This document summarizes an investigation into post-processing techniques to reduce the surface roughness of parts created through fused deposition modeling (FDM). Specifically, it examines using chemical treatment methods with different chemicals, concentrations, temperatures, exposure times, and initial part roughnesses. A statistical design of experiments approach is used to identify significant factors affecting surface finish and optimize the chemical treatment process. Results from applying this method to ABS plastics show that simple, inexpensive chemical treatments can satisfactorily improve the surface finish of FDM parts.
Experimental Investigation of Impact Strength for ABS Plus F.D.M. Parts using...IRJET Journal
The document experimentally investigates the impact strength of parts made from ABS Plus material using Fused Deposition Modeling (FDM). It examines the effects of three FDM process parameters - model interior, build orientation angle, and direction of rotation - on impact strength. Experiments were conducted according to a Design of Experiments using Taguchi method. Analysis of variance was used to determine the most influential parameter on impact strength, which was found to be build orientation angle. Regression analysis estimated the percentage of error between experimental and predicted results. In summary, the document explores how FDM process parameters affect the impact strength of ABS Plus parts through experiments using Taguchi method.
Reduction of short shots by optimizing injection molding process parametersIAEME Publication
This document discusses optimizing injection molding process parameters to reduce short shots. It begins by introducing injection molding and defining short shots. An experiment was conducted using Taguchi methods to determine the optimal process parameters for minimizing short shots during the production of 3/4 inch PVC pipe fittings. Six factors were examined at two levels each in an L8 orthogonal array, including injection pressure, mold closing speed, mold pressure, back pressure, screw speed, and barrel temperature. Analysis of variance was used to determine which factors most significantly impacted short shots. Optimal settings were then confirmed with a validation experiment.
“Gray Relational Based Analysis of Al-6351”iosrjce
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of mechanical and civil engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mechanical and civil engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Iaetsd experimental investigation and predictive modelling for surface roughn...Iaetsd Iaetsd
This document discusses an experimental investigation into modeling surface roughness when drilling glass fiber reinforced plastic (GFRP) composites. A full factorial design of experiments was used to test the effects of cutting speed, feed rate, and plate thickness on surface roughness. Analysis of variance showed that feed rate had the largest effect on surface roughness. A second-order mathematical model was developed to predict surface roughness based on the cutting parameters. Additionally, a fuzzy logic model was created and validated the predictions of the mathematical model. The goal of the study was to determine optimal drilling parameters to minimize surface roughness of holes in GFRP composites.
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.
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.
A study of the effects of machining parameters on surface roughness using res...IAEME Publication
This document discusses a study on the effects of machining parameters on surface roughness in end milling of EN11 alloy steel. Experiments were conducted using an L18 orthogonal array to test combinations of four factors (depth of cut, feed rate, spindle speed, coolant type) at three levels each. Surface roughness was measured after each trial. Statistical analysis using ANOVA and response surface methodology was performed on the experimental data to develop a model relating the factors to surface roughness. The goal was to determine the optimal factor levels that minimize surface roughness.
A STUDY OF THE EFFECTS OF MACHINING PARAMETERS ON SURFACE ROUGHNESS USING RES...IAEME Publication
This document summarizes a study that investigated the effects of machining parameters on surface roughness in end milling of EN11 alloy steel. Experiments were conducted using an L18 orthogonal array to test combinations of depth of cut, feed rate, spindle speed, and coolant. Surface roughness was measured for each test and analyzed using response surface methodology. The results showed that machining parameters significantly affected surface roughness and statistical models could be developed to optimize the parameters to achieve a desired surface finish.
Experimental Investigation of Impact Strength for ABS Plus F.D.M. Parts using...IRJET Journal
The document experimentally investigates the impact strength of parts made from ABS Plus material using Fused Deposition Modeling (FDM). It examines the effects of three FDM process parameters - model interior, build orientation angle, and direction of rotation - on impact strength. Experiments were conducted according to a Design of Experiments using Taguchi method. Analysis of variance was used to determine the most influential parameter on impact strength, which was found to be build orientation angle. Regression analysis estimated the percentage of error between experimental and predicted results. In summary, the document explores how FDM process parameters affect the impact strength of ABS Plus parts through experiments using Taguchi method.
Reduction of short shots by optimizing injection molding process parametersIAEME Publication
This document discusses optimizing injection molding process parameters to reduce short shots. It begins by introducing injection molding and defining short shots. An experiment was conducted using Taguchi methods to determine the optimal process parameters for minimizing short shots during the production of 3/4 inch PVC pipe fittings. Six factors were examined at two levels each in an L8 orthogonal array, including injection pressure, mold closing speed, mold pressure, back pressure, screw speed, and barrel temperature. Analysis of variance was used to determine which factors most significantly impacted short shots. Optimal settings were then confirmed with a validation experiment.
“Gray Relational Based Analysis of Al-6351”iosrjce
IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of mechanical and civil engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in mechanical and civil engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Iaetsd experimental investigation and predictive modelling for surface roughn...Iaetsd Iaetsd
This document discusses an experimental investigation into modeling surface roughness when drilling glass fiber reinforced plastic (GFRP) composites. A full factorial design of experiments was used to test the effects of cutting speed, feed rate, and plate thickness on surface roughness. Analysis of variance showed that feed rate had the largest effect on surface roughness. A second-order mathematical model was developed to predict surface roughness based on the cutting parameters. Additionally, a fuzzy logic model was created and validated the predictions of the mathematical model. The goal of the study was to determine optimal drilling parameters to minimize surface roughness of holes in GFRP composites.
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.
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.
A study of the effects of machining parameters on surface roughness using res...IAEME Publication
This document discusses a study on the effects of machining parameters on surface roughness in end milling of EN11 alloy steel. Experiments were conducted using an L18 orthogonal array to test combinations of four factors (depth of cut, feed rate, spindle speed, coolant type) at three levels each. Surface roughness was measured after each trial. Statistical analysis using ANOVA and response surface methodology was performed on the experimental data to develop a model relating the factors to surface roughness. The goal was to determine the optimal factor levels that minimize surface roughness.
A STUDY OF THE EFFECTS OF MACHINING PARAMETERS ON SURFACE ROUGHNESS USING RES...IAEME Publication
This document summarizes a study that investigated the effects of machining parameters on surface roughness in end milling of EN11 alloy steel. Experiments were conducted using an L18 orthogonal array to test combinations of depth of cut, feed rate, spindle speed, and coolant. Surface roughness was measured for each test and analyzed using response surface methodology. The results showed that machining parameters significantly affected surface roughness and statistical models could be developed to optimize the parameters to achieve a desired surface finish.
APPLICATION OF GREY RELATIONAL ANALYSIS FOR MULTI VARIABLE OPTIMIZATION OF PR...IAEME Publication
The present work deals with a simple approach which predicts the optimum setting
of process parameters of drilling operation on Polymer Based Glass Fiber (PBGF)
composite. The process parameters selected are drill angle (DA), Drill diameter (DD),
Material Thickness (MT), Speed (N) and Feed (f). The output parameters are Thrust,
Torque, Surface Roughness and Delamination. Three levels of each input parameters
are considered. Taguchi’s L27 array is used to set the process parameters. Gray
relational analysis (GRA) is used to find the optimum value of process parameters.
Conduction of ANOVA on GRA shown the significance of each factor on the process
output. A conformation test conducted revealed that the setting of parameters ensures
optimum output
Optimization of process parameters in drilling of aisi 1015 steel for exit bu...IAEME Publication
The document analyzes and optimizes drilling parameters to minimize burr size in drilling AISI 1015 steel. Response surface methodology and Taguchi methods were used. Speed, feed, drill diameter, and point angle were parameters varied, and burr height and thickness were responses. Central composite design was used. Optimal parameters for minimum burr height were found to be 28 m/min speed, 0.1 mm/rev feed, 20 mm diameter, and 135° point angle. Optimal parameters for minimum burr thickness were 16 m/min speed, 0.05 mm/rev feed, 4 mm diameter, and 142° point angle.
This document summarizes a study that used the Taguchi method to optimize drilling parameters for minimizing surface roughness when drilling mild steel. Experiments were conducted using an L27 orthogonal array to examine the effects of cutting speed, feed rate, and point angle on surface roughness. Analysis of the experimental results found that the lowest surface roughness was achieved with a low cutting speed, low feed rate, and medium point angle. Feed rate was found to be the most significant factor influencing surface roughness, followed by cutting speed. The optimal combination of drilling parameters to minimize surface roughness in mild steel is a cutting speed of 7 m/min, feed rate of 0.035 mm/rev, and point angle of 90 degrees.
This document analyzes turning parameters to minimize surface roughness when turning AISI 1040 steel using the Taguchi method. 27 experiments were conducted varying cutting speed, feed rate, and depth of cut. The results found that depth of cut had the most significant impact on lowering surface roughness, followed by feed rate. Cutting speed had the least effect. The Taguchi method showed that interactions between feed rate and depth of cut also influenced surface roughness. The analysis identified the optimal cutting conditions to achieve the lowest surface roughness.
Parametric optimization of surface roughness in turning inconel718 using tagIAEME Publication
This document discusses the optimization of surface roughness in turning Inconel 718 using Taguchi methods and regression analysis for prediction. The document describes how Taguchi experimental design was used to optimize cutting speed, feed rate, depth of cut, and nose radius. Surface roughness (Ra) was measured and used as the response variable. Analysis of variance (ANOVA) was performed to determine the significant factors, and a regression model was developed to predict surface roughness based on the machining parameters. The results showed that Taguchi methods can optimize the turning process and the regression model can reliably predict surface roughness.
This document reviews optimization of process parameters for surface roughness and material removal rate (MRR) when machining stainless steel 316 on a CNC machine. It begins with an abstract that describes using design of experiments and grey relational analysis to optimize surface roughness based on data from 27 specimens produced via straight turning. The introduction provides background on the importance of surface roughness and challenges of achieving desired quality features on CNC machines. The literature review summarizes several previous studies on optimizing parameters like speed, feed rate, and depth of cut to minimize surface roughness and maximize MRR using techniques like Taguchi methods. The document aims to identify optimal parameter combinations to simultaneously optimize multiple quality objectives.
This document summarizes a research paper on using finite element analysis software to predict the limiting draw ratio (LDR) for deep drawing processes. The paper describes using RADIOSS software to simulate deep drawing with varying blank diameters and analyze displacement, strain, and thinning. Simulations were run for SAE_J2340_CR_210A_Dent_Resist steel. The results showed safe, marginal, and failure conditions for different diameters. The simulated LDR value matched the analytical value within 16% deviation. Therefore, finite element analysis can accurately predict LDR and identify failure diameters, providing an alternative to experimental testing.
This document summarizes an article from the International Journal of Mechanical Engineering and Technology that discusses optimizing critical processing parameters for plastic injection molding. It begins by stating that determining optimal initial process parameters is important for productivity, quality and costs. It then outlines the objectives of identifying optimized levels for factors like temperature and pressure. The methodology proposed uses Taguchi design of experiments and Moldflow simulation software to optimize parameters for different materials like polypropylene. The scope is to study injection molding parameters for polypropylene and provide recommendations for parameter settings based on material and geometry.
1. The document describes a study analyzing the mechanical properties and surface roughness of as-cast and heat treated Al-7075 alloy. Experiments were conducted on samples in the as-cast condition and after two heat treatment processes (T6 and RRA) to enhance properties like tensile strength and hardness.
2. The study used Taguchi's design of experiments methodology to analyze the effects of machining parameters like spindle speed, feed rate, and depth of cut on surface roughness. Experiments were conducted using an L9 orthogonal array and ANOVA was used to determine the significance of each parameter.
3. Preliminary results found that heat treatment increased tensile strength and hardness compared to the as-cast condition. Further analysis
Analysis of Process Parameters in Dry Turning of Medium Carbon Steel En19 by ...IJERA Editor
This document presents an analysis of surface roughness characteristics during dry turning of medium carbon steel EN19. Experiments were conducted using a Taguchi L9 orthogonal array to evaluate the effects of cutting speed, feed rate, and depth of cut on the surface roughness parameters Ra, Rq, and Rz. Grey relational analysis was used to determine the optimal process parameters that minimize all response variables. Regression models were developed to predict the surface roughness, which showed high correlation. Cutting speed was found to have the greatest influence on surface roughness based on ANOVA analysis.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document discusses using the Taguchi method to optimize injection moulding process parameters to minimize shrinkage when molding low density polyethylene (LDPE). An experiment was conducted using an L9 orthogonal array to test different levels of melting temperature, injection pressure, refilling pressure, and cooling time. The results showed that cooling time had the greatest influence on shrinkage, followed by refilling pressure, with injection pressure having the least effect. Analysis of the signal-to-noise ratios identified an optimal parameter combination of 190°C melting temperature, 55MPa injection pressure, 85MPa refilling pressure, and 11 seconds cooling time which produced the lowest shrinkage for LDPE.
This document analyzes the effect of different wire electrodes on the material removal rate (MRR) of an MS workpiece using wire electrical discharge machining (WEDM). Experiments were conducted using copper, brass, and zinc-coated brass wire electrodes at various levels of current and pulse duration. The results showed that MRR was highest with copper wire and decreased with brass and zinc-coated brass wires. MRR also decreased with increasing current but increased with longer pulse duration. Statistical analysis through ANOVA confirmed that the wire material and pulse duration significantly affected the MRR while current had a lesser effect.
This document summarizes a study that investigated the effects of machining parameters on surface roughness during end milling. The study developed a multiple regression model to predict surface roughness based on spindle speed, feed rate, and depth of cut. Experiments were conducted using different combinations of spindle speeds ranging from 750 to 1500 rpm, feed rates from 150 to 600 mm/min, and depths of cut from 0.25 to 1.25 mm. Surface roughness measurements were collected and analyzed using ANOVA. The resulting multiple regression model included terms for the effects of each parameter individually and their two-way interactions. The model predicted surface roughness with an accuracy of about 12%.
This document summarizes a research paper that used computer simulation to optimize the design of three feeders for a sand casting process. It begins with background on sand casting and finite element analysis. The document then describes how Ansys software was used to perform transient thermal analysis and optimize the height of three feeders on a dumbbell-shaped casting. First, a traditional modulus approach was used to initially size the feeders. Then, Ansys optimization was performed to maximize feeder yield by minimizing temperature differences between feeders and casting zones. The optimized design from Ansys improved feeder yield to 50.76% compared to 13.36% from the modulus approach. Temperature plots from Ansys verified the feeders contained the hot
This document reviews the direct metal deposition (DMD) process and the effects of various process parameters on the geometrical characteristics of parts produced. It discusses how the laser power, beam diameter, scanning speed, powder flow rate, and other parameters influence characteristics like clad height, width, roughness, and dilution. Several studies that developed models and experiments to relate parameters to outcomes are summarized. In general, increasing laser power or powder flow rate tends to increase clad height while increasing scanning speed decreases height. Process maps and models have been created but further research is still needed to better understand and control the complex interactions in the DMD process.
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 summarizes a study that used Taguchi methods and Grey Relational Analysis to optimize drilling parameters for a composite material (Al-TiBr2). The study aimed to minimize surface roughness and maximize material removal rate during the drilling process. Experiments were conducted using an orthogonal array design with spindle speed, feed rate, and depth of cut as control parameters. Signal-to-noise ratios were calculated for each response and normalized. Grey relational coefficients and grades were then determined to identify the optimal drilling parameters. The results indicated that low spindle speed, high feed rate, and medium depth of cut provided the best combination for the multiple performance characteristics.
Model for prediction of temperature distribution in workpiece for surface gri...iaemedu
This document discusses a finite element model for predicting temperature distribution during surface grinding. It begins by reviewing how various grinding parameters affect temperature and approaches to modeling the grinding zone as a heat source. It then presents the proposed finite element model, which considers the grinding wheel a moving heat source along the workpiece surface. The model calculates the heat flux entering the workpiece based on grinding parameters like wheel speed and cutting depth. Results show maximum temperature occurs at the trailing edge but drops off after due to cooling. The model can provide insight into temperature fields in the workpiece and effects of process parameters on thermal loading and residual stresses.
Design and development of an automotive vertical doors opening system avdosiaemedu
The document describes the design and development of an automotive vertical doors opening system (AVDOS). The proposed system aims to overcome some drawbacks of existing vertical door designs by allowing easier access without requiring side movement. The system uses two hinges, gears, and a gas spring. The hinges are designed to open the door by swinging away from the vehicle. A small vertical push activates the gas spring, which moves the hinge and causes the gears to provide a slight outward movement to clear the door frame. Testing in CAD software validated that the system provides access without hard pushing or slamming doors. The system offers a safer, easier to use, and lower cost alternative to existing vertical door designs.
Assessment of cmm and its impact on software qualityiaemedu
The document discusses the Capability Maturity Model (CMM) and its impact on software quality. It describes the five levels of the CMM and the key process areas within each level. The CMM is designed to help software organizations improve their processes by advancing through the maturity levels. Advancing to higher levels involves institutionalizing effective software engineering practices. The document also presents a problem statement about software projects facing cost overruns and quality issues. It reviews literature on the CMM and outlines a project conversion process framework to assess CMM implementation.
Towards better control over the distribution of subsidized commoditiesiaemedu
This document summarizes an article from the International Journal of Computer Engineering and Technology. The article presents a mobile-based solution to tackle the problem of fairly and transparently distributing subsidized food in Egypt. The proposed solution provides visibility and control over the distribution process using mobile technologies. It introduces a better mechanism to reduce leakage in the current subsidy system. The solution architecture is discussed, including logical and layered views. Key requirements like usability and minimizing corruption are also summarized.
Throughput improvement of ieee 802.15.4 based medicaliaemedu
This document discusses improving the throughput of IEEE 802.15.4 based medical ad-hoc sensor networks that are used for home healthcare monitoring. These networks experience degraded throughput due to interference from co-existing Wi-Fi networks operating in the same 2.4GHz spectrum. The paper studies the impact of Wi-Fi interference on throughput and uses Clear Channel Assessment (CCA) to improve throughput. Experiments were conducted using Texas Instruments sensor motes and showed that CCA improved throughput by 63% by avoiding transmissions when interference was detected.
APPLICATION OF GREY RELATIONAL ANALYSIS FOR MULTI VARIABLE OPTIMIZATION OF PR...IAEME Publication
The present work deals with a simple approach which predicts the optimum setting
of process parameters of drilling operation on Polymer Based Glass Fiber (PBGF)
composite. The process parameters selected are drill angle (DA), Drill diameter (DD),
Material Thickness (MT), Speed (N) and Feed (f). The output parameters are Thrust,
Torque, Surface Roughness and Delamination. Three levels of each input parameters
are considered. Taguchi’s L27 array is used to set the process parameters. Gray
relational analysis (GRA) is used to find the optimum value of process parameters.
Conduction of ANOVA on GRA shown the significance of each factor on the process
output. A conformation test conducted revealed that the setting of parameters ensures
optimum output
Optimization of process parameters in drilling of aisi 1015 steel for exit bu...IAEME Publication
The document analyzes and optimizes drilling parameters to minimize burr size in drilling AISI 1015 steel. Response surface methodology and Taguchi methods were used. Speed, feed, drill diameter, and point angle were parameters varied, and burr height and thickness were responses. Central composite design was used. Optimal parameters for minimum burr height were found to be 28 m/min speed, 0.1 mm/rev feed, 20 mm diameter, and 135° point angle. Optimal parameters for minimum burr thickness were 16 m/min speed, 0.05 mm/rev feed, 4 mm diameter, and 142° point angle.
This document summarizes a study that used the Taguchi method to optimize drilling parameters for minimizing surface roughness when drilling mild steel. Experiments were conducted using an L27 orthogonal array to examine the effects of cutting speed, feed rate, and point angle on surface roughness. Analysis of the experimental results found that the lowest surface roughness was achieved with a low cutting speed, low feed rate, and medium point angle. Feed rate was found to be the most significant factor influencing surface roughness, followed by cutting speed. The optimal combination of drilling parameters to minimize surface roughness in mild steel is a cutting speed of 7 m/min, feed rate of 0.035 mm/rev, and point angle of 90 degrees.
This document analyzes turning parameters to minimize surface roughness when turning AISI 1040 steel using the Taguchi method. 27 experiments were conducted varying cutting speed, feed rate, and depth of cut. The results found that depth of cut had the most significant impact on lowering surface roughness, followed by feed rate. Cutting speed had the least effect. The Taguchi method showed that interactions between feed rate and depth of cut also influenced surface roughness. The analysis identified the optimal cutting conditions to achieve the lowest surface roughness.
Parametric optimization of surface roughness in turning inconel718 using tagIAEME Publication
This document discusses the optimization of surface roughness in turning Inconel 718 using Taguchi methods and regression analysis for prediction. The document describes how Taguchi experimental design was used to optimize cutting speed, feed rate, depth of cut, and nose radius. Surface roughness (Ra) was measured and used as the response variable. Analysis of variance (ANOVA) was performed to determine the significant factors, and a regression model was developed to predict surface roughness based on the machining parameters. The results showed that Taguchi methods can optimize the turning process and the regression model can reliably predict surface roughness.
This document reviews optimization of process parameters for surface roughness and material removal rate (MRR) when machining stainless steel 316 on a CNC machine. It begins with an abstract that describes using design of experiments and grey relational analysis to optimize surface roughness based on data from 27 specimens produced via straight turning. The introduction provides background on the importance of surface roughness and challenges of achieving desired quality features on CNC machines. The literature review summarizes several previous studies on optimizing parameters like speed, feed rate, and depth of cut to minimize surface roughness and maximize MRR using techniques like Taguchi methods. The document aims to identify optimal parameter combinations to simultaneously optimize multiple quality objectives.
This document summarizes a research paper on using finite element analysis software to predict the limiting draw ratio (LDR) for deep drawing processes. The paper describes using RADIOSS software to simulate deep drawing with varying blank diameters and analyze displacement, strain, and thinning. Simulations were run for SAE_J2340_CR_210A_Dent_Resist steel. The results showed safe, marginal, and failure conditions for different diameters. The simulated LDR value matched the analytical value within 16% deviation. Therefore, finite element analysis can accurately predict LDR and identify failure diameters, providing an alternative to experimental testing.
This document summarizes an article from the International Journal of Mechanical Engineering and Technology that discusses optimizing critical processing parameters for plastic injection molding. It begins by stating that determining optimal initial process parameters is important for productivity, quality and costs. It then outlines the objectives of identifying optimized levels for factors like temperature and pressure. The methodology proposed uses Taguchi design of experiments and Moldflow simulation software to optimize parameters for different materials like polypropylene. The scope is to study injection molding parameters for polypropylene and provide recommendations for parameter settings based on material and geometry.
1. The document describes a study analyzing the mechanical properties and surface roughness of as-cast and heat treated Al-7075 alloy. Experiments were conducted on samples in the as-cast condition and after two heat treatment processes (T6 and RRA) to enhance properties like tensile strength and hardness.
2. The study used Taguchi's design of experiments methodology to analyze the effects of machining parameters like spindle speed, feed rate, and depth of cut on surface roughness. Experiments were conducted using an L9 orthogonal array and ANOVA was used to determine the significance of each parameter.
3. Preliminary results found that heat treatment increased tensile strength and hardness compared to the as-cast condition. Further analysis
Analysis of Process Parameters in Dry Turning of Medium Carbon Steel En19 by ...IJERA Editor
This document presents an analysis of surface roughness characteristics during dry turning of medium carbon steel EN19. Experiments were conducted using a Taguchi L9 orthogonal array to evaluate the effects of cutting speed, feed rate, and depth of cut on the surface roughness parameters Ra, Rq, and Rz. Grey relational analysis was used to determine the optimal process parameters that minimize all response variables. Regression models were developed to predict the surface roughness, which showed high correlation. Cutting speed was found to have the greatest influence on surface roughness based on ANOVA analysis.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
This document discusses using the Taguchi method to optimize injection moulding process parameters to minimize shrinkage when molding low density polyethylene (LDPE). An experiment was conducted using an L9 orthogonal array to test different levels of melting temperature, injection pressure, refilling pressure, and cooling time. The results showed that cooling time had the greatest influence on shrinkage, followed by refilling pressure, with injection pressure having the least effect. Analysis of the signal-to-noise ratios identified an optimal parameter combination of 190°C melting temperature, 55MPa injection pressure, 85MPa refilling pressure, and 11 seconds cooling time which produced the lowest shrinkage for LDPE.
This document analyzes the effect of different wire electrodes on the material removal rate (MRR) of an MS workpiece using wire electrical discharge machining (WEDM). Experiments were conducted using copper, brass, and zinc-coated brass wire electrodes at various levels of current and pulse duration. The results showed that MRR was highest with copper wire and decreased with brass and zinc-coated brass wires. MRR also decreased with increasing current but increased with longer pulse duration. Statistical analysis through ANOVA confirmed that the wire material and pulse duration significantly affected the MRR while current had a lesser effect.
This document summarizes a study that investigated the effects of machining parameters on surface roughness during end milling. The study developed a multiple regression model to predict surface roughness based on spindle speed, feed rate, and depth of cut. Experiments were conducted using different combinations of spindle speeds ranging from 750 to 1500 rpm, feed rates from 150 to 600 mm/min, and depths of cut from 0.25 to 1.25 mm. Surface roughness measurements were collected and analyzed using ANOVA. The resulting multiple regression model included terms for the effects of each parameter individually and their two-way interactions. The model predicted surface roughness with an accuracy of about 12%.
This document summarizes a research paper that used computer simulation to optimize the design of three feeders for a sand casting process. It begins with background on sand casting and finite element analysis. The document then describes how Ansys software was used to perform transient thermal analysis and optimize the height of three feeders on a dumbbell-shaped casting. First, a traditional modulus approach was used to initially size the feeders. Then, Ansys optimization was performed to maximize feeder yield by minimizing temperature differences between feeders and casting zones. The optimized design from Ansys improved feeder yield to 50.76% compared to 13.36% from the modulus approach. Temperature plots from Ansys verified the feeders contained the hot
This document reviews the direct metal deposition (DMD) process and the effects of various process parameters on the geometrical characteristics of parts produced. It discusses how the laser power, beam diameter, scanning speed, powder flow rate, and other parameters influence characteristics like clad height, width, roughness, and dilution. Several studies that developed models and experiments to relate parameters to outcomes are summarized. In general, increasing laser power or powder flow rate tends to increase clad height while increasing scanning speed decreases height. Process maps and models have been created but further research is still needed to better understand and control the complex interactions in the DMD process.
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 summarizes a study that used Taguchi methods and Grey Relational Analysis to optimize drilling parameters for a composite material (Al-TiBr2). The study aimed to minimize surface roughness and maximize material removal rate during the drilling process. Experiments were conducted using an orthogonal array design with spindle speed, feed rate, and depth of cut as control parameters. Signal-to-noise ratios were calculated for each response and normalized. Grey relational coefficients and grades were then determined to identify the optimal drilling parameters. The results indicated that low spindle speed, high feed rate, and medium depth of cut provided the best combination for the multiple performance characteristics.
Model for prediction of temperature distribution in workpiece for surface gri...iaemedu
This document discusses a finite element model for predicting temperature distribution during surface grinding. It begins by reviewing how various grinding parameters affect temperature and approaches to modeling the grinding zone as a heat source. It then presents the proposed finite element model, which considers the grinding wheel a moving heat source along the workpiece surface. The model calculates the heat flux entering the workpiece based on grinding parameters like wheel speed and cutting depth. Results show maximum temperature occurs at the trailing edge but drops off after due to cooling. The model can provide insight into temperature fields in the workpiece and effects of process parameters on thermal loading and residual stresses.
Design and development of an automotive vertical doors opening system avdosiaemedu
The document describes the design and development of an automotive vertical doors opening system (AVDOS). The proposed system aims to overcome some drawbacks of existing vertical door designs by allowing easier access without requiring side movement. The system uses two hinges, gears, and a gas spring. The hinges are designed to open the door by swinging away from the vehicle. A small vertical push activates the gas spring, which moves the hinge and causes the gears to provide a slight outward movement to clear the door frame. Testing in CAD software validated that the system provides access without hard pushing or slamming doors. The system offers a safer, easier to use, and lower cost alternative to existing vertical door designs.
Assessment of cmm and its impact on software qualityiaemedu
The document discusses the Capability Maturity Model (CMM) and its impact on software quality. It describes the five levels of the CMM and the key process areas within each level. The CMM is designed to help software organizations improve their processes by advancing through the maturity levels. Advancing to higher levels involves institutionalizing effective software engineering practices. The document also presents a problem statement about software projects facing cost overruns and quality issues. It reviews literature on the CMM and outlines a project conversion process framework to assess CMM implementation.
Towards better control over the distribution of subsidized commoditiesiaemedu
This document summarizes an article from the International Journal of Computer Engineering and Technology. The article presents a mobile-based solution to tackle the problem of fairly and transparently distributing subsidized food in Egypt. The proposed solution provides visibility and control over the distribution process using mobile technologies. It introduces a better mechanism to reduce leakage in the current subsidy system. The solution architecture is discussed, including logical and layered views. Key requirements like usability and minimizing corruption are also summarized.
Throughput improvement of ieee 802.15.4 based medicaliaemedu
This document discusses improving the throughput of IEEE 802.15.4 based medical ad-hoc sensor networks that are used for home healthcare monitoring. These networks experience degraded throughput due to interference from co-existing Wi-Fi networks operating in the same 2.4GHz spectrum. The paper studies the impact of Wi-Fi interference on throughput and uses Clear Channel Assessment (CCA) to improve throughput. Experiments were conducted using Texas Instruments sensor motes and showed that CCA improved throughput by 63% by avoiding transmissions when interference was detected.
Octave wave sound signal measurements in ducted axial fan under stall region ...iaemedu
This document discusses measurements of octave wave sound signals in a ducted axial fan under stall conditions at different rotor speeds. It describes the experimental setup, which includes a ducted axial fan rig with variable speed control and a throttle controller. Sound from the fan is measured using a microphone connected to a data acquisition system and sound spectrum analyzer software. The document provides background on sound measurement techniques, defining concepts like frequency, wavelength, velocity and how the spectrum analyzer system works. Graphs of sound level in decibels are presented for different frequencies at the stall region and throttle position of 4 cm from the casing.
Examining the sustainability of ethics in business an academic perspectiveiaemedu
This document discusses the sustainability of ethics in business from an academic perspective. It examines the role of academics in teaching business ethics and the challenges of ensuring ethics are practiced beyond the classroom. While business ethics courses are now common, the core business curriculum remains focused on functional studies rather than values. Research shows ethics education can influence students' ethical attitudes but other factors like sociocultural norms may have a greater impact. For ethics to be sustained in business, academics must model ethical behavior and develop students' moral character through frameworks beyond case studies alone. Organizational culture also significantly shapes what conduct is deemed ethical.
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 discusses optimizing the machining parameters for surface roughness when machining Acetal homopolymer on a lathe machine. It uses the Taguchi method to design experiments to determine the optimal levels of cutting speed, feed rate, depth of cut, and tool material that minimize surface roughness. Analysis of variance (ANOVA) and signal-to-noise ratios are used to analyze the effects of the turning parameters on surface roughness and identify the best combination of parameters. The goal is to perform the machining operation efficiently while meeting specifications for surface roughness.
EFFECT OF NOSE RADIUS ON SURFACE ROUGHNESS DURING CNC TURNING USING RESPONSE ...ijmech
The work and study presented in this paper aims to investigate the effect of nose radius on surface
roughness, in CNC turning of Aluminium (6061) in dry condition. The effect of cutting conditions (speed,
feed and depth of cut) and tool geometry (nose radius) on surface roughness were studied and analysed.
Design of Experiments (DOE) were conducted for the analysis of the influence of the turning parameter on
the surface roughness by using Response Surface Methodology (RSM) and then followed by optimization of
the results using Analysis of Variance (ANOVA) to minimize surface roughness. The nose radius was
identified as the most significant parameter. Surface roughness value decreased with increase in nose
radius.
IRJET- Study of Fused Deposition Modeling Process Parameters for Polycarbonat...IRJET Journal
This document describes a study on the effects of process parameters on parts manufactured using fused deposition modeling (FDM) of a polycarbonate/acrylonitrile butadiene styrene (PC/ABS) blend material. Five parameters were selected - extrusion temperature, bed temperature, layer thickness, raster width, and printing speed. Experiments were conducted using an L8 orthogonal array design in Taguchi methodology. Parts were manufactured and measured for dimensional accuracy, surface roughness, and flatness without support structures. The goal was to determine optimal parameter settings to improve part quality characteristics for this material.
This document reviews various methods that have been used to optimize process parameters for fused deposition modeling (FDM), including the Taguchi method and artificial neural networks (ANNs). It summarizes several studies that used Taguchi designs of experiments and analyses to determine the most significant FDM parameters (e.g., layer thickness, orientation, raster width) that influence properties like strength, flexibility, and dimensional accuracy. It also discusses applications of ANNs to predict experimental results and optimize parameters in other manufacturing processes like injection molding and electrical discharge machining. The document concludes that FDM parameter optimization is important for part quality and that Taguchi methods and ANNs are effective tools for design of experiments, analysis, prediction and optimization.
Development of models using genetic programming for turningIAEME Publication
The document summarizes a study that used genetic programming to develop models for predicting surface roughness and cutting forces during the turning of Inconel 718 alloy with coated carbide tools. Experiments were conducted according to a Taguchi orthogonal array with cutting speed, feed rate, and depth of cut as input variables and surface roughness, cutting force, feed force, and thrust force as output responses. Genetic programming was used to generate mathematical models relating the input and output variables. The models were validated using experimental data and able to reasonably predict the output values. The models can be used to optimize the turning process and identify parameters that achieve better surface finish and higher material removal rates.
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
Process parameters optimization in sls process using design of experiments 2IAEME Publication
This document summarizes an experiment conducted to optimize process parameters in selective laser sintering (SLS) using design of experiments. SLS is an additive manufacturing technique that uses a laser to fuse powder materials into a desired 3D shape. The experiment varied slice thickness (0.03, 0.05, 0.1 mm) and part orientation (0, 30, 45 degrees) using an L9 orthogonal array. Laser energy required for sintering was measured. Results found laser energy decreased with increasing slice thickness and was moderately affected by orientation. Signal-to-noise analysis identified the optimal parameters as a slice thickness of 0.1 mm and orientation of 0 degrees for minimizing laser energy.
The document reviews finite element simulations in metal forming. It discusses different finite element modeling approaches for metal forming processes like deep drawing, including dynamic explicit, static explicit, static implicit incremental, static implicit large step, and static implicit one step methods. It also examines factors like bending effects, material models, element types (membrane, continuum, shell), and contact algorithms that influence the accuracy and efficiency of finite element simulations in metal forming. Current limitations of simulations are also noted, along with ongoing research needs to improve simulations and close the gap with real-life metal forming processes.
Optimization of surface roughness in high speed end milling operation usingIAEME Publication
This document summarizes an investigation into optimizing surface roughness in high-speed end milling of Al-Si-Mg-Fe alloy workpieces using Taguchi's method. The study used an L9 orthogonal array to experiment with cutting speed, feed rate, and depth of cut. Surface roughness was measured and ANOVA was performed. Results showed depth of cut had the strongest influence on surface roughness, contributing over 73% of the variation, while cutting speed and feed rate also significantly impacted surface roughness. Surface roughness decreased with increasing cutting speed and increased with higher feed rates and depths of cut. Overall, Taguchi's method was able to optimize the machining parameters to minimize surface roughness.
Optimization of surface roughness in high speed end milling operation usingIAEME Publication
This document summarizes an investigation into optimizing surface roughness in high-speed end milling of Al-Si-Mg-Fe alloy workpieces using Taguchi's method. The study used an L9 orthogonal array to experiment with cutting speed, feed rate, and depth of cut. Surface roughness was measured and ANOVA was performed. Results showed depth of cut had the strongest influence on surface roughness, contributing over 73% of the variation, while cutting speed and feed rate also significantly impacted surface roughness. Surface roughness decreased with increasing cutting speed and increased with higher feed rates and depths of cut.
Application of non traditional optimization for quality improvement in tool ...iaemedu
This document discusses applying non-traditional optimization techniques to improve quality in tool holders. It begins with an abstract that outlines using Taguchi's design of experiments, response surface methodology, and genetic algorithms to optimize grinding process parameters and minimize defects. The document then reviews relevant literature on using optimization methods like genetic algorithms and response surface methodology to determine optimal cutting conditions. It presents the methodology used, which includes conducting experiments using an L9 orthogonal array to evaluate control parameters like cutting speed, work head speed, and feed rate. The goal is to develop a mathematical model relating these parameters to quality measures and then use the model within genetic algorithms to find optimal parameter settings that minimize defects.
Application of non traditional optimization for quality improvement in tool ...iaemedu
This document discusses applying non-traditional optimization techniques to improve quality in tool holders. It begins with an abstract that describes using Taguchi's design of experiments, response surface methodology, and genetic algorithms to optimize grinding process parameters and minimize defects. The document then reviews literature on using techniques like genetic algorithms and particle swarm optimization to optimize machining processes. It presents the methodology used, which includes conducting experiments using an L9 orthogonal array to evaluate control parameters, developing a mathematical model relating parameters to quality, and using genetic algorithm and particle swarm optimization to minimize deviations from quality targets.
Application of non traditional optimization for quality improvement in tool h...iaemedu
This document discusses the application of non-traditional optimization techniques for quality improvement in tool holders. It begins by introducing the use of Taguchi's design of experiments, response surface methodology, genetic algorithms, and particle swarm optimization to optimize process parameters and minimize defects. The document then reviews past literature on using various optimization methods like genetic algorithms and response surface methodology in metal cutting processes. Finally, the document describes applying these techniques to solve the specific problem of optimizing parameters in a face profile grinding process to reduce rejection rates.
Investigation of mrr in wedm for wc co sintered compositeIAEME Publication
The document investigates the influence of wire electrical discharge machining (WEDM) parameters on material removal rate when machining tungsten carbide-cobalt (WC-Co) sintered composite. Experiments were conducted using a response surface methodology with five control factors (pulse on-time, pulse off-time, peak current, servo voltage, and wire tension). The results were used to derive a mathematical model to predict material removal rate and optimize the WEDM process for machining WC-Co composite.
The document discusses optimizing process parameters in wire electrical discharge machining (WEDM) of high carbon high chromium steel using Taguchi's method and utility concept. It aims to maximize material removal rate and minimize surface roughness and kerf width. An L25 orthogonal array was used to design the experiment with six process parameters each at five levels. Experiments were conducted and response variables of material removal rate, surface roughness and kerf width were measured. Signal to noise ratios were calculated for each response using Taguchi's equations. A multi-response optimization was performed using a weighted utility function to determine the optimal process parameter settings that satisfy all response objectives.
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
Influence of process parameters on MRR in EDM of AISI D2 Steel: a RSM approachMohan Kumar Pradhan
Response Surface Methodology (RSM) is used to investigate the
effect of three controllable input variables namely: discharge current, pulse duration,
and pulse off time on material removal rate (MRR) in EDM process. To study the
proposed second-order polynomial model for MRR, a central composite design is
used to estimation the model coefficients of the three factors, which are believed to
influence the MRR in EDM process. Experiments were conducted on AISI D2 tool
steel with copper electrode. The response is modeled using RSM on the experimental
data. The significant coefficients are obtained by performing analysis of variance
(ANOVA) at 5% level of significance. It is found that discharge current, pulse duration,
and pulse off time and few of their interactions have significant effect on the MRR.
The model sufficiency is very satisfactory as the coefficient of determination (R2) is
found to be 97.6%.
EFFECT OF THE PROCESS PARAMETERS ON GEOMETRICAL CHARACTERISTICS OF THE PARTS ...IAEME Publication
This document reviews the direct metal deposition (DMD) process and the effects of various process parameters on the geometrical characteristics of parts produced. It discusses how the laser power, beam diameter, scanning speed, powder flow rate, and other parameters influence characteristics like clad height, width, roughness, and dilution. Several studies that developed models and conducted experiments relating parameters to outcomes are summarized. In general, increasing laser power or powder flow rate tends to increase clad height and deposition rate while increasing scanning speed decreases these. Optimal surface roughness requires intermediate parameter values.
Similar to Investigation of post processing techniques to reduce the surface (20)
Tech transfer making it as a risk free approach in pharmaceutical and biotech iniaemedu
Tech transfer is a common methodology for transferring new products or an existing
commercial product to R&D or to another manufacturing site. Transferring product knowledge to the
manufacturing floor is crucial and it is an ongoing approach in the pharmaceutical and biotech
industry. Without adopting this process, no company can manufacture its niche products, let alone
market them. Technology transfer is a complicated, process because it is highly cross functional. Due
to its cross functional dependence, these projects face numerous risks and failure. If anidea cannot be
successfully brought out in the form of a product, there is no customer benefit, or satisfaction.
Moreover, high emphasis is in sustaining manufacturing with highest quality each and every time. It
is vital that tech transfer projects need to be executed flawlessly. To accomplish this goal, risk
management is crucial and project team needs to use the risk management approach seamlessly.
Integration of feature sets with machine learning techniquesiaemedu
This document summarizes a research paper that proposes a novel approach for spam filtering using selective feature sets combined with machine learning techniques. The paper presents an algorithm and system architecture that extracts feature sets from emails and uses machine learning to classify emails and generate rules to identify spam. Several metrics are identified to evaluate the efficiency of the feature sets, including false positive rate. An experiment is described that uses keyword lists as feature sets to train filters and compares the proposed approach to other spam filtering methods.
Effective broadcasting in mobile ad hoc networks using gridiaemedu
This document summarizes a research paper that proposes a new grid-based broadcasting mechanism for mobile ad hoc networks. The paper argues that flooding approaches to broadcasting are inefficient and cause network congestion. The proposed approach divides the network into a hierarchical grid structure. When a node needs to broadcast a message, it sends the message to the first node in the appropriate grid, which is then responsible for updating and forwarding the message within that grid. Simulation results showed the grid-based approach outperformed other broadcasting protocols and was more reliable, efficient and scalable.
Effect of scenario environment on the performance of mane ts routingiaemedu
The document analyzes the effect of scenario environment on the performance of the AODV routing protocol in mobile ad hoc networks (MANETs). It studies AODV performance under different scenarios varying network size, maximum node speed, and pause time. The performance is evaluated based on packet delivery ratio, throughput, and end-to-end delay. The results show that AODV performs best in some scenarios and worse in others, indicating that scenario parameters significantly impact routing protocol performance in MANETs.
Adaptive job scheduling with load balancing for workflow applicationiaemedu
This document discusses adaptive job scheduling with load balancing for workflow applications in a grid platform. It begins with an abstract that describes grid computing and how scheduling plays a key role in performance for grid workflow applications. Both static and dynamic scheduling strategies are discussed, but they require high scheduling costs and may not produce good schedules. The paper then proposes a novel semi-dynamic algorithm that allows the schedule to adapt to changes in the dynamic grid environment through both static and dynamic scheduling. Load balancing is incorporated to handle situations where jobs are delayed due to resource fluctuations or overloading of processors. The rest of the paper outlines the related works, proposed scheduling algorithm, system model, and evaluation of the approach.
This document summarizes research on transaction reordering techniques. It discusses transaction reordering approaches based on reducing resource conflicts and increasing resource sharing. Specifically, it covers:
1) A "steal-on-abort" technique that reorders an aborted transaction behind the transaction that caused the abort to avoid repeated conflicts.
2) A replication protocol that attempts to reorder transactions during certification to avoid aborts rather than restarting immediately.
3) Transaction reordering and grouping during continuous data loading to prevent deadlocks when loading data for materialized join views.
The document discusses semantic web services and their challenges. It provides an overview of semantic web technologies like WSDL, SOAP, UDDI, and OIL which are used to build semantic web services. The semantic web architecture adds semantics to web services through ontologies written in OWL and DAML+OIL. Key approaches to semantic web services include annotation, composition, and addressing privacy and security. However, semantic web services still face challenges in achieving their full potential due to issues in representation, reasoning, and a lack of real-world applications and data.
Website based patent information searching mechanismiaemedu
This document summarizes a research paper on developing a website-based patent information searching mechanism. It discusses how patent information can be used for technology development, rights acquisition and utilization, and management information. It describes different types of patent searches including novelty, validity, infringement, and state-of-the-art searches. It also evaluates and compares two major patent websites, Delphion and USPTO, in terms of their search capabilities and features.
Revisiting the experiment on detecting of replay and message modificationiaemedu
This document summarizes a research paper that proposes methods for detecting message modification and replay attacks in ad-hoc wireless networks. It begins with background on security issues in wireless networks and types of attacks. It then reviews existing intrusion detection systems and security techniques. Related work that detects attacks using features from the media access control layer or radio frequency fingerprinting is also discussed. The paper aims to present a simple, economical, and platform-independent system for detecting message modification, replay attacks, and unauthorized users in ad-hoc networks.
1) The document discusses the Cyclic Model Analysis (CMA) technique for sequential pattern mining which aims to predict customer purchasing behavior.
2) CMA calculates the Trend Distribution Function from sequential patterns to model purchasing trends over time. It then uses Generalized Periodicity Detection and Trend Modeling to identify periodic patterns and construct an approximating model.
3) The Cyclic Model Analysis algorithm is applied to further analyze the patterns, dividing the domain into segments where the distribution function is increasing or decreasing and applying the other techniques recursively to fully model the cyclic behavior.
Performance analysis of manet routing protocol in presenceiaemedu
This document analyzes the performance of different routing protocols in a mobile ad hoc network (MANET) under hybrid traffic conditions. It simulates a MANET with 50 nodes moving at speeds up to 20 m/s using the AODV, DSDV, and DSR routing protocols. Traffic included both constant bit rate and variable bit rate sources. Results found that AODV had lower average end-to-end delay and higher packet delivery ratios than DSDV and DSR as the percentage of variable bit rate traffic increased. AODV also performed comparably under both low and high node mobility scenarios with hybrid traffic.
Performance measurement of different requirements engineeringiaemedu
This document summarizes a research paper that compares the performance of different requirements engineering (RE) process models. It describes three RE process models - two existing linear models and the authors' iterative model. It also reviews literature on common RE activities and issues with descriptive models not reflecting real-world practices. The authors conducted interviews at two Indian companies to model their RE processes and compare them to the three models. They found the existing linear models did not fully capture the iterative nature of observed RE processes.
This document proposes a mobile safety system for automobiles that uses Android operating system. The system has two main components: a safety device and an automobile base unit. The safety device allows users to monitor the vehicle's location on a map, check its status, and control functions remotely. It communicates with the base unit in the vehicle using GPRS. The base unit collects data from sensors, determines the vehicle's GPS location, and can execute control commands like activating the brakes or switching off the engine. The document provides details on the design and algorithms of both components and includes examples of Java code implementation. The goal is to create an intelligent, secure and easy-to-use mobile safety system for vehicles using embedded systems and Android
Efficient text compression using special character replacementiaemedu
The document describes a proposed algorithm for efficient text compression using special character replacement and space removal. The algorithm replaces words with non-printable ASCII characters or combinations of characters to compress text files. It uses a dynamic dictionary to map words to their symbols. Spaces are removed from the compressed file in some cases to further reduce file size. Experimental results show the algorithm achieves better compression ratios than LZW, WinZip 10.0 and WinRAR 3.93 for various text file types while allowing lossless decompression.
The document discusses agile programming and proposes a new methodology. It provides an overview of existing agile methodologies like Scrum and Extreme Programming. Scrum uses short sprints to define tasks and deadlines. Extreme Programming focuses on practices like test-first development, pair programming, and continuous integration. The document notes drawbacks like an inability to support large or multi-site projects. It proposes designing a new methodology that combines the advantages of existing methods while overcoming their deficiencies.
Adaptive load balancing techniques in global scale grid environmentiaemedu
The document discusses various adaptive load balancing techniques for distributed applications in grid environments. It first describes adaptive mesh refinement algorithms that partition computational domains using space-filling curves or by distributing grids independently or at different levels. It also discusses dynamic load balancing using tiling and multi-criteria geometric partitioning. The document then covers repartitioning algorithms based on multilevel diffusion and the adaptive characteristics of structured adaptive mesh refinement applications. Finally, it discusses adaptive workload balancing on heterogeneous resources by benchmarking resource characteristics and estimating application parameters to find optimal load distribution.
A survey on the performance of job scheduling in workflow applicationiaemedu
This document summarizes a survey on job scheduling performance in workflow applications on grid platforms. It discusses an adaptive dual objective scheduling (ADOS) algorithm that takes both completion time and resource usage into account for measuring schedule performance. The study shows ADOS delivers good performance in completion time, resource usage, and robustness to changes in resource performance. It also describes the system architecture used, which includes a planner and executor component. The planner focuses on scheduling to minimize completion time while considering resource usage, and can reschedule if needed. The executor enacts the schedule on the grid resources.
A survey of mitigating routing misbehavior in mobile ad hoc networksiaemedu
This document summarizes existing methods to detect misbehavior in mobile ad hoc networks (MANETs). It discusses how routing protocols assume nodes will cooperate fully, but misbehavior like packet dropping can occur. It describes several techniques to detect misbehavior, including watchdog, ACK/SACK, TWOACK, S-TWOACK, and credit-based/reputation-based schemes. Credit-based schemes use virtual currencies to provide incentives for nodes to forward packets, while reputation-based schemes track nodes' past behaviors. The document aims to survey approaches for mitigating the impact of misbehaving nodes in MANET routing.
A novel approach for satellite imagery storage by classifyiaemedu
This document presents a novel approach for classifying and storing satellite imagery by detecting and storing only non-duplicate regions. It uses kernel principal component analysis to reduce the dimensionality and extract features of satellite images. Fuzzy N-means clustering is then used to segment the images into blocks. A duplication detection algorithm compares blocks to identify duplicate and non-duplicate regions. Only the non-duplicate regions are stored in the database, improving storage efficiency and updating speed compared to completely replacing existing images. Support vector machines are used to categorize the non-duplicate blocks into the appropriate classes in the existing images.
A self recovery approach using halftone images for medical imageryiaemedu
This document summarizes a proposed approach for securely transferring medical images over the internet using visual cryptography and halftone images. The approach uses error diffusion techniques to generate a halftone host image from the grayscale medical image. Shadow images are then created from the halftone host image using visual cryptography algorithms. When stacked together, the shadow images reveal the secret medical image. The halftone host image also contains an embedded logo that can be extracted to verify the integrity of the reconstructed image without a trusted third party.