This document summarizes research on plasma arc machining (PAM), a thermal cutting process that uses a high-temperature plasma arc to cut electrically conductive materials. It discusses how PAM works by partially ionizing gas to create plasma at high temperatures. The document reviews several studies that investigated the effects of PAM processing parameters like cutting speed, power, height, and gas pressure on quality characteristics such as kerf angle, edge roughness, and heat-affected zone. It finds that surface roughness and kerf angle are mainly influenced by cutting height, while heat-affected zone depends more on cutting current. The review aims to provide an understanding of PAM and the parameters that impact cut quality.
This document discusses optimizing process parameters for plasma arc cutting of stainless steel. 30 experiments were conducted varying feed rate, current, voltage, and torch height. Responses like kerf, chamfer, dross, surface roughness, and material removal rate were measured. The experimental data was analyzed using response surface methodology, grey relational analysis, and principal component analysis to develop models relating the responses to the parameters. The results showed that the process parameters significantly affected the grey relational grade and interactions between parameters were also important. This hybrid optimization method provided an effective way to optimize plasma arc cutting for improved cut quality and precision.
A Review on Optimization of Cutting Parameters for Improvement of Surface Rou...IRJET Journal
This document summarizes a study that used the Taguchi method and Grey Taguchi approach to optimize cutting parameters for improving surface roughness and tool life during low carbon steel turning. The study used an L27 orthogonal array to experiment with cutting speed, feed rate, depth of cut, and corner radius. Surface roughness and flank wear were evaluated as output parameters. Analysis of variance found that cutting speed most significantly affects surface roughness and flank wear, followed by depth of cut, feed rate, and corner radius. The optimized parameters were determined to be a cutting speed of 325m/min, feed rate of 0.1 mm/rev, depth of cut of 0.25mm, and corner radius of 0.8mm.
A review on Parametric Optimization of Submerged arc welding processIJSRD
Submerged arc welding is preferable more its inherent qualities such as Higher deposition rate, deeper penetration, control of variables, high quality, smooth finish. The bead geometry shows the quality of weld which is depends on input process parameters. The present work gives review of the effect of these Input parameters on weld bead geometry. Selection of process parameters has great influence on the quality of a welded connection. To automate a welding process, which is the present trend in any fabrication industry. It is also important that mathematical models have to be developed to relate the process variables to the weld bead parameters. All the welding processes are used with the aim of getting a welded joint with the desires weld bead geometry and excellent mechanical properties with a efficient quality welded joint at a relatively low cost with high productivity. Optimization designs concentrate on only one or two parameters, but in very more depth to gain a precise understanding of relationships between parameters.
Gray Relational Basedanalysis of Tool SteelIRJET Journal
This document presents research on optimizing the electro discharge machining (EDM) process for tool steel using Taguchi methods and grey relational analysis. The researchers conducted experiments with tool steel as the workpiece material and copper as the electrode. Response variables included material removal rate (MRR) and surface roughness (Ra). Taguchi methods were used to design the experiments and orthogonal arrays. Grey relational analysis was then used to analyze the multiple responses and determine the optimal process parameters. The analysis involved normalizing the experimental data, calculating grey relational coefficients and grades, and analyzing the results using ANOVA to select parameters that maximize MRR and minimize Ra.
This document reviews research on optimizing process parameters for sheet metal forming operations using statistical tools. It discusses how parameters like blank holding pressure and material thickness can be evaluated at different levels to minimize defects like wrinkles, tearing and thinning. Data collected during experiments will undergo statistical analysis using ANOVA and Taguchi methods to arrive at an optimized solution. Previous studies that analyzed various process parameters to optimize objectives are summarized. The document aims to determine significant parameters that can render defect-free parts when set to recommended values.
The document describes an experiment to optimize cutting parameters during CNC turning of AISI 8620 alloy steel using response surface methodology. Speed, feed rate, and depth of cut were varied as factors in a 3-level factorial design. The response variable was surface roughness, which was measured after each experimental run. Regression analysis in Minitab was used to develop a model relating the factors to surface roughness. Response optimization was then used to determine the optimal settings of the factors to minimize surface roughness. The goal of the experiment was to evaluate the best cutting parameter settings for achieving a smooth surface finish during CNC turning of AISI 8620 alloy steel.
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.
Evaluation the Effect of Machining Parameters on MRR of Mild SteelIJSRD
Turning metal removal is the removal of metal outside diameter of a rotating cylindrical workpiece. As it is used to reduce the diameter. of the work piece generally to a specified dimension and to produce a smooth finish on the metal. Often, the work piece is turned so that the sections have different diameters. As is the machining operation that produces cylindrical. In its basic form, it can be defined as an outer surface machining: Based on the findings of the Pilot study, actual experimentation work will be designed and input machining parameters and their values finalized. The results are expected to show that the response variables (output parameters) strongly influenced by the control factors (input parameters). So, the results which are obtained after experimentation analyzed and modeled for their application in manufacturing industry It is concluded that for MRR be maximum factor Cutting speed has to be at high level 3, Feed has to be at high level & D.O.C has to be at high level.
This document discusses optimizing process parameters for plasma arc cutting of stainless steel. 30 experiments were conducted varying feed rate, current, voltage, and torch height. Responses like kerf, chamfer, dross, surface roughness, and material removal rate were measured. The experimental data was analyzed using response surface methodology, grey relational analysis, and principal component analysis to develop models relating the responses to the parameters. The results showed that the process parameters significantly affected the grey relational grade and interactions between parameters were also important. This hybrid optimization method provided an effective way to optimize plasma arc cutting for improved cut quality and precision.
A Review on Optimization of Cutting Parameters for Improvement of Surface Rou...IRJET Journal
This document summarizes a study that used the Taguchi method and Grey Taguchi approach to optimize cutting parameters for improving surface roughness and tool life during low carbon steel turning. The study used an L27 orthogonal array to experiment with cutting speed, feed rate, depth of cut, and corner radius. Surface roughness and flank wear were evaluated as output parameters. Analysis of variance found that cutting speed most significantly affects surface roughness and flank wear, followed by depth of cut, feed rate, and corner radius. The optimized parameters were determined to be a cutting speed of 325m/min, feed rate of 0.1 mm/rev, depth of cut of 0.25mm, and corner radius of 0.8mm.
A review on Parametric Optimization of Submerged arc welding processIJSRD
Submerged arc welding is preferable more its inherent qualities such as Higher deposition rate, deeper penetration, control of variables, high quality, smooth finish. The bead geometry shows the quality of weld which is depends on input process parameters. The present work gives review of the effect of these Input parameters on weld bead geometry. Selection of process parameters has great influence on the quality of a welded connection. To automate a welding process, which is the present trend in any fabrication industry. It is also important that mathematical models have to be developed to relate the process variables to the weld bead parameters. All the welding processes are used with the aim of getting a welded joint with the desires weld bead geometry and excellent mechanical properties with a efficient quality welded joint at a relatively low cost with high productivity. Optimization designs concentrate on only one or two parameters, but in very more depth to gain a precise understanding of relationships between parameters.
Gray Relational Basedanalysis of Tool SteelIRJET Journal
This document presents research on optimizing the electro discharge machining (EDM) process for tool steel using Taguchi methods and grey relational analysis. The researchers conducted experiments with tool steel as the workpiece material and copper as the electrode. Response variables included material removal rate (MRR) and surface roughness (Ra). Taguchi methods were used to design the experiments and orthogonal arrays. Grey relational analysis was then used to analyze the multiple responses and determine the optimal process parameters. The analysis involved normalizing the experimental data, calculating grey relational coefficients and grades, and analyzing the results using ANOVA to select parameters that maximize MRR and minimize Ra.
This document reviews research on optimizing process parameters for sheet metal forming operations using statistical tools. It discusses how parameters like blank holding pressure and material thickness can be evaluated at different levels to minimize defects like wrinkles, tearing and thinning. Data collected during experiments will undergo statistical analysis using ANOVA and Taguchi methods to arrive at an optimized solution. Previous studies that analyzed various process parameters to optimize objectives are summarized. The document aims to determine significant parameters that can render defect-free parts when set to recommended values.
The document describes an experiment to optimize cutting parameters during CNC turning of AISI 8620 alloy steel using response surface methodology. Speed, feed rate, and depth of cut were varied as factors in a 3-level factorial design. The response variable was surface roughness, which was measured after each experimental run. Regression analysis in Minitab was used to develop a model relating the factors to surface roughness. Response optimization was then used to determine the optimal settings of the factors to minimize surface roughness. The goal of the experiment was to evaluate the best cutting parameter settings for achieving a smooth surface finish during CNC turning of AISI 8620 alloy steel.
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.
Evaluation the Effect of Machining Parameters on MRR of Mild SteelIJSRD
Turning metal removal is the removal of metal outside diameter of a rotating cylindrical workpiece. As it is used to reduce the diameter. of the work piece generally to a specified dimension and to produce a smooth finish on the metal. Often, the work piece is turned so that the sections have different diameters. As is the machining operation that produces cylindrical. In its basic form, it can be defined as an outer surface machining: Based on the findings of the Pilot study, actual experimentation work will be designed and input machining parameters and their values finalized. The results are expected to show that the response variables (output parameters) strongly influenced by the control factors (input parameters). So, the results which are obtained after experimentation analyzed and modeled for their application in manufacturing industry It is concluded that for MRR be maximum factor Cutting speed has to be at high level 3, Feed has to be at high level & D.O.C has to be at high level.
This document summarizes an experimental study that optimized machining parameters for cryogenic turning of AISI 4340 steel to minimize surface roughness. The researchers used Taguchi's design of experiments methodology to test cutting speed, feed rate, depth of cut, and rake angle parameters. Analysis showed cutting speed and depth of cut most influenced surface roughness. Validation experiments confirmed the optimal parameters achieved the predicted minimum surface roughness, demonstrating cryogenic machining's ability to improve surface finish.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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 summarizes a study that optimized cutting parameters and the grinding process for surface roughness using the Taguchi method and computational fluid dynamics (CFD) analysis. The study aimed to achieve a good surface finish by optimizing parameters like cutting fluid, wheel speed, workpiece speed, depth of cut, grinding wheel grades, and material hardness. CFD analysis was used to simulate the grinding process and analyze temperature, pressure, velocity, and coolant flow distributions. The Taguchi method was employed to investigate the effects of parameters on surface roughness and find the optimum parameters. The results showed that coolant flow rate and table speed had significant effects on surface roughness, while depth of cut had a lower effect.
The quality of the machined piece and tool life are greatly influenced by determination of
maximum temperature of the cutting tool. Numerous researchers have approached to solve this problem
with experimental, analytical and numerical analysis. There is hardly a consensus on the basics principles
of the thermal problem in metal cutting, even though considerable research effort has been made on it. It is
exceedingly difficult to predict in a precise manner the performance of tool for the machining process. This
paper reviews work on the requirements for optimization of Tool wear so that its life could easily be
predicted
Finite Element Analysis of Single Point Cutting ToolIRJET Journal
This document presents a finite element analysis of a single point cutting tool. Experimental measurements were taken of the temperature at the tool tip during machining operations at different cutting speeds and depths of cut. The tool-work thermocouple technique was used to measure the temperature. Finite element modeling and analysis was performed on a single point cutting tool modeled in CATIA and analyzed in ANSYS. Both analytical calculations and finite element analysis were used to determine stresses on the cutting tool. The results found that temperature and stresses at the tool tip increased with increasing cutting speed and depth of cut. Stresses from finite element analysis matched closely with those calculated analytically.
Effect of process factors on surface roughness in dip cryogenic machining of ...eSAT Journals
Abstract A large number of structures that are being constructed at present tend to be wind-sensitive because of their slenderness, shapes, size, lightness and flexibility. With the ever increase in the vertical growth of urban cities, high rise buildings are being constructed in large numbers. In this study, analytical investigation of different shapes of buildings are taken as an example and various analytical approaches are performed on the building. These plans are modeled and wind loads are found out according to I.S 875(part 3)-1987 by taking gust factor and without taking gust factor. These models are compared in different aspects such as storey drift, storey displacement, storey shear, etc. for different shapes of buildings by using finite element software package ETAB’s 13.1.1v. Among these results, which shape of building provide sound wind loading to the structure as well as the structural efficiency would be selected. Key Words: Storey displacement, Storey drift, Storey shear, Gust, Wind load
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.
OPTIMIZATION OF TURNING PROCESS PARAMETER IN DRY TURNING OF SAE52100 STEELIAEME Publication
This document summarizes an experiment to optimize surface roughness and material removal rate during dry turning of SAE52100 steel. The experiment varied cutting speed, feed rate, and depth of cut using a Taguchi L9 orthogonal array. Surface roughness increased with increasing feed rate and decreasing cutting speed. Material removal rate models were developed that showed it increases with cutting speed and depth of cut but decreases with feed rate. Analysis found feed rate has the greatest influence on surface roughness, while depth of cut most influences material removal rate. The goal of the experiment was to determine optimal machining parameters that minimize surface roughness and maximize material removal rate and productivity during dry turning of SAE52100 steel.
IRJET- Parametric Optimization of Stainless Steel 304 for MIG Welding by usin...IRJET Journal
This document discusses optimizing parameters for MIG welding of stainless steel 304 using Taguchi's method. It investigates the effects of welding current, stickout length, and gas flow rate on weld hardness and tensile strength. Experiments are conducted using an L9 orthogonal array to test various parameter levels. Hardness and tensile strength values are measured and signal-to-noise ratios calculated to determine the optimal levels. Analysis of variance is performed to determine each parameter's contribution to the results. The gas flow rate is found to most influence hardness while current and stickout length have less effect.
Prediction of Surface Roughness and Optimization of Machining Parameters in D...ijtsrd
In this paper, an experimental research was conducted to investigate the influence of the tool diameter, spindle speed, and feed rate on the surface roughness in hole drilling process. The Box Behken experimental matrix that was used with 15 experiments. The Minitab 16 software was used to evaluate the experimental results. The analyzed results showed that the spindle speed was a parameter that has the most important influence on the surface roughness. The second factors that affect on the surface roughness was tool diameter. And, the feed rate was the factor that has smallest effect on the surface roughness. The interaction factor between the tool diameter and the feed rate has the largest degree of the influence on the surface roughness, the second interaction factor that influenced on the surface roughness was the interaction between the diamter and the spindle speed. The interaction between the spindle speed and the feed rate has the smallest effect on the surface roughness. The suitable regression model of surface roughness is quadractic function. The predicted results of surface roughness are very close to the experimental values of that one. The genetic algorithm was used to find the optimal value of surface roughness. In this study, the optimum value of surface roughness was obtained for each case of drill tool diameter. The optimized cutting parameters was applied to improve the surface roughness with very satisfactory results. The optimum value of surface was quite small. Nguyen Hong Son | Nhu-Tung Nguyen "Prediction of Surface Roughness and Optimization of Machining Parameters in Drilling Process of Aluminum Alloy Al6061" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30193.pdf Paper Url :https://www.ijtsrd.com/engineering/mechanical-engineering/30193/prediction-of-surface-roughness-and-optimization-of-machining-parameters-in-drilling-process-of-aluminum-alloy-al6061/nguyen-hong-son
critique and summary on (1) high speed machining (2) additive manufacturing (...shanjakhrani
This document contains 16 summaries of research papers related to advanced manufacturing systems. The papers cover topics such as high speed machining, sheet metal forming processes, additive manufacturing, and functionally graded materials. Key areas of focus in the critiques include limited analysis of process parameters, material properties, defects, economic considerations, and opportunities for further research.
This document reviews various welding techniques. It begins by introducing welding as a process for joining materials like metals through melting and discusses some common welding techniques like shielded metal arc welding, gas tungsten arc welding, gas metal arc welding, and flux-cored arc welding. The document then reviews literature on optimizing welding parameters and their effects on weld properties. Specifically, it looks at research optimizing parameters for gas metal arc welding, gas tungsten arc welding and submerged arc welding. The document describes the methodology for conducting experiments on gas metal arc welding and gas tungsten arc welding of austenitic stainless steel to analyze properties like hardness, strength and corrosion resistance under varied welding conditions.
The document outlines a proposed M.Sc. thesis on analyzing surface roughness in face milling processes using minimum quantity lubrication with nanofluids. The proposal includes sections on the problem statement, aim and objectives, literature review, research methodology, expected results, work schedule, budget, and references. The research aims to investigate the effects of nanofluids and other milling parameters on surface roughness and temperature. The methodology involves designing experiments, selecting materials and tools, testing samples, and analyzing results using statistical techniques. The expected outcomes are models to minimize temperature and surface roughness by controlling process parameters.
Study of machinability of high carbon high chromium steel using various cutti...AMIT BANERJEE
The document discusses research being conducted on studying the machinability of high carbon high chromium steel using various cutting tools. The objective is to determine the optimum process parameters of cutting velocity, feed rate, and depth of cut for minimum surface roughness and power consumption. Literature on previous research in machining hardened steel is reviewed. The current progress includes partially completing the literature review, purchasing the work material, and programming the CNC machine. Future work involves insert selection, material composition testing, and conducting the experimental machining tests. Response surface methodology will be used to analyze the results.
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.
IRJET- Investigation on Metal Removal Rate by Changing Various Parameters Lik...IRJET Journal
This document investigates the effect of changing machining parameters like RPM, feed rate, and depth of cut on the material removal rate when turning mild steel. An experiment was conducted using a Taguchi L9 orthogonal array to test different parameter combinations. The results show that material removal rate increases with increases in RPM, feed rate, and depth of cut up to a point, after which further increases can damage the material and tool. An optimal combination is needed to maximize productivity while maintaining quality. The conclusions determine the best parameter ranges for improving efficiency in turning mild steel.
Optimising drilling parameters of gfrp by using grey relational analysiseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
IRJET- A Review on: Parametric Study for Optimization of CNC Turning Process ...IRJET Journal
This document reviews research on optimizing CNC turning process parameters to minimize surface roughness. It summarizes 10 research papers that studied the effects of cutting speed, feed rate, depth of cut, cutting tool type, and cooling conditions on surface roughness when turning various materials like steel, aluminum, and titanium. The document finds that feed rate typically has the largest effect on surface roughness, followed by cutting speed, while depth of cut has a smaller impact. It recommends using techniques like Taguchi methods, response surface methodology, and ANOVA to determine the optimal process parameters that achieve the minimum possible surface roughness.
IRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die BendingIRJET Journal
This document presents an experimental study on the spring back phenomenon in sheet metal V-die bending. The study investigates how factors like angle, sheet thickness, and varying width cross-section affect the amount of spring back that occurs in CRC-D steel sheets. Experiments were conducted using a design of experiments approach based on response surface methodology. 20 bending experiments were performed according to the experimental design matrix. The results show that spring back decreases with increasing angle and first increases then decreases with increasing thickness. Spring back also increases linearly with increasing width. A regression model was developed to predict spring back based on the experimental results.
Optimization of Cutting Parameters Based on Taugchi Method of AISI316 using C...IRJET Journal
This document summarizes an experiment that optimized cutting parameters for machining austenitic stainless steel AISI 316 on a CNC lathe machine. The experiment used Taguchi methods to design experiments that varied cutting speed, feed rate, and depth of cut. 27 experiments were conducted and surface roughness was measured. Analysis of variance (ANOVA) was used to determine the percentage contribution of each factor on surface roughness. The results showed that feed rate had the maximum effect on surface roughness, while depth of cut had the minimum effect. Cutting speed had the least effect on surface roughness of the workpiece surface.
IRJET- Analysis of Process Parameters of Plasma ARC Cutting using Design of E...IRJET Journal
This document discusses the analysis of process parameters for plasma arc cutting using design of experiments. The study aims to determine the optimum parameter settings to achieve maximum material removal rate (MRR) and minimum surface roughness (Ra). Sixteen experiments were conducted using a Taguchi orthogonal array with four parameters (gas pressure, current, cutting speed, arc gap) each at two levels. Stainless steel samples were cut and the MRR and Ra values measured. ANOVA and other analyses were used to evaluate the effect of each parameter and identify the optimal settings for MRR and Ra.
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
This document summarizes an experimental study that optimized machining parameters for cryogenic turning of AISI 4340 steel to minimize surface roughness. The researchers used Taguchi's design of experiments methodology to test cutting speed, feed rate, depth of cut, and rake angle parameters. Analysis showed cutting speed and depth of cut most influenced surface roughness. Validation experiments confirmed the optimal parameters achieved the predicted minimum surface roughness, demonstrating cryogenic machining's ability to improve surface finish.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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 summarizes a study that optimized cutting parameters and the grinding process for surface roughness using the Taguchi method and computational fluid dynamics (CFD) analysis. The study aimed to achieve a good surface finish by optimizing parameters like cutting fluid, wheel speed, workpiece speed, depth of cut, grinding wheel grades, and material hardness. CFD analysis was used to simulate the grinding process and analyze temperature, pressure, velocity, and coolant flow distributions. The Taguchi method was employed to investigate the effects of parameters on surface roughness and find the optimum parameters. The results showed that coolant flow rate and table speed had significant effects on surface roughness, while depth of cut had a lower effect.
The quality of the machined piece and tool life are greatly influenced by determination of
maximum temperature of the cutting tool. Numerous researchers have approached to solve this problem
with experimental, analytical and numerical analysis. There is hardly a consensus on the basics principles
of the thermal problem in metal cutting, even though considerable research effort has been made on it. It is
exceedingly difficult to predict in a precise manner the performance of tool for the machining process. This
paper reviews work on the requirements for optimization of Tool wear so that its life could easily be
predicted
Finite Element Analysis of Single Point Cutting ToolIRJET Journal
This document presents a finite element analysis of a single point cutting tool. Experimental measurements were taken of the temperature at the tool tip during machining operations at different cutting speeds and depths of cut. The tool-work thermocouple technique was used to measure the temperature. Finite element modeling and analysis was performed on a single point cutting tool modeled in CATIA and analyzed in ANSYS. Both analytical calculations and finite element analysis were used to determine stresses on the cutting tool. The results found that temperature and stresses at the tool tip increased with increasing cutting speed and depth of cut. Stresses from finite element analysis matched closely with those calculated analytically.
Effect of process factors on surface roughness in dip cryogenic machining of ...eSAT Journals
Abstract A large number of structures that are being constructed at present tend to be wind-sensitive because of their slenderness, shapes, size, lightness and flexibility. With the ever increase in the vertical growth of urban cities, high rise buildings are being constructed in large numbers. In this study, analytical investigation of different shapes of buildings are taken as an example and various analytical approaches are performed on the building. These plans are modeled and wind loads are found out according to I.S 875(part 3)-1987 by taking gust factor and without taking gust factor. These models are compared in different aspects such as storey drift, storey displacement, storey shear, etc. for different shapes of buildings by using finite element software package ETAB’s 13.1.1v. Among these results, which shape of building provide sound wind loading to the structure as well as the structural efficiency would be selected. Key Words: Storey displacement, Storey drift, Storey shear, Gust, Wind load
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.
OPTIMIZATION OF TURNING PROCESS PARAMETER IN DRY TURNING OF SAE52100 STEELIAEME Publication
This document summarizes an experiment to optimize surface roughness and material removal rate during dry turning of SAE52100 steel. The experiment varied cutting speed, feed rate, and depth of cut using a Taguchi L9 orthogonal array. Surface roughness increased with increasing feed rate and decreasing cutting speed. Material removal rate models were developed that showed it increases with cutting speed and depth of cut but decreases with feed rate. Analysis found feed rate has the greatest influence on surface roughness, while depth of cut most influences material removal rate. The goal of the experiment was to determine optimal machining parameters that minimize surface roughness and maximize material removal rate and productivity during dry turning of SAE52100 steel.
IRJET- Parametric Optimization of Stainless Steel 304 for MIG Welding by usin...IRJET Journal
This document discusses optimizing parameters for MIG welding of stainless steel 304 using Taguchi's method. It investigates the effects of welding current, stickout length, and gas flow rate on weld hardness and tensile strength. Experiments are conducted using an L9 orthogonal array to test various parameter levels. Hardness and tensile strength values are measured and signal-to-noise ratios calculated to determine the optimal levels. Analysis of variance is performed to determine each parameter's contribution to the results. The gas flow rate is found to most influence hardness while current and stickout length have less effect.
Prediction of Surface Roughness and Optimization of Machining Parameters in D...ijtsrd
In this paper, an experimental research was conducted to investigate the influence of the tool diameter, spindle speed, and feed rate on the surface roughness in hole drilling process. The Box Behken experimental matrix that was used with 15 experiments. The Minitab 16 software was used to evaluate the experimental results. The analyzed results showed that the spindle speed was a parameter that has the most important influence on the surface roughness. The second factors that affect on the surface roughness was tool diameter. And, the feed rate was the factor that has smallest effect on the surface roughness. The interaction factor between the tool diameter and the feed rate has the largest degree of the influence on the surface roughness, the second interaction factor that influenced on the surface roughness was the interaction between the diamter and the spindle speed. The interaction between the spindle speed and the feed rate has the smallest effect on the surface roughness. The suitable regression model of surface roughness is quadractic function. The predicted results of surface roughness are very close to the experimental values of that one. The genetic algorithm was used to find the optimal value of surface roughness. In this study, the optimum value of surface roughness was obtained for each case of drill tool diameter. The optimized cutting parameters was applied to improve the surface roughness with very satisfactory results. The optimum value of surface was quite small. Nguyen Hong Son | Nhu-Tung Nguyen "Prediction of Surface Roughness and Optimization of Machining Parameters in Drilling Process of Aluminum Alloy Al6061" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30193.pdf Paper Url :https://www.ijtsrd.com/engineering/mechanical-engineering/30193/prediction-of-surface-roughness-and-optimization-of-machining-parameters-in-drilling-process-of-aluminum-alloy-al6061/nguyen-hong-son
critique and summary on (1) high speed machining (2) additive manufacturing (...shanjakhrani
This document contains 16 summaries of research papers related to advanced manufacturing systems. The papers cover topics such as high speed machining, sheet metal forming processes, additive manufacturing, and functionally graded materials. Key areas of focus in the critiques include limited analysis of process parameters, material properties, defects, economic considerations, and opportunities for further research.
This document reviews various welding techniques. It begins by introducing welding as a process for joining materials like metals through melting and discusses some common welding techniques like shielded metal arc welding, gas tungsten arc welding, gas metal arc welding, and flux-cored arc welding. The document then reviews literature on optimizing welding parameters and their effects on weld properties. Specifically, it looks at research optimizing parameters for gas metal arc welding, gas tungsten arc welding and submerged arc welding. The document describes the methodology for conducting experiments on gas metal arc welding and gas tungsten arc welding of austenitic stainless steel to analyze properties like hardness, strength and corrosion resistance under varied welding conditions.
The document outlines a proposed M.Sc. thesis on analyzing surface roughness in face milling processes using minimum quantity lubrication with nanofluids. The proposal includes sections on the problem statement, aim and objectives, literature review, research methodology, expected results, work schedule, budget, and references. The research aims to investigate the effects of nanofluids and other milling parameters on surface roughness and temperature. The methodology involves designing experiments, selecting materials and tools, testing samples, and analyzing results using statistical techniques. The expected outcomes are models to minimize temperature and surface roughness by controlling process parameters.
Study of machinability of high carbon high chromium steel using various cutti...AMIT BANERJEE
The document discusses research being conducted on studying the machinability of high carbon high chromium steel using various cutting tools. The objective is to determine the optimum process parameters of cutting velocity, feed rate, and depth of cut for minimum surface roughness and power consumption. Literature on previous research in machining hardened steel is reviewed. The current progress includes partially completing the literature review, purchasing the work material, and programming the CNC machine. Future work involves insert selection, material composition testing, and conducting the experimental machining tests. Response surface methodology will be used to analyze the results.
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.
IRJET- Investigation on Metal Removal Rate by Changing Various Parameters Lik...IRJET Journal
This document investigates the effect of changing machining parameters like RPM, feed rate, and depth of cut on the material removal rate when turning mild steel. An experiment was conducted using a Taguchi L9 orthogonal array to test different parameter combinations. The results show that material removal rate increases with increases in RPM, feed rate, and depth of cut up to a point, after which further increases can damage the material and tool. An optimal combination is needed to maximize productivity while maintaining quality. The conclusions determine the best parameter ranges for improving efficiency in turning mild steel.
Optimising drilling parameters of gfrp by using grey relational analysiseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
IRJET- A Review on: Parametric Study for Optimization of CNC Turning Process ...IRJET Journal
This document reviews research on optimizing CNC turning process parameters to minimize surface roughness. It summarizes 10 research papers that studied the effects of cutting speed, feed rate, depth of cut, cutting tool type, and cooling conditions on surface roughness when turning various materials like steel, aluminum, and titanium. The document finds that feed rate typically has the largest effect on surface roughness, followed by cutting speed, while depth of cut has a smaller impact. It recommends using techniques like Taguchi methods, response surface methodology, and ANOVA to determine the optimal process parameters that achieve the minimum possible surface roughness.
IRJET-Experimental Study on Spring Back Phenomenon in Sheet Metal V- Die BendingIRJET Journal
This document presents an experimental study on the spring back phenomenon in sheet metal V-die bending. The study investigates how factors like angle, sheet thickness, and varying width cross-section affect the amount of spring back that occurs in CRC-D steel sheets. Experiments were conducted using a design of experiments approach based on response surface methodology. 20 bending experiments were performed according to the experimental design matrix. The results show that spring back decreases with increasing angle and first increases then decreases with increasing thickness. Spring back also increases linearly with increasing width. A regression model was developed to predict spring back based on the experimental results.
Optimization of Cutting Parameters Based on Taugchi Method of AISI316 using C...IRJET Journal
This document summarizes an experiment that optimized cutting parameters for machining austenitic stainless steel AISI 316 on a CNC lathe machine. The experiment used Taguchi methods to design experiments that varied cutting speed, feed rate, and depth of cut. 27 experiments were conducted and surface roughness was measured. Analysis of variance (ANOVA) was used to determine the percentage contribution of each factor on surface roughness. The results showed that feed rate had the maximum effect on surface roughness, while depth of cut had the minimum effect. Cutting speed had the least effect on surface roughness of the workpiece surface.
IRJET- Analysis of Process Parameters of Plasma ARC Cutting using Design of E...IRJET Journal
This document discusses the analysis of process parameters for plasma arc cutting using design of experiments. The study aims to determine the optimum parameter settings to achieve maximum material removal rate (MRR) and minimum surface roughness (Ra). Sixteen experiments were conducted using a Taguchi orthogonal array with four parameters (gas pressure, current, cutting speed, arc gap) each at two levels. Stainless steel samples were cut and the MRR and Ra values measured. ANOVA and other analyses were used to evaluate the effect of each parameter and identify the optimal settings for MRR and Ra.
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
This document summarizes research on optimizing surface finish in CNC turning operations. It reviews several studies that investigated the effects of cutting parameters such as speed, feed rate, depth of cut, and cutting fluid on surface roughness when machining materials like steel, aluminum alloys, and super alloys. Statistical methods like the Taguchi method, ANOVA, and grey relational analysis were used to identify optimum cutting conditions and the most influential parameters. The goal of the studies was to determine cutting parameters that produce the lowest surface roughness, maximize material removal rate, and minimize power consumption and cutting time.
Performance of machining parameters on powder metals by using PCBN tool and c...IRJET Journal
This document summarizes a study on the effects of machining parameters on the surface roughness of powder metals machined using PCBN and carbide tools. The study involved conducting milling experiments on powder metal steel, varying spindle speed, feed rate, and depth of cut. Analysis of variance was used to determine the significance of each parameter on surface roughness. The experiments found that increased feed rate improved tool life for PCBN tools, while lower feed rate improved tool life for carbide tools. Cutting speed also significantly impacted tool life, with lower speeds leading to longer tool life. The study provided insight into optimizing cutting conditions to increase tool life when machining powder metals.
Experimental Investigation and Parametric Studies of Surface Roughness Analys...IJMER
The modern machining industries are focused on achieving high quality, in terms of
part/component accuracy, surface finish, high production rate and increase in product life. Surface
roughness of machined components has received serious attention of researchers for many years. It has
been an important design feature and quality measure in machining process. There are a large number of
parameters which affect the surface roughness. The typical controllable parameters for the CNC machines
include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is
surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to
determine the most significant parameter for required output. Many techniques are used for optimization
of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant
parameter.
The present work is therefore in a direction to integrate effect of various parameters which affect
the surface roughness. This paper investigates the parameters affecting the surface roughness and / or
material removal rate with CNC turning process studied by researchers. It also discusses some other
parameters such as cutting force and power consumption in different conditions.
Experimental Investigation and Parametric Studies of Surface Roughness Analy...IJMER
The modern machining industries are focused on achieving high quality, in terms of part/component accuracy, surface finish, high production rate and increase in product life. Surface roughness of machined components has received serious attention of researchers for many years. It has
been an important design feature and quality measure in machining process. There are a large number of
parameters which affect the surface roughness. The typical controllable parameters for the CNC machines
include cutting tool variables, work piece material variables, cutting conditions etc. The desired output is
surface roughness, material removal rate, tool wear, etc. Optimization of machining parameters needs to
determine the most significant parameter for required output. Many techniques are used for optimization
of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant
parameter. The present work is therefore in a direction to integrate effect of various parameters which affect
the surface roughness. This paper investigates the parameters affecting the surface roughness and / or
material removal rate with CNC turning process studied by researchers. It also discusses some other parameters such as cutting force and power consumption in different conditions
Optimization of Laser Welding Parameters: A ReviewIRJET Journal
This document reviews research on optimizing laser welding parameters. It summarizes 10 studies that investigated how varying parameters like laser power, welding speed, focal length, and shielding gas affected weld characteristics for different materials. Most found laser power and welding speed were most significant and that their combination mainly determines weld quality. Optimal parameters depended on the material and goals for responses like weld width, penetration, and strength. The studies used techniques like factorial design of experiments, response surface methodology, and Taguchi methods to optimize parameters and reduce defects for applications like welding steel, titanium alloys, and dissimilar metals.
Process parameter optimization of SLM process and application of Taguchi appr...ijsrd.com
Selective Laser Melting (SLM) is an emerging powder based additive layer manufacturing technology that used to fabricate three-dimensional fully functional parts from metal powders by fusing the material in a layer by layer manner as per a CAD model. The quality of SLM produced parts is significantly affected by various manufacturing parameters of SLM machine. Hence optimization of SLM process parameters is necessary in order to improve the quality of parts. The purpose of this paper is to explore the reviews for various optimization methods used for process parameter optimization of SLM process and application of Taguchi approach. This review of work can be helpful to the other researchers to carry out further work in the same era.
Analysis of Surface Roughness for Cylindrical Stainless Steel Pipe (Ss 3163) ...IRJET Journal
This document discusses using artificial neural networks (ANN) to predict surface roughness in cylindrical stainless steel pipes machined using CNC lathe turning. Surface roughness is an important quality metric that is influenced by machining parameters like cutting speed, feed rate, depth of cut, and tool geometry. The document reviews previous research applying ANN and other methods to model surface roughness. It then describes an experiment using ANN to develop a model relating machining parameters to surface roughness measured from turning 316L stainless steel pipes on a CNC lathe. The results indicate ANN is an effective method for accurately predicting surface roughness based on cutting conditions.
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.
Optimization of Metal Removal Rateon Cylindrical Grinding For Is 319 Brass Us...IJERA Editor
Cylindrical grinding is one of the most important metal cutting processes used extensively in the Metal finishing operations. Metal removal rate and surface finish are the important output responses in the production with respect to quantity and quality respectively. The objective of this paper is to arrive at the optimal grinding conditions that will maximize metal removal rate when grinding IS 319 brass. Empirical models were developed using design of experiments by Taguchi L9 Orthogonal Array and the adequacy of the developed model is tested with ANOVA.
SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESSIAEME Publication
Spring back is one of the most significant phenomenon that affect the accurateness of the sheet metal parts. In order to obtain fixed tolerances for the formed parts it is highly recommended to use such process parameters/tool geometry that allow a considerably diminishing of the spring back amount. A Finite Element (FE) model is developed for the 2- D numerical simulation of sheet metal deep drawing process (Parametric Analysis) by using HYPERFORM with the appropriate material properties (anisotropic material) and simplifies boundary conditions
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.
Optimization of Surface Roughness for EN 1010 Low Alloy Steel on WEDM Using R...IJAEMSJORNAL
This document describes research into optimizing the surface roughness of EN 1010 low alloy steel using wire electrical discharge machining (WEDM). Experiments were conducted using a central composite design to investigate the effects of four process parameters (pulse on time, pulse off time, peak current, and servo voltage) on surface roughness. Analysis of variance was used to identify significant parameters and develop a mathematical model relating the parameters to surface roughness. The model achieved a good fit to the data and can be used to determine the optimal parameter settings that minimize surface roughness.
Experimental Analysis on TIG welding process parameters of SS304 By Using Tag...IRJET Journal
The document presents an experimental analysis of TIG welding process parameters on SS304 stainless steel. The study uses a Taguchi design of experiments with welding current and gas flow rate as factors. 16 experiments were conducted varying the parameters at 4 levels each to measure the effect on front width and back width of the weld bead. Results show that higher welding current and lower gas flow rate produce maximum front width, while higher current and intermediate gas flow produce maximum back width. Analysis of variance indicates welding current has a greater effect on bead geometry than gas flow rate. The study aims to optimize the TIG welding parameters to achieve desired weld geometry.
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.
A review on effect of various parameters on cutting tool in orthogonal metal ...eSAT Journals
Abstract
In recent years there is great progress in the field of tool design. Tool is an important factor for machinability process. In the
metal cutting process various cutting parameters affecting on the cutting tool. The various parameters include as cutting speed,
feed rate, depth of cut, rake angle. The effect of these parameters on the cutting forces, tool temperature, and surface roughness
studied. This helps in evaluating the tool life and tool wear. This effect of parameters on tool is important for efficient machining
and machining conditions. The paper also covers the effect of cutting parameters on the chip formation and residual stresses
produced during cutting process.
Keywords: Cutting parameters, orthogonal, cutting process, cutting tool
Optimization of Cutting Rate for EN 1010 Low Alloy Steel on WEDM Using Respon...IJAEMSJORNAL
The document describes an experiment to optimize cutting rate (CR) when machining EN 1010 low alloy steel using wire electric discharge machining (WEDM). Central composite design was used to plan experiments varying pulse on time, pulse off time, peak current, and servo voltage. 21 experiments were conducted and the average CR was measured for each. Response surface methodology was applied to develop a model relating the process parameters to CR. Analysis of variance showed the quadratic model adequately described the relationship with an R2 of 0.970641. An empirical equation was derived to predict optimal CR based on settings of the four process parameters.
Experimental Analysis to Optimize the Process Parameter of Friction Stir Weld...IRJET Journal
This document presents an experimental analysis to optimize the process parameters of friction stir welding (FSW) for aluminum alloy AA6082. The researchers conducted FSW experiments using different combinations of tool rotation speed, tilt angle, and welding speed. Tensile strength results of the welded joints were analyzed using Taguchi methods and particle swarm optimization to determine the optimal parameter settings. Specifically, a central composite design was used with three factors at three levels each to evaluate the effects of the FSW parameters on tensile strength. The goal of the research was to develop relationships between FSW variables and tensile/yield strength and identify the best settings for maximizing strength in single and multi-pass welds of AA6082 aluminum alloy.
Similar to IRJET- Advance Manufacturing Processes Review Part VI: Plasma ARC Machining (PAM) (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.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
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.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
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
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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.