The document presents an experimental analysis of abrasive water jet machining (AWJM) on Inconel 718 alloy. Box-Behnken design of response surface methodology was used to investigate the effects of nozzle traverse speed, abrasive mass flow rate, and standoff distance on material removal rate, kerf width, and kerf taper angle. Fifteen experiments were conducted based on the design, and statistical models were developed to predict the responses. Analysis of variance was performed to determine the significance of the process parameters on each response. The results show that traverse speed had the most significant effect on material removal rate, while abrasive flow rate was most influential for surface roughness.
IRJET- Experimental Investigation and Optimization of Process Parameters in A...IRJET Journal
The document describes an experimental investigation into optimizing the process parameters of an abrasive water jet machine. It discusses using the Taguchi method to optimize parameters like abrasive flow rate, nozzle diameter, pressure, and standoff distance to maximize material removal rate and minimize kerf width. Experiments were conducted using an L9 Taguchi array to test different parameter levels. Analysis of variance and response tables were used to analyze the results and determine the most influential parameters, with abrasive flow rate found to have the biggest effect on material removal rate and all parameters found to have little effect on kerf width.
Optimization of Material Removal Rate & Surface Roughness in Dry Turning of M...IJERA Editor
Optimization of machining parameters is valuable to maintain the accuracy of the components and to minimize
the cost of machining. Surface finish is an important measure for the quality of the machined parts. The present
work is an experimental investigation to study the effect of machining parameters on Material Removal Rate
and Surface Roughness in dry turning of medium carbon steel EN19. Taguchi’s single objective optimization
method was used to find the effect of input parameters on the responses. The experiments were conducted as per
Taguchi’s L9 Orthogonal Array on CNC lathe under dry conditions. Cutting parameters of speed, feed and
depth of cut were taken as inputs and machining was done by PVD TiAlN tool. Regression models for the
responses were prepared by using MINITAB-16 software. Analysis of variance (ANOVA) was used to find the
influence of machining parameters on the responses. From the ANOVA results, it is clear that speed has high
influence followed by feed and depth of cut has very low influence in achieving the optimum values for both
Material Removal Rate and Surface Roughness. Finally, experimental and Regression values of responses were
compared. From the results, it is found that both the values are close to each other hence, the regression models
prepared were more accurate and adequate. Percentage of errors between experimental and regression values
were calculated and they found in the range of ±0.20.
IRJET- Experimental Investigations on Machining Characteristics of AA5754...IRJET Journal
This document presents an experimental investigation into the machining characteristics of AA5754-TiB2 metal matrix composites using wire electrical discharge machining (WEDM). Experiments were conducted using an orthogonal array to examine the effects of various WEDM parameters like pulse on time, pulse off time, servo voltage, wire feed, and wire tension on material removal rate and surface roughness. Analysis of variance was used to evaluate the significant design parameters, while signal-to-noise ratios examined the effects on the responses. The results identified an optimal combination of parameters that maximized material removal rate with minimum surface roughness. Confirmation experiments validated the proposed method.
IRJET- Material Removal Rate and Surface Roughness based Cutting Paramete...IRJET Journal
This document summarizes a study that optimized cutting parameters for turning EN24 steel using Taguchi methods. Nine turning experiments were conducted using an L9 orthogonal array with cutting speed, feed rate, and depth of cut as parameters. Material removal rate was calculated and surface roughness was measured for each experiment. Signal-to-noise ratios and ANOVA were used to analyze the results and identify optimal parameters for high material removal rate and low surface roughness. The optimal parameters achieved improved material removal rate and surface roughness compared to initial settings.
ANALYSIS OF KERF GEOMETRY WITH ABRASIVE WATER JET MACHINE IN MARBLE PROCESSINGIRJET Journal
The document analyzes the geometry of kerf (cut) produced when using an abrasive water jet machine to cut different types of marble. Experiments were conducted varying parameters like water pressure, abrasive flow rate, standoff distance, and nozzle geometry. Data was collected on kerf width, taper angle, burr formation, and surface roughness. Results showed that adjusting machining parameters can effectively minimize kerf width and taper angle while also impacting material removal rate, burr formation, and surface roughness. The abrasive water jet process was found to be more advantageous than traditional marble cutting methods.
optimization of process parameters for cnc turning using taguchi methods for ...INFOGAIN PUBLICATION
Coated and uncoated tool inserts offers certain degrees of control on the desired rate of tool wear and surface roughness to an extent. This work pursues the quest for realizing the optimal values for the significant process parameters that bears an influence on the response parameters. Experiments were conducted on the samples of EN 24 alloy steel material with the help of PVD coated TiAlN insert and uncoated carbide insert. The experimental runs carried out with proper variation in the levels. Levels are selected with the help of manufacturing catalogue and by pilot experimentation and results are recorded for further analysis. For this study, 9 runs designed using L9 orthogonal array of Taguchi Design of Experiment. Surface roughness was measured using a Mitutoyo surface tester at test lab and material removal rate is calculated by mathematical equation. The data was compiled into Minitab 17 software for analysis. The relationship between the machining parameters and the response variables were analyzed using the Taguchi Method. Optimization of process parameters is carried out by Grey Relational Analysis method (GRA). GRA method is a powerful and most versatile tool which can manipulate the input data as per requirement and comes with results that can be used to have best multi-objective in respective concerns
Optimization of Process Parameters of Powder Mixed Wire-cut Electric Discharg...IRJET Journal
This document summarizes an experiment conducted to optimize the process parameters of powder mixed wire-cut electric discharge machining (PMWEDM) on NIMONIC 90 alloy. The experiment uses a Taguchi L27 orthogonal array to investigate the effects of pulse on time, pulse off time, servo voltage, wire feed rate, and powder concentration on responses like kerf width, material removal rate, and surface roughness. Grey relational analysis is also used for multi-objective optimization. The results show that using the optimized parameters from Taguchi and grey relational analysis can reduce kerf width by 3.27% and surface roughness by 21.85%, while increasing material removal rate.
Effect of Machining Parameters on Surface Roughness and Material Removal Rate...IRJET Journal
This document discusses an experiment to optimize parameters for rotary ultrasonic machining of silicon carbide. Silicon carbide is difficult to machine conventionally due to its brittleness. Rotary ultrasonic machining allows machining silicon carbide while maintaining a ductile regime. The experiment uses Taguchi methods to analyze how machining parameters like frequency, spindle speed, feed rate, and depth of cut affect surface roughness and material removal rate. The optimal parameters found to minimize surface roughness were a frequency of 41430 Hz, spindle speed of 2500 rpm, feed rate of 150 mm/min, and depth of cut of 40 μm. The optimal parameters for maximizing material removal rate were a frequency of 41430 Hz, spindle speed of
IRJET- Experimental Investigation and Optimization of Process Parameters in A...IRJET Journal
The document describes an experimental investigation into optimizing the process parameters of an abrasive water jet machine. It discusses using the Taguchi method to optimize parameters like abrasive flow rate, nozzle diameter, pressure, and standoff distance to maximize material removal rate and minimize kerf width. Experiments were conducted using an L9 Taguchi array to test different parameter levels. Analysis of variance and response tables were used to analyze the results and determine the most influential parameters, with abrasive flow rate found to have the biggest effect on material removal rate and all parameters found to have little effect on kerf width.
Optimization of Material Removal Rate & Surface Roughness in Dry Turning of M...IJERA Editor
Optimization of machining parameters is valuable to maintain the accuracy of the components and to minimize
the cost of machining. Surface finish is an important measure for the quality of the machined parts. The present
work is an experimental investigation to study the effect of machining parameters on Material Removal Rate
and Surface Roughness in dry turning of medium carbon steel EN19. Taguchi’s single objective optimization
method was used to find the effect of input parameters on the responses. The experiments were conducted as per
Taguchi’s L9 Orthogonal Array on CNC lathe under dry conditions. Cutting parameters of speed, feed and
depth of cut were taken as inputs and machining was done by PVD TiAlN tool. Regression models for the
responses were prepared by using MINITAB-16 software. Analysis of variance (ANOVA) was used to find the
influence of machining parameters on the responses. From the ANOVA results, it is clear that speed has high
influence followed by feed and depth of cut has very low influence in achieving the optimum values for both
Material Removal Rate and Surface Roughness. Finally, experimental and Regression values of responses were
compared. From the results, it is found that both the values are close to each other hence, the regression models
prepared were more accurate and adequate. Percentage of errors between experimental and regression values
were calculated and they found in the range of ±0.20.
IRJET- Experimental Investigations on Machining Characteristics of AA5754...IRJET Journal
This document presents an experimental investigation into the machining characteristics of AA5754-TiB2 metal matrix composites using wire electrical discharge machining (WEDM). Experiments were conducted using an orthogonal array to examine the effects of various WEDM parameters like pulse on time, pulse off time, servo voltage, wire feed, and wire tension on material removal rate and surface roughness. Analysis of variance was used to evaluate the significant design parameters, while signal-to-noise ratios examined the effects on the responses. The results identified an optimal combination of parameters that maximized material removal rate with minimum surface roughness. Confirmation experiments validated the proposed method.
IRJET- Material Removal Rate and Surface Roughness based Cutting Paramete...IRJET Journal
This document summarizes a study that optimized cutting parameters for turning EN24 steel using Taguchi methods. Nine turning experiments were conducted using an L9 orthogonal array with cutting speed, feed rate, and depth of cut as parameters. Material removal rate was calculated and surface roughness was measured for each experiment. Signal-to-noise ratios and ANOVA were used to analyze the results and identify optimal parameters for high material removal rate and low surface roughness. The optimal parameters achieved improved material removal rate and surface roughness compared to initial settings.
ANALYSIS OF KERF GEOMETRY WITH ABRASIVE WATER JET MACHINE IN MARBLE PROCESSINGIRJET Journal
The document analyzes the geometry of kerf (cut) produced when using an abrasive water jet machine to cut different types of marble. Experiments were conducted varying parameters like water pressure, abrasive flow rate, standoff distance, and nozzle geometry. Data was collected on kerf width, taper angle, burr formation, and surface roughness. Results showed that adjusting machining parameters can effectively minimize kerf width and taper angle while also impacting material removal rate, burr formation, and surface roughness. The abrasive water jet process was found to be more advantageous than traditional marble cutting methods.
optimization of process parameters for cnc turning using taguchi methods for ...INFOGAIN PUBLICATION
Coated and uncoated tool inserts offers certain degrees of control on the desired rate of tool wear and surface roughness to an extent. This work pursues the quest for realizing the optimal values for the significant process parameters that bears an influence on the response parameters. Experiments were conducted on the samples of EN 24 alloy steel material with the help of PVD coated TiAlN insert and uncoated carbide insert. The experimental runs carried out with proper variation in the levels. Levels are selected with the help of manufacturing catalogue and by pilot experimentation and results are recorded for further analysis. For this study, 9 runs designed using L9 orthogonal array of Taguchi Design of Experiment. Surface roughness was measured using a Mitutoyo surface tester at test lab and material removal rate is calculated by mathematical equation. The data was compiled into Minitab 17 software for analysis. The relationship between the machining parameters and the response variables were analyzed using the Taguchi Method. Optimization of process parameters is carried out by Grey Relational Analysis method (GRA). GRA method is a powerful and most versatile tool which can manipulate the input data as per requirement and comes with results that can be used to have best multi-objective in respective concerns
Optimization of Process Parameters of Powder Mixed Wire-cut Electric Discharg...IRJET Journal
This document summarizes an experiment conducted to optimize the process parameters of powder mixed wire-cut electric discharge machining (PMWEDM) on NIMONIC 90 alloy. The experiment uses a Taguchi L27 orthogonal array to investigate the effects of pulse on time, pulse off time, servo voltage, wire feed rate, and powder concentration on responses like kerf width, material removal rate, and surface roughness. Grey relational analysis is also used for multi-objective optimization. The results show that using the optimized parameters from Taguchi and grey relational analysis can reduce kerf width by 3.27% and surface roughness by 21.85%, while increasing material removal rate.
Effect of Machining Parameters on Surface Roughness and Material Removal Rate...IRJET Journal
This document discusses an experiment to optimize parameters for rotary ultrasonic machining of silicon carbide. Silicon carbide is difficult to machine conventionally due to its brittleness. Rotary ultrasonic machining allows machining silicon carbide while maintaining a ductile regime. The experiment uses Taguchi methods to analyze how machining parameters like frequency, spindle speed, feed rate, and depth of cut affect surface roughness and material removal rate. The optimal parameters found to minimize surface roughness were a frequency of 41430 Hz, spindle speed of 2500 rpm, feed rate of 150 mm/min, and depth of cut of 40 μm. The optimal parameters for maximizing material removal rate were a frequency of 41430 Hz, spindle speed of
Investigation of Metal Removal Rate and Surface Finish on Inconel 718 by Abra...AM Publications
Abrasive Waterjet (AWJ) cutting has proven to be an effective technology for material processing with the distinct advantages of no thermal distortion, high machining versatility, high flexibility and small cutting forces. In this paper, Taguchi robust design analysis is employed to determine optimal combination of process parameters. The Analysis of Variance (ANOVA) is also applied to identify the most significant factor. The process parameters such as pressure, transverse speed, stand of distance and abrasive flow rate are optimized to investigate their influence on Metal Removal Rate (MRR) and Surface Roughness (Ra) of Inconel. Experiments are carried out by L9 orthogonal array and the results are provided to verify this approach and credible tendencies of output parameters with respect to the input parameters are discussed, from which recommendations are made for process control and optimization.
IRJET-Optimization of Machining Parameters Affecting Metal Removal Rate of Al...IRJET Journal
The document discusses optimizing machining parameters to increase the metal removal rate in dry end milling of aluminum alloy 6082. The machining parameters investigated are spindle speed, feed rate, and depth of cut. Experiments were performed using a Taguchi design of experiments with the parameters tested at three levels. The experimental data was analyzed using Minitab software to identify the most significant factor affecting metal removal rate. The goal is to determine the optimal settings of the machining parameters to maximize productivity during end milling of aluminum alloy 6082.
Milling machining GFRP composites using grey relational analysis and the resp...IRJET Journal
This document summarizes research on optimizing the milling machining process for glass fiber reinforced polymer (GFRP) composites. The researchers used a Taguchi experimental design and Grey Relational Analysis (GRA) to determine the optimal machining parameters that minimize machining force and surface roughness. Their results showed that at optimal levels for spindle speed, feed rate, depth of cut, and cutting tool type, machining force decreased from 17.19N to 15.92N and surface roughness improved. Analysis of variance found that cutting tool type had the greatest influence on machining force. The researchers concluded that Taguchi and GRA methods can effectively optimize composite machining outcomes.
IRJET- Multi-Objective Optimization of WEDM Process Parameters of Ti-Ni S...IRJET Journal
The document discusses optimization of wire electrical discharge machining (WEDM) process parameters for machining titanium-nickel (Ti-Ni) shape memory alloy for biomedical applications. Eighteen experiments were conducted using Taguchi's L18 orthogonal array to evaluate the effects of five process parameters (pulse on time, pulse off time, servo voltage, wire feed, and wire tension) on material removal rate, surface roughness, and dimensional deviation as response variables. Grey relational analysis was used to determine the optimal parameter set that offers the maximum material removal rate and minimum surface roughness and dimensional deviation. Pulse on time was found to be the most influential parameter based on analysis of variance.
Parametric Optimization of Graphite Plate by WEDMIRJET Journal
This document summarizes a study that used the Taguchi method to optimize the wire electrical discharge machining (WEDM) process parameters for machining graphite plates. Experiments were conducted using a WEDM machine to cut graphite plates with a 0.25mm brass wire. The process parameters investigated were current, pulse on time, pulse off time, and wire tension at three levels each based on an L9 orthogonal array design of experiments. Responses measured were material removal rate and surface roughness. Analysis of variance and signal-to-noise ratio graphs identified optimal parameters as 5A current, 5μs pulse on time, 25μs pulse off time, and 10gm wire tension for maximum material removal rate, and
IRJET- Optimization of Machining Parameters for Turning on CNC Machine of Sta...IRJET Journal
This document discusses an experimental investigation into optimizing machining parameters for turning stainless steel 316 on a CNC machine. Taguchi methods were used to determine the optimal levels for cutting speed, feed rate, and depth of cut. Eighteen experiments were conducted using an L18 orthogonal array with different combinations of the parameters. The results found that depth of cut and feed rate significantly affected material removal rate and surface roughness, while cutting speed did not have a significant impact. Analysis of variance (ANOVA) identified depth of cut as the most influential factor. Optimization found the maximum material removal rate occurred at high cutting speeds, low feed rates, and high depth of cuts.
Optimization of Cutting Parameters for Surface Roughness and MRR in CNC Turni...IRJET Journal
This document summarizes an experiment that optimized cutting parameters for surface roughness and material removal rate (MRR) in CNC turning of 16MnCr5 steel. The experiment used a Taguchi design of experiments with cutting speed, feed rate, and depth of cut as parameters. An L9 orthogonal array was used to test combinations of the parameters at three levels each. The experiments measured surface roughness and MRR, which were analyzed using signal-to-noise ratios to determine the optimal settings for each response. Analysis of variance was also used to determine the effect of each parameter. The results showed that depth of cut had the highest effect on surface roughness, while feed rate had the lowest effect.
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.
Modeling of Morphology and Deflection Analysis of Copper AlloysIRJET Journal
This document discusses modeling the morphology and deflection analysis of copper alloys during thin wall machining. It presents an experimental investigation to determine optimal cutting conditions for machining thin walls of copper plates. The experiments used Taguchi methods to analyze the impact of cutting speed, feed rate, and depth of cut on surface roughness and part deflection. Analysis of variance (ANOVA) was then used to determine the correlation between these output responses and the cutting parameters, identifying the optimum conditions for thin wall machining of copper. The results showed that with appropriate process parameters, it is possible to end mill thin walls in copper as thin as 0.5mm with an aspect ratio of 48 and achieve a good surface finish and minimal deflection.
Effectiveness of multilayer coated tool in turning of aisi 430 f steeleSAT Journals
Abstract This paper presents minimization of surface roughness in dry turning of AISI 430F steel using TiN-TiCN-Al2O3-ZrCN multilayer coated cemented carbide & cryo-treated inserts. Effect of cutting velocity, feed rate, depth of cut & machining duration is studied on the surface roughness. Taguchi’s design of experiment is used to find the optimum factor levels. It is found that the feed rate has much effect in producing lower surface roughness followed by speed. The depth of cut has lesser role on surface roughness. The result of Taguchi method shows that cutting velocity of 250m/min, feed rate of 0.25 mm/rev and depth of cut of 0.3mm should be maintained as optimal parameter settings for both coated and cryo-treated tools. Cryo-treated tools perform better. Keywords: Cryo-treatment, Dry Turning, Surface roughness, Taguchi Method
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.
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.
The document experimentally investigates the material removal rate (MRR) and tool wear in turning hardened AISI 52100 steel using the Taguchi technique. Experiments were conducted using different cutting speeds, feed rates, and depths of cut based on an L9 orthogonal array. The results were analyzed using signal-to-noise ratios and ANOVA to determine the optimal process parameters for maximizing MRR and minimizing tool wear. The analysis found that cutting speed had the greatest influence on MRR, followed by depth of cut and feed rate. The optimal parameters for MRR were a cutting speed of 1120 rpm, feed rate of 0.12 mm/rev, and depth of cut of 0.4 mm.
IRJET-A Review on Current Research Trends in Abrasive Water Jet MachiningIRJET Journal
This document provides a review of current research trends in abrasive water jet machining (AWJM). It begins with an introduction to AWJM, describing how it uses a high-pressure water jet mixed with abrasive particles to cut hard and brittle materials. The document then reviews research on using AWJM to machine various materials, including advanced composites, granites/marbles, advanced ceramics, glass, and alloys. It discusses how researchers have investigated the effects of varying process parameters on output measures like material removal rate, surface roughness, and kerf geometry. Finally, it identifies two major areas of AWJM research: process modeling and optimization, and process monitoring and control.
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.
Estimation Of Optimum Dilution In The GMAW Process Using Integrated ANN-SAIJRES Journal
This document presents a study that aimed to optimize process parameters in gas metal arc welding (GMAW) cladding to achieve optimum dilution. Experiments were conducted using a central composite design to develop mathematical models relating welding current, speed, angle, contact tip distance, and pinch to clad bead geometry responses like width, penetration, reinforcement, and dilution percentage. Artificial neural networks and simulated annealing algorithms were then integrated (ANN-SA) to estimate optimal parameters to minimize dilution. The developed models were checked for adequacy and significance. The study aimed to improve corrosion resistance in carbon steel by depositing a corrosion-resistant stainless steel clad layer with minimum dilution.
Study of Influence of Tool Nose Radius on Surface Roughness and Material Remo...IRJET Journal
This document presents an experimental study that investigates the effects of cutting speed, feed rate, depth of cut, and tool nose radius on surface roughness and material removal rate during turning of Inconel 718. An L9 orthogonal array was used to design experiments with the four machining parameters each set at three levels. Turning experiments were conducted on a CNC lathe using different carbide inserts with nose radii of 0.4mm, 0.8mm, and 1.2mm. Surface roughness was measured and material removal rate was calculated for each experiment. Signal-to-noise ratios were determined using Taguchi's smaller-the-better and larger-the-better approaches for surface roughness and material removal rate respectively
Optimization of Machining Parameters Affecting Surface Roughness of Al6082 in...IRJET Journal
The document discusses optimizing machining parameters to minimize surface roughness in dry end milling of Al6082 aluminum alloy. It reviews previous research, describes the experimental setup using Taguchi methods, and reports results from 27 experiments with varying spindle speed, feed rate, and depth of cut. Analysis found that feed rate had the greatest influence on surface roughness, with higher feed rates increasing roughness. The optimal parameters to minimize roughness were determined.
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 discusses assessing cutting fluid as a key parameter in evaluating surface finish for CNC turning operations. It begins with an abstract that outlines exploring tool-workpiece combinations of HCHCr material with cemented carbide and CBN tools. Statistical analysis methods like ANOVA, DOE and regression will be used to identify optimal machining parameters. Experimental validation will then be conducted to evaluate the determined parameters. A literature review covers previous research on optimizing surface roughness in turning. The problem statement identifies that variation in speed, feed, depth of cut and coolant type influence material removal rate and surface roughness. The objectives are to determine optimal values for these parameters to achieve desired surface finish with satisfactory material removal. The methodology will use analytical and physical
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
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Abrasive Waterjet (AWJ) cutting has proven to be an effective technology for material processing with the distinct advantages of no thermal distortion, high machining versatility, high flexibility and small cutting forces. In this paper, Taguchi robust design analysis is employed to determine optimal combination of process parameters. The Analysis of Variance (ANOVA) is also applied to identify the most significant factor. The process parameters such as pressure, transverse speed, stand of distance and abrasive flow rate are optimized to investigate their influence on Metal Removal Rate (MRR) and Surface Roughness (Ra) of Inconel. Experiments are carried out by L9 orthogonal array and the results are provided to verify this approach and credible tendencies of output parameters with respect to the input parameters are discussed, from which recommendations are made for process control and optimization.
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This document summarizes research on optimizing the milling machining process for glass fiber reinforced polymer (GFRP) composites. The researchers used a Taguchi experimental design and Grey Relational Analysis (GRA) to determine the optimal machining parameters that minimize machining force and surface roughness. Their results showed that at optimal levels for spindle speed, feed rate, depth of cut, and cutting tool type, machining force decreased from 17.19N to 15.92N and surface roughness improved. Analysis of variance found that cutting tool type had the greatest influence on machining force. The researchers concluded that Taguchi and GRA methods can effectively optimize composite machining outcomes.
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The document discusses optimization of wire electrical discharge machining (WEDM) process parameters for machining titanium-nickel (Ti-Ni) shape memory alloy for biomedical applications. Eighteen experiments were conducted using Taguchi's L18 orthogonal array to evaluate the effects of five process parameters (pulse on time, pulse off time, servo voltage, wire feed, and wire tension) on material removal rate, surface roughness, and dimensional deviation as response variables. Grey relational analysis was used to determine the optimal parameter set that offers the maximum material removal rate and minimum surface roughness and dimensional deviation. Pulse on time was found to be the most influential parameter based on analysis of variance.
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This document summarizes a study that used the Taguchi method to optimize the wire electrical discharge machining (WEDM) process parameters for machining graphite plates. Experiments were conducted using a WEDM machine to cut graphite plates with a 0.25mm brass wire. The process parameters investigated were current, pulse on time, pulse off time, and wire tension at three levels each based on an L9 orthogonal array design of experiments. Responses measured were material removal rate and surface roughness. Analysis of variance and signal-to-noise ratio graphs identified optimal parameters as 5A current, 5μs pulse on time, 25μs pulse off time, and 10gm wire tension for maximum material removal rate, and
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This document discusses an experimental investigation into optimizing machining parameters for turning stainless steel 316 on a CNC machine. Taguchi methods were used to determine the optimal levels for cutting speed, feed rate, and depth of cut. Eighteen experiments were conducted using an L18 orthogonal array with different combinations of the parameters. The results found that depth of cut and feed rate significantly affected material removal rate and surface roughness, while cutting speed did not have a significant impact. Analysis of variance (ANOVA) identified depth of cut as the most influential factor. Optimization found the maximum material removal rate occurred at high cutting speeds, low feed rates, and high depth of cuts.
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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.
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This document discusses modeling the morphology and deflection analysis of copper alloys during thin wall machining. It presents an experimental investigation to determine optimal cutting conditions for machining thin walls of copper plates. The experiments used Taguchi methods to analyze the impact of cutting speed, feed rate, and depth of cut on surface roughness and part deflection. Analysis of variance (ANOVA) was then used to determine the correlation between these output responses and the cutting parameters, identifying the optimum conditions for thin wall machining of copper. The results showed that with appropriate process parameters, it is possible to end mill thin walls in copper as thin as 0.5mm with an aspect ratio of 48 and achieve a good surface finish and minimal deflection.
Effectiveness of multilayer coated tool in turning of aisi 430 f steeleSAT Journals
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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.
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.
The document experimentally investigates the material removal rate (MRR) and tool wear in turning hardened AISI 52100 steel using the Taguchi technique. Experiments were conducted using different cutting speeds, feed rates, and depths of cut based on an L9 orthogonal array. The results were analyzed using signal-to-noise ratios and ANOVA to determine the optimal process parameters for maximizing MRR and minimizing tool wear. The analysis found that cutting speed had the greatest influence on MRR, followed by depth of cut and feed rate. The optimal parameters for MRR were a cutting speed of 1120 rpm, feed rate of 0.12 mm/rev, and depth of cut of 0.4 mm.
IRJET-A Review on Current Research Trends in Abrasive Water Jet MachiningIRJET Journal
This document provides a review of current research trends in abrasive water jet machining (AWJM). It begins with an introduction to AWJM, describing how it uses a high-pressure water jet mixed with abrasive particles to cut hard and brittle materials. The document then reviews research on using AWJM to machine various materials, including advanced composites, granites/marbles, advanced ceramics, glass, and alloys. It discusses how researchers have investigated the effects of varying process parameters on output measures like material removal rate, surface roughness, and kerf geometry. Finally, it identifies two major areas of AWJM research: process modeling and optimization, and process monitoring and control.
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.
Estimation Of Optimum Dilution In The GMAW Process Using Integrated ANN-SAIJRES Journal
This document presents a study that aimed to optimize process parameters in gas metal arc welding (GMAW) cladding to achieve optimum dilution. Experiments were conducted using a central composite design to develop mathematical models relating welding current, speed, angle, contact tip distance, and pinch to clad bead geometry responses like width, penetration, reinforcement, and dilution percentage. Artificial neural networks and simulated annealing algorithms were then integrated (ANN-SA) to estimate optimal parameters to minimize dilution. The developed models were checked for adequacy and significance. The study aimed to improve corrosion resistance in carbon steel by depositing a corrosion-resistant stainless steel clad layer with minimum dilution.
Study of Influence of Tool Nose Radius on Surface Roughness and Material Remo...IRJET Journal
This document presents an experimental study that investigates the effects of cutting speed, feed rate, depth of cut, and tool nose radius on surface roughness and material removal rate during turning of Inconel 718. An L9 orthogonal array was used to design experiments with the four machining parameters each set at three levels. Turning experiments were conducted on a CNC lathe using different carbide inserts with nose radii of 0.4mm, 0.8mm, and 1.2mm. Surface roughness was measured and material removal rate was calculated for each experiment. Signal-to-noise ratios were determined using Taguchi's smaller-the-better and larger-the-better approaches for surface roughness and material removal rate respectively
Optimization of Machining Parameters Affecting Surface Roughness of Al6082 in...IRJET Journal
The document discusses optimizing machining parameters to minimize surface roughness in dry end milling of Al6082 aluminum alloy. It reviews previous research, describes the experimental setup using Taguchi methods, and reports results from 27 experiments with varying spindle speed, feed rate, and depth of cut. Analysis found that feed rate had the greatest influence on surface roughness, with higher feed rates increasing roughness. The optimal parameters to minimize roughness were determined.
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 discusses assessing cutting fluid as a key parameter in evaluating surface finish for CNC turning operations. It begins with an abstract that outlines exploring tool-workpiece combinations of HCHCr material with cemented carbide and CBN tools. Statistical analysis methods like ANOVA, DOE and regression will be used to identify optimal machining parameters. Experimental validation will then be conducted to evaluate the determined parameters. A literature review covers previous research on optimizing surface roughness in turning. The problem statement identifies that variation in speed, feed, depth of cut and coolant type influence material removal rate and surface roughness. The objectives are to determine optimal values for these parameters to achieve desired surface finish with satisfactory material removal. The methodology will use analytical and physical
Similar to EXPERIMENTAL ANALYSIS OF ABRASIVE WATER JET MACHINING ON INCONEL 718 USING RESPONSE SURFACE METHOD (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.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
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.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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.