以钠型辛烯基琥珀酸淀粉酯为原料,制备高价离子型辛烯基琥珀酸淀粉酯(钡型、钙型、三价铁型),并以柠檬油为芯材,高价离子型辛烯基琥珀酸淀粉酯为壁材,采用喷雾干燥法制备柠檬油微胶囊,测定了高价离子型辛烯基琥珀酸淀粉酯的离子交换率,...以钠型辛烯基琥珀酸淀粉酯为原料,制备高价离子型辛烯基琥珀酸淀粉酯(钡型、钙型、三价铁型),并以柠檬油为芯材,高价离子型辛烯基琥珀酸淀粉酯为壁材,采用喷雾干燥法制备柠檬油微胶囊,测定了高价离子型辛烯基琥珀酸淀粉酯的离子交换率,乳液的乳化稳定性及黏度,并考察了此种淀粉酯作为微胶囊壁材对柠檬油包埋率的影响,最后利用扫描电子显微镜观察微胶囊的形貌特征。结果表明,淀粉酯中离子化合价的改变对乳液黏度、乳化稳定性和柠檬油的包埋率均有显著影响(p <0.05),其中,三价铁型辛烯基琥珀酸淀粉酯作壁材时,乳液黏度为1.04 m Pa·s,柠檬油包埋率达到了96.51%;扫描电镜分析表明,三价铁型壁材制备的微胶囊粒径最大,囊壁最厚。说明三价铁型辛烯基琥珀酸淀粉酯可作为一种性能良好的微胶囊壁材。展开更多
The study of mooring forces is an important issue in marine engineering and offshore structures.Although being widely applied in mooring system,numerical simulations suffer from difficulties in their multivariate and ...The study of mooring forces is an important issue in marine engineering and offshore structures.Although being widely applied in mooring system,numerical simulations suffer from difficulties in their multivariate and nonlinear modeling.Data-driven model is employed in this paper to predict the mooring forces in different lines,which is a new attempt to study the mooring forces.The height and period of regular wave,length of berth,ship load,draft and rolling period are considered as potential influencing factors.Input variables are determined using mutual information(MI)and principal component analysis(PCA),and imported to an artificial neural network(NN)model for prediction.With study case of 200 and 300 thousand tons ships experimental data obtained in Dalian University of Technology,MI is found to be more appropriate to provide effective input variables than PCA.Although the three factors regarding ship characteristics are highly correlated,it is recommended to input all of them to the NN model.The accuracy of predicting aft spring line force attains as high as 91.2%.The present paper demonstrates the feasibility of MI-NN model in mapping the mooring forces and their influencing factors.展开更多
文摘以钠型辛烯基琥珀酸淀粉酯为原料,制备高价离子型辛烯基琥珀酸淀粉酯(钡型、钙型、三价铁型),并以柠檬油为芯材,高价离子型辛烯基琥珀酸淀粉酯为壁材,采用喷雾干燥法制备柠檬油微胶囊,测定了高价离子型辛烯基琥珀酸淀粉酯的离子交换率,乳液的乳化稳定性及黏度,并考察了此种淀粉酯作为微胶囊壁材对柠檬油包埋率的影响,最后利用扫描电子显微镜观察微胶囊的形貌特征。结果表明,淀粉酯中离子化合价的改变对乳液黏度、乳化稳定性和柠檬油的包埋率均有显著影响(p <0.05),其中,三价铁型辛烯基琥珀酸淀粉酯作壁材时,乳液黏度为1.04 m Pa·s,柠檬油包埋率达到了96.51%;扫描电镜分析表明,三价铁型壁材制备的微胶囊粒径最大,囊壁最厚。说明三价铁型辛烯基琥珀酸淀粉酯可作为一种性能良好的微胶囊壁材。
基金financially supported by“Demonstration Project of Innovation and Development of Marine Economy in Fuzhou in the13th Five-Year Plan(Grant No.FZHJ16)”“2019 Subsidy Fund Project for Marine Economy Development in Fujian Province(Grant No.FJHJF-L-2019-8)”Basic Scientific Research Operating Expenses of Central Public Welfare Research Institutes(Grant No.TKS170106)。
文摘The study of mooring forces is an important issue in marine engineering and offshore structures.Although being widely applied in mooring system,numerical simulations suffer from difficulties in their multivariate and nonlinear modeling.Data-driven model is employed in this paper to predict the mooring forces in different lines,which is a new attempt to study the mooring forces.The height and period of regular wave,length of berth,ship load,draft and rolling period are considered as potential influencing factors.Input variables are determined using mutual information(MI)and principal component analysis(PCA),and imported to an artificial neural network(NN)model for prediction.With study case of 200 and 300 thousand tons ships experimental data obtained in Dalian University of Technology,MI is found to be more appropriate to provide effective input variables than PCA.Although the three factors regarding ship characteristics are highly correlated,it is recommended to input all of them to the NN model.The accuracy of predicting aft spring line force attains as high as 91.2%.The present paper demonstrates the feasibility of MI-NN model in mapping the mooring forces and their influencing factors.
