In order to find a parameter as the evaluation index that can capture the effect of the interaction between asphalt and aggregate, the rheological properties of asphalt mastics using two kinds of asphalts and four kin...In order to find a parameter as the evaluation index that can capture the effect of the interaction between asphalt and aggregate, the rheological properties of asphalt mastics using two kinds of asphalts and four kinds of aggregates under different filler-asphalt ratios were measured by a dynamic shear rheometer （DSR）. Moreover, four rheological parameters of K.Ziegel-B, Luis Ibrarra-A, complex shear modulus ΔG＊and complex viscosity Δη＊ for evaluating the interaction ability were studied. Results indicate that all the four parameters can characterize the interaction ability of asphalt and aggregate correctly and feasibly. Through the comparison of sensitivities and physical meanings of the four parameters, K.Ziegel-B with high sensitivity and exact physical meaning is finally selected as the evaluation index for interaction ability of asphalt and aggregate.展开更多
The inconsistency in the quality of dried products at different coordinates within a conventional multi-stage convective cabinet dryer is a critical but often neglected problem.In this study,the drying behavior(moistu...The inconsistency in the quality of dried products at different coordinates within a conventional multi-stage convective cabinet dryer is a critical but often neglected problem.In this study,the drying behavior(moisture ratio)occurring in each drying tray layer and the drying characteristics(shrinkage or area ratio)occurring at different coordinates within a multi-stage convective cabinet dryer was assessed.Potato slices were used as raw materials in the drying process.Experiments were carried out by varying three different hot air velocities and two different drying temperatures.It was found that under the same hot air temperature and air velocity,the change in moisture content in each drying tray and the shrinkage in each coordinate of the potato slices were different.Artificial neural network model was used to predict the moisture ratio and the area ratio of the potato slices based on the experimental data.The moisture ratio obtained from the experiment was evaluated by comparing it with the drying model.The results showed a good confidence level with the coefficient of determination in the range of 0.9627–0.9933.The shrinkage analysis was based on the photographic data taken through image processing before usage as the output data for the predictive model.The predictive model was designed to have various architectures with different parameters;both hidden layer and hidden layer size,learning rate,training cycles,sampling type and split ratio.The best moisture ratio and area ratio model provided the coefficient of determination of 0.996 and 0.970,respectively.展开更多
Acoustic Barkhausen Emission (ABE) and Electromagnetic Barkhausen Emission (EBE) have been measured. Explanations of the response of nickel to an applied magnetic field are considered using energy density diagrams and...Acoustic Barkhausen Emission (ABE) and Electromagnetic Barkhausen Emission (EBE) have been measured. Explanations of the response of nickel to an applied magnetic field are considered using energy density diagrams and critical fields deduced using Kersten's modified theory. These theoretical models are correlated with ABE and EBE measurements, providing further confirmation of the origins of ABE being non-180° domain wall motion. This paper also shows that the motion of domain walls, on increasing the magnetising fields from saturation to satu -ration, follows the sequence of 71°-180° - 109°. Values of critical fields correponding to 71°, 180° and 109° wall motions in nickel are determined using these techniques .展开更多
基金the National Natural Science Foundation of China(Nos.51108138,51008099)the Program for New Century Excellent Talents in University by Ministry of Education(No.NCET-06–0340)
文摘In order to find a parameter as the evaluation index that can capture the effect of the interaction between asphalt and aggregate, the rheological properties of asphalt mastics using two kinds of asphalts and four kinds of aggregates under different filler-asphalt ratios were measured by a dynamic shear rheometer （DSR）. Moreover, four rheological parameters of K.Ziegel-B, Luis Ibrarra-A, complex shear modulus ΔG＊and complex viscosity Δη＊ for evaluating the interaction ability were studied. Results indicate that all the four parameters can characterize the interaction ability of asphalt and aggregate correctly and feasibly. Through the comparison of sensitivities and physical meanings of the four parameters, K.Ziegel-B with high sensitivity and exact physical meaning is finally selected as the evaluation index for interaction ability of asphalt and aggregate.
文摘The inconsistency in the quality of dried products at different coordinates within a conventional multi-stage convective cabinet dryer is a critical but often neglected problem.In this study,the drying behavior(moisture ratio)occurring in each drying tray layer and the drying characteristics(shrinkage or area ratio)occurring at different coordinates within a multi-stage convective cabinet dryer was assessed.Potato slices were used as raw materials in the drying process.Experiments were carried out by varying three different hot air velocities and two different drying temperatures.It was found that under the same hot air temperature and air velocity,the change in moisture content in each drying tray and the shrinkage in each coordinate of the potato slices were different.Artificial neural network model was used to predict the moisture ratio and the area ratio of the potato slices based on the experimental data.The moisture ratio obtained from the experiment was evaluated by comparing it with the drying model.The results showed a good confidence level with the coefficient of determination in the range of 0.9627–0.9933.The shrinkage analysis was based on the photographic data taken through image processing before usage as the output data for the predictive model.The predictive model was designed to have various architectures with different parameters;both hidden layer and hidden layer size,learning rate,training cycles,sampling type and split ratio.The best moisture ratio and area ratio model provided the coefficient of determination of 0.996 and 0.970,respectively.
文摘Acoustic Barkhausen Emission (ABE) and Electromagnetic Barkhausen Emission (EBE) have been measured. Explanations of the response of nickel to an applied magnetic field are considered using energy density diagrams and critical fields deduced using Kersten's modified theory. These theoretical models are correlated with ABE and EBE measurements, providing further confirmation of the origins of ABE being non-180° domain wall motion. This paper also shows that the motion of domain walls, on increasing the magnetising fields from saturation to satu -ration, follows the sequence of 71°-180° - 109°. Values of critical fields correponding to 71°, 180° and 109° wall motions in nickel are determined using these techniques .
