roughness when machining stainless steel SS 304. Experiments were conducted using a Taguchi design of experiments approach to determine the effects of time, voltage, current, electrolyte concentration, feed rate, and pressure. Results showed that MRR increased with increasing voltage, electrolyte concentration, time, and feed rate, but irregularly increased with high currents. Surface roughness decreased with increasing current, and time was the most influential parameter on surface finish. The experimental setup and ECM process characteristics are also described.
This document provides an overview of electrochemical discharge machining (ECDM). ECDM is a hybrid machining process that combines electrochemical machining (ECM) and electric discharge machining (EDM). It allows for machining of conductive and non-conductive materials. The document discusses the principles of ECDM, including the formation of a gas film and electrochemical discharges. It also reviews literature on modeling and applications of ECDM, such as microfabrication. ECDM shows potential for precision machining of hard and brittle materials like ceramics.
electrochemical discharge machining.
also known as electrochemical spark machining.
we covert normal drilling machine in electrochemical spark machining and perform drilling operation on the work piece and create a macrohole in a quartz glass. the results are shown in the ppt.
we created this project under the head of department of mechanical engineering ER. Rakesh sigh sir and ER.mudit tyagi sir from mtech department from noida institute of engineering and technology, greater noida.
Literature Review on Electrical Discharge Machining (EDM)
Research Paper Published by:
Vishal Kumar Jaiswal
M.Tech (Production and Industrial Engineering)
Paper Source:
http://ijsrd.com/articles/IJSRDV6I50167.pdf
http://ijsrd.com/Article.php?manuscript=IJSRDV6I50167
This document discusses analyzing process parameters in wire electrical discharge machining (WEDM) of Inconel 718, a nickel-based super alloy. The objectives are to investigate significant WEDM parameters that affect material removal rate, electrode wear ratio, and hardness; study the effect of parameters on dimensional output like circularity and cylindricity; establish optimal WEDM parameters for Inconel; and develop an empirical model using Taguchi's design of experiments. The document reviews literature on modeling and optimizing WEDM performance and discusses the mechanism and influencing parameters of the WEDM process.
IRJET- Effect of Some Cutting Parameters on Metal Removal Rate, Surface Rough...IRJET Journal
The document discusses the effect of cutting parameters on metal removal rate, surface roughness, and overcut in the wire electric discharge machining (WEDM) process. It studies how parameters like pulse on-time, peak current, wire tension, wire feed rate, and water pressure impact these output measures. The study was conducted on EN-31 alloy steel using an ELECTRONICA SPRINTCUT WEDM machine. Mathematical models were developed using response surface methodology to correlate the relationships between input and output parameters. The models can help optimize the WEDM process for machining EN-31 steel.
Experimental Study of Static and Rotary Electrode on Electrical Discharge Mac...IRJET Journal
This document summarizes an experimental study on the effects of static and rotary graphite electrodes on electrical discharge machining (EDM). Experiments were conducted using a graphite electrode to machine copper-nickel alloy with both static and rotary electrodes. Material removal rate (MRR), tool wear rate (TWR), and surface roughness (Ra) were analyzed at different discharge currents for both static and rotary electrodes. The results showed that MRR and TWR increased with increasing discharge current and were higher for the rotary electrode, while surface roughness was lower for the rotary electrode. In conclusion, a rotary graphite electrode provided better surface quality and higher MRR but also higher TWR compared to a static electrode.
REVIEW PAPER ON EFFECT OF PROCESS PARAMETERS OF ECDM ON RESPONSE VARIABLES ijiert bestjournal
Electrochemical discharge machining is a versatile machining process for micro drilling,micro texturi ng,and micro grooving of variety of glasses,ceramics and compos ites. Electrochemical discharge machining (ECDM),a lso known as spark assisted chemical engraving (SACE),is an effective micro-machining process for non-con ducting materials. It has high demand in Micro Electro Mech anical System (MEMS) applications. In this present review Paper,a study of the effective Parameters of ECDM has been carried out with their specific role in Ma terial removal;Surface Finish and Tool wear Rate. The eff ects of the electrolyte,the pulse on/off-time rati o,the voltage,the feed rate,the rotational speed,and the electr olyte concentration in the drilling and milling pro cesses were studied.
Fluid Dynamic Simulation and Experimental Study of Honeycomb Seal Structures ...ijmech
Electrochemical discharge machining (ECDM) is a composite technology that combines electric discharge machining (EDM) with electrochemical machining (ECM). In this study, ECDM was used for the processing of honeycomb seal structures, and fluid dynamic simulation and experimental study were conducted. A vortex effect was observed, hindering the electrolyte flow. Compared to other fluid supply methods, a bilateral fluid supply can reduce vorticity and velocity, weakening the vortex effect. According to the result and the current signals after discrete wavelet transformation (DWT), the higher voltage and flow rate can increase total energy and exacerbate the vortex effect respectively, and strengthen the EDM and ECM effect, resulting in more processing depth, over corrosion depth, and molten product height. However, the higher electrolyte concentration can reduce the EDM effect, and enhance the ECM effect, which leads to more over corrosion depth, less processing depth and molten product height. The research results proved that ECDM has a good effect on processing honeycomb seal structures.
IRJET- Parameter Optimization of Electric Discharge MachiningIRJET Journal
This document summarizes an experiment to optimize parameters in electric discharge machining (EDM). EDM is a non-traditional machining process that uses electrical sparks to remove material from a conductive workpiece. The experiment varied pulse on time, discharge current, and voltage to determine their effect on the material removal rate. Stainless steel was used as the workpiece and copper as the tool electrode. The material removal rate was calculated based on the weight loss measured at different parameter settings. Graphs showed that the removal rate increased with pulse on time up to 100-150 microseconds but then decreased at higher times, possibly due to increased melting and tool wear. Optimizing the EDM parameters can improve the efficiency of the machining
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document provides a review of research on Electrical Discharge Machining (EDM) and its applications. It summarizes 111 research papers on EDM. The summary discusses developments in EDM, including experimental studies on machining different materials and modeling approaches like mathematical models, simulation, fuzzy logic, and artificial neural networks to optimize EDM performance. It also reviews research on Wire EDM processes and applications of modeling techniques like response surface methodology and Taguchi methods. The document concludes that research areas like dry EDM and using water as a dielectric fluid show emerging potential to further enhance EDM capabilities.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IRJET- Advance Manufacturing Processes Review Part IV: Electrical Dischar...IRJET Journal
1) Electrical discharge machining (EDM) is a non-traditional machining process that uses electric sparks to erode conductive materials.
2) EDM can machine hard materials like steel and super alloys regardless of their hardness by melting and vaporizing small amounts of material with each electric spark.
3) The document reviews research on EDM process parameters and their effects on material removal rate, surface roughness, and tool wear. It also summarizes recent research trends in EDM like ultrasonic vibration-assisted EDM and EDM in water.
Review Study and Importance of Micro Electric Discharge Machiningsushil Choudhary
Micro EDM process is one of the micro- machining processes. It can be used to machine micro features and
makes a micro parts. There is a huge demand in the production of microstructures by a non-traditional method
which known as Micro-EDM. Micro-EDM process is based on the thermoelectric energy between the workpiece
and an electrode. Micro-EDM is a newly developed method to produce micro-parts which in the range of
50 μm -100 μm. Micro-EDM is an efficient machining process for the fabrication of a micro-metal hole with
various advantages resulting from its characteristics of non-contact and thermal process. A pulse discharges
occur in a small gap between the work piece and the electrode and at the same time removes the unwanted
material from the parent metal through the process of melting and vaporization. This paper describes the
importance, parameters, principle, difference between Macro and micro EDM, applications and advantages of μ-
EDM and discuss about the literature reviews based on performance measure in micro- EDMP process.
This document summarizes a seminar presentation on electric discharge machining (EDM) and its future scope. It discusses the principle, construction, tool materials, advantages and disadvantages of EDM. Key applications include machining dies, molds, and complex internal shapes in hard metals. The document outlines the history of EDM development and covers the components of an EDM system. It concludes that EDM is a flexible machining method and there is scope to optimize processes through computer control and new techniques like rotating disc cutters.
A Literature Review On Dry Wire Electrical Discharge MachiningIJSRD
This document provides a literature review on dry wire electrical discharge machining (EDM). It summarizes several past studies that investigated dry EDM using various gases as dielectrics and how it improves performance over conventional EDM using liquid dielectrics. The review examines factors like material removal rate, surface finish, tool wear rate, and process parameters that influence these outputs. It discusses the basic working principles of dry wire EDM and evaluates the findings of multiple past studies on the effects of different machining variables in dry EDM.
Dynamic Monitoring Of Information in Large Scale Power GridsIJSRD
this document proposes the software model for detection and analysis of cascading faults in the operation of large scale power grids. Using data mining technologies, probable patterns can be detected for faults and proper mitigation measures can be taken. Firstly, the fault is detected by checking the stability of system. Then event sequences are calculated to best approximate the fault node. Then by analyzing the severity of vulnerability and region in which vulnerability would occur, proper ICT Technologies can make operators aware about the faults. Hence, speeding up the existing mechanisms. This model aims to solve problem of detection more efficiently than existing systems.
Removal of Heavy Metals from Water using ElectrocoagulationIRJET Journal
This study investigated the removal of manganese and copper from water using electrocoagulation with iron and zinc electrodes. Various parameters including electrode material, electrolyte, and treatment time were examined. The highest removal efficiencies of 93.57% for copper and 76.96% for manganese were achieved using an iron electrode with sodium chloride electrolyte over a treatment time of 60 minutes. In general, iron electrodes and sodium chloride electrolyte provided better removal of heavy metals compared to zinc electrodes and calcium chloride electrolyte. The experimental results demonstrated that electrocoagulation can successfully remove heavy metals from water.
ADVANCEMENT IN ULTRASONIC VIBRATION AND MAGNETIC FIELD ASSISTED MICROEDM PROC...IAEME Publication
Micro-machining of components has been emerged as a peak demand in the world
of micro-manufacturing. Micro-EDM is proved to be the most suitable for micro
drilling purposes. It is very essential to fabricate micro holes as well as features with
very high dimensional accuracy and precision. The major drawbacks in micro-EDM
processes are the low metal removal, tool wear and surface roughness. Researchers
have carried out several investigations to compensate the various machining problems
in the micro-EDM process. So, there evolves a need for development of more
sophisticated machining features in micro-EDM process combining with additional
techniques. This paper presents a brief review on the latest advancement in ultrasonic
vibration and magnetic field assisted techniques to improve machining efficiency and
surface qualities of machined features in micro-EDM process. Latest industrial
applications of micro-EDM have been presented
ADVANCEMENT IN ULTRASONIC VIBRATION AND MAGNETIC FIELD ASSISTED MICROEDM PROC...IAEME Publication
Micro-machining of components has been emerged as a peak demand in the world
of micro-manufacturing. Micro-EDM is proved to be the most suitable for micro
drilling purposes. It is very essential to fabricate micro holes as well as features with
very high dimensional accuracy and precision. The major drawbacks in micro-EDM
processes are the low metal removal, tool wear and surface roughness. Researchers
have carried out several investigations to compensate the various machining problems
in the micro-EDM process. So, there evolves a need for development of more
sophisticated machining features in micro-EDM process combining with additional
techniques. This paper presents a brief review on the latest advancement in ultrasonic
vibration and magnetic field assisted techniques to improve machining efficiency and
surface qualities of machined features in micro-EDM process. Latest industrial
applications of micro-EDM have been presented.
The document discusses experimentation on controlling tool wear during electric discharge machining (EDM) using statistical analysis and optimization techniques. Key points:
1) The experiment uses EN-31 material with copper electrodes and analyzes process parameters like discharge current, pulse on/off time on tool wear using Taguchi's design of experiments.
2) Analysis of variance (ANOVA) indicates discharge current, pulse on time, and pulse off time significantly affect tool wear.
3) The goal is to determine optimal parameter levels to minimize tool wear and validate the solution through experimentation on an EDM machine and statistical software.
Similar to Machining of Borosilicate Glass with ECDM using Different Abrasives (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.