The bamboo powder/polycaprolactone composites （BPPC） were prepared by torque-rheometer to investigate the effects of recipes and processing conditions on the theological properties of BPPC. The morphological behavio...The bamboo powder/polycaprolactone composites （BPPC） were prepared by torque-rheometer to investigate the effects of recipes and processing conditions on the theological properties of BPPC. The morphological behavior and mechanical properties of BPPC were also studied. Results showed that the optimum recipe for composite materials is composed of 70% of polycaprolactone, 30% of bamboo powder according to volume, 1.6 % of aluminate coupling agent, 1.2% of stearic acid, and 2% of paraffin to bamboo powder according to mass ratio The optimum processing condition parameters were determined as the rotational speed at 50 r-min^-1 and the temperature at 100℃ for BPPC. The BPPC （containing 30 copies bamboo powder） possessed eminent interfacial compatibility and mechanical properties of BPPC.展开更多
Conducting hydrodynamic and physical motion simulation tests using a large-scale self-propelled model under actual wave conditions is an important means for researching environmental adaptability of ships. During the ...Conducting hydrodynamic and physical motion simulation tests using a large-scale self-propelled model under actual wave conditions is an important means for researching environmental adaptability of ships. During the navigation test of the self-propelled model, the complex environment including various port facilities, navigation facilities, and the ships nearby must be considered carefully, because in this dense environment the impact of sea waves and winds on the model is particularly significant. In order to improve the security of the self-propelled model, this paper introduces the Q learning based on reinforcement learning combined with chaotic ideas for the model＇s collision avoidance, in order to improve the reliability of the local path planning. Simulation and sea test results show that this algorithm is a better solution for collision avoidance of the self navigation model under the interference of sea winds and waves with good adaptability.展开更多
基金This work was funded by Natural Science Foundation of Fujian Province （No. 2008J0227） and Science and Technology Office of Fujian Province （No. 2007F5030）,
文摘The bamboo powder/polycaprolactone composites （BPPC） were prepared by torque-rheometer to investigate the effects of recipes and processing conditions on the theological properties of BPPC. The morphological behavior and mechanical properties of BPPC were also studied. Results showed that the optimum recipe for composite materials is composed of 70% of polycaprolactone, 30% of bamboo powder according to volume, 1.6 % of aluminate coupling agent, 1.2% of stearic acid, and 2% of paraffin to bamboo powder according to mass ratio The optimum processing condition parameters were determined as the rotational speed at 50 r-min^-1 and the temperature at 100℃ for BPPC. The BPPC （containing 30 copies bamboo powder） possessed eminent interfacial compatibility and mechanical properties of BPPC.
基金Foundation item： Supported by the National Natural Science Foundation of China under Grant No.61100005.
文摘Conducting hydrodynamic and physical motion simulation tests using a large-scale self-propelled model under actual wave conditions is an important means for researching environmental adaptability of ships. During the navigation test of the self-propelled model, the complex environment including various port facilities, navigation facilities, and the ships nearby must be considered carefully, because in this dense environment the impact of sea waves and winds on the model is particularly significant. In order to improve the security of the self-propelled model, this paper introduces the Q learning based on reinforcement learning combined with chaotic ideas for the model＇s collision avoidance, in order to improve the reliability of the local path planning. Simulation and sea test results show that this algorithm is a better solution for collision avoidance of the self navigation model under the interference of sea winds and waves with good adaptability.
