One of the most challenging tasks in the laser-driven Hugoniot experiment is how to increase the reproducibility and precision of the experimental data to meet the stringent requirement in validating equation of state...One of the most challenging tasks in the laser-driven Hugoniot experiment is how to increase the reproducibility and precision of the experimental data to meet the stringent requirement in validating equation of state models. In such cases, the contribution of intrinsic uncertainty becomes important and cannot be ignored. A detailed analysis of the intrinsic uncertainty of the aluminum-iron impedance-match experiment based on the measurement of velocities is presented. The influence of mirror-reflection approximation on the shocked pressure of Fe and intrinsic uncertainties from the equation of state uncertainty of standard material are quantified, Furthermore, the comparison of intrinsic uncertainties of four different experimental approaches is presented. It is shown that, compared with other approaches including the most widely used approach which relies on the measurements of the shock velocities of AI and Fe, the approach which relies on the measurement of the particle velocity of Al and the shock velocity of Fe has the smallest intrinsic uncertainty, which would promote such work to significantly improve the diagnostics precision in such an approach.展开更多
As the fundamental unit of soil,aggregates exhibit significant variations in their abilities to adsorb and desorb trace elements,depending on their size.Batch experiments were conducted to investigate the characterist...As the fundamental unit of soil,aggregates exhibit significant variations in their abilities to adsorb and desorb trace elements,depending on their size.Batch experiments were conducted to investigate the characteristics of adsorption and desorption of cadmium(Cd),copper(Cu),and lead(Pb)on and from soil aggregate fractions from three layers of a calcareous soil profile in Changxing County,Zhejiang Prvince,China.The results showed that both Langmuir and Freundlich models successfully described the isothermal adsorption processes of single Cd,Cu,and Pb on different soil aggregates.Additionally,aggregates from the bottom soil layer showed the highest maximum adsorption capacity and required the lowest energy for Cd,Cu,and Pb adsorption compared to aggregates from upper soil layers.The physicochemical properties of soil aggregates were found to govern the adsorption and desorption processes of heavy metals rather than the aggregate size,wherein the contents of iron/aluminum oxides and organic matter were the most crucial influencing factors.Cadmium displayed higher mobility than Cu and Pb in different soil aggregates,and the maximum adsorption capacities of the metal ions followed the order of Pb>Cu>Cd,while their desorption rates followed the order of Cd>Cu>Pb.Additionally,the<0.053 mm microaggregates presented the lowest desorption rates for Cd,Cu,and Pb compared to other soil aggregate fractions in each soil layer.Furthermore,the orthogonal experiment results demonstrated that the competitive adsorption between metals occurred on soil aggregates in the ternary heavy metal system,but only the desorption of Pb was significantly affected by the coexistence of Cd and Cu.展开更多
Surface coating is a critical procedure in the case of maintenance engineering. Ceramic coating of the wear areas is of the best practice which substantially enhances the Mean Time between Failure (MTBF). EN24 is a co...Surface coating is a critical procedure in the case of maintenance engineering. Ceramic coating of the wear areas is of the best practice which substantially enhances the Mean Time between Failure (MTBF). EN24 is a commercial grade alloy which is used for various industrial applications like sleeves, nuts, bolts, shafts, etc. EN24 is having comparatively low corrosion resistance, and ceramic coating of the wear and corroding areas of such parts is a best followed practice which highly improves the frequent failures. The coating quality mainly depends on the coating thickness, surface roughness and coating hardness which finally decides the operability. This paper describes an experimental investigation to effectively optimize the Atmospheric Plasma Spray process input parameters of Al<sub>2</sub>O<sub>3</sub>-40% TiO<sub>2</sub> coatings to get the best quality of coating on EN24 alloy steel substrate. The experiments are conducted with an Orthogonal Array (OA) design of experiments (DoE). In the current experiment, critical input parameters are considered and some of the vital output parameters are monitored accordingly and separate mathematical models are generated using regression analysis. The Analytic Hierarchy Process (AHP) method is used to generate weights for the individual objective functions and based on that, a combined objective function is made. An advanced optimization method, Teaching-Learning-Based Optimization algorithm (TLBO), is practically utilized to the combined objective function to optimize the values of input parameters to get the best output parameters. Confirmation tests are also conducted and their output results are compared with predicted values obtained through mathematical models. The dominating effects of Al<sub>2</sub>O<sub>3</sub>-40% TiO<sub>2</sub> spray parameters on output parameters: surface roughness, coating thickness and coating hardness are discussed in detail. It is concluded that the input parameters variation directly affects the characteristics of output parameters and any number of input as well as output parameters can be easily optimized using the current approach.展开更多
基金Supported by the National Natural Science Foundation of China under Grant Nos 11305156 and 11305159
文摘One of the most challenging tasks in the laser-driven Hugoniot experiment is how to increase the reproducibility and precision of the experimental data to meet the stringent requirement in validating equation of state models. In such cases, the contribution of intrinsic uncertainty becomes important and cannot be ignored. A detailed analysis of the intrinsic uncertainty of the aluminum-iron impedance-match experiment based on the measurement of velocities is presented. The influence of mirror-reflection approximation on the shocked pressure of Fe and intrinsic uncertainties from the equation of state uncertainty of standard material are quantified, Furthermore, the comparison of intrinsic uncertainties of four different experimental approaches is presented. It is shown that, compared with other approaches including the most widely used approach which relies on the measurements of the shock velocities of AI and Fe, the approach which relies on the measurement of the particle velocity of Al and the shock velocity of Fe has the smallest intrinsic uncertainty, which would promote such work to significantly improve the diagnostics precision in such an approach.
基金financially supported by the National Key Research and Development Program of China(No.2017YFD0800305)。
文摘As the fundamental unit of soil,aggregates exhibit significant variations in their abilities to adsorb and desorb trace elements,depending on their size.Batch experiments were conducted to investigate the characteristics of adsorption and desorption of cadmium(Cd),copper(Cu),and lead(Pb)on and from soil aggregate fractions from three layers of a calcareous soil profile in Changxing County,Zhejiang Prvince,China.The results showed that both Langmuir and Freundlich models successfully described the isothermal adsorption processes of single Cd,Cu,and Pb on different soil aggregates.Additionally,aggregates from the bottom soil layer showed the highest maximum adsorption capacity and required the lowest energy for Cd,Cu,and Pb adsorption compared to aggregates from upper soil layers.The physicochemical properties of soil aggregates were found to govern the adsorption and desorption processes of heavy metals rather than the aggregate size,wherein the contents of iron/aluminum oxides and organic matter were the most crucial influencing factors.Cadmium displayed higher mobility than Cu and Pb in different soil aggregates,and the maximum adsorption capacities of the metal ions followed the order of Pb>Cu>Cd,while their desorption rates followed the order of Cd>Cu>Pb.Additionally,the<0.053 mm microaggregates presented the lowest desorption rates for Cd,Cu,and Pb compared to other soil aggregate fractions in each soil layer.Furthermore,the orthogonal experiment results demonstrated that the competitive adsorption between metals occurred on soil aggregates in the ternary heavy metal system,but only the desorption of Pb was significantly affected by the coexistence of Cd and Cu.
文摘Surface coating is a critical procedure in the case of maintenance engineering. Ceramic coating of the wear areas is of the best practice which substantially enhances the Mean Time between Failure (MTBF). EN24 is a commercial grade alloy which is used for various industrial applications like sleeves, nuts, bolts, shafts, etc. EN24 is having comparatively low corrosion resistance, and ceramic coating of the wear and corroding areas of such parts is a best followed practice which highly improves the frequent failures. The coating quality mainly depends on the coating thickness, surface roughness and coating hardness which finally decides the operability. This paper describes an experimental investigation to effectively optimize the Atmospheric Plasma Spray process input parameters of Al<sub>2</sub>O<sub>3</sub>-40% TiO<sub>2</sub> coatings to get the best quality of coating on EN24 alloy steel substrate. The experiments are conducted with an Orthogonal Array (OA) design of experiments (DoE). In the current experiment, critical input parameters are considered and some of the vital output parameters are monitored accordingly and separate mathematical models are generated using regression analysis. The Analytic Hierarchy Process (AHP) method is used to generate weights for the individual objective functions and based on that, a combined objective function is made. An advanced optimization method, Teaching-Learning-Based Optimization algorithm (TLBO), is practically utilized to the combined objective function to optimize the values of input parameters to get the best output parameters. Confirmation tests are also conducted and their output results are compared with predicted values obtained through mathematical models. The dominating effects of Al<sub>2</sub>O<sub>3</sub>-40% TiO<sub>2</sub> spray parameters on output parameters: surface roughness, coating thickness and coating hardness are discussed in detail. It is concluded that the input parameters variation directly affects the characteristics of output parameters and any number of input as well as output parameters can be easily optimized using the current approach.
