The document discusses the materials selection process for choosing an optimal material for a given component. It outlines the general steps as: 1) analyzing performance requirements, 2) developing alternative solutions, 3) evaluating solutions, and 4) deciding on the best solution. Key aspects of the process include identifying material properties needed to meet functional, manufacturing, reliability, and service condition requirements. Multiple potential materials and manufacturing processes are considered to find the best combination that will allow the component to fulfill its intended purpose. Evaluation and selection methods like weighted properties, material indices, and case studies are presented.
This document analyzes the effect of different wire electrodes on the material removal rate (MRR) of an MS workpiece using wire electrical discharge machining (WEDM). Experiments were conducted using copper, brass, and zinc-coated brass wire electrodes at various levels of current and pulse duration. The results showed that MRR was highest with copper wire and decreased with brass and zinc-coated brass wires. MRR also decreased with increasing current but increased with longer pulse duration. Statistical analysis through ANOVA confirmed that the wire material and pulse duration significantly affected the MRR while current had a lesser effect.
Investigation of mrr in wedm for wc co sintered compositeIAEME Publication
The document investigates the influence of wire electrical discharge machining (WEDM) parameters on material removal rate when machining tungsten carbide-cobalt (WC-Co) sintered composite. Experiments were conducted using a response surface methodology with five control factors (pulse on-time, pulse off-time, peak current, servo voltage, and wire tension). The results were used to derive a mathematical model to predict material removal rate and optimize the WEDM process for machining WC-Co composite.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
This document compares various materials for use as smartphone shells based on their fracture toughness, thermal conductivity, stiffness, embodied energy, and other properties. It presents data on aluminum, polycarbonate, carbon fiber reinforced polymer (CFRP), epoxies, and polymethyl methacrylate (PMMA) in tables and charts. The objective is to optimize fracture toughness while minimizing mass. Polycarbonate has the best material index values for thermal conductivity and embodied energy, while aluminum ranks highest for stiffness and CFRP for fracture toughness. The conclusion is that polycarbonate may be the best material for smartphone shells based on the design criteria and objectives.
The document discusses a study on the effect of electrical discharge machining (EDM) parameters on high carbon-chromium steel. Central composite design was used to conduct experiments varying pulse on time, duty cycle, current, voltage gap, and pressure. Response variables of material removal rate, electrode wear rate, and surface roughness were analyzed. For material removal rate, the linear model best fit the data. Interaction effects best modeled electrode wear rate, with some parameters having high impact. The interaction model also best fit surface roughness data. Overall, the study used statistical methods to develop models relating EDM parameters to response variables for high carbon-chromium steel EDM.
WEDM process parameter optimization for newly developed hybrid Al(SiC + Gr + ...ROEVER GROUPS
This document summarizes an experimental study that optimized wire electrical discharge machining (WEDM) parameters for machining a hybrid Al/(SiC + Gr + Fe2O3) metal matrix composite (MMC). Taguchi methods were used to design the experiment using an L27 orthogonal array to investigate the effects of six machining parameters (peak current, pulse-on time, pulse-off time, wire tension, feed rate, and voltage gap) on surface roughness. The experiments found that pulse-on time, current, and off-time significantly affected surface roughness, and confirmatory tests showed that using the optimized parameter combination improved the surface finish.
Modeling and optimization of EDM Process Parameters on Machining of Inconel ...ROEVER GROUPS
This document summarizes a research paper that models and optimizes electrical discharge machining (EDM) process parameters for machining Inconel 686. The researchers conducted experiments with four controllable input parameters (spark current, pulse on time, duty cycle, voltage) using a face-centered central composite design. They analyzed the effects of the parameters on material removal rate, tool wear rate, and surface roughness using analysis of variance. Models were developed that showed the parameters significantly affected the output characteristics. The models had high R-squared values and adequate precision above 4, indicating good predictability and design adequacy.
The document discusses the materials selection process for choosing an optimal material for a given component. It outlines the general steps as: 1) analyzing performance requirements, 2) developing alternative solutions, 3) evaluating solutions, and 4) deciding on the best solution. Key aspects of the process include identifying material properties needed to meet functional, manufacturing, reliability, and service condition requirements. Multiple potential materials and manufacturing processes are considered to find the best combination that will allow the component to fulfill its intended purpose. Evaluation and selection methods like weighted properties, material indices, and case studies are presented.
This document analyzes the effect of different wire electrodes on the material removal rate (MRR) of an MS workpiece using wire electrical discharge machining (WEDM). Experiments were conducted using copper, brass, and zinc-coated brass wire electrodes at various levels of current and pulse duration. The results showed that MRR was highest with copper wire and decreased with brass and zinc-coated brass wires. MRR also decreased with increasing current but increased with longer pulse duration. Statistical analysis through ANOVA confirmed that the wire material and pulse duration significantly affected the MRR while current had a lesser effect.
Investigation of mrr in wedm for wc co sintered compositeIAEME Publication
The document investigates the influence of wire electrical discharge machining (WEDM) parameters on material removal rate when machining tungsten carbide-cobalt (WC-Co) sintered composite. Experiments were conducted using a response surface methodology with five control factors (pulse on-time, pulse off-time, peak current, servo voltage, and wire tension). The results were used to derive a mathematical model to predict material removal rate and optimize the WEDM process for machining WC-Co composite.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
This document compares various materials for use as smartphone shells based on their fracture toughness, thermal conductivity, stiffness, embodied energy, and other properties. It presents data on aluminum, polycarbonate, carbon fiber reinforced polymer (CFRP), epoxies, and polymethyl methacrylate (PMMA) in tables and charts. The objective is to optimize fracture toughness while minimizing mass. Polycarbonate has the best material index values for thermal conductivity and embodied energy, while aluminum ranks highest for stiffness and CFRP for fracture toughness. The conclusion is that polycarbonate may be the best material for smartphone shells based on the design criteria and objectives.
The document discusses a study on the effect of electrical discharge machining (EDM) parameters on high carbon-chromium steel. Central composite design was used to conduct experiments varying pulse on time, duty cycle, current, voltage gap, and pressure. Response variables of material removal rate, electrode wear rate, and surface roughness were analyzed. For material removal rate, the linear model best fit the data. Interaction effects best modeled electrode wear rate, with some parameters having high impact. The interaction model also best fit surface roughness data. Overall, the study used statistical methods to develop models relating EDM parameters to response variables for high carbon-chromium steel EDM.
WEDM process parameter optimization for newly developed hybrid Al(SiC + Gr + ...ROEVER GROUPS
This document summarizes an experimental study that optimized wire electrical discharge machining (WEDM) parameters for machining a hybrid Al/(SiC + Gr + Fe2O3) metal matrix composite (MMC). Taguchi methods were used to design the experiment using an L27 orthogonal array to investigate the effects of six machining parameters (peak current, pulse-on time, pulse-off time, wire tension, feed rate, and voltage gap) on surface roughness. The experiments found that pulse-on time, current, and off-time significantly affected surface roughness, and confirmatory tests showed that using the optimized parameter combination improved the surface finish.
Modeling and optimization of EDM Process Parameters on Machining of Inconel ...ROEVER GROUPS
This document summarizes a research paper that models and optimizes electrical discharge machining (EDM) process parameters for machining Inconel 686. The researchers conducted experiments with four controllable input parameters (spark current, pulse on time, duty cycle, voltage) using a face-centered central composite design. They analyzed the effects of the parameters on material removal rate, tool wear rate, and surface roughness using analysis of variance. Models were developed that showed the parameters significantly affected the output characteristics. The models had high R-squared values and adequate precision above 4, indicating good predictability and design adequacy.
The document discusses selecting eco-friendly materials for bicycle handlebars. It analyzes carbon fiber, bamboo, titanium, stainless steel, and aluminum based on their environmental impact, physical properties, and manufacturability. Mathematical equations are used to determine the optimal thickness for each material to withstand the same bending moments as the original aluminum design. Analysis with the Eco Material Adviser tool shows titanium has the lowest embodied energy and carbon footprint despite its higher strength, allowing for a thinner-walled design using less material. In conclusion, titanium is identified as the most suitable eco-friendly material for the bicycle handlebars.
Effect of process parameters using friction stir processing /welding of steel...Husain Mehdi
Microstructural changes and flow of material have be comprehensively studied by many researchers. A lot of studies have been conducted by changing the process parameters such as axial load, feed, speed of the tool, tool geometry, tool tilt angle etc. to find the optimum process parameters. Friction stir welding can be applied on various materials such as aluminum, manganese, copper. Till date majority of the research and development was done on aluminum alloys. This is so because Al alloys are easy to deform at relatively low temperatures (approximately below 550 Celsius). Also, they are easier to weld as compared to other materials. But these days a lot of studies are being conducted on carrying out friction stir processing on steel. This process improves mechanical properties like tensile strength, ductility, micro-hardness etc.
This document discusses the development and generation of micro-gears using the wire electrical discharge machining (WEDM) process. The study aims to investigate the effects of various WEDM process parameters on gear micro-geometry and develop the process to achieve high production and precision. Process parameters like wire feed rate, pulse on time, and pulse off time are varied according to a Box-Behnken design of experiments. Output responses like cutting speed, material removal rate, and surface roughness are measured. Statistical analysis is performed to develop models and optimize the process.
A study on influence of polarity on the machining characteristics of sinker edmIAEME Publication
1. The study examines the effect of polarity on material removal rate, electrode wear, and surface roughness in electrical discharge machining of stainless steel.
2. Experiments were conducted using straight and reverse polarity at various currents. Reverse polarity and higher currents produced higher material removal rates but lower surface quality.
3. Straight polarity produced lower material removal rates but better surface finish. The results indicate that polarity and current setting have significant effects and can be optimized based on priorities for material removal rate versus surface roughness.
Optimization of WEDM Process Parameters on Titanium Alloy Using Taguchi MethodIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Parametric Optimization on MIG Welded EN8 Material Joints by using Taguchi Me...ijsrd.com
Welding is a manufacturing process, which is carried out for joining of metals. By MIG Welding it is possible to weld in all positions. Optimization of the parameter will be carried out by Taguchi method. We will use EN-8 material which is more use in Automobile parts. EN8 plate with dimensions 250mm x 125mm x 6mm with V- Groove 650.Where the input parameters are welding current, Wire feed and gas flow rate and output parameters are tensile strength and Hardness.
Optimization of the Process Parameters of Wire Cut EDM - A ReviewIJSRD
The objective of this paper is to study the effect of different process parameter of wire electrical discharge machine (WEDM) process on the performance measures such as material removal rate (MRR), surface roughness, dimensional accuracy and kerf width. It is necessary to evaluate the factors that affect the productivity and efficiency of WEDM process. It will directly contribute to increase cutting speed and dimensional accuracy.
Optimization of Electrical Discharge Machining Process Parameters using SCM42...IOSRJMCE
This document summarizes research that used response surface methodology to optimize the electrical discharge machining (EDM) process parameters when machining SCM420 low alloy steel. The researchers investigated the effects of peak current, pulse on time, and gap voltage on material removal rate (MRR) and surface roughness (Ra). They conducted experiments according to a central composite design and analyzed the results to develop mathematical models relating the process parameters to the output responses. The analysis found that peak current had the greatest influence on both MRR and Ra, with MRR increasing and Ra decreasing at higher peak current levels. Optimal values for the process parameters to achieve high MRR and low Ra were determined to be a peak current of 22 amps, pulse
Development of a Taguchi-based framework for optimizing two quality character...IJERA Editor
This document describes a framework developed using Taguchi methods to optimize two quality characteristics, surface roughness and angular accuracy, in wire electrical discharge machining (W-EDM) operations. An experiment was conducted using an L9 orthogonal array to investigate the effects of four controllable factors (pulse on time, feed rate, voltage, and wire tension), each at three levels, on the two response variables. The optimal settings identified were able to improve both surface roughness and angular accuracy, as confirmed through additional validation experiments. This research established a systematic approach for obtaining a single optimal parameter setting to maximize multiple quality characteristics simultaneously in machining applications.
Optimization of EDM Process of (Cu-W) EDM Electrodes on Different ProgressionIJERA Editor
This document summarizes previous research on optimizing EDM (electrical discharge machining) processes using different compositions of Cu-W electrodes. It discusses factors like material removal rate, tool wear rate, surface roughness, and how they are affected by machining parameters like discharge current, voltage, pulse-on time, duty cycle and flushing pressure. The document reviews several past studies that investigated these relationships and optimized the EDM process for different materials. It provides figures from some of these past studies to illustrate their findings.
This document provides an introduction and overview to exercises related to selecting materials, processes, and shapes. It is organized into nine sections that cover topics like devising concepts, using material selection charts, translating constraints and objectives, deriving and using material indices, selecting processes, and more. The exercises are designed to help readers practice skills for selecting materials and developing hybrid materials to meet design requirements. They range from very easy to more complex, requiring clear thinking about constraints, objectives, and tradeoffs rather than complex math. The document encourages exploring alternative solutions and using provided charts and software to find potential material candidates with supporting rationales.
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steelijtsrd
Friction surface treatment is well established solid technology and is used for deposition, abrasion and corrosion protection coatings on rigid materials. This novel process has wide range of industrial applications, particularly in the field of reclamation and repair of damaged and worn engineering components. In this paper, present the prediction of tensile of friction surface treated tool steel using ANN for simulated results of friction surface treatment. This experiment was carried out to obtain tool steel coatings of low carbon steel parts by changing input process parameters such as friction pressure, rotational speed and welding speed. The simulation is performed by a 33 factor design that takes into account the maximum and minimum limits of the experimental work performed by the 23 factor design. Neural network structures, such as the Feed Forward Neural Network FFNN , were used to predict tensile tool steel sediments caused by friction. V. Pitchi Raju "ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29169.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/29169/ann-model-based-calculation-of-tensile-of-friction-surfaced-tool-steel/v-pitchi-raju
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.
Multiple Optimization of Wire EDM Machining Parameters Using Grey Based Taguc...IJMER
Wire EDM is a non conventional machining process, which is used when the precision is prime importance. Multiple optimization (Grey based Taguchi) technique is used to find out the optimum machining setup for input parameter. This paper investigate the optimal set of process parameter such as Ton, Toff, Wp, Wf in wire EDM machining process to find out the variation in two output parameter such as material removal rate (MRR), and surface roughness (Ra) on material high chromium high carbon steel (HCHCr) using wire Brass/super alloy (coated).Experimentation was conducted on orthogonal array L-9 based on DOE. Analysis of experiment has been carried out using GRA. All the experimental data are fed into Minitab software, through which various tables, graphs & optimum values are obtained. The experimental result reveals that the optimum setting of input parameters significantly improves Wire EDM process.
IRJET-Experimental Analysis Optimization of Process Parameters of Wire EDM on...IRJET Journal
This document analyzes the optimization of process parameters for wire electrical discharge machining (WEDM) of stainless steel 316L. It conducts experiments using different controllable factors like discharge current, pulse on/off time, and arc gap. Taguchi design of experiments is used to optimize for maximum material removal rate. Experiments are conducted using a copper tool on 316L stainless steel workpieces. The results are analyzed to determine the optimum parameter levels for achieving higher material removal rate and better surface finish quality during WEDM of 316L stainless steel.
Modeling and optimization of edm process parameters a reviewIAEME Publication
This document provides a review of research on modeling and optimization of electrical discharge machining (EDM) process parameters. It summarizes 22 research papers that developed mathematical models and applied optimization techniques like response surface methodology, Taguchi method, and genetic algorithms to determine optimal process parameters. The parameters studied include current, pulse on/off time, voltage, and material/electrode properties. The goals of optimization were to improve material removal rate, reduce tool wear and surface roughness. Modeling helped establish relationships between input and output parameters for better process control and performance.
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.
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.
Seminar report on electric discharge machineAnkit Amlan
This document provides a seminar report on electric discharge machining (EDM) by Ankit Amlan, a 7th semester mechanical engineering student at VSSUT, Burla. The report details EDM work done by Amlan at Hindustan Aeronautics Limited in Sunabeda. It covers the history of EDM, working principles, material removal mechanisms, types of EDM including sinker and wire-cut, applications, and advantages/disadvantages. Pictures and diagrams are included to illustrate EDM systems and processes.
This document is a project report submitted to Gujarat Technological University for their undergraduate program. It examines the experimental study of the effect of process parameters on the performance of electrical discharge machining (EDM). The project was conducted by four students under the guidance of a professor from the Mechanical Engineering department. The report includes certificates from the guide and examiners. It also acknowledges the help received. The abstract provides an overview of the focus of the project which is to analyze how current, voltage, pulse-on time and pulse-off time affect the material removal rate of the EDM process. The literature review covers past research conducted on improving the speed and accuracy of EDM as well as applying it to new materials.
This document discusses recent trends in non-conventional micromachining techniques. It describes several methods such as electrochemical micro-machining (EMM), micro-electrodischarge machining (MEDM), laser micro-machining (LMM), ultrasonic micro-machining (USM), and chemical micro-machining (CMM). For each method, it explains the basic principles, micro-machining processes, applications for micro components, and potential for future development at the nanoscale. The document also explores emerging nanomachining techniques using tools like atomic force microscopes and various top-down and bottom-up fabrication processes.
The document provides information on Abstract Expressionism, a modern art movement that began in New York City in the 1940s. It describes influences like Cubism and Surrealism and the two main types of painting within Abstract Expressionism: action painting and color field painting. Key artists discussed include Jackson Pollock, Willem de Kooning, Joan Mitchell, Franz Kline, Lee Krasner, Mark Rothko, Adolph Gottlieb, Helen Frankenthaler, Kenneth Noland, and Barnett Newman.
The document discusses selecting eco-friendly materials for bicycle handlebars. It analyzes carbon fiber, bamboo, titanium, stainless steel, and aluminum based on their environmental impact, physical properties, and manufacturability. Mathematical equations are used to determine the optimal thickness for each material to withstand the same bending moments as the original aluminum design. Analysis with the Eco Material Adviser tool shows titanium has the lowest embodied energy and carbon footprint despite its higher strength, allowing for a thinner-walled design using less material. In conclusion, titanium is identified as the most suitable eco-friendly material for the bicycle handlebars.
Effect of process parameters using friction stir processing /welding of steel...Husain Mehdi
Microstructural changes and flow of material have be comprehensively studied by many researchers. A lot of studies have been conducted by changing the process parameters such as axial load, feed, speed of the tool, tool geometry, tool tilt angle etc. to find the optimum process parameters. Friction stir welding can be applied on various materials such as aluminum, manganese, copper. Till date majority of the research and development was done on aluminum alloys. This is so because Al alloys are easy to deform at relatively low temperatures (approximately below 550 Celsius). Also, they are easier to weld as compared to other materials. But these days a lot of studies are being conducted on carrying out friction stir processing on steel. This process improves mechanical properties like tensile strength, ductility, micro-hardness etc.
This document discusses the development and generation of micro-gears using the wire electrical discharge machining (WEDM) process. The study aims to investigate the effects of various WEDM process parameters on gear micro-geometry and develop the process to achieve high production and precision. Process parameters like wire feed rate, pulse on time, and pulse off time are varied according to a Box-Behnken design of experiments. Output responses like cutting speed, material removal rate, and surface roughness are measured. Statistical analysis is performed to develop models and optimize the process.
A study on influence of polarity on the machining characteristics of sinker edmIAEME Publication
1. The study examines the effect of polarity on material removal rate, electrode wear, and surface roughness in electrical discharge machining of stainless steel.
2. Experiments were conducted using straight and reverse polarity at various currents. Reverse polarity and higher currents produced higher material removal rates but lower surface quality.
3. Straight polarity produced lower material removal rates but better surface finish. The results indicate that polarity and current setting have significant effects and can be optimized based on priorities for material removal rate versus surface roughness.
Optimization of WEDM Process Parameters on Titanium Alloy Using Taguchi MethodIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Parametric Optimization on MIG Welded EN8 Material Joints by using Taguchi Me...ijsrd.com
Welding is a manufacturing process, which is carried out for joining of metals. By MIG Welding it is possible to weld in all positions. Optimization of the parameter will be carried out by Taguchi method. We will use EN-8 material which is more use in Automobile parts. EN8 plate with dimensions 250mm x 125mm x 6mm with V- Groove 650.Where the input parameters are welding current, Wire feed and gas flow rate and output parameters are tensile strength and Hardness.
Optimization of the Process Parameters of Wire Cut EDM - A ReviewIJSRD
The objective of this paper is to study the effect of different process parameter of wire electrical discharge machine (WEDM) process on the performance measures such as material removal rate (MRR), surface roughness, dimensional accuracy and kerf width. It is necessary to evaluate the factors that affect the productivity and efficiency of WEDM process. It will directly contribute to increase cutting speed and dimensional accuracy.
Optimization of Electrical Discharge Machining Process Parameters using SCM42...IOSRJMCE
This document summarizes research that used response surface methodology to optimize the electrical discharge machining (EDM) process parameters when machining SCM420 low alloy steel. The researchers investigated the effects of peak current, pulse on time, and gap voltage on material removal rate (MRR) and surface roughness (Ra). They conducted experiments according to a central composite design and analyzed the results to develop mathematical models relating the process parameters to the output responses. The analysis found that peak current had the greatest influence on both MRR and Ra, with MRR increasing and Ra decreasing at higher peak current levels. Optimal values for the process parameters to achieve high MRR and low Ra were determined to be a peak current of 22 amps, pulse
Development of a Taguchi-based framework for optimizing two quality character...IJERA Editor
This document describes a framework developed using Taguchi methods to optimize two quality characteristics, surface roughness and angular accuracy, in wire electrical discharge machining (W-EDM) operations. An experiment was conducted using an L9 orthogonal array to investigate the effects of four controllable factors (pulse on time, feed rate, voltage, and wire tension), each at three levels, on the two response variables. The optimal settings identified were able to improve both surface roughness and angular accuracy, as confirmed through additional validation experiments. This research established a systematic approach for obtaining a single optimal parameter setting to maximize multiple quality characteristics simultaneously in machining applications.
Optimization of EDM Process of (Cu-W) EDM Electrodes on Different ProgressionIJERA Editor
This document summarizes previous research on optimizing EDM (electrical discharge machining) processes using different compositions of Cu-W electrodes. It discusses factors like material removal rate, tool wear rate, surface roughness, and how they are affected by machining parameters like discharge current, voltage, pulse-on time, duty cycle and flushing pressure. The document reviews several past studies that investigated these relationships and optimized the EDM process for different materials. It provides figures from some of these past studies to illustrate their findings.
This document provides an introduction and overview to exercises related to selecting materials, processes, and shapes. It is organized into nine sections that cover topics like devising concepts, using material selection charts, translating constraints and objectives, deriving and using material indices, selecting processes, and more. The exercises are designed to help readers practice skills for selecting materials and developing hybrid materials to meet design requirements. They range from very easy to more complex, requiring clear thinking about constraints, objectives, and tradeoffs rather than complex math. The document encourages exploring alternative solutions and using provided charts and software to find potential material candidates with supporting rationales.
ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steelijtsrd
Friction surface treatment is well established solid technology and is used for deposition, abrasion and corrosion protection coatings on rigid materials. This novel process has wide range of industrial applications, particularly in the field of reclamation and repair of damaged and worn engineering components. In this paper, present the prediction of tensile of friction surface treated tool steel using ANN for simulated results of friction surface treatment. This experiment was carried out to obtain tool steel coatings of low carbon steel parts by changing input process parameters such as friction pressure, rotational speed and welding speed. The simulation is performed by a 33 factor design that takes into account the maximum and minimum limits of the experimental work performed by the 23 factor design. Neural network structures, such as the Feed Forward Neural Network FFNN , were used to predict tensile tool steel sediments caused by friction. V. Pitchi Raju "ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29169.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/29169/ann-model-based-calculation-of-tensile-of-friction-surfaced-tool-steel/v-pitchi-raju
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.
Multiple Optimization of Wire EDM Machining Parameters Using Grey Based Taguc...IJMER
Wire EDM is a non conventional machining process, which is used when the precision is prime importance. Multiple optimization (Grey based Taguchi) technique is used to find out the optimum machining setup for input parameter. This paper investigate the optimal set of process parameter such as Ton, Toff, Wp, Wf in wire EDM machining process to find out the variation in two output parameter such as material removal rate (MRR), and surface roughness (Ra) on material high chromium high carbon steel (HCHCr) using wire Brass/super alloy (coated).Experimentation was conducted on orthogonal array L-9 based on DOE. Analysis of experiment has been carried out using GRA. All the experimental data are fed into Minitab software, through which various tables, graphs & optimum values are obtained. The experimental result reveals that the optimum setting of input parameters significantly improves Wire EDM process.
IRJET-Experimental Analysis Optimization of Process Parameters of Wire EDM on...IRJET Journal
This document analyzes the optimization of process parameters for wire electrical discharge machining (WEDM) of stainless steel 316L. It conducts experiments using different controllable factors like discharge current, pulse on/off time, and arc gap. Taguchi design of experiments is used to optimize for maximum material removal rate. Experiments are conducted using a copper tool on 316L stainless steel workpieces. The results are analyzed to determine the optimum parameter levels for achieving higher material removal rate and better surface finish quality during WEDM of 316L stainless steel.
Modeling and optimization of edm process parameters a reviewIAEME Publication
This document provides a review of research on modeling and optimization of electrical discharge machining (EDM) process parameters. It summarizes 22 research papers that developed mathematical models and applied optimization techniques like response surface methodology, Taguchi method, and genetic algorithms to determine optimal process parameters. The parameters studied include current, pulse on/off time, voltage, and material/electrode properties. The goals of optimization were to improve material removal rate, reduce tool wear and surface roughness. Modeling helped establish relationships between input and output parameters for better process control and performance.
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.
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.
Seminar report on electric discharge machineAnkit Amlan
This document provides a seminar report on electric discharge machining (EDM) by Ankit Amlan, a 7th semester mechanical engineering student at VSSUT, Burla. The report details EDM work done by Amlan at Hindustan Aeronautics Limited in Sunabeda. It covers the history of EDM, working principles, material removal mechanisms, types of EDM including sinker and wire-cut, applications, and advantages/disadvantages. Pictures and diagrams are included to illustrate EDM systems and processes.
This document is a project report submitted to Gujarat Technological University for their undergraduate program. It examines the experimental study of the effect of process parameters on the performance of electrical discharge machining (EDM). The project was conducted by four students under the guidance of a professor from the Mechanical Engineering department. The report includes certificates from the guide and examiners. It also acknowledges the help received. The abstract provides an overview of the focus of the project which is to analyze how current, voltage, pulse-on time and pulse-off time affect the material removal rate of the EDM process. The literature review covers past research conducted on improving the speed and accuracy of EDM as well as applying it to new materials.
This document discusses recent trends in non-conventional micromachining techniques. It describes several methods such as electrochemical micro-machining (EMM), micro-electrodischarge machining (MEDM), laser micro-machining (LMM), ultrasonic micro-machining (USM), and chemical micro-machining (CMM). For each method, it explains the basic principles, micro-machining processes, applications for micro components, and potential for future development at the nanoscale. The document also explores emerging nanomachining techniques using tools like atomic force microscopes and various top-down and bottom-up fabrication processes.
The document provides information on Abstract Expressionism, a modern art movement that began in New York City in the 1940s. It describes influences like Cubism and Surrealism and the two main types of painting within Abstract Expressionism: action painting and color field painting. Key artists discussed include Jackson Pollock, Willem de Kooning, Joan Mitchell, Franz Kline, Lee Krasner, Mark Rothko, Adolph Gottlieb, Helen Frankenthaler, Kenneth Noland, and Barnett Newman.
This document summarizes an experiment on electric discharge machining (EDM) of titanium alloy Ti-6Al-4V using a copper tool. The experiment investigated how machining parameters like discharge current, pulse on/off times, and magnetic field strength affect material removal rate, tool wear rate, and surface roughness. Response surface methodology and analysis of variance techniques were used to optimize the machining parameters for high material removal rate and good surface finish.
The document provides information about wire electrical discharge machining (EDM). It discusses how wire EDM works by using a thin wire fed through the workpiece to cut complex shapes. The document outlines the objectives, scope, safety precautions, and standard operating procedure for a project using a Mitsubishi wire EDM machine to cut a mild steel workpiece. It also analyzes the output part and discusses advantages and disadvantages of wire EDM.
This document discusses various methods for improving material removal rate (MRR) in electrical discharge machining (EDM). It explains that EDM uses thermoelectric energy from electric sparks to remove material from conductive workpieces. MRR can be improved through electrode design and geometry, controlling process parameters like voltage, current, and pulse duration, using EDM variations with ultrasonic vibration or rotation, mixing powders into the dielectric fluid, using gas as the dielectric medium, and techniques like multi-spark EDM. Overall, MRR is an important performance measure that relies on empirical methods and requires further research due to the complex interrelationship between electrical and non-electrical parameters in the stochastic EDM process.
The document provides information on the fundamentals and operating principles of electrical discharge machining (EDM). It discusses the history and development of EDM, the preparation and phases of discharge, voltage-current characteristics, theories of material removal, debris generation and morphology, process parameters that affect performance, and components and schematics of EDM systems.
The document describes the electrical discharge machining (EDM) process. EDM involves using electrical sparks to erode material from a conductive workpiece. A tool shaped to the desired cavity or hole acts as an electrode and is placed near the workpiece in a dielectric fluid. High-frequency pulses of voltage are applied, causing sparks that melt and evaporate small amounts of material. The process is repeated until the cavity is shaped. Key aspects of EDM include the dielectric fluid, gap size, electrode material, and operating parameters which control the machining rate and surface finish.
This document describes a density based traffic control system that uses sensors and a microcontroller to dynamically control traffic lights based on vehicle density. Sensors placed on roads measure traffic and transmit values to a microcontroller. As traffic increases on a road, the values change and the microcontroller prioritizes that road's traffic light to allow traffic to flow more efficiently. The system aims to reduce traffic congestion through adaptive, density-based traffic light timing.
This document provides a summary of a seminar report on laser ignition systems. It discusses different types of lasers such as ruby, gas, chemical, excimer, solid-state, semiconductor and dye lasers. It explains the working of conventional spark ignition systems and their drawbacks. It then describes the process of laser ignition, including the four mechanisms of thermal initiation, non-resonant breakdown, resonant breakdown and photo chemical ignition. The document discusses laser induced spark ignition and the minimum energy required for ignition. It also briefly explains how the laser beam is used to ignite fuel in the combustion chamber.
Electrical discharge machining (EDM) is a non-traditional machining process that uses electrical sparks to remove metal. The document discusses the history and development of EDM, including key components like the electrode, workpiece, dielectric fluid, and power supply. It describes the basic EDM process and different EDM methods like conventional EDM, wire EDM, and hole drilling EDM. The document also covers EDM applications, innovations like dry EDM and powder-mixed EDM, and concludes with a list of references.
Seminar presentation on laser ignition system by bhavesh warkhedeBhavesh Warkhede
This document discusses the implementation and impact of a laser ignition system (LIS) on internal combustion engines. It begins by explaining that advances are needed in combustion and after-treatment to reduce the environmental impact of continued IC engine use. It then introduces LIS as an alternative ignition source that could provide benefits over conventional spark plugs like improved lean burn capability and system flexibility. The rest of the document details the components, construction, working, experiments conducted using LIS, advantages like improved combustion and reduced emissions, disadvantages like high costs, and applications and future scope of LIS. It concludes that LIS allows flexible ignition location and has the potential to significantly reduce fuel consumption and exhaust emissions.
Electric discharge machining (EDM) is a machining process that uses electrical sparks to erode metals. It works by maintaining a precise gap between an electrode tool and a metal workpiece submerged in a dielectric fluid. Repeated electrical sparks are generated to melt and vaporize small amounts of metal from both the tool and workpiece, allowing complex and hard-to-machine shapes to be produced. EDM can machine metals regardless of hardness and without mechanical force, giving it advantages over traditional machining methods for difficult-to-cut materials.
EDM is an electrical discharge machining process that uses electrical sparks to erode materials to shape and cut electrically conductive materials, even very hard metals. It has various applications in industries like molds, dies, aerospace where complex shapes are required. While EDM allows machining hard metals and complex shapes, it has slow material removal rates and high power consumption compared to traditional machining.
Electric discharge machining (EDM) involves removing material from a workpiece using electrical discharges between two electrodes separated by a dielectric liquid. It was invented in the 1940s by Russian physicists and can machine hard metals and intricate shapes that other methods cannot. The document discusses the history, working principle, material removal mechanism, advantages, and applications of EDM. It also covers technical parameters like electrode materials, dielectric fluids, and process variables that influence the material removal rate.
Epc project interdepency and Work Flow- promoignitetribes
Engineering, Procurement and Construction are highly correlated and set precedence against each other. They are very interdependent and these dependencies become increasingly critical as the phases are overlapped. In this module we share the interdependence of Engineering - Procurement and the influence in Construction. Here we touch a bit on work front monitoring and work face planning.
The document discusses the development of a hybrid EDM process that incorporates abrasive jet machining (AJM) and ultrasonic vibration (USV) into the EDM in gas process. The hybrid process aims to improve machining characteristics such as material removal rate, electrode wear rate, and surface roughness. Experimental results showed that the hybrid process achieved higher material removal rates, lower surface roughness, and thinner recast layers compared to EDM in gas alone. Key factors like dielectric media and peak current were found to influence the machining characteristics, with oxygen media and higher currents generally providing better results.
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Research paper published ijsrms_process optimization using doe_edm_javed muja...vishwajeet potdar
This document summarizes research on optimizing surface roughness in electric discharge machining (EDM) using design of experiments (DOE). It first provides background on EDM and discusses how surface roughness influences part life in die-mold applications. The document then reviews previous research optimizing EDM performance measures like material removal rate, tool wear rate, and surface roughness using Taguchi methods and analyzing the effects of parameters like discharge current and pulse duration. The goal of the current research is to use DOE to determine suitable levels for significant EDM input parameters to optimize the process for achieving a desired surface roughness value under given operating conditions.
Optimization of Process Parameters And Dielectric Fluids on Machining En 31 B...IJERA Editor
The electric discharge machining is the one of the most desirable machining process for the materials which are having high hardness and good thermal conductivity. The EDM process surpassed through the technological barriers by overcoming limitations like processing speed, material conductivity, dimensional accuracy, and surface finish and so on. However, environmental impact due to release of toxic emissions aerosols during the process, poor operational safety due to fire hazard, electromagnetic radiation and non-bio degradable waste are the major problems concerned with conventional dielectric fluids (i.e. kerosene, hydro carbon, etc.,). To reduce the problems with conventional die electric fluids waste palm oil blended with kerosene is used. The process is mostly used in situations where intricate, complex shapes need to be machined in very hard materials. The objective of this work is to study the influence of four design factors current (I), voltage (V), pulse on(P on), and pulse off(P off) which are the most relevant parameters to be controlled by the EDM process over machining characteristics such as material removal rate (MRR) characteristics of surface integrity such as average surface roughness (Ra). Multi Objective optimization of process parameters is done by using TOPSIS
MULTI OBJECTIVE OPTIMIZATION OF NEAR-DRY EDM PROCESS USING RESPONSE SURFACE M...IAEME Publication
The correct selection of manufacturing technique is one of the most important aspects to take into consideration in the majority of manufacturing processes and particularly in processes related to Electrical Discharge Machining (EDM). It is capable of machining geometrically complex or hard
material components, which are precise and difficult-to-machine such as heat treated tool steels, composites, super alloys, ceramics, carbides, heat resistant steels etc. being widely used in die and mold making industries, aerospace, aeronautics and nuclear industries.
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.
This document summarizes a study that investigated the effect of process parameters on machining EN31 steel using electrical discharge machining (EDM). Experiments were conducted using different tool materials (copper, aluminum, and EN24), supply currents, flushing pressures, and pulse-on times. The experiments analyzed their influence on surface roughness, material removal rate, tool wear rate, and taper. The results of this study can help optimize the EDM process for machining EN31 steel.
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.
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.
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.
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Optimization of machining parameters in edm of cfrp composite using taguchi t...IAEME Publication
1. The document summarizes a study that used Taguchi methods to optimize machining parameters for electrical discharge machining (EDM) of carbon fiber reinforced plastic (CFRP) composite material.
2. The study investigated the effects of gap voltage, discharge current, and pulse-on time on surface roughness. Experiments were conducted using an L9 orthogonal array.
3. Analysis of variance (ANOVA) and signal-to-noise ratios were used to analyze the results. It was found that discharge current had the most significant influence on surface roughness, and confirmation experiments validated the optimum parameters identified.
This document summarizes a research study that investigated near-dry electrical discharge machining (EDM) to optimize material removal rate (MRR) and surface finish. The study used a Taguchi L9 orthogonal array design of experiments to examine the effects of discharge current, pulse on time, gap voltage, and pulse off time on MRR and surface roughness. Response surface methodology was employed to optimize both responses simultaneously. The experimental results found that near-dry EDM achieved a better surface finish compared to wet EDM due to more stable machining at lower discharge energies. MRR and surface roughness were modeled as functions of the process parameters. The models showed the parameters and their interactions significantly affected MRR.
OPTIMIZATION OF MACHINING PARAMETERS IN EDM OF CFRP COMPOSITE USING TAGUCHI T...IAEME Publication
Electrical discharge machining (EDM) is a nontraditional manufacturing technique that has been widely used in the production of tools and dies throughout the world in recent years. The most important performance measure in EDM is the surface roughness. In this study, the effect and
optimization of machining parameters on surface roughness in an EDM operation was investigated by using the Taguchi method. The experimental studies were conducted under varying gap voltage,discharge current, and pulse-on time
Optimization of machining parameters in edm of cfrp composite using taguchi t...IAEME Publication
This document summarizes a study that used the Taguchi method to optimize machining parameters for electrical discharge machining (EDM) of carbon fiber reinforced plastic (CFRP) composite material. The goal was to minimize surface roughness. Experiments were conducted varying gap voltage, discharge current, and pulse-on time. An L9 orthogonal array was used to design the experiments. Surface roughness measurements were analyzed using signal-to-noise ratios and analysis of variance to determine the most influential factors. The results showed that discharge current had the largest effect on surface roughness. Confirmation experiments validated that the optimal parameters produced results consistent with predictions.
Comparative study on variation of process characteristics on al and die steel...IAEME Publication
This document presents the results of an experimental study on the influence of electrical discharge machining (EDM) parameters on process characteristics when machining aluminum (Al) and die steel components. Specifically, it examines the effect of changing current on material removal rate, tool wear ratio, and surface roughness for the two materials. The results showed that increasing current from 10A to 20A led to higher material removal rates and tool wear ratios for both Al and die steel. It also resulted in increased surface roughness parameters (average roughness, average maximum height, maximum roughness depth) for the machined surfaces of both materials. The findings provide information on selecting optimal current parameters to achieve desired EDM efficiency and surface finish when machining Al and die steel
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 summarizes an investigation into the effects of machining parameters on the surface finish and material removal rate when machining an aluminum-copper alloy (AL6351) using wire electric discharge machining (WEDM). The study uses Taguchi's design of experiments method to analyze the effects of pulse on-time, pulse off-time, and peak current. Sixteen experiments were conducted and the material removal rate and surface roughness were measured. The results were analyzed using ANOVA to determine the most significant parameters for improving surface finish and removal rate. The goal of the research was to optimize the WEDM process for machining AL6351 alloy.
Effect of chromium powder mixed dielectric on performance characteristic of a...eSAT Journals
Abstract
In this paper, the effect of chromium powder mixed dielectric fluid on machining characteristics of AISI D2 die steel has been studied. Peak current, pulse on time, pulse off time, concentration of powder are the process parameters. The process performance is measured in terms of material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR). The research outcome will identify the important process parameters that maximize MRR, minimize TWR and SR. The design of experiment has been undertaken using Taguchi method. ANOVA analysis has been used to investigate the percentage contribution of each process parameter for optimizing the performance. The study indicates that all the selected parameters except pulse off time have a significant effect on MRR. Current is found to be the most significant factor for MRR and TWR. With increase in current, TWR increases. Also, surface roughness increases with increase in pulse off time.
Keywords: PMEDM, Material removal rate, Tool wear rate, Surface roughness, Taguchi method
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
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.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
1. Machining Characteristics of a Hybrid Process of EDM in Gas
Combined with Ultrasonic Vibration and Abrasive Jet
Machining
Abstract:
Electric Discharge Machining (EDM) is a well-established non-conventional
manufacturing process whichis formachining hard conductingmaterials having complex
geometries and intricate features that cannot be machined using conventional processes.
This research work focusses on the machining characteristics of a developed hybrid
process of Electrical Discharge Machining (EDM) in gas combined with Abrasive Jet
Machining (AJM) and Ultrasonic Vibration (USV). The developed hybrid EDM process
was adopted to examine the machining characteristics such as material removal rate
(MRR), electrode wear rate (EWR), and surface roughness (SR)for SKD 61 steel through
the experimental works. Dielectric media such as air, oxygen, and argon were employed
in the experiments to investigate the effects.
From the results, Ultrasonic Vibration and Abrasive Jet Machining incorporated into the
hybrid EDM process could obviously promote the machining efficiency and surface
quality. In addition to it different dielectric media supplied into the machining area could
create various effects on machining characteristics.
AMAL BABU
B13ME410
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S7MA
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