The Experts below are selected from a list of 19665 Experts worldwide ranked by ideXlab platform
Jinyoung Park - One of the best experts on this subject based on the ideXlab platform.
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The Use of the Surface Roughness Value to Quantify the Extent of Supercritical CO2 Involved Geochemical Reaction at a CO2 Sequestration Site
Applied Sciences, 2017Co-Authors: Jinyoung Park, Kyoungbae Baek, Minhee Lee, Chul-woo Chung, Sookyun WangAbstract:Changes in the physical properties of the supercritical CO2 (scCO2) reservoir rock is one of the most important factors in controlling the storage safety at a scCO2 sequestration site. According to recent studies, it is probable that geochemical reactions influence changes in the rock properties after a CO2 injection in the subSurface, but quantitative data that reveal the interrelationship of the factors involved and the parameters needed to evaluate the extent of scCO2-rock-groundwater reactions have not yet been presented. In this study, the potential for employing the Surface Roughness Value (SRRMS) to quantify the extent of the scCO2 involved reaction was evaluated by lab-scale experiments. For a total of 150 days of a simulation of the scCO2-sandstone-groundwater reaction at 100 bar and 50 °C, the trends in changes in the physical rock properties, pH change, and cation concentration change followed similar logarithmic patterns that were significantly correlated with the logarithmic increase in the SRRMS Value. These findings suggest that changes in Surface Roughness can quantify the extent of the geochemical weathering process and can be used to evaluate leakage safety due to the progressive changes in rock properties at scCO2 storage sites.
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Investigation of the Relationship between CO2 Reservoir Rock Property Change and the Surface Roughness Change Originating from the Supercritical CO2-Sandstone-groundwater Geochemical Reaction at CO2 Sequestration Condition
Energy Procedia, 2015Co-Authors: Minhee Lee, Sookyun Wang, Seyoon Kim, Jinyoung ParkAbstract:Abstract Laboratory experiments were performed to investigate the property change of sandstones, resulting from scCO2-rock-groundwater reaction for 150 days under CO2 sequestration conditions. The average Surface Roughness Value (SRrms) increased more than 3.5 times during early 90 days, suggesting that the weathering process of sandstone occurs in the early reaction time after CO2 injection. The average porosity of sandstones increased by 8.8% and P wave velocity decreased by 5.7%. The trend of rock property change and SRrms change showed in a logarithmic manner, indicating that the physical property change of reservoir rocks directly comes from CO2 related geochemical reaction.
Safian Sharif - One of the best experts on this subject based on the ideXlab platform.
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application of ga to optimize cutting conditions for minimizing Surface Roughness in end milling machining process
Expert Systems With Applications, 2010Co-Authors: Azlan Mohd Zain, Habibollah Haron, Safian SharifAbstract:This study is carried out to observe the optimal effect of the radial rake angle of the tool, combined with speed and feed rate cutting conditions in influencing the Surface Roughness result. In machining, the Surface Roughness Value is targeted as low as possible and is given by the Value of the optimal cutting conditions. By looking at previous studies, as far as they have been reviewed, it seems that the application of GA optimization techniques for optimizing the cutting conditions Value of the radial rake angle for minimizing Surface Roughness in the end milling of titanium alloy is still not given consideration by researchers. Therefore, having dealt with radial rake angle machining parameter, this study attempts the application of GA to find the optimal solution of the cutting conditions for giving the minimum Value of Surface Roughness. By referring to the real machining case study, the regression model is developed. The best regression model is determined to formulate the fitness function of the GA. The analysis of this study has proven that the GA technique is capable of estimating the optimal cutting conditions that yield the minimum Surface Roughness Value. With the highest speed, lowest feed rate and highest radial rake angle of the cutting conditions scale, the GA technique recommends [email protected] as the best minimum predicted Surface Roughness Value. This means the GA technique has decreased the minimum Surface Roughness Value of the experimental sample data, regression modelling and response Surface methodology technique by about 27%, 26% and 50%, respectively.
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prediction of Surface Roughness in the end milling machining using artificial neural network
Expert Systems With Applications, 2010Co-Authors: Azlan Mohd Zain, Habibollah Haron, Safian SharifAbstract:This paper presents the ANN model for predicting the Surface Roughness performance measure in the machining process by considering the Artificial Neural Network (ANN) as the essential technique for measuring Surface Roughness. A revision of several previous studies associated with the modelling issue is carried out to assess how capable ANN is as a technique to model the problem. Based on the studies conducted by previous researchers, the abilities and limitations of the ANN technique for predicting Surface Roughness are highlighted. Utilization of ANN-based modelling is also discussed to show the required basic elements for predicting Surface Roughness in the milling process. In order to investigate how capable the ANN technique is at estimating the prediction Value for Surface Roughness, a real machining experiment is referred to in this study. In the experiment, 24 samples of data concerned with the milling operation are collected based on eight samples of data of a two-level DOE 2^k full factorial analysis, four samples of centre data, and 12 samples of axial data. All data samples are tested in real machining by using uncoated, TiAIN coated and SN"T"R coated cutting tools of titanium alloy (Ti-6A1-4V). The Matlab ANN toolbox is used for the modelling purpose with some justifications. Feedforward backpropagation is selected as the algorithm with traingdx, learngdx, MSE, logsig as the training, learning, performance and transfer functions, respectively. With three nodes in the input layer and one node in the output layer, eight networks are developed by using different numbers of nodes in the hidden layer which are 3-1-1, 3-3-1, 3-6-1, 3-7-1, 3-1-1-1, 3-3-3-1, 3-6-6-1 and 3-7-7-1 structures. It was found that the 3-1-1 network structure of the SN"T"R coated cutting tool gave the best ANN model in predicting the Surface Roughness Value. This study concludes that the model for Surface Roughness in the milling process could be improved by modifying the number of layers and nodes in the hidden layers of the ANN network structure, particularly for predicting the Value of the Surface Roughness performance measure. As a result of the prediction, the recommended combination of cutting conditions to obtain the best Surface Roughness Value is a high speed with a low feed rate and radial rake angle.
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Application of GA to observe the optimal effect of the radial rake angle for minimising Surface Roughness in end milling
International Journal of Machining and Machinability of Materials, 2010Co-Authors: Azlan Mohd Zain, Habibollah Haron, Safian SharifAbstract:This study is carried out to observe the optimal effect of the radial rake angle of the tool, combined with speed and feed rate cutting conditions in influencing the Surface Roughness result. In machining, the Surface Roughness Value is targeted as low as possible and is given by the Value of the optimal cutting conditions. By looking at previous studies, as far as they have been reviewed, it seems that the application of GA optimization techniques for optimizing the cutting conditions Value of the radial rake angle for minimizing Surface Roughness in the end milling of titanium alloy is still not given consideration by researchers. Therefore, having dealt with radial rake angle machining parameter, this study attempts the application of GA to find the optimal solution of the cutting conditions for giving the minimum Value of Surface Roughness. By referring to the real machining case study, the regression model is developed. The best regression model is determined to formulate the fitness function of the GA. The analysis of this study has proven that the GA technique is capable of estimating the optimal cutting conditions that yield the minimum Surface Roughness Value. With the highest speed, lowest feed rate and highest radial rake angle of the cutting conditions scale, the GA technique recommends 0.138 μm as the best minimum predicted Surface Roughness Value. This means the GA technique has decreased the minimum Surface Roughness Value of the experimental sample data, regression modelling and response Surface methodology technique by about 27%, 26% and 50%, respectively.
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Genetic Algorithm for optimizing cutting conditions of uncoated carbide (WC-Co) in milling machining operation
2009 Innovative Technologies in Intelligent Systems and Industrial Applications, 2009Co-Authors: Azlan Mohd Zain, Habibollah Haron, Safian SharifAbstract:This paper presents the capability of Genetic Algorithm (GA) technique in obtaining the optimal machining parameters for uncoated carbide (WC-Co) tool to minimize the Surface Roughness (R a ) Value in milling process. The optimal machining parameters are generated using MATLAB Optimization toolbox. Regression technique is applied to create the Surface Roughness predicted equation to be taken as a fitness function of the GA. Result of this study indicated that the GA technique capable to estimate the optimal cutting conditions that yields to the minimum R a Value. With high speed, low feed and high radial rake angle of the cutting conditions rate, GA technique recommended 0.17533µm as the best minimum predicted Surface Roughness Value. Consequently, the GA technique has decreased the minimum Surface Roughness Value of the experimental data by about 25.7 %.
Christian Coddet - One of the best experts on this subject based on the ideXlab platform.
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Oxidation Control of Atmospheric Plasma Sprayed FeAl Intermetallic Coatings Using Dry-Ice Blasting
Journal of Thermal Spray Technology, 2013Co-Authors: Bo Song, BERNARD HANSZ, Pierre Coddet, Shujuan Dong, Thierry Grosdidier, Christian CoddetAbstract:The performance of atmospheric plasma sprayed FeAl coatings has been remarkably limited because of oxidation and phase transformation during the high-temperature process of preparation. In the present work, FeAl intermetallic coatings were prepared by atmospheric plasma spraying combined with dry-ice blasting. The microstructure, oxidation, porosity, and Surface Roughness of FeAl intermetallic coatings were investigated. The results show that a denser FeAl coating with a lower content of oxide and lower degree of phase transformation can be achieved because of the cryogenic, the cleaning, and the mechanical effects of dry-ice blasting. The Surface Roughness Value decreased, and the adhesive strength of FeAl coating increased after the application of dry-ice blasting during the atmospheric plasma spraying process. Moreover, the microhardness of the FeAl coating increased by 72%, due to the lower porosity and higher dislocation density.
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Oxidation Control of Atmospheric Plasma Sprayed FeAl Intermetallic Coatings Using Dry-Ice Blasting
Journal of Thermal Spray Technology, 2012Co-Authors: Bo Song, BERNARD HANSZ, Pierre Coddet, Shujuan Dong, Thierry Grosdidier, Christian CoddetAbstract:International Thermal Spray Conference (ITSC), Houston, TX, MAY 21-24, 2012International audienceThe performance of atmospheric plasma sprayed FeAl coatings has been remarkably limited because of oxidation and phase transformation during the high-temperature process of preparation. In the present work, FeAl intermetallic coatings were prepared by atmospheric plasma spraying combined with dry-ice blasting. The microstructure, oxidation, porosity, and Surface Roughness of FeAl intermetallic coatings were investigated. The results show that a denser FeAl coating with a lower content of oxide and lower degree of phase transformation can be achieved because of the cryogenic, the cleaning, and the mechanical effects of dry-ice blasting. The Surface Roughness Value decreased, and the adhesive strength of FeAl coating increased after the application of dry-ice blasting during the atmospheric plasma spraying process. Moreover, the microhardness of the FeAl coating increased by 72%, due to the lower porosity and higher dislocation density
Sookyun Wang - One of the best experts on this subject based on the ideXlab platform.
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The Use of the Surface Roughness Value to Quantify the Extent of Supercritical CO2 Involved Geochemical Reaction at a CO2 Sequestration Site
Applied Sciences, 2017Co-Authors: Jinyoung Park, Kyoungbae Baek, Minhee Lee, Chul-woo Chung, Sookyun WangAbstract:Changes in the physical properties of the supercritical CO2 (scCO2) reservoir rock is one of the most important factors in controlling the storage safety at a scCO2 sequestration site. According to recent studies, it is probable that geochemical reactions influence changes in the rock properties after a CO2 injection in the subSurface, but quantitative data that reveal the interrelationship of the factors involved and the parameters needed to evaluate the extent of scCO2-rock-groundwater reactions have not yet been presented. In this study, the potential for employing the Surface Roughness Value (SRRMS) to quantify the extent of the scCO2 involved reaction was evaluated by lab-scale experiments. For a total of 150 days of a simulation of the scCO2-sandstone-groundwater reaction at 100 bar and 50 °C, the trends in changes in the physical rock properties, pH change, and cation concentration change followed similar logarithmic patterns that were significantly correlated with the logarithmic increase in the SRRMS Value. These findings suggest that changes in Surface Roughness can quantify the extent of the geochemical weathering process and can be used to evaluate leakage safety due to the progressive changes in rock properties at scCO2 storage sites.
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Investigation of the Relationship between CO2 Reservoir Rock Property Change and the Surface Roughness Change Originating from the Supercritical CO2-Sandstone-groundwater Geochemical Reaction at CO2 Sequestration Condition
Energy Procedia, 2015Co-Authors: Minhee Lee, Sookyun Wang, Seyoon Kim, Jinyoung ParkAbstract:Abstract Laboratory experiments were performed to investigate the property change of sandstones, resulting from scCO2-rock-groundwater reaction for 150 days under CO2 sequestration conditions. The average Surface Roughness Value (SRrms) increased more than 3.5 times during early 90 days, suggesting that the weathering process of sandstone occurs in the early reaction time after CO2 injection. The average porosity of sandstones increased by 8.8% and P wave velocity decreased by 5.7%. The trend of rock property change and SRrms change showed in a logarithmic manner, indicating that the physical property change of reservoir rocks directly comes from CO2 related geochemical reaction.
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study for the geochemical reaction of ca feldspar amphibole and olivine with supercritical co_2 and brine on the co_2 sequestration condition
Economic and Environmental Geology, 2011Co-Authors: Hyunmin Kang, Sanghee Park, Minho Park, Sookyun WangAbstract:The lab scale experiments to investigate the geochemical reaction among supercritical -mineral-brine which occurs at sequestration sites were performed. High pressurized cell system (l00 bar and ) was designed to create supercritical in the cell, simulating the sub-Surface storage site. From the high pressurized cell experiment, the Surface changes of Ca-feldspar, amphibole (tremolite) and olivine, resulted from the supercritical -mineral-brine reaction, were observed and the dissolution of minerals into the brine was also investigated. The mineral slabs were polished and three locations on the Surface were randomly selected for the image analysis of SPM and the Surface Roughness Value (SRV) of those locations were calculated to quantify the change of mineral Surface for 30 days. At a certain time interval, SPM images and SRVs of the same mineral Surface were acquired. The secondary minerals precipitated on the mineral Surfaces were also analyzed on SEM/EDS after the experiment. From the experiments, the average SRV of Ca-feldspar increased from 2.77 nm to 20.87 nm for 30 days, suggesting that the dissolution of Ca-feldspar occurs in active when the feldspars contact with supercritical and brine. For the amphibole, the average SRV increased from 2.54 nm to 8.31 nm and for the olivine from 0.77 nm to 11.03 run. For the Ca-feldspar, , , , , and were dissolved in the highest order and , , and for the amphibole. Fe (or Mg) - oxides were precipitated as the secondary minerals on the Surfaces of amphibole and olivine after 30 days reaction. Results suggested that , and rich minerals would be significantly weathered when it contacts with the supercritical and brine at sequestration sites.
S. Srinivas - One of the best experts on this subject based on the ideXlab platform.
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Depth of Penetration and Surface Roughness Analysis of Al6061 cut by Abrasive Water Jet
Solid State Technology, 2020Co-Authors: Prabhu Swamy N R, V Bharathi, Ramji B R, S. SrinivasAbstract:In this study, model equations to predict average Surface Roughness Value of abrasive water jet cutaluminium 6061 alloy are developed. Model equations are developed considering water jet pressure,abrasive flow rate and traverse speed of the jet. Model equations help in knowing average Surface RoughnessValue on the cutting and deformation wear regions. 27 abrasive water jet cutting experiments are conductedon trapezoidal shaped aluminium 6061 block. Depth of penetration Values are found for all experimentalcutting conditions. Average Surface Roughness Values are found by non-contact Surface Roughness tester.Surface Roughness testing is carried out along the length of depth of penetration. Low and high averageSurface Roughness Values are noticed on the cutting and deformation wear regions respectively. SmoothSurface finish and rough Surface finish with striations are observed on the cutting and deformation wearregions respectively.
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a model for average Surface Roughness for abrasive waterjet cut metal matrix composites
2020Co-Authors: N Prabhu R Swamy, S. SrinivasAbstract:Abrasive waterjet is a cool cutting technology with the ability to cut most of the difficult to cut materials. Average Surface Roughness Value is a measure of Surface finish of a manufactured product. Modeling of the average Roughness Value of aluminium–silicon carbide metal matrix composites by dimensional method technique is carried out for both cutting and deformation mode regions. Abrasive waterjet cutting experimentation is carried out on trapezoidal-shaped aluminium–metal matrix composites by varying the process parameters. The model results are in good relation with the experimental results for the cutting wear region. The deformation wear results have slightly more percentage of error in comparison with the cutting wear region. Average Surface Roughness Value is measured along the depth of penetration with noncontact confocal microscope. The average results of the cutting and deformation wear region are considered for modeling.
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An investigation on Surface Roughness of aluminium metal matrix composites cut by abrasive waterjet
IOP Conference Series: Materials Science and Engineering, 2018Co-Authors: N. R. Prabhu Swamy, S. SrinivasAbstract:Abrasive waterjet cutting is a new, growing technology and is used to cut difficult to cut materials. Surface Roughness of abrasive waterjet cut materials is an important output parameter. In this study an attempt is made to investigate the average Surface Roughness Value of aluminium 6061 and its composites along the depth of penetration. Trapezoidal shaped aluminum-silicon particulate metal matrix composites manufactured by stir casting method with 5, 10 and 15 weight percentage of silicon carbide particles reinforced in aluminum 6061 alloy are cut by abrasive waterjet employing #80 mesh size. The average Surface Roughness Value is increasing as the depth of penetration increases in aluminium 6061 base material and its composites. Also, it increases with the increase in percentage of silicon carbide particles in the metal matrix composites. The waterjet pressure and traverse speed of the jet has a significant effect of average Surface Roughness of cut samples.
